What CiteGraph does

Who it is for

Founders, marketers and SEO consultants who want a straight answer to “does AI recommend us?” and a plan when the answer is no. Solo founders use it on one domain. Agencies track several client domains on one account and hand clients a white-label report. It is not for people who want a rank to buy: positions are measured from real answers and cannot be edited by anyone, including us.

What a tracked buyer question is

A question a real buyer types into an assistant, in their words, not a keyword. “Best invoicing tool for a freelancer who hates spreadsheets.” “Rewardful vs FirstPromoter for a bootstrapped SaaS.” “Cheapest way to get DPDP compliant without a developer.” CiteGraph reads your site and writes ten of these for your product and category. You see them before anything runs, delete the ones that miss, and add your own. The set is then fixed, so week-to-week movement is real movement and not a different question.

How it finds the pages engines cite, and the answers you are missing from

Each question goes to the four engines through their official APIs with web search on, the same retrieval a buyer triggers. We keep every answer verbatim. Two things are counted separately: named, your product appears in the answer’s text, and cited, your site is one of the pages the engine used as a source. A product can be recommended constantly while its own words never reach the buyer, so both matter.

Every cited page is recorded and graded by what it actually says about your category. Across every scan we have run, the pages engines cite are mostly not the brands’ own sites: Reddit threads, listicles, review platforms and directories. Those pages are your gatekeepers, and the map of them is the most useful thing in the product. Every question where you are not named is a blind spot, listed with the verbatim answer and the reason the engine picked someone else.

What a fix includes

For every blind spot, the one sentence that would have put you in the answer, in your product’s words. An action plan in order: each move names the target page, why it matters, and the first step, and the next move follows you around the app until it is done. Site readiness: fifteen checks on whether the engines can reach, read and quote your site, from robots.txt for the eight crawlers that feed them to schema and the plain sentence that says what you are, each with the code ready to paste. And drafts: the comparison page, the pitch to a listicle owner, the answer to a forum thread, written from your scan, never from invented facts.

Which assistants are covered

ChatGPT, Claude, Gemini and Perplexity. ChatGPT is labelled “ChatGPT-family” inside the product because we run an OpenAI model with web search through a provider rather than the consumer app, and the label should say so. Claude and Gemini are the production models through their official APIs; Perplexity returns its citations natively. We never scrape a chat interface and never simulate an answer.

Methodology and how often it runs

Ten questions, four engines, three runs each on Starter and five on Growth and Scale: 120 or 200 sampled answers per scan. Rates carry Wilson 95% intervals, and a change is only reported as movement when it exceeds the combined margins of the two scans. Scans re-run weekly on every plan. Category leaderboards re-run weekly too and cannot be bought or edited. The full method, including what we deliberately do not do, is on the methodology page.

What it costs

A site readiness check is free and needs no signup at citegraph.app/readiness. A single full scan is $12. Weekly tracking starts at $29 a month for 2 projects, $69 for 3, and $149 for 6 with white-label reports. Every plan has a 7-day trial. The full table is on the pricing page.

Questions