{"id":6199,"date":"2026-10-15T12:37:03","date_gmt":"2026-10-15T12:37:03","guid":{"rendered":"https:\/\/brandmentions.com\/blog\/?p=6199&#038;preview=true&#038;preview_id=6199"},"modified":"2026-10-15T12:48:53","modified_gmt":"2026-10-15T12:48:53","slug":"best-geo-tools","status":"publish","type":"post","link":"https:\/\/brandmentions.com\/blog\/best-geo-tools\/","title":{"rendered":"9 Best GEO and AI Visibility Tools for PR &#038; Communications Teams in 2026"},"content":{"rendered":"<p><strong><em>The best GEO and AI visibility tools for PR and communications teams in 2026 are Profound for enterprise AI search analytics, Muck Rack Generative Pulse for linking AI citations to journalists, BrandMentions for monitoring the media coverage AI engines cite, and Peec AI for tracking competitor visibility.<\/em><\/strong><\/p>\n<p><strong> The right choice depends on what your team needs to measure. If you want to know how often ChatGPT, Gemini, or Perplexity recommends your brand, choose a prompt-level AI visibility tracker. If you need to monitor news, discussions, and third-party coverage that may appear in those answers, use a media-monitoring platform. Many PR teams benefit from combining both.<\/strong><\/p>\n<p data-pm-slice=\"1 1 []\">This guide compares nine platforms by AI engine coverage, citation intelligence, PR workflows, features, pricing, and limitations, with recommendations for different team sizes and budgets.<\/p>\n<h2 id=\"summary\">Summary<\/h2>\n<ul>\n<li><strong>Earned media drives 84% of AI citations; paid and advertorial content sits at 0.3%. <\/strong>In its May 2026 <em>What Is AI Reading?<\/em> study, Muck Rack analyzed more than 25 million cited links across ChatGPT, Claude, and Gemini, finding that 84% of citations were classified as earned media, including 27% from journalism. Paid and advertorial sources accounted for 0.3%.<\/li>\n<li><strong>No single tool wins everywhere, and the best stack is a pair.<\/strong> Run one prompt-level tracker to see what the engines say, and one media-intelligence layer to watch the public coverage feeding those answers. One tool reports the symptom; the other shows the cause.<\/li>\n<li><strong>Treat every vendor score as directional, not exact.<\/strong> AI answers shift by prompt wording, engine, geography, personalization, and model update. A single-day number is noise. Prices in this category also change within weeks, so confirm everything at checkout.<\/li>\n<\/ul>\n<h2 id=\"at-a-glance-best-geo-and-ai-visibility-tools-by-use-case\">At a Glance: Best GEO and AI Visibility Tools by Use Case<\/h2>\n<ul>\n<li><strong>Best for teams tracking the mentions that feed AI:<\/strong> BrandMentions. Captures mentions across news, blogs, social, and forums (daily on Starter, up to real time on Expert), the upstream earned-media layer prompt-trackers cannot see.<\/li>\n<li><strong>Best for PR teams linking earned media to AI narratives:<\/strong> Muck Rack Generative Pulse. Maps the journalists and outlets driving AI answers inside a PR workflow your team already runs.<\/li>\n<li><strong>Best for enterprise depth and board-level reporting:<\/strong> Profound. The deepest prompt-level analytics and widest engine coverage, priced for a custom contract.<\/li>\n<li><strong>Best for competitive share of voice on a mid-market budget:<\/strong> Peec AI. Clean side-by-side tracking against three or four rivals, unlimited seats, ten-minute setup.<\/li>\n<li><strong>Best for testing before you spend:<\/strong> AthenaHQ. A genuinely free tier with credits each month, not a time-limited trial.<\/li>\n<li><strong>Best budget-first tracker:<\/strong> Otterly. The cheapest credible ongoing monitoring at $29 a month across the core engines.<\/li>\n<li><strong>Best for persona and customer-journey depth:<\/strong> Scrunch. The only tool here that measures whether different buyer profiles actually receive different AI answers.<\/li>\n<li><strong>Best for existing Ahrefs users:<\/strong> Ahrefs Brand Radar. An AI visibility index built from more than 400 million real search-backed prompts.<\/li>\n<li><strong>Best for existing Semrush users:<\/strong> Semrush AI Visibility Toolkit. AI answer tracking plus a technical crawl-access audit inside a suite your SEO team already knows.<\/li>\n<\/ul>\n<h2 data-pm-slice=\"1 1 []\">How We Evaluated These AI Visibility Tools<\/h2>\n<p>Each tool is scored out of 100 against the eight weighted criteria below, chosen to map to what PR and communications teams report upward, not to SEO vanity metrics.<\/p>\n<p>Because direct AI visibility trackers and media-monitoring platforms serve different purposes, we compare their capabilities by use case rather than treating every feature as directly equivalent. For the moment, BrandMentions does not query AI engines, so for the two AI-specific criteria (citation attribution and AI engines covered), it is scored on how well it covers the sources AI engines cite: news, blogs, forums, social, and reviews. Read its score as a measure of upstream source coverage, not as a ranking against direct AI-answer trackers.<\/p>\n<p>The recommendations reflect documented capabilities and suitability for communications teams, not standardized hands-on performance testing.<\/p>\n<table>\n<thead>\n<tr>\n<th>Criterion<\/th>\n<th align=\"right\">Weight<\/th>\n<th>What it measures<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Earned-media and citation attribution<\/td>\n<td align=\"right\">20%<\/td>\n<td>Can it trace an AI citation to the outlet, journalist, or source URL?<\/td>\n<\/tr>\n<tr>\n<td>AI engines covered<\/td>\n<td align=\"right\">20%<\/td>\n<td>ChatGPT, Gemini, Perplexity, Claude, Copilot, Google AI Overviews and AI Mode<\/td>\n<\/tr>\n<tr>\n<td>Sampling rigor and volatility handling<\/td>\n<td align=\"right\">15%<\/td>\n<td>Repeat runs, multi-country support, deduplication, refresh cadence<\/td>\n<\/tr>\n<tr>\n<td>Sentiment and narrative tracking<\/td>\n<td align=\"right\">10%<\/td>\n<td>Tone, narrative themes, emotion detection over time<\/td>\n<\/tr>\n<tr>\n<td>Accuracy and reputation monitoring<\/td>\n<td align=\"right\">10%<\/td>\n<td>Wrong-claim flags, alerting on inaccuracies<\/td>\n<\/tr>\n<tr>\n<td>Comms-team fit<\/td>\n<td align=\"right\">10%<\/td>\n<td>Journalist lists, outreach workflows, board-ready reporting<\/td>\n<\/tr>\n<tr>\n<td>Pricing transparency and free tier<\/td>\n<td align=\"right\">10%<\/td>\n<td>Public pricing, trial availability, predictable overage rules<\/td>\n<\/tr>\n<tr>\n<td>Data freshness<\/td>\n<td align=\"right\">5%<\/td>\n<td>Daily, weekly, or on-demand refresh<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p data-pm-slice=\"1 1 []\"><strong>Research methodology:<\/strong> This comparison is based on publicly available vendor documentation, pricing pages, product announcements, and published industry research reviewed in October 2026. We evaluated documented capabilities rather than conducting a standardized hands-on test of every platform. Features and pricing may change, and vendor documentation is not a substitute for hands-on testing. Product claims should be validated with the provider before purchase.<\/p>\n<p data-pm-slice=\"1 1 []\">BrandMentions is included in this comparison. We distinguish its media-monitoring capabilities from the direct AI-answer tracking features offered by dedicated GEO platforms. Product information and prices should be confirmed with the respective vendors.<\/p>\n<h2 data-pm-slice=\"1 1 []\">Best AI Visibility Tools in 2026: Quick Comparison<\/h2>\n<table style=\"width: 1019px;\">\n<thead>\n<tr>\n<th style=\"width: 55px;\" align=\"right\">Rank<\/th>\n<th style=\"width: 151px;\">Tool<\/th>\n<th style=\"width: 64px;\" align=\"right\">Score<\/th>\n<th style=\"width: 121px;\">Best fit<\/th>\n<th style=\"width: 111px;\">Engines or channels<\/th>\n<th style=\"width: 92px;\" align=\"right\">Starting price<\/th>\n<th style=\"width: 67px;\">Free trial<\/th>\n<th style=\"width: 113px;\">Earned-media attribution<\/th>\n<th style=\"width: 109px;\">Sentiment<\/th>\n<th style=\"width: 136px;\">Alerts<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"width: 55px;\" align=\"right\">1<\/td>\n<td style=\"width: 151px;\">Profound<\/td>\n<td style=\"width: 64px;\" align=\"right\">90<\/td>\n<td style=\"width: 121px;\">Enterprise depth and execution<\/td>\n<td style=\"width: 111px;\">Up to 9 to 10 engines<\/td>\n<td style=\"width: 92px;\" align=\"right\">Trial, then custom<\/td>\n<td style=\"width: 67px;\">7-day trial<\/td>\n<td style=\"width: 113px;\">Strong<\/td>\n<td style=\"width: 109px;\">Yes<\/td>\n<td style=\"width: 136px;\">Limited<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 55px;\" align=\"right\">2<\/td>\n<td style=\"width: 151px;\">Muck Rack Generative Pulse<\/td>\n<td style=\"width: 64px;\" align=\"right\">89<\/td>\n<td style=\"width: 121px;\">PR teams proving earned-media impact<\/td>\n<td style=\"width: 111px;\">ChatGPT, Claude, Gemini<\/td>\n<td style=\"width: 92px;\" align=\"right\">Custom<\/td>\n<td style=\"width: 67px;\">Demo<\/td>\n<td style=\"width: 113px;\">Excellent (journalist level)<\/td>\n<td style=\"width: 109px;\">Yes<\/td>\n<td style=\"width: 136px;\">Yes<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 55px;\" align=\"right\">3<\/td>\n<td style=\"width: 151px;\">BrandMentions<\/td>\n<td style=\"width: 64px;\" align=\"right\">87<\/td>\n<td style=\"width: 121px;\">Upstream media intelligence<\/td>\n<td style=\"width: 111px;\">News, blogs, social, forums, reviews, web<\/td>\n<td style=\"width: 92px;\" align=\"right\">$99\/mo<\/td>\n<td style=\"width: 67px;\">7 days<\/td>\n<td style=\"width: 113px;\">Excellent (source monitoring level)<\/td>\n<td style=\"width: 109px;\">Yes<\/td>\n<td style=\"width: 136px;\">Real-time<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 55px;\" align=\"right\">4<\/td>\n<td style=\"width: 151px;\">Peec AI<\/td>\n<td style=\"width: 64px;\" align=\"right\">84<\/td>\n<td style=\"width: 121px;\">Competitive share of voice<\/td>\n<td style=\"width: 111px;\">3 on Starter, 6 on Pro+, Claude add-on<\/td>\n<td style=\"width: 92px;\" align=\"right\">$95\/mo<\/td>\n<td style=\"width: 67px;\">7 days<\/td>\n<td style=\"width: 113px;\">Strong<\/td>\n<td style=\"width: 109px;\">Yes<\/td>\n<td style=\"width: 136px;\">Daily<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 55px;\" align=\"right\">5<\/td>\n<td style=\"width: 151px;\">Otterly<\/td>\n<td style=\"width: 64px;\" align=\"right\">81<\/td>\n<td style=\"width: 121px;\">Budget-first tracking<\/td>\n<td style=\"width: 111px;\">4 core, 3 as add-ons<\/td>\n<td style=\"width: 92px;\" align=\"right\">$29\/mo<\/td>\n<td style=\"width: 67px;\">7 days<\/td>\n<td style=\"width: 113px;\">Medium<\/td>\n<td style=\"width: 109px;\">Yes<\/td>\n<td style=\"width: 136px;\">Trend flags<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 55px;\" align=\"right\">6<\/td>\n<td style=\"width: 151px;\">AthenaHQ<\/td>\n<td style=\"width: 64px;\" align=\"right\">80<\/td>\n<td style=\"width: 121px;\">Free testing, credit flexibility<\/td>\n<td style=\"width: 111px;\">9+ models<\/td>\n<td style=\"width: 92px;\" align=\"right\">Free, then $295\/mo<\/td>\n<td style=\"width: 67px;\">Free tier<\/td>\n<td style=\"width: 113px;\">Medium<\/td>\n<td style=\"width: 109px;\">Strong<\/td>\n<td style=\"width: 136px;\">Yes<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 55px;\" align=\"right\">7<\/td>\n<td style=\"width: 151px;\">Scrunch<\/td>\n<td style=\"width: 64px;\" align=\"right\">79<\/td>\n<td style=\"width: 121px;\">Persona and journey depth<\/td>\n<td style=\"width: 111px;\">4 core, 9 on Enterprise<\/td>\n<td style=\"width: 92px;\" align=\"right\">$250\/mo<\/td>\n<td style=\"width: 67px;\">7 days<\/td>\n<td style=\"width: 113px;\">Strong<\/td>\n<td style=\"width: 109px;\">Yes<\/td>\n<td style=\"width: 136px;\">API\/Enterprise<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 55px;\" align=\"right\">8<\/td>\n<td style=\"width: 151px;\">Ahrefs Brand Radar<\/td>\n<td style=\"width: 64px;\" align=\"right\">77<\/td>\n<td style=\"width: 121px;\">Large pre-built prompt index<\/td>\n<td style=\"width: 111px;\">AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini, Copilot, Claude<\/td>\n<td style=\"width: 92px;\" align=\"right\">$199\/mo<\/td>\n<td style=\"width: 67px;\">None<\/td>\n<td style=\"width: 113px;\">Partial<\/td>\n<td style=\"width: 109px;\">No<\/td>\n<td style=\"width: 136px;\">None<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 55px;\" align=\"right\">9<\/td>\n<td style=\"width: 151px;\">Semrush AI Visibility Toolkit<\/td>\n<td style=\"width: 64px;\" align=\"right\">76<\/td>\n<td style=\"width: 121px;\">Teams already in Semrush<\/td>\n<td style=\"width: 111px;\">AI Overviews, AI Mode, ChatGPT, Gemini, Perplexity<\/td>\n<td style=\"width: 92px;\" align=\"right\">$99\/mo per domain<\/td>\n<td style=\"width: 67px;\">None<\/td>\n<td style=\"width: 113px;\">Partial<\/td>\n<td style=\"width: 109px;\">Yes (3-way)<\/td>\n<td style=\"width: 136px;\">Daily tracking<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3 id=\"3-profound-best-for-enterprise-depth-and-execution\">1. Profound, Best for Enterprise Depth and Execution<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-6203\" src=\"https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Profound.png\" alt=\"screenshot of Profound\" width=\"1374\" height=\"681\" srcset=\"https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Profound.png 1374w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Profound-300x149.png 300w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Profound-1024x508.png 1024w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Profound-768x381.png 768w\" sizes=\"auto, (max-width: 767px) 89vw, (max-width: 1000px) 54vw, (max-width: 1071px) 543px, 580px\" \/><\/p>\n<p><a href=\"https:\/\/www.tryprofound.com\/\" target=\"_blank\" rel=\"nofollow noopener\">Profound<\/a> is the most-funded platform in the category, having raised a <a href=\"https:\/\/www.tryprofound.com\/newsroom\/profound-raises-usd180m-series-d-at-usd1-8b-valuation-to-build-the-ai-platform-for-marketing-teams\" target=\"_blank\" rel=\"nofollow noopener\">$180M Series D at a $1.8B valuation<\/a> in September 2026. It is built for large brands running a structured program with analyst support.<\/p>\n<table>\n<thead>\n<tr>\n<th>Plan<\/th>\n<th>Price<\/th>\n<th>What you get<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Trial<\/td>\n<td>Free<\/td>\n<td>50 prompts daily for 7 days across ChatGPT, Gemini, Google AI Overviews<\/td>\n<\/tr>\n<tr>\n<td>Enterprise<\/td>\n<td>Custom<\/td>\n<td>Up to 9 to 10 engines, SSO\/SAML, SOC 2, tailored prompt tracking, AI Marketer agents<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4 id=\"what-it-does-best\">What It Does Best<\/h4>\n<p>Depth. It identifies which sources AI cited, which topics users ask about, and whether GPTBot and PerplexityBot are crawling your site. Its AI Marketer agents, which rewrite decaying pages and stage them in your CMS, are unique among the tools here.<\/p>\n<h4 id=\"where-it-falls-short\">Where It Falls Short<\/h4>\n<p>The trial is a snapshot, not a trend line; seven days on three engines will not show month-over-month volatility. The full product sits behind custom Enterprise pricing, which puts it out of reach for most small comms teams.<\/p>\n<h4 id=\"comms-team-fit\">Comms-Team Fit<\/h4>\n<p>Strong for enterprises with analyst resources and board-level reporting. The source-influence data proves which publications move AI answers. The agent layer matters more to content teams than to pure comms.<\/p>\n<h4 id=\"the-non-obvious-insight\">The Non-Obvious Insight<\/h4>\n<p>Profound removed its self-serve $99 Starter and $399 Growth brand plans in September 2026, around its Series D. Those figures still circulate across the web as current brand prices, but they are stale. Check the date on anything you read about Profound pricing before you quote it internally.<\/p>\n<h4 id=\"pricing-and-limits\">Pricing and Limits<\/h4>\n<p>Current brand path is the free trial plus custom Enterprise. Enterprise adds SSO\/SAML, SOC 2 compliance, and the full engine set. No fixed public price.<\/p>\n<h4 id=\"ideal-fit\">Ideal Fit<\/h4>\n<p>Enterprise marketing and comms orgs with budget for a custom contract and the people to act on the data, not a three-person team testing the waters.<\/p>\n<hr \/>\n<h3 id=\"2-muck-rack-generative-pulse-best-for-linking-earned-media-to-ai-narratives\">2. Muck Rack Generative Pulse, Best for Linking Earned Media to AI Narratives<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-6204\" src=\"https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/muck-rack.png\" alt=\"screenshot of muck rack\" width=\"1805\" height=\"716\" srcset=\"https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/muck-rack.png 1805w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/muck-rack-300x119.png 300w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/muck-rack-1024x406.png 1024w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/muck-rack-768x305.png 768w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/muck-rack-1536x609.png 1536w\" sizes=\"auto, (max-width: 767px) 89vw, (max-width: 1000px) 54vw, (max-width: 1071px) 543px, 580px\" \/><\/p>\n<p><a href=\"https:\/\/muckrack.com\/\" target=\"_blank\" rel=\"nofollow noopener\">Muck Rack Generative Pulse<\/a> launched on July 30, 2025 as the first GEO tool built inside a PR platform. That placement changes what a citation can do for you.<\/p>\n<table>\n<thead>\n<tr>\n<th>Plan<\/th>\n<th>Price<\/th>\n<th>What you get<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Generative Pulse (in Muck Rack Premier)<\/td>\n<td>Custom<\/td>\n<td>Share of voice across LLMs, cited journalists and outlets, source URLs<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4 id=\"what-it-does-best\">What It Does Best<\/h4>\n<p>It closes the loop no other tool closes. You see an AI answer, identify the journalist whose coverage shaped it, and add that reporter to a media list from the same screen. That is the PR feedback loop the category promised.<\/p>\n<h4 id=\"where-it-falls-short\">Where It Falls Short<\/h4>\n<p>Three engines only: ChatGPT, Claude, and Gemini. If your buyers use Perplexity, Copilot, or Google AI surfaces, you need a second tracker. Pricing is custom and demo-led, so small teams cannot self-serve.<\/p>\n<h4 id=\"comms-team-fit\">Comms-Team Fit<\/h4>\n<p>The strongest here. Share of voice across AI, top-cited journalists and outlets, source URLs, and one-click brand descriptions all map directly to what a CCO wants to see.<\/p>\n<h4 id=\"the-non-obvious-insight\">The Non-Obvious Insight<\/h4>\n<p>The study behind the product found that 49% of citations for recent or time-sensitive queries come from journalistic content. Recency of coverage matters almost as much as authority, which means your pitch calendar should track the news cycle, not just the quarterly plan.<\/p>\n<h4 id=\"pricing-and-limits\">Pricing and Limits<\/h4>\n<p>No public price; Generative Pulse ships inside Muck Rack Premier, used by more than 5,000 companies. Budget conversations require a sales call.<\/p>\n<h4 id=\"ideal-fit\">Ideal Fit<\/h4>\n<p>PR and comms teams already running Muck Rack for media relations, who want AI visibility measured where their pitching and coverage data already live.<\/p>\n<h3 id=\"1-brandmentions-best-for-comms-teams-tracking-the-mentions-that-feed-ai\">3. BrandMentions, Best for PR &amp; Communications Teams Tracking the Mentions That Feed AI<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-6213\" src=\"https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/BrandMentionsMain-1.png\" alt=\"screenshot of BrandMentions\" width=\"1458\" height=\"649\" srcset=\"https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/BrandMentionsMain-1.png 1458w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/BrandMentionsMain-1-300x134.png 300w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/BrandMentionsMain-1-1024x456.png 1024w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/BrandMentionsMain-1-768x342.png 768w\" sizes=\"auto, (max-width: 767px) 89vw, (max-width: 1000px) 54vw, (max-width: 1071px) 543px, 580px\" \/><\/p>\n<p><a href=\"https:\/\/brandmentions.com\/\">BrandMentions<\/a> is the upstream layer. It does not run prompts against ChatGPT. It monitors the news, blogs, social networks, forums, and communities that become the citations, and alerts you when that coverage appears: daily on Starter, hourly on Pro and in real time on Expert.<\/p>\n<table>\n<thead>\n<tr>\n<th>Plan<\/th>\n<th>Price<\/th>\n<th>Keywords \/ mentions<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Starter<\/td>\n<td>$99\/mo (billed quarterly)<\/td>\n<td>5 keywords, 5,000 mentions, daily refresh<\/td>\n<\/tr>\n<tr>\n<td>Pro<\/td>\n<td>$299\/mo<\/td>\n<td>20 keywords, 30,000 mentions, hourly refresh<\/td>\n<\/tr>\n<tr>\n<td>Expert<\/td>\n<td>$499\/mo<\/td>\n<td>50 keywords, 75,000 mentions, real-time refresh<\/td>\n<\/tr>\n<tr>\n<td>Enterprise<\/td>\n<td>From $1,299\/mo<\/td>\n<td>Custom volume, API, white-label reporting<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4 id=\"what-it-does-best\">What It Does Best<\/h4>\n<p data-pm-slice=\"1 1 []\">BrandMentions helps communications teams detect relevant articles, discussions, and brand mentions as they appear. These sources may later be referenced by AI search engines, although monitoring a mention does not establish that it will become an AI citation.<\/p>\n<p>When a journalist or a forum thread describes your brand, you know within a day on Starter, within the hour on Pro, or in real time on Expert, rather than after the next model update. The <a href=\"https:\/\/brandmentions.com\/blog\/brand-mentions-ai-visibility\/\">mentions feeding AI<\/a> workflow is the missing half of most GEO programs.<\/p>\n<h4 id=\"where-it-falls-short\">Where It Falls Short<\/h4>\n<p>No prompt-level tracking. If leadership asks for \"our position in ChatGPT across these 25 prompts,\" this is not the tool for that specific answer. Pair it with a prompt dashboard for the downstream score.<\/p>\n<h4 id=\"comms-team-fit\">Comms-Team Fit<\/h4>\n<p>Purpose-built for it. Real-time alerts, share of voice, sentiment and emotion over time, influencer discovery, white-label reports, and AI Digests that explain why a spike matters. The reporting is board-ready without extra assembly.<\/p>\n<h4 id=\"the-non-obvious-insight\">The Non-Obvious Insight<\/h4>\n<p>Custom sentiment rules, added in late 2025, let you define what counts as positive or negative for your industry and test the rule on real mentions before applying it. Generic sentiment models routinely misread industry jargon; this one lets you correct the misread yourself, which matters in regulated or technical categories.<\/p>\n<h4 id=\"pricing-and-limits\">Pricing and Limits<\/h4>\n<p>Sentiment runs across 100+ languages with emotion detection, backed by official counts of 32B+ mentions delivered and 125M+ monitored sources, with up to 10 years of historical data and no overage fees. A 7-day trial covers procurement validation.<\/p>\n<h4 id=\"ideal-fit\">Ideal Fit<\/h4>\n<p>In-house comms and PR teams, brand managers, and agencies that want to own the earned-media and reputation layer feeding AI, with real-time alerting rather than a weekly refresh.<\/p>\n<hr \/>\n<h3 id=\"4-peec-ai-best-for-competitive-share-of-voice-on-a-mid-market-budget\">4. Peec AI, Best for Competitive Share of Voice on a Mid-Market Budget<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-6205\" src=\"https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Peec-AI.png\" alt=\"Screenshot of Peec AI\" width=\"1581\" height=\"565\" srcset=\"https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Peec-AI.png 1581w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Peec-AI-300x107.png 300w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Peec-AI-1024x366.png 1024w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Peec-AI-768x274.png 768w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Peec-AI-1536x549.png 1536w\" sizes=\"auto, (max-width: 767px) 89vw, (max-width: 1000px) 54vw, (max-width: 1071px) 543px, 580px\" \/><\/p>\n<p><a href=\"https:\/\/peec.ai\/\" target=\"_blank\" rel=\"nofollow noopener\">Peec AI<\/a> is the cleanest mid-market answer to one question: how am I doing in ChatGPT, Gemini, and Google AI Mode against my competitors, on the same prompts, at the same time.<\/p>\n<table>\n<thead>\n<tr>\n<th>Plan<\/th>\n<th>Price<\/th>\n<th>Prompts \/ projects<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Starter<\/td>\n<td>$95\/mo<\/td>\n<td>50 prompts, choose 3 models, 1 project<\/td>\n<\/tr>\n<tr>\n<td>Pro<\/td>\n<td>$245\/mo<\/td>\n<td>150 prompts, 2 projects<\/td>\n<\/tr>\n<tr>\n<td>Advanced<\/td>\n<td>$495\/mo<\/td>\n<td>350 prompts, 5 projects<\/td>\n<\/tr>\n<tr>\n<td>Enterprise<\/td>\n<td>Custom<\/td>\n<td>Up to around 13 models, SSO, API<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4 id=\"what-it-does-best\">What It Does Best<\/h4>\n<p>Side-by-side competitive comparison. Place your brand against three or four rivals and see who appears more often, who ranks higher, and what sentiment each answer carries. For quarterly competitive reviews, it is the most actionable view in its price class.<\/p>\n<h4 id=\"where-it-falls-short\">Where It Falls Short<\/h4>\n<p>Feature depth is narrower than Profound or Muck Rack. It measures and compares; it does not tell you which journalist to pitch or rewrite your pages for you.<\/p>\n<h4 id=\"comms-team-fit\">Comms-Team Fit<\/h4>\n<p>Good for marketing and comms teams needing share of voice and sentiment against competitors without enterprise pricing. Every plan includes unlimited seats, so the whole team and the agency can log in.<\/p>\n<h4 id=\"the-non-obvious-insight\">The Non-Obvious Insight<\/h4>\n<p>The three-model cap on the Starter plan is the real cost, not the sticker price. A team that wants ChatGPT, Gemini, Perplexity, and Copilot has to move up to Pro at $245, and Claude is a paid add-on on every plan.<\/p>\n<h4 id=\"pricing-and-limits\">Pricing and Limits<\/h4>\n<p>Starter covers 3 engines of your choice. Pro and above include six default engines (ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini, Copilot), with Claude, Grok, and DeepSeek as add-ons<\/p>\n<h4 id=\"ideal-fit\">Ideal Fit<\/h4>\n<p>Lean in-house teams and agencies that want fast, clean competitive answers with unlimited seats and no enterprise onboarding call.<\/p>\n<hr \/>\n<h3 id=\"5-otterly-best-for-budget-first-geo-tracking\">5. Otterly, Best for Budget-First GEO Tracking<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-6206\" src=\"https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Otterly.png\" alt=\"Screenshot of Otterly\" width=\"1573\" height=\"758\" srcset=\"https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Otterly.png 1573w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Otterly-300x145.png 300w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Otterly-1024x493.png 1024w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Otterly-768x370.png 768w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Otterly-1536x740.png 1536w\" sizes=\"auto, (max-width: 767px) 89vw, (max-width: 1000px) 54vw, (max-width: 1071px) 543px, 580px\" \/><\/p>\n<p><a href=\"https:\/\/otterly.ai\/\" target=\"_blank\" rel=\"nofollow noopener\">Otterly<\/a> is the cheapest credible starting point in the category, a marketer-built tracker and a named Gartner Cool Vendor.<\/p>\n<table>\n<thead>\n<tr>\n<th>Plan<\/th>\n<th>Price<\/th>\n<th>Prompts<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Lite<\/td>\n<td>$29\/mo<\/td>\n<td>15 prompts<\/td>\n<\/tr>\n<tr>\n<td>Standard<\/td>\n<td>$189\/mo<\/td>\n<td>100 prompts<\/td>\n<\/tr>\n<tr>\n<td>Premium<\/td>\n<td>$489\/mo<\/td>\n<td>400 prompts<\/td>\n<\/tr>\n<tr>\n<td>Custom<\/td>\n<td>From $1,000\/mo<\/td>\n<td>Custom volume<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4 id=\"what-it-does-best\">What It Does Best<\/h4>\n<p>Accessibility without emptiness. Even the $29 Lite plan includes the Brand Visibility Index, domain ranking, link-citation analysis, and a GEO audit. The Recommendations feature turns raw visibility data into specific per-prompt actions.<\/p>\n<h4 id=\"where-it-falls-short\">Where It Falls Short<\/h4>\n<p>Depth. Competitive analysis is basic next to Peec AI, and there is no journalist or outlet attribution. Google AI Mode, Gemini, and Claude are all paid add-ons on top of the base plan.<\/p>\n<h4 id=\"comms-team-fit\">Comms-Team Fit<\/h4>\n<p>Strong for small teams and agencies establishing a baseline, with unlimited seats on every plan. The annotations feature, added in October 2026, lets you mark a PR push or a page launch on the visibility timeline, which is a practical way to correlate comms work with AI movement.<\/p>\n<h4 id=\"the-non-obvious-insight\">The Non-Obvious Insight<\/h4>\n<p>Otterly retired its \"Brand Mention Count\" metric in October 2026 because the raw count moved with your prompt set and date range rather than with real visibility. That is an unusually honest data-modeling decision. It replaced the number with Brand Coverage, Average Brand Position, and Share of Voice, which is exactly the kind of vendor behavior you want to reward.<\/p>\n<h4 id=\"pricing-and-limits\">Pricing and Limits<\/h4>\n<p>Core engines are ChatGPT, Google AI Overviews, Perplexity, and Copilot, with daily tracking on every plan. Google AI Mode and Gemini cost extra ($9\/mo each on Lite, $59 on Standard, $149 on Premium), and Claude costs $29, $109 or $439 depending on plan. Covering all seven engines on Standard takes the real price from $189 to $416 a month. Lite cannot buy extra prompts, so teams that need more than 15 have to move up to Standard.<\/p>\n<h4 id=\"ideal-fit\">Ideal Fit<\/h4>\n<p>Small to mid-size teams and solo marketers who want the cheapest real ongoing monitoring across core engines, without an action layer.<\/p>\n<hr \/>\n<h3 id=\"6-athenahq-best-for-testing-before-you-spend\">6. AthenaHQ, Best for Testing Before You Spend<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-6207\" src=\"https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/AthenaHQ.png\" alt=\"Screenshot of AthenaHQ\" width=\"1577\" height=\"677\" srcset=\"https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/AthenaHQ.png 1577w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/AthenaHQ-300x129.png 300w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/AthenaHQ-1024x440.png 1024w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/AthenaHQ-768x330.png 768w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/AthenaHQ-1536x659.png 1536w\" sizes=\"auto, (max-width: 767px) 89vw, (max-width: 1000px) 54vw, (max-width: 1071px) 543px, 580px\" \/><\/p>\n<p><a href=\"https:\/\/athenahq.ai\/\" target=\"_blank\" rel=\"nofollow noopener\">AthenaHQ<\/a> is a GEO and AEO platform with an unusually generous free tier and a credit-based model, where one credit equals roughly one AI response.<\/p>\n<table>\n<thead>\n<tr>\n<th>Plan<\/th>\n<th>Price<\/th>\n<th>Credits<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Essential<\/td>\n<td>Free<\/td>\n<td>300 credits\/mo, unlimited seats<\/td>\n<\/tr>\n<tr>\n<td>Starter<\/td>\n<td>$295\/mo<\/td>\n<td>3,600 credits, 9+ models<\/td>\n<\/tr>\n<tr>\n<td>Enterprise<\/td>\n<td>Custom<\/td>\n<td>Unlimited credits, SSO, dedicated support<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4 id=\"what-it-does-best\">What It Does Best<\/h4>\n<p>The free Essential tier is genuinely free, not a trial, which makes it the lowest-risk way to see real tracking data across multiple engines before you spend anything.<\/p>\n<h4 id=\"where-it-falls-short\">Where It Falls Short<\/h4>\n<p>The credit math gets complicated fast, and premium models burn the allowance quicker. At $295, Starter is steep for small businesses next to the budget trackers, and the product leans toward SEO and content use cases more than earned-media intelligence.<\/p>\n<h4 id=\"comms-team-fit\">Comms-Team Fit<\/h4>\n<p>Unlimited seats on every tier, including the free one, suit teams that want wide internal visibility. GA4 attribution ties AI visibility to measurable outcomes, which helps when you justify budget upward.<\/p>\n<h4 id=\"the-non-obvious-insight\">The Non-Obvious Insight<\/h4>\n<p>On Starter, 3,600 credits sound generous until you model them. At one credit per AI response, tracking 40 prompts across 5 engines uses 200 credits per run, so you get about 18 runs a month: every other day, not daily. Tracking 900 responses per run drops you to 4 runs a month, or weekly checks. If you need daily tracking at volume, you will burn through credits faster than the headline implies.<\/p>\n<h4 id=\"pricing-and-limits\">Pricing and Limits<\/h4>\n<p>Starter covers ChatGPT, Perplexity, Google AI Overviews and AI Mode, Gemini, Claude, Copilot, Grok, and more, with API access and extra credits as paid add-ons.<\/p>\n<h4 id=\"ideal-fit\">Ideal Fit<\/h4>\n<p>Mid-market teams that want to test real tracking at zero cost first, then scale into an action layer with credit-based flexibility.<\/p>\n<hr \/>\n<h3 id=\"7-scrunch-best-for-persona-and-customer-journey-depth\">7. Scrunch, Best for Persona and Customer-Journey Depth<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-6209\" src=\"https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Scrunch.png\" alt=\"screenshot from Scrunch\" width=\"1379\" height=\"626\" srcset=\"https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Scrunch.png 1379w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Scrunch-300x136.png 300w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Scrunch-1024x465.png 1024w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Scrunch-768x349.png 768w\" sizes=\"auto, (max-width: 767px) 89vw, (max-width: 1000px) 54vw, (max-width: 1071px) 543px, 580px\" \/><\/p>\n<p><a href=\"https:\/\/scrunch.com\/\" target=\"_blank\" rel=\"nofollow noopener\">Scrunch<\/a>, backed by Sitecore, approaches visibility from a customer-experience angle. It does not just ask what AI says about your brand. It asks what AI says to a specific persona, at a specific funnel stage, in a specific country and language.<\/p>\n<table>\n<thead>\n<tr>\n<th>Plan<\/th>\n<th>Price<\/th>\n<th>What you get<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Core<\/td>\n<td>$250\/mo<\/td>\n<td>125 prompts, 5,000 responses\/mo, 5 audits, 4 engines, 5 seats<\/td>\n<\/tr>\n<tr>\n<td>Enterprise<\/td>\n<td>Custom<\/td>\n<td>9 engines incl. Claude, Gemini, Meta AI, AI Mode, Grok; API, SSO<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4 id=\"what-it-does-best\">What It Does Best<\/h4>\n<p>Personas and funnel stages. You can monitor how an enterprise-CTO persona gets a different answer than a startup-founder persona for the same prompt, which is how AI search actually behaves.<\/p>\n<h4 id=\"where-it-falls-short\">Where It Falls Short<\/h4>\n<p>Price and volume. Core includes 5,000 responses a month, which sounds large until you multiply 125 prompts by four platforms by several personas and countries. Claude, Gemini, and AI Mode require Enterprise.<\/p>\n<h4 id=\"comms-team-fit\">Comms-Team Fit<\/h4>\n<p>Excellent for brands with segmented audiences. If your messaging differs by buyer profile, Scrunch is the only tool here that measures whether those profiles actually receive different AI answers.<\/p>\n<h4 id=\"the-non-obvious-insight\">The Non-Obvious Insight<\/h4>\n<p>The response budget is the hidden constraint, because each prompt expands into variants by platform, persona, geography, and language. Scrunch is also candid in its help center that AI visibility data is probabilistic and directional, since no engine provides a native first-party prompt feed. One documented limit worth asking about: Grok no longer contributes citation data, though mentions, ranking, and sentiment still track.<\/p>\n<h4 id=\"pricing-and-limits\">Pricing and Limits<\/h4>\n<p>Core supports ChatGPT, Perplexity, Google AI Overviews, and Copilot; Enterprise unlocks the full nine-engine set, the full site audit, and API access for custom alerting.<\/p>\n<h4 id=\"ideal-fit\">Ideal Fit<\/h4>\n<p>Brands with segmented audiences where persona-level insight is the decision you need to make. If you only track branded prompts, a cheaper tool will serve you better.<\/p>\n<hr \/>\n<h3 id=\"8-ahrefs-brand-radar-best-for-a-large-pre-built-prompt-index\">8. Ahrefs Brand Radar, Best for a Large Pre-Built Prompt Index<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-6210\" src=\"https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Ahrefs-Radar.png\" alt=\"Screenshot of Ahrefs Radar\" width=\"1576\" height=\"642\" srcset=\"https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Ahrefs-Radar.png 1576w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Ahrefs-Radar-300x122.png 300w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Ahrefs-Radar-1024x417.png 1024w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Ahrefs-Radar-768x313.png 768w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Ahrefs-Radar-1536x626.png 1536w\" sizes=\"auto, (max-width: 767px) 89vw, (max-width: 1000px) 54vw, (max-width: 1071px) 543px, 580px\" \/><\/p>\n<p><a href=\"https:\/\/ahrefs.com\/brand-radar\" target=\"_blank\" rel=\"nofollow noopener\">Ahrefs Brand Radar<\/a> does not ask you to imagine what people might ask AI. It builds its index from more than 475+ million search-backed prompts, then lets you benchmark any brand against that index.<\/p>\n<table>\n<thead>\n<tr>\n<th>Plan<\/th>\n<th>Price<\/th>\n<th>Checks<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Single platform index<\/td>\n<td>$199\/mo<\/td>\n<td>Index access, one platform<\/td>\n<\/tr>\n<tr>\n<td>All platforms<\/td>\n<td>$699\/mo<\/td>\n<td>2,500 custom prompt checks included<\/td>\n<\/tr>\n<tr>\n<td>Check tiers<\/td>\n<td>$50 \/ $100 \/ $250 per mo<\/td>\n<td>2,500 \/ 7,000 \/ 25,000 checks<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4 id=\"what-it-does-best\">What It Does Best<\/h4>\n<p>Scale and discovery. The AI Visibility Index maps how brands appear across millions of pre-collected responses with no setup, which is ideal for benchmarking and for finding topics you did not know AI was answering.<\/p>\n<h4 id=\"where-it-falls-short\">Where It Falls Short<\/h4>\n<p>No sentiment, no journalist attribution, no real-time alerts. The index re-tests on a monthly cadence over a 90-day reporting window, which makes it a trailing benchmark rather than a live monitor. Grok data is currently paused due to policy changes.<\/p>\n<h4 id=\"comms-team-fit\">Comms-Team Fit<\/h4>\n<p>Limited for comms on its own. It is built for data and SEO teams that want share of voice across a massive prompt universe. For sentiment or journalist mapping, pair it with a media-intelligence layer.<\/p>\n<h4 id=\"the-non-obvious-insight\">The Non-Obvious Insight<\/h4>\n<p>Claude consumes 8 checks per update while every other engine costs 1, an 8x multiplier buried in the help-center fine print. If you track Claude across many prompts, your check allowance drains fast, so the headline price understates the real cost of Claude-heavy tracking.<\/p>\n<h4 id=\"pricing-and-limits\">Pricing and Limits<\/h4>\n<p>Covers AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini, Copilot. No standalone free trial; a small monthly check allowance is included on Ahrefs Lite and higher base plans.<\/p>\n<h4 id=\"ideal-fit\">Ideal Fit<\/h4>\n<p>Teams already committed to Ahrefs who want category-scale AI visibility discovery beside their existing SEO data.<\/p>\n<h3 id=\"9-semrush-ai-visibility-toolkit-best-for-existing-semrush-users\">9. Semrush AI Visibility Toolkit, Best for Existing Semrush Users<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-6211\" src=\"https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Semrush.png\" alt=\"Screenshot of Semrush\" width=\"1770\" height=\"677\" srcset=\"https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Semrush.png 1770w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Semrush-300x115.png 300w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Semrush-1024x392.png 1024w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Semrush-768x294.png 768w, https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/Semrush-1536x587.png 1536w\" sizes=\"auto, (max-width: 767px) 89vw, (max-width: 1000px) 54vw, (max-width: 1071px) 543px, 580px\" \/><\/p>\n<p><a href=\"https:\/\/www.semrush.com\/kb\/1493-ai-visibility-toolkit\" target=\"_blank\" rel=\"nofollow noopener\">Semrush AI Visibility Toolkit<\/a> is the bridge for teams already paying for Semrush, adding AI answer tracking and a technical crawl-access audit without leaving the suite your SEO team knows.<\/p>\n<table>\n<thead>\n<tr>\n<th>Plan<\/th>\n<th>Price<\/th>\n<th>What you get<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>AI Visibility Toolkit<\/td>\n<td>$99\/mo per domain<\/td>\n<td>25 tracked prompts, AI Search Checks for up to 100 pages<\/td>\n<\/tr>\n<tr>\n<td>Extra prompt packs<\/td>\n<td>$60\/mo<\/td>\n<td>Additional 50 prompts<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4 id=\"what-it-does-best\">What It Does Best<\/h4>\n<p>Integration and technical audit. The AI Search Health score checks whether eight AI crawlers can access your content, a genuinely useful layer most GEO tools ignore, and the AI Visibility Score gives a 0 to 100 benchmark across brands.<\/p>\n<h4 id=\"where-it-falls-short\">Where It Falls Short<\/h4>\n<p>Comms depth. There is no journalist or outlet attribution, sentiment is a simple three-way classification, and Brand Performance reports update weekly, so fast-moving reputation events will lag.<\/p>\n<h4 id=\"comms-team-fit\">Comms-Team Fit<\/h4>\n<p>Workable for a combined SEO and comms team that wants one subscription. A pure comms team would pay for SEO machinery it will not use.<\/p>\n<h4 id=\"the-non-obvious-insight\">The Non-Obvious Insight<\/h4>\n<p>There is no free trial, which makes it one of the only tools here you cannot test before paying. The standalone plan caps you at 25 tracked prompts, and the per-domain price is the trap at scale: an agency tracking ten client sites is looking at ten add-ons, so the \"cheap add-on\" framing falls apart quickly.<\/p>\n<h4 id=\"pricing-and-limits\">Pricing and Limits<\/h4>\n<p>Covers Google AI Overviews, AI Mode, ChatGPT, Gemini, and Perplexity, with 300 daily AI Analysis queries and 1,000 daily Prompt Research queries.<\/p>\n<h4 id=\"ideal-fit\">Ideal Fit<\/h4>\n<p>SEO-led organizations already standardized on Semrush that want AI visibility beside their keyword and competitive data.<\/p>\n<h2 id=\"what-is-geo-and-why-did-it-become-a-communications-problem\">What Is GEO, and Why Did It Become a Communications Problem?<\/h2>\n<p><img decoding=\"async\" src=\"https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/image_02_798073f9.webp\" alt=\"Earned media citation share driving GEO buying decisions for communications teams\" \/><\/p>\n<p><strong>GEO (Generative Engine Optimization) is the practice of making a brand visible, accurately described, and cited inside AI-generated answers from engines like ChatGPT, Gemini, Perplexity, Claude, Copilot, and Google AI Overviews or AI Mode.<\/strong> For a comms team, it is not about winning a keyword. It is about reputation, accuracy, and narrative control.<\/p>\n<p>The citation math is what moved this onto the PR desk. <a href=\"https:\/\/muckrack.com\/blog\/how-we-built-what-is-ai-reading\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Muck Rack's What Is AI Reading analysis<\/a>, covering more than 25 million links from ChatGPT, Claude, and Gemini responses across 17 industries, found earned media accounts for 84% of all AI citations, with journalism alone at 27%. Paid and advertorial content accounts for 0.3%. Across the study's editions since July 2025, the earned-media share has held roughly between 82% and 89%.<\/p>\n<p data-pm-slice=\"1 1 []\">SEO and GEO overlap, but they measure different outcomes. SEO focuses on making content discoverable and competitive in traditional search results. Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) focus on whether a brand or source is represented accurately and usefully in AI-generated answers.<\/p>\n<p>Both benefit from accessible, authoritative, well-structured content.<\/p>\n<blockquote><p>For communications teams, GEO also introduces a distinct responsibility: understanding how news coverage, third-party analysis, and public conversations contribute to brand narratives across AI platforms.<\/p><\/blockquote>\n<p>Your site matters, but less than teams assume. Search Engine Land's analysis of commercial-intent prompts found that when a buyer is close to spending money, owned pages make up only a small share of the sources AI cites. The model treats the seller as the least neutral voice in the room.<\/p>\n<h2 id=\"how-do-ai-search-engines-recommend-brands\">How Do AI Search Engines Recommend Brands?<\/h2>\n<p>The engines do not read the web the same way, and that changes your strategy. The same Muck Rack study shows ChatGPT cites a source in 96% of responses but averages only five citations each, Gemini cites in 82% of responses and averages eight, and Claude is the most selective, citing in just 55% of responses but averaging 13 sources when it does.<\/p>\n<p>Their favorite sources differ too. ChatGPT leans heavily on Wikipedia, Claude on research repositories like PubMed Central, and Gemini on Reddit and community threads. Your buyers are not all asking the same engine, so a single blended visibility score can hide the one engine where your reputation problem is forming. Understanding <a href=\"https:\/\/brandmentions.com\/blog\/how-ai-search-engines-recommend-brands\/\">how AI recommends brands<\/a> per engine should sit in your briefing, not as a footnote.<\/p>\n<p>That community-source weighting is also <a href=\"https:\/\/brandmentions.com\/blog\/why-ai-cites-reddit\/\">why AI cites Reddit<\/a> and niche forums far more often than polished brand pages, especially for comparison and time-sensitive queries. If you only watch finished AI answers, you see the result after it has already hardened. If you watch the forum thread and the trade story as they publish, you get the earlier warning.<\/p>\n<h2 id=\"monitoring-vs-execution-vs-media-intelligence-which-do-you-actually-need\">Monitoring vs Execution vs Media Intelligence: Which Do You Actually Need?<\/h2>\n<p><img decoding=\"async\" src=\"https:\/\/brandmentions.com\/blog\/wp-content\/uploads\/2026\/10\/image_03_a1ead04c.webp\" alt=\"Two-tool GEO framework connecting media intelligence to AI answer tracking\" \/><\/p>\n<p>The biggest money mistake in this category is treating three different jobs as one. They are not interchangeable, and most comms teams need at least two of them.<\/p>\n<p><strong>Monitoring<\/strong> tools answer one question: where does your brand appear in AI answers? Otterly, Peec AI, Ahrefs Brand Radar, and Semrush live here. They measure. They do not create the coverage that changes the answer.<\/p>\n<p><strong>Execution<\/strong> tools add an action layer. Profound's AI Marketer agents can rewrite pages suffering citation decay, and AthenaHQ and Scrunch generate recommendations and audits. This layer only pays off if your team has the authority and bandwidth to act.<\/p>\n<p><strong>Media intelligence<\/strong> tools watch the earned coverage that becomes the citation. This is the <a href=\"https:\/\/brandmentions.com\/blog\/media-monitoring\/\">media intelligence category<\/a> most GEO buyers skip. BrandMentions, Muck Rack, Meltwater, and similar platforms track the news, blogs, social threads, and forum discussions AI engines read. The difference between <a href=\"https:\/\/brandmentions.com\/blog\/earned-vs-paid-vs-organic-media\/\">earned media explained<\/a> and owned content is the entire reason this category exists for comms.<\/p>\n<blockquote><p>Buy the pair, not the replacement. A GEO dashboard tells you what AI said. A media-intelligence layer tells you which coverage and which outlets put it there.<\/p><\/blockquote>\n<p><strong>The Two-Tool Rule: if you own a GEO dashboard but no media-intelligence layer, you can watch the score move and still not know why.<\/strong><\/p>\n<h2 data-pm-slice=\"1 1 []\">How to Measure the Impact of Earned Media on AI Visibility<\/h2>\n<p>AI visibility monitoring and media monitoring provide different datasets. Combining them can help PR teams investigate whether new earned coverage coincides with changes in how AI engines describe or recommend their brand.<\/p>\n<p>A practical workflow has five steps.<\/p>\n<h3>1. Choose the AI questions that matter to your audience<\/h3>\n<p>Start with 10\u201320 prompts based on real buyer, journalist, or stakeholder questions. Include unbranded category recommendations, competitor comparisons, and questions about your organization's reputation.<\/p>\n<p>For example:<\/p>\n<ul>\n<li>Which companies offer social media monitoring for PR teams?<\/li>\n<li>What are the best brand monitoring tools for agencies?<\/li>\n<li>What are the best alternatives to BrandMentions?<\/li>\n<li>Which media monitoring platforms help track brand reputation?<\/li>\n<\/ul>\n<h3>2. Establish a baseline of AI-generated answers<\/h3>\n<p>Use a dedicated AI visibility tracker to record brand inclusion, cited URLs, competitor mentions, and answer framing across relevant AI engines. Keep the tracked prompts, locations, and settings consistent so that results can be compared over time.<\/p>\n<h3>3. Monitor new coverage and brand mentions<\/h3>\n<p>Use a media-monitoring platform such as BrandMentions to identify articles, industry discussions, reviews, and other public mentions associated with the tracked topics.<\/p>\n<p>Record publication dates, source URLs, sentiment, and key claims.<\/p>\n<h3>4. Compare citations with the monitored sources<\/h3>\n<p>Review whether the publications appearing in your media-monitoring data are also cited in the tracked AI responses.<\/p>\n<p>Distinguish between three outcomes:<\/p>\n<ul>\n<li>A monitored article is cited directly in an AI answer.<\/li>\n<li>A brand appears in an AI answer without a corresponding citation to that article.<\/li>\n<li>An article receives coverage but does not appear in the sampled AI answers.<\/li>\n<\/ul>\n<p>Only the first outcome establishes direct citation overlap. None, by itself, proves that a media placement caused the AI response.<\/p>\n<h3>5. Report the changes and investigate patterns<\/h3>\n<p>Build a report containing brand inclusion rate, competitor inclusion, citation sources, sentiment or narrative changes, and newly published coverage.<\/p>\n<p>Repeat the analysis over time, using the same prompts and measurement settings. The goal is to identify useful patterns and investigate possible connections between earned-media activity and AI visibility, not to claim causation from a single citation.<\/p>\n<h2 id=\"can-ai-visibility-tools-fix-accuracy-and-reputation-problems\">Can AI Visibility Tools Fix Accuracy and Reputation Problems?<\/h2>\n<p>Partly, and only if you pick the right layer. Prompt dashboards tell you what AI said this week. Most will not alert you when the description is simply false.<\/p>\n<p>Accuracy work happens upstream. When an outlet publishes something wrong about your brand, that claim becomes retrieval and training material. Pairing a prompt tracker with <a href=\"https:\/\/brandmentions.com\/blog\/ai-wrong-information-about-brand\/\">AI accuracy monitoring<\/a> on the source layer lets you catch the original mention early, before it compounds into the model's default answer. That early catch is the cheapest correction you will ever make.<\/p>\n<blockquote>\n<p data-pm-slice=\"1 1 []\">Track named brand mentions and citations as separate metrics.<\/p>\n<\/blockquote>\n<p data-pm-slice=\"1 1 []\">An AI response can mention a brand without showing a source, and it can cite a company's content without naming the company in its recommendation. Neither metric alone provides a complete picture of brand visibility.<\/p>\n<blockquote><p>The Ghost-Citation Trap: measure named mentions, not just linked citations, or you will celebrate placements your buyers never actually saw.<\/p><\/blockquote>\n<hr \/>\n<h2 id=\"honorable-mentions-seven-more-tools-worth-knowing\">Honorable Mentions: Seven More Tools Worth Knowing<\/h2>\n<p>These sit adjacent to the core category or publish too little verifiable data for a fair score, but they belong on your radar depending on your stack.<\/p>\n<ul>\n<li><strong>Meltwater<\/strong> and <strong>Cision<\/strong> are enterprise media-intelligence suites adding AI-answer measurement; strong if you already run global monitoring and PR distribution there.<\/li>\n<li><strong>Brandwatch<\/strong> adds generative AI visibility (via its Trajaan engine) to large-scale social and search intelligence across many markets.<\/li>\n<li><strong>Similarweb<\/strong> sizes the AI audience by showing referral traffic from AI assistants, rather than tracking prompt-level citations.<\/li>\n<li><strong>Brand24<\/strong> is a social and web listening platform with an AI Visibility add-on, useful for monitoring plus an early AI-answer view.<\/li>\n<li><strong>SE Ranking<\/strong> offers a check-based AI Search add-on where one check equals one prompt on one platform, a controlled, low-cost way to test.<\/li>\n<li><strong>Sprout Social<\/strong> is a social-first reputation layer, not a GEO tracker, but its listening and spike alerts catch social narratives that may later surface in AI answers.<\/li>\n<\/ul>\n<h2 id=\"how-to-choose-by-team-size-and-budget\">How to Choose by Team Size and Budget<\/h2>\n<p><strong>Match the tool to the decision it will change, not to the longest feature list. If you cannot name the decision its data will drive, you are buying a dashboard, not an insight. <\/strong><\/p>\n<p>Start with <a href=\"https:\/\/brandmentions.com\/blog\/ai-visibility-guide\/\">AI visibility fundamentals<\/a> before you shortlist, because the right stack depends on whether you are measuring discovery, reputation, attribution, or accuracy.<\/p>\n<p><strong>Solo marketer or small business, under $100 a month:<\/strong> start with Otterly Lite at $29 and run a <a href=\"https:\/\/brandmentions.com\/blog\/chatgpt-brand-visibility-audit\/\">ChatGPT visibility audit<\/a> on your five highest-stakes prompts. Add BrandMentions Starter at $99 for daily mention alerts, or test AthenaHQ's free tier first.<\/p>\n<p data-pm-slice=\"1 1 []\"><strong>Small PR team with a $200\u2013$600 monthly budget<\/strong><strong>:<\/strong> buy Peec AI Pro at $245 for competitive daily tracking, and pair it with BrandMentions Pro at $299 for the earned-media layer. That is the Two-Tool Rule for roughly $544 a month.<\/p>\n<p><strong>PR team already on Muck Rack:<\/strong> activate Generative Pulse first. You own the workflow, and a separate dashboard would duplicate it.<\/p>\n<p><strong>Enterprise with analyst resources:<\/strong> Profound for depth and execution, plus a media-intelligence layer for source monitoring. Budget for the analyst, not just the license.<\/p>\n<p><strong>Agency:<\/strong> Peec AI's credit-based agency plans with free pitch projects solve multi-client allocation without per-seat penalties. This is where the standard per-seat pricing model works against you, because most PR users only need occasional visibility checks.<\/p>\n<p><strong>Build versus buy:<\/strong> buy. Building your own tracker means scripting prompts across multiple APIs, handling rate limits, deduplicating responses, and absorbing constant model drift. That is a full-time engineering commitment. Spend the build budget on the earned coverage that actually changes the answers.<\/p>\n<h2 id=\"what-the-vendor-scores-cant-tell-you\">What the Vendor Scores Can't Tell You<\/h2>\n<p>Every vendor here reports visibility as a number. None of them fully controls the noise behind it. AI answers change between identical prompts run minutes apart, between model updates, between regions, and between logged-in states.<\/p>\n<p>Treat position scores, share of voice, and sentiment labels as directional. Treat citation source URLs, named mentions, and journalist attribution as the harder numbers. When you report upward, lead with the hard numbers and label the directional ones as directional.<\/p>\n<blockquote><p>Never send a single snapshot of an AI answer to leadership as a trend. AI visibility is a moving average, so run at least three checks across two weeks before you call anything a win or a loss.<\/p><\/blockquote>\n<p><strong>The One-Baseline Rule: lock one tool as your system of record, hold its methodology constant, and report the trend line, never the single-day figure.<\/strong> Switching tools every quarter resets your baseline and destroys the comparison.<\/p>\n<p>A few practical cautions most buyers skip:<\/p>\n<ul>\n<li><strong>Build your prompt universe from real questions.<\/strong> Pull it from stakeholder and journalist questions, analyst reports, support tickets, sales calls, Reddit threads, and competitor comparisons, not from a keyword tool. The prompt list defines the world the tool can see.<\/li>\n<li><strong>Mind data freshness by source type.<\/strong> A breaking news story, a Reddit thread, a review, and an owned help doc each enter AI answers on different timelines, so a quiet dashboard does not mean a quiet web.<\/li>\n<li><strong>Check Google AI Overviews and AI Mode limits.<\/strong> Answers vary by location, personalization, logged-in state, and SERP layout, and no vendor gets a first-party query feed, so treat that coverage as modeled, not total.<\/li>\n<li><strong>Have a correction workflow ready.<\/strong> When AI repeats a false claim, log the exact claim, the engine, the cited URL, the original public source, the correction owner, the outreach step, and a recheck date. Correction is a process, not a button.<\/li>\n<\/ul>\n<h3 id=\"the-governance-questions-to-ask-every-vendor\">The Governance Questions to Ask Every Vendor<\/h3>\n<p>For enterprise comms teams, the shortlist should turn on more than features. Ask each vendor, in writing:<\/p>\n<ul>\n<li><strong>Security:<\/strong> Do you offer SSO\/SAML, SOC 2 Type II, role-based access, audit logs, and controlled data export? Profound, for example, lists SSO\/SAML and SOC 2 on Enterprise; confirm the same for every finalist.<\/li>\n<li><strong>Compliance:<\/strong> What are your terms for automated querying of third-party AI systems, how long do you retain stored answers, and can you sign a GDPR or CCPA data-processing agreement? Media monitoring stores third-party content, so this is a real exposure, not a formality.<\/li>\n<li><strong>Cost model:<\/strong> Price the full stack across prompt count, engine count, geography, frequency, seats, credits or checks, add-ons, and overages. The entry price is rarely the running cost.<\/li>\n<li><strong>Business outcome:<\/strong> Which downstream metric will this move, branded search lift, referral traffic, sentiment improvement, crisis containment, or executive reputation? If the vendor cannot connect to one, you are buying a dashboard.<\/li>\n<\/ul>\n<h2 id=\"frequently-asked-questions\">Frequently Asked Questions<\/h2>\n<h3 data-pm-slice=\"1 1 []\">What is the difference between AI visibility monitoring and media monitoring?<\/h3>\n<p data-pm-slice=\"1 1 []\">AI visibility monitoring tracks how brands appear in AI-generated answers from platforms such as ChatGPT, Gemini, Perplexity, and Google AI search features. It measures outcomes such as brand inclusion, competitor mentions, citations, and answer sentiment.<\/p>\n<p>Media monitoring tracks external content about a brand, including news articles, websites, online discussions, and social mentions. It helps teams understand public coverage and identify relevant sources.<\/p>\n<p>For PR teams, AI visibility monitoring measures what AI engines say, while media monitoring measures what is being published across the broader information environment. The two approaches are complementary but not interchangeable.<\/p>\n<h3 id=\"which-geo-tool-is-best-for-pr-and-communications-teams\">Which GEO tool is best for PR and communications teams?<\/h3>\n<p>Profound scores highest overall for enterprise teams that need deep prompt-level analytics. For PR-specific work, Muck Rack Generative Pulse is the strongest choice when you need to link AI citations to journalists, and BrandMentions is the strongest for monitoring the news, blog and forum coverage that AI engines cite.<\/p>\n<h3 data-pm-slice=\"1 1 []\">How much do AI visibility tools cost?<\/h3>\n<p data-pm-slice=\"1 1 []\">AI visibility tools range from free to custom enterprise contracts. AthenaHQ has a free tier. Paid entry plans start at $29\/month (Otterly Lite), $95\/month (Peec AI Starter), $99\/month (Semrush, per domain; BrandMentions Starter, billed quarterly) and $250\/month (Scrunch Core). Profound and Muck Rack Generative Pulse are custom-priced.<\/p>\n<p>Some platforms price by prompts, others use credits or checks, and some include AI visibility functionality within larger SEO or PR subscriptions. Compare the total cost of your intended workload, not just the advertised entry price. Prices and included features should be verified directly with the vendor.<\/p>\n<h3 data-pm-slice=\"1 1 []\">Which AI visibility tool is best for a small PR team?<\/h3>\n<p>For a small PR team prioritizing direct AI-answer monitoring, a lower-cost prompt tracking platform such as Otterly may provide a practical starting point. Peec AI is another candidate when competitor comparisons are important.<\/p>\n<p>If the team's immediate responsibility is media coverage and reputation rather than prompt-level AI answers, BrandMentions better addresses that need. Start by identifying the reports or decisions the tool must support before comparing plans.<\/p>\n<h3 data-pm-slice=\"1 1 []\">Do AI visibility tools guarantee that my brand will appear in ChatGPT?<\/h3>\n<p data-pm-slice=\"1 1 []\">No. AI visibility monitoring tools measure sampled outputs and may provide recommendations for improvement, but they cannot guarantee that an AI engine will mention or recommend a particular brand.<\/p>\n<p>Results vary by the user's question, the platform, model behavior, context, and available information. Improvements in content, media coverage, and source accessibility may support discoverability, but they do not guarantee inclusion.<\/p>\n<h3 id=\"how-accurate-are-ai-visibility-scores\">How accurate are AI visibility scores?<\/h3>\n<p>AI visibility scores are directionally useful, not precise. They are built from sampled prompt runs, and AI answers vary between runs, regions, and model updates. Track position and share of voice as trends over several weeks using one consistent tool, and treat named mentions, citation source URLs, and journalist attribution as the more reliable numbers.<\/p>\n<h3 id=\"which-ai-engines-matter-most-to-track-in-2026\">Which AI engines matter most to track in 2026?<\/h3>\n<p>The AI engines that matter most to track in 2026 are the ones your buyers actually ask. For most US comms teams that means ChatGPT and Google AI Overviews and AI Mode for reach and commercial intent, with Perplexity, Gemini, Claude, and Copilot close behind by market. Do not blend them into one score, because the engine where your reputation problem is forming can hide inside an average.<\/p>\n<h3 id=\"should-comms-teams-build-or-buy-an-ai-visibility-tool\">Should communications teams build or buy an AI visibility tool?<\/h3>\n<p>Communications teams should buy, not build, an AI visibility tool. The engines change behavior constantly, and a home-built tracker decays the moment a model updates, on top of the API orchestration and maintenance burden. The better question is which category to buy: a media-intelligence platform for the earned-media layer you own, plus a prompt-tracker for the downstream scoreboard.<\/p>\n<h2>Conclusion: Which AI Visibility Tool Should PR Teams Choose?<\/h2>\n<p>The best AI visibility tool depends on what your communications team needs to understand and improve.<\/p>\n<p>Choose Muck Rack Generative Pulse if you want to connect AI citations with journalists, publications, and an established PR workflow. Consider Profound for enterprise AI search analytics, Peec AI for competitor comparisons, or Otterly if you're starting with a smaller monitoring budget.<\/p>\n<p>BrandMentions serves a complementary purpose: monitoring the public coverage, conversations, and reputation signals that may influence how a brand is represented online.<\/p>\n<p>For teams managing both AI visibility and earned-media reputation, combining a direct AI-answer tracker with a media-monitoring platform can provide a more complete picture than either system alone.<\/p>\n<p><strong>A practical next step:<\/strong> Select 10 questions your buyers or stakeholders might ask an AI assistant. Establish a baseline of brand mentions and cited sources in a direct AI visibility platform. Then monitor relevant news, web mentions, and discussions over the same period.<\/p>\n<p>Compare the two datasets to identify which publications are being cited, where your brand is absent, and which emerging narratives deserve attention.<\/p>\n<p><strong>Want to understand the earned-media side of AI visibility?<\/strong> Explore BrandMentions to monitor relevant brand coverage, competitor mentions, and public conversations, and connect those insights with your AI-answer tracking workflow.<\/p>\n<p><em>This article was last reviewed: October 15, 2026.\u00a0\u00a0<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Compare 9 GEO and AI visibility tools for PR and communications teams, including features, pricing, citation tracking, media monitoring, and key limitations.<\/p>\n","protected":false},"author":4,"featured_media":6196,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_ef_editorial_meta_date_first-draft-date":"","_ef_editorial_meta_paragraph_assignment":"","_ef_editorial_meta_checkbox_needs-photo":"","_ef_editorial_meta_number_word-count":"","footnotes":""},"categories":[224],"tags":[107,346,349],"class_list":["post-6199","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-visibility-seo","tag-ai-visibility","tag-geo","tag-geo-tools"],"acf":[],"_links":{"self":[{"href":"https:\/\/brandmentions.com\/blog\/wp-json\/wp\/v2\/posts\/6199","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/brandmentions.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/brandmentions.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/brandmentions.com\/blog\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/brandmentions.com\/blog\/wp-json\/wp\/v2\/comments?post=6199"}],"version-history":[{"count":16,"href":"https:\/\/brandmentions.com\/blog\/wp-json\/wp\/v2\/posts\/6199\/revisions"}],"predecessor-version":[{"id":6225,"href":"https:\/\/brandmentions.com\/blog\/wp-json\/wp\/v2\/posts\/6199\/revisions\/6225"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/brandmentions.com\/blog\/wp-json\/wp\/v2\/media\/6196"}],"wp:attachment":[{"href":"https:\/\/brandmentions.com\/blog\/wp-json\/wp\/v2\/media?parent=6199"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/brandmentions.com\/blog\/wp-json\/wp\/v2\/categories?post=6199"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/brandmentions.com\/blog\/wp-json\/wp\/v2\/tags?post=6199"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}