# Why Cited | The GEO Platform Built on Evidence > See why AI recommends your competitors instead of you, and get the evidence to fix it. Built for PMMs, growth teams, and content marketers. Source: https://www.citedintel.com/why-cited By Cited (citedintel.com) — the generative engine optimization (GEO) platform. --- # The Generative Engine Optimization (GEO) Platform that gets your brand recommended by AI. Scores don't win recommendations. Cited (citedintel.com) runs your buyers' real journey questions across AI engines, shows the verbatim evidence behind every answer, fixes what loses you recommendations, content, positioning and technical readiness, then re-measures to prove what moved. ### Own the AI search shortlist Your AI share of voice across ChatGPT, Perplexity, Claude and Gemini: a defensible number for the business, benchmarked against your real category. ### Know why the narrative moved Evidence-backed reasons AI recommends competitors over you. The story behind every shift, not just a score. ### Turn gaps into fixes Positioning, messaging, or content gaps, each answered with a one-click editable draft of the exact page you're missing — yours to refine and publish. ### Track. Iterate. Repeat. AI Share of Voice and positioning narrative tracked run over run, so you always know what's working, what's not, and where to improve. The Cited agent roster Six agents behind the four pillars above. Every audit runs all of them. Prompt Intelligence Agent Builds your buyer-intent prompt set from your ICP, per persona and funnel stage, and evolves it as your market moves. Diagnosis Agent Reads every AI answer and explains why you were skipped: content gap, off-site venue, or technical. GEO Content and Optimization Agent Turns each gap into a brief and an editable draft, grounded in the citations competitors win, tracked to done. Competitive Intelligence Agent Benchmarks your whole category, flags threats the week they happen, and briefs you on any company mid-deal. GEO Readiness Agent Runs 30+ SEO, GEO and AEO checks (crawler access, structured data, llms.txt) with the exact fixes. Reporting Agent One click to an executive report: AI share of voice, sentiment, endorsement strength, and the trend since the last fix. 32% of sales-qualified leads at some enterprises are already influenced by AI-generated citations, one industry estimate We can't tell you the industry average. We can tell you how often ChatGPT, Perplexity, Claude and Gemini recommend you, specifically, against your real competitors, this week. ## The same week, with and without Cited Without Cited - AI recommends your competitors, you never see it happen - Manual ChatGPT spot-checks; no history, no trend, no proof - Content guesses at what AI actually cites - PR pitches sent to pages AI never reads - English-only checks while your Dutch, Hindi or Arabic buyers ask AI in their own language With Cited - A real read on how ChatGPT, Perplexity, Claude and Gemini answer your buying questions - Share of voice and narrative shifts tracked audit over audit - Fix drafts generated from the actual competitive evidence - Earned media targets from the exact pages AI cites, with pitch drafts and editor contacts - Buying questions generated natively in any of 91 languages, benchmarked per market ## How it works 1 Run a free audit: your real buying-intent questions, checked against ChatGPT and Perplexity 2 See why: which evidence your competitors have that you don't, not just a score 3 Ship the fix: a generated, ready-to-use page you put live on your site, grounded in the actual gap 4 Track what happens: does your share of voice move, does the narrative change Why run this as a standing loop instead of a campaign? Because answer presence compounds while campaigns reset — [how AI search concentrates buying power](https://www.citedintel.com/answer-engine-optimization/winner-take-most-ai-search-b2b-buying) makes the full argument. ## Execution, not monitoring One audit compresses about a week of manual prompting and positioning work into roughly ten minutes, then hands you the execution, on-site and off-site. 1 · Audit Your buyers' real journey questions against live engines. Every answer stored verbatim with its citations. 2 · Diagnose Why rivals win each recommendation, with the evidence attached. No black-box scores. 3 · Execute Drafted fixes in your brand voice, guarded against cannibalizing your own pages, plus earned media opportunities: the exact third-party pages the engines cited, sliced by buying stage and engine, each with a one-click pitch draft and the editor's contact. Digital PR, weighted by AI citations. 4 · Re-measure Newer audits re-ask the same questions. Every fix gets a before and after. GEOAEOContent optimizationPositioningDigital PR ## Built around the job you actually have ### For PMMs [Full guide →](https://www.citedintel.com/for/product-marketing) “You need a defensible AI-visibility number for the board deck, and a story for why it moved.” → Share of voice with category benchmarks, brand narrative tracking, one-click report export. ### For growth and demand gen marketers [Full guide →](https://www.citedintel.com/for/growth) “You need to know which gap affects the most buying conversations, not just what's 'wrong', and instant intel when a competitor surfaces mid-deal.” → Gaps ranked by buying conversations affected, a concrete number, not an abstract score, plus Competitive Snapshot and Battle Cards for the deal that's live right now. ### For content marketers [Full guide →](https://www.citedintel.com/for/content-marketing) “You need a brief that's already half-written, not another blank doc to stare at.” → Every gap generates a real draft grounded in the actual competitive evidence. ### For startups [Full guide →](https://www.citedintel.com/for/startups) “Your buyers ask AI before they ever reach you, and bigger competitors are capturing that market share for free.” → A free, real audit: your AI search visibility and the reason behind it, then the fix, generated as an editable draft you refine and publish. ### For agencies [Full guide →](https://www.citedintel.com/for/agencies) “You need to run this across several clients without five logins or your name disappearing from the work.” → Seats, project add-ons, and custom attribution on everything you share. ## The insights Cited actually surfaces ### Brand Searchability on AI When buyers ask ChatGPT or Claude who to shortlist, are you in the answer? Cited (citedintel.com) shows where you surface, where you're invisible, and which buying conversations that's costing you. It is the baseline measurement both generative engine optimization (GEO) and answer engine optimization (AEO) start from. ### AI Category Benchmark The real questions your buyers ask before they shortlist, and how AI answers each one: who gets recommended, for which use case, on what evidence. You see the category positioning and messaging that wins each conversation, and where yours needs to sharpen. ### Brand narrative shift Whether AI's actual description of your company has changed between audits (“now describes you as developer-first”), the kind of change a single query can never show, because it requires the historical comparison this product is built to hold. ## When AI gets your brand wrong Engines misstate brands every day: a wrong price, a retired feature, a competitor's capability attributed to you. Every Cited audit stores the answers verbatim with their citations, so misstatements surface with the evidence behind them. The same workflow drafts the corrective content, and newer audits confirm the engines dropped the claim. Weighing the whole category first? Start with [the 10 best GEO tools ranked](https://www.citedintel.com/best-geo-tools) or the [head-to-head comparisons](https://www.citedintel.com/compare-geo-tools). ## How Cited measures AI visibility instead of modelling it There is no search volume data for AI conversations, and no AI engine reports impressions or click-through rates for the answers it gives. Any tool that shows you “AI impressions” is modelling, not measuring. Cited (citedintel.com) takes the same approach the SEO industry settled on years ago with rank tracking: we ask the engines your buyers' actual questions, on a fixed schedule, and record what comes back. Every audit fires your buyer-intent prompts at ChatGPT, Claude and Perplexity and stores the full answers, so every number on your dashboard clicks through to the raw evidence that produced it. Three measurements matter, and they are not the same thing: - A mention: your brand named inside an AI answer to an unbranded buying question - A citation: a URL the engine actually pointed to as a source, which could be your site, a review platform, a Reddit thread or a competitor's comparison page - Endorsement strength: how the AI recommends you when it does: how early you appear in its list and how positively it talks about you, scored from the stored answer with the exact quote attached Share of voice is calculated only on unbranded questions. Asking an AI about your own brand will always mention you, so branded prompts are tracked separately for sentiment and excluded from the score. That is a deliberate design decision: a visibility number you can defend in a board meeting beats a flattering one you cannot. To connect visibility to business impact, pair your Cited trend with the AI referral traffic already in your analytics. Clicks from ChatGPT, Perplexity and Copilot arrive on your site with identifiable referrers, so when your share of voice climbs and your AI referral sessions climb with it, you have the same evidentiary chain SEO teams have always used: ranking measurement plus real traffic. AI Rankings · You vs competitors Live #BrandAI SOVTrend 1BBrightstack34% 2YYour brandYou27% 3NNimbusly19% 4CCorefleet11% 5VVantapoint6% Your buyers already asked AI. Reach them before your competitors [Claim Your AI Search Visibility](https://www.citedintel.com/start) [Try the interactive demo](https://www.citedintel.com/demo) Win category conversations with GEO optimized Brand Visibility