CiteRank tests real buyer questions, shows where AI recommends competitors, lists the sources behind those answers, and tells you what to fix first.
Reddit, LinkedIn, Wikipedia, YouTube, and Medium are often visible inside AI answers. CiteRank shows which sources matter before you spend time on the wrong work.
Buyer Questions
20
tested
AI Answers
120
captured
Cited Sources
196
reviewed
Next Actions
10
prioritized
AI visibility audits across major answer engines
Many teams do not need a vague GEO pitch. They need one buyer question checked. Send your website, the question, and the competitors you keep seeing, and we can judge whether the CiteRank baseline fits.
No full brief required.
Scope from a real domain.
Buy, wait, or fix first.
AI search visibility baseline
CiteRank connects your product facts, buyer questions, AI answers, cited sources, and page gaps. The output is a plain-language report plus a ranked list of next steps.
We test real buyer questions and show whether ChatGPT, Perplexity, Claude, or Gemini mention your brand, your competitors, or nobody useful.
We organize what your product does, who it helps, which use cases matter, what it costs, and which proof AI systems should be able to read.
We group the questions buyers actually ask AI by use case, comparison, price concern, and purchase stage.
We list the pages, directories, reviews, docs, and community sources that AI answers cite, then show where competitors appear and you do not.
We turn each gap into plain next steps: page fixes, FAQ updates, comparison pages, source submissions, outreach drafts, and evidence to collect.
We keep the same question set and recheck it after changes ship, so progress is measured instead of guessed.
How it works
Start with the same buyer questions and evidence. Recheck them after fixes ship so each change can be measured instead of debated.
Share your website, category, best buyers, use cases, and competitors. We turn that into a test set of buyer questions.
We test how AI answers describe your category, which brands they mention, which sources they cite, and which buyer paths you are missing.
You receive a prioritized list of page fixes, source gaps, and follow-up checks. Monthly tracking can measure the same questions after fixes ship.
From Signal To Action
Practical GEO work is simple: understand the product, test buyer questions, read the answers, find cited sources, fix the gaps, then recheck. CiteRank keeps those pieces connected.
Diagnostic Tools
Use lightweight diagnostics to spot obvious issues. The paid baseline is where we turn the signal into competitor evidence and next steps.
Analyze if your content is optimized for AI citations
Open diagnosticVerify if AI bots can access and index your pages
Open diagnosticGenerate JSON-LD FAQPage schema markup instantly
Open diagnosticCreate the llms.txt file that helps AI models find your content
Open diagnosticThe sample report separates broad AI visibility from real citation data instead of pretending every signal means success.
Microsoft Clarity evidence showed Image3D pages being cited by AI systems, which became the first source list for the case.
The deliverable turns answer gaps and cited-source patterns into page fixes, source targets, and weekly recheck timing.
Pricing
Month one gives you the evidence baseline. After delivery, you can keep optional weekly rechecks active.
We show where AI search recommends competitors, which sources support them, and what your team should fix first.
Get deeper source strategy, weekly action review, and faster founder support when the gap is worth pushing harder.
FAQ
Traditional SEO tools track Google rankings. CiteRank checks AI answers and shows whether AI systems mention your brand, recommend competitors, or cite sources where you are missing.
In 48-72 hours, get the first report: competitor gaps, answer evidence, cited sources, and the next steps to fix first.