{ "sym": "Ge", "updated": "2026-08-06", "verdict": "The honest answer is a practice, not a product: structured, statistic-dense, dated content plus earned third-party mentions is what actually wins citations \u2014 the Princeton GEO benchmark showed up to +40% visibility, while Ahrefs' July 2026 crawl data killed the favorite shortcut (97% of llms.txt files never get read). Among trackers that tell you whether it's working, Profound is the enterprise pick \u2014 $96M Series C at $1B (Feb 2026), agent analytics at the CDN edge. Peec wins mid-market and agencies on price-performance; Ahrefs Brand Radar wins when you want 476M real user prompts inside a suite you already pay; Semrush AI Toolkit when procurement prefers the Adobe-backed incumbent. Otterly is the $29 on-ramp \u2014 start there before you spend $399.", "top5": [ { "rank": 1, "name": "Citation-worthy structured content", "maker": "practice \u2014 no vendor", "url": "https://arxiv.org/abs/2311.09735", "docs": "https://ahrefs.com/blog/ai-search-strategy/", "pricing": "Free \u2014 your writing time \u00b7 GEO consultants/agencies \u2248$2\u201315k/mo", "best_for": "Everyone. Tables, definitions, first-party data, named opinions, dates on everything \u2014 the content LLMs can quote is the only lever that creates citations rather than measuring them.", "why": "The only intervention with benchmark evidence: the Princeton/Georgia Tech GEO study (KDD 2024) showed adding quotations, statistics, and citations boosts generative-engine visibility up to 40%. Demand follows the evidence \u2014 'generative engine optimization' searches up 997% in 18 months and 'agentic seo' up 5,867% (Ahrefs, Jul 2026). Meanwhile the machine-readable shortcut failed: 97% of llms.txt files never receive a single request.", "watch": "Citations are not revenue \u2014 one documented case saw a 1,900% month-over-month jump in ChatGPT citations with little-to-no business impact (Ahrefs, Jul 2026). Effectiveness varies by domain; the GEO paper itself says no tactic is universal.", "evidence": [ { "stat": "Up to +40% generative-engine visibility from citations/statistics/quotations (GEO, KDD 2024)", "src": "https://arxiv.org/abs/2311.09735" }, { "stat": "97% of llms.txt files never get read; 'GEO' searches +997% in 18 months (Ahrefs, Jul 24, 2026)", "src": "https://ahrefs.com/blog/ai-search-trends/" }, { "stat": "Clicks fall 15%\u21928% when an AI summary appears; only 1% click the summary's links (Pew, Jul 2025)", "src": "https://www.pewresearch.org/short-reads/2025/07/22/google-users-are-less-likely-to-click-on-links-when-an-ai-summary-appears-in-the-results/" } ], "tile_note": "the actual ranking factor", "tile_name": "Structured content" }, { "rank": 2, "name": "Profound", "maker": "Profound", "url": "https://www.tryprofound.com", "docs": "https://docs.tryprofound.com", "pricing": "Starter $99/mo (ChatGPT only, 50 prompts) \u00b7 Growth $399/mo (3 engines, annual) \u00b7 Enterprise custom (9 engines, SOC2, SSO)", "best_for": "Enterprise brands that need board-grade answers to \"how do we show up in ChatGPT\" \u2014 visibility tracking, agent-traffic analytics, and a research corpus nobody else matches.", "why": "The category-definer and its first unicorn: $96M Series C at $1B led by Lightspeed (Feb 2026), on top of Sequoia and Kleiner Perkins money, barely 18 months after a $3.5M seed. Its moat is depth \u2014 research built on ~12B AI citations (Jul 2026) and CDN-level Agent Analytics (Cloudflare, Vercel, Akamai, Fastly) that shows which bots actually read your site rather than inferring from panels alone.", "watch": "Prompt-panel tracking is still sampled synthetic querying, not observed user behavior \u2014 treat share-of-voice numbers as directional. Pricing climbs fast past Starter, and the platform measures and advises; it doesn't write the content that earns citations.", "evidence": [ { "stat": "$96M Series C at $1B valuation, led by Lightspeed (Feb 2026)", "src": "https://www.tryprofound.com/blog" }, { "stat": "Starter $99/mo, Growth $399/mo billed annually, Enterprise up to 9 answer engines (pricing page, Aug 2026)", "src": "https://www.tryprofound.com/pricing" }, { "stat": "Research corpus of ~12B AI citations; 200k+-prompt ChatGPT shopping study (Jul 2026)", "src": "https://www.tryprofound.com/blog" } ], "tile_note": "the enterprise tracker, $1b" }, { "rank": 3, "name": "Peec AI", "maker": "Peec AI (Berlin)", "url": "https://peec.ai", "docs": "https://help.peec.ai", "pricing": "Starter (50 prompts) \u2192 Advanced (350 prompts, 5 projects) \u2248\u20ac90\u2013\u20ac420/mo \u00b7 annual \u221215% \u00b7 Enterprise custom (11 models, API, SSO)", "best_for": "Mid-market teams and agencies that want daily multi-model tracking with unlimited seats at a fraction of enterprise-platform cost.", "why": "The fastest rise in the category: launched Feb 2025, 1,300+ brands and agencies by Nov 2025, $21M Series A the same month, ~$10M ARR reported by early 2026. Tracks up to 11 models against 30M+ citation sources, ships agency workflows (multi-project, Looker Studio, unlimited users), and publishes some of the field's better methodology writing \u2014 including why server logs beat panels.", "watch": "A ~30-person company scaling at venture speed \u2014 expect pricing and packaging churn (it already repriced once in Mar 2025, and tier prices are rendered in-app rather than published). Same synthetic-prompt caveat as every tracker.", "evidence": [ { "stat": "$21M Series A; 1,300+ brands and agencies onboarded Feb\u2013Nov 2025", "src": "https://peec.ai/blog" }, { "stat": "~$10M ARR reported (early 2026, press reports \u2014 single-source)", "src": "https://peec.ai/blog" }, { "stat": "4 tiers, 50\u2192350+ prompts, 11 LLMs on Enterprise, \u221215% annual (pricing page, Aug 2026)", "src": "https://peec.ai/pricing" } ], "tile_note": "mid-market price-performance" }, { "rank": 4, "name": "Ahrefs Brand Radar", "maker": "Ahrefs", "url": "https://ahrefs.com/brand-radar", "docs": "https://help.ahrefs.com", "pricing": "$398/mo (select platforms) \u00b7 $699/mo (all 6 platforms + 2,500 custom prompt checks)", "best_for": "Teams that distrust synthetic prompt panels \u2014 Brand Radar mines 476M+ real monthly user prompts, inside the SEO suite you already run.", "why": "The strongest data claim in the category: visibility measured against 476M+ monthly prompts drawn from actual queries rather than tracker-invented ones, across AI Overviews/AI Mode, ChatGPT, Copilot, Gemini, Perplexity, and Grok, with 3,000+ companies using it. And Ahrefs is the field's most credible researcher \u2014 the 97%-llms.txt debunk and the ~58% AI Overview click-loss figure both came from its data.", "watch": "A costly add-on layered on an existing Ahrefs subscription. Brand-level monitoring first; designed-prompt tracking (2,500 checks) only on the $699 tier, and no agent-traffic analytics or content actioning \u00e0 la Profound.", "evidence": [ { "stat": "476M+ monthly prompts from real queries; 6 AI platforms; 3,000+ companies (product page, Aug 2026)", "src": "https://ahrefs.com/brand-radar" }, { "stat": "$398/mo select \u00b7 $699/mo all platforms + 2,500 prompt checks (Aug 2026)", "src": "https://ahrefs.com/brand-radar" }, { "stat": "Parent research: AI Overviews cause ~58% click loss for top positions (Jul 2026)", "src": "https://ahrefs.com/blog/ai-search-trends/" } ], "tile_note": "real prompts, seo suite" }, { "rank": 5, "name": "Semrush AI Toolkit", "maker": "Semrush (Adobe)", "url": "https://www.semrush.com/apps/ai-toolkit/", "docs": "https://www.semrush.com/kb/", "pricing": "AI features bundled in SEO + AI Search plans $117.33\u2013$455.67/mo (annual) \u00b7 AI Toolkit app sold per-domain \u00b7 Enterprise AIO custom", "best_for": "Suite-first teams and enterprises that want brand-in-LLM tracking, recommendations, and classic SEO under one contract \u2014 now with Adobe's balance sheet behind it.", "why": "The incumbent's answer, validated by the biggest check in the category: Adobe agreed to buy Semrush for $1.9B (Nov 2025, shareholders approved Feb 2026) explicitly to own brand visibility in AI search, and the toolkit now sits alongside Adobe Brand Visibility (n\u00e9 LLM Optimizer). Widest distribution of any GEO tool \u2014 it rides on Semrush's existing hundreds of thousands of subscriptions.", "watch": "Depth trails the specialists \u2014 fewer engines and shallower agent analytics than Profound, less agency tooling than Peec. Mid-integration into Adobe: packaging, pricing, and product names are all moving (AI features migrated from a $99/mo add-on into core plans during 2025\u201326).", "evidence": [ { "stat": "Adobe to acquire Semrush for $1.9B (announced Nov 2025; shareholder approval Feb 2026)", "src": "https://en.wikipedia.org/wiki/Semrush" }, { "stat": "SEO + AI Search plans $117.33\u2013$455.67/mo annual; Adobe branding live on semrush.com (Aug 2026)", "src": "https://www.semrush.com/pricing/" }, { "stat": "Adobe claims AI-answer visitors convert at 4.4x the rate of organic search (Brand Visibility page, 2026)", "src": "https://business.adobe.com/products/llm-optimizer.html" } ], "tile_note": "adobe's $1.9b geo bet" } ], "matrix": { "cols": [ "Entry price", "Engines tracked", "Prompt data source", "Agent/crawler analytics", "Action layer", "Enterprise", "Standalone or suite" ], "rows": [ [ "Profound", "$99/mo", "ChatGPT \u2192 9 (Ent.)", "Designed panels + 12B-citation corpus", "Yes \u2014 CDN-level (Cloudflare, Vercel, Akamai)", "Agents credits \u00b7 MCP workflows", "SOC2 \u00b7 SSO \u00b7 Slack support", "Standalone" ], [ "Peec AI", "\u2248\u20ac90/mo", "3 \u2192 11 models (Ent.)", "Designed prompts, daily", "Log-analysis guidance, no native capture", "Recs \u00b7 Looker Studio", "API \u00b7 SSO (Ent.)", "Standalone" ], [ "Ahrefs Brand Radar", "$398/mo", "6", "476M+ real monthly prompts", "No", "Insights only", "Via Ahrefs org plans", "Inside Ahrefs" ], [ "Semrush AI Toolkit", "in plans from $117/mo", "ChatGPT + major LLMs", "Keyword + prompt datasets", "No", "Strategic recommendations", "Enterprise AIO", "Inside Semrush/Adobe" ], [ "Otterly.AI", "$29/mo", "4", "Designed prompts, daily", "Agent analytics + GEO URL audits", "Audits \u00b7 API \u00b7 MCP", "SSO (Ent.)", "Standalone" ], [ "Goodie", "demo-only", "12+ models", "Prompt research w/ volume", "Agent site audit", "Content optimization + attribution", "Dedicated CS", "Standalone" ], [ "Evertune", "demo-only", "11 systems", "150M+ user-prompt panel, 100x sampling", "No", "Content recs + ChatGPT ads agent", "700+ advertisers/agencies", "Standalone" ], [ "Scrunch (Sitecore)", "via Sitecore", "Multiple", "Designed prompts", "AI-readiness site audits", "Omnichannel content optimization", "Sitecore DXP", "Acquired Jun 2026" ] ] }, "rules": [ { "if": "You are pre-PMF or pre-revenue", "then": "Buy no tracker. Run free checkers (HubSpot AI Search Grader, Ahrefs' free AI visibility checker) quarterly and put the money into structured, dated, opinionated content \u2014 the +40% lever is free." }, { "if": "An enterprise board is asking how the brand shows up in ChatGPT", "then": "Profound Growth or Enterprise \u2014 the only stack with CDN-level agent analytics plus a 12B-citation research corpus to defend the numbers." }, { "if": "You're a startup or agency with a sub-\u20ac500/mo budget", "then": "Peec (agency workflows, 11 models, unlimited seats) or Otterly at $29 to start \u2014 graduate only when a prompt panel changes a decision." }, { "if": "You already pay for Ahrefs or Semrush", "then": "Turn on Brand Radar or the AI Toolkit before adding a point solution \u2014 real-prompt data (Ahrefs' 476M/mo) beats a second synthetic panel." }, { "if": "Anyone pitches llms.txt, schema hacks, or 'AI SEO' one-time fixes", "then": "Walk. Ahrefs' Jul 2026 crawl data: 97% of llms.txt files never get a single request. Spend on content LLMs can quote and mentions on sources they read (Reddit, YouTube, listicles)." } ], "field": [ { "name": "Otterly.AI", "maker": "Otterly (Austria)", "note": "The budget on-ramp: $29/mo Lite tracks 4 engines daily; API, MCP, and GEO URL audits on higher tiers \u2014 the near-miss for the top 5", "url": "https://otterly.ai", "oss": false, "entry": "$29/mo", "status": "active" }, { "name": "Goodie", "maker": "Goodie AI", "note": "Full-loop AEO (research \u2192 monitor \u2192 action \u2192 attribution) across 12+ models, plus an agentic-commerce suite; Dermalogica, SteelSeries case studies claim 127\u2013335% AI-conversion lifts (vendor-reported)", "url": "https://www.higoodie.com", "oss": false, "entry": "demo-only pricing", "status": "active" }, { "name": "Evertune", "maker": "Evertune", "note": "GEO measurement plus the field's first ChatGPT ads agent; 150M+ user-prompt panel, 700+ advertisers/agencies (Aug 2026)", "url": "https://www.evertune.ai", "oss": false, "entry": "demo-only pricing", "status": "active" }, { "name": "Athena (AthenaHQ)", "maker": "AthenaHQ (YC W25)", "note": "AEO/GEO platform for commercial and enterprise brands across ChatGPT, Claude, Gemini, Perplexity", "url": "https://www.athenahq.ai", "oss": false, "entry": "demo-only pricing", "status": "active" }, { "name": "Scrunch AI", "maker": "Scrunch \u2192 Sitecore", "note": "Acquired by Sitecore Jun 3, 2026 (terms undisclosed; ~$225M per press reports) \u2014 first big GEO exit, now the AI-visibility layer of a CMS/DXP", "url": "https://scrunch.com", "oss": false, "entry": "via Sitecore", "status": "acquired" }, { "name": "Adobe Brand Visibility (ex-LLM Optimizer)", "maker": "Adobe", "note": "Launched Jun 2025 as LLM Optimizer, rebranded 2026; ~300M prompts with clickstream, edge-deployed fixes, Adobe Analytics attribution \u2014 pairs with the Semrush acquisition", "url": "https://business.adobe.com/products/llm-optimizer.html", "oss": false, "entry": "enterprise custom", "status": "active" }, { "name": "HubSpot AI Search Grader", "maker": "HubSpot", "note": "Free brand-in-LLM visibility snapshot \u2014 the right first taste before paying anyone", "url": "https://www.hubspot.com/ai-search-grader", "oss": false, "entry": "free", "status": "active" }, { "name": "Ahrefs free AI visibility checker", "maker": "Ahrefs", "note": "Free preview of Brand Radar's real-prompt dataset", "url": "https://ahrefs.com/brand-radar", "oss": false, "entry": "free", "status": "active" }, { "name": "Bluefish AI", "maker": "Bluefish", "note": "Enterprise brand-management-in-AI platform aimed at consumer brands; smaller footprint than Profound (not re-verified Aug 2026)", "url": "https://www.bluefishai.com", "oss": false, "entry": "enterprise custom", "status": "active" }, { "name": "Rankscale", "maker": "Rankscale.ai", "note": "Indie GEO tracker with per-engine visibility scoring; popular with solo SEOs (not re-verified Aug 2026)", "url": "https://rankscale.ai", "oss": false, "entry": "free trial \u2192 paid", "status": "active" }, { "name": "Knowatoa", "maker": "Knowatoa", "note": "'AI Search Console' \u2014 lightweight rank-style tracking across consumer AI models (not re-verified Aug 2026)", "url": "https://knowatoa.com", "oss": false, "entry": "free tier", "status": "active" }, { "name": "Writesonic (GEO platform)", "maker": "Writesonic", "note": "AI-writer pivoted to GEO visibility + content optimization in 2025 \u2014 content production side overlaps element Ce (not re-verified Aug 2026)", "url": "https://writesonic.com", "oss": false, "entry": "free tier \u2192 paid", "status": "active" }, { "name": "Similarweb AI traffic intelligence", "maker": "Similarweb", "note": "Clickstream view of chatbot referrals and AI-app usage \u2014 the neutral scoreboard for 'is AI sending traffic' (not re-verified Aug 2026)", "url": "https://www.similarweb.com", "oss": false, "entry": "freemium", "status": "active" }, { "name": "BrightEdge (AI Catalyst)", "maker": "BrightEdge", "note": "Enterprise SEO incumbent's AI Overviews/answer-engine tracking bolt-on (not re-verified Aug 2026)", "url": "https://www.brightedge.com", "oss": false, "entry": "enterprise custom", "status": "active" }, { "name": "Conductor", "maker": "Conductor", "note": "Enterprise SEO platform with AI-search visibility monitoring added 2025 (not re-verified Aug 2026)", "url": "https://www.conductor.com", "oss": false, "entry": "enterprise custom", "status": "active" }, { "name": "llms.txt", "maker": "Answer.AI proposal (Jeremy Howard, Sep 2024)", "note": "The category's cautionary tale: widely sold as a GEO must-have, but Ahrefs' Jul 2026 analysis of 137k domains found 97% of llms.txt files never get read by AI crawlers", "url": "https://llmstxt.org", "oss": true, "entry": "free", "status": "fading" } ], "signals": [ { "fact": "Profound raises $96M Series C at $1B led by Lightspeed (Feb 2026) \u2014 first GEO unicorn, 18 months after a $3.5M seed", "src": "https://www.tryprofound.com/blog" }, { "fact": "Adobe agrees to buy Semrush for $1.9B (Nov 2025; shareholders approve Feb 2026) \u2014 an incumbent paying up specifically for AI-search brand visibility", "src": "https://en.wikipedia.org/wiki/Semrush" }, { "fact": "Sitecore acquires Scrunch AI (Jun 3, 2026; ~$225M per press reports, terms undisclosed) \u2014 GEO folds into CMS/DXP suites", "src": "https://www.sitecore.com/company/newsroom" }, { "fact": "Demand curve: 'generative engine optimization' searches +997% in 18 months, 'agentic seo' +5,867%, 'ai search tracking' +184% (Ahrefs, Jul 2026)", "src": "https://ahrefs.com/blog/ai-search-trends/" }, { "fact": "The traffic squeeze driving it all: Google clicks fall 15%\u21928% when an AI summary appears (Pew, Jul 2025); AI Overviews cost top-ranked pages ~58% of clicks (Ahrefs, Jul 2026)", "src": "https://www.pewresearch.org/short-reads/2025/07/22/google-users-are-less-likely-to-click-on-links-when-an-ai-summary-appears-in-the-results/" }, { "fact": "Category velocity: Peec went 0 \u2192 1,300+ brands in nine months (Feb\u2013Nov 2025) and raised a $21M Series A; ~$10M ARR reported by early 2026", "src": "https://peec.ai/blog" } ], "notes": "Ranking criteria: evidence that the pick moves or measures AI citations, verified Aug-2026 pricing, and financial durability \u2014 no affiliate consideration. #1 is deliberately a practice: every platform here measures visibility; only content and mentions create it, and the llms.txt debunk (97% never read \u2014 Ahrefs, Jul 2026) is the argument against buying 'hacks.' Conflicts resolved: Sitecore's own press release discloses no price for Scrunch \u2014 the ~$225M figure is press-sourced and flagged as such; Peec's ~$10M ARR is single-source press reporting, and its exact tier prices are rendered client-side (\u2248\u20ac90\u2013\u20ac420/mo is our best reading \u2014 verify before quoting); Semrush's AI Toolkit was $99/mo per domain at 2025 launch but AI features have since migrated into core plans, so we cite the plan range instead. The canon line 'mentions beat backlinks 3-to-1' could not be re-verified against a primary source and is omitted from evidence. Field entries marked '(not re-verified Aug 2026)' were confirmed active earlier in 2026 but not re-fetched for this update due to access limits. Adjacent elements: content production tools (Jasper, Writesonic's writer, Claude) \u2192 Ce \u00b7 Content Engine; docs-as-answers \u2192 Dc \u00b7 Docs & Help; Reddit/YouTube presence that LLMs cite \u2192 So \u00b7 Social; classic-SEO rank tracking stays with the SEO half of Semrush/Ahrefs, not this element.", "sources": [ "https://www.tryprofound.com/pricing", "https://www.tryprofound.com/blog", "https://docs.tryprofound.com", "https://peec.ai/pricing", "https://peec.ai/blog", "https://help.peec.ai", "https://otterly.ai/pricing/", "https://www.higoodie.com", "https://www.evertune.ai", "https://www.athenahq.ai", "https://ahrefs.com/brand-radar", "https://ahrefs.com/blog/ai-search-trends/", "https://ahrefs.com/blog/ai-search-strategy/", "https://www.semrush.com/pricing/", "https://www.semrush.com/apps/ai-toolkit/", "https://en.wikipedia.org/wiki/Semrush", "https://www.sitecore.com/company/newsroom", "https://business.adobe.com/products/llm-optimizer.html", "https://www.pewresearch.org/short-reads/2025/07/22/google-users-are-less-likely-to-click-on-links-when-an-ai-summary-appears-in-the-results/", "https://arxiv.org/abs/2311.09735" ], "element": { "number": 25, "name": "Answer Engines (GEO)", "group": "Distribution & Growth", "essential": true, "edition": "v2026.Q3", "revision": "r7", "license": "CC BY 4.0 \u2014 cite elems.ai", "url": "https://elems.ai/e/ge.html" } }