How a scan works. URL in, fixes out.
citeproduct is an AI Search Readiness audit. Enter a URL: it scores your readiness across 7 dimensions, asks 5 real engines (ChatGPT, Claude, Gemini, Perplexity, DeepSeek) whether they name you or a competitor, then hands you the copy-paste fixes. No crawler to install, no dashboard to configure.
Enter your URL
Paste any page or domain. No signup, no crawler to install. Pick Page audit (rules, free, instant) or AI visibility, which reads the page and runs the visibility snapshot.
Get the diagnosis
citeproduct fetches the page, checks robots, sitemap and llms.txt, scores AI Search Readiness across 7 dimensions, and asks 5 real engines whether they name you or a competitor.
Copy the fixes
Every issue ships with its fix: paste-ready JSON-LD schema, an llms.txt draft, FAQ entries, content rewrites. Export HTML or Markdown, or share a link.
[ Three scan types ]
Pick your depth
Page audit
Deterministic SEO and AI-readiness checks. No API cost, no waiting. Great for a fast pulse or batch runs.
AI visibility
Adds the AI read of one page plus the visibility snapshot across 5 engines, with content rewrites, prompt coverage and tailored fixes.
Full-site audit
Discovers pages via sitemap and internal links, scores each, runs full AI on the homepage, and builds a site-wide priority action plan.
[ What you get ]
A report you can act on
- AI Search Readiness scored across 7 dimensions, plus SEO foundation
- AI Visibility Snapshot: who 5 engines name for your buyer questions
- Citation sources: where AI found its answers (your site vs competitors vs reviews and communities)
- Prioritized issues with severity, effort and impact
- Copy-paste schema, llms.txt, FAQ and content rewrites
- AI prompt coverage: the questions you answer versus miss
- Crawler and discovery status for every major AI bot
[ Applying the fixes ]
Built for copy-paste
This is the part most tools skip. Schema drafts drop straight into your page <head>. The llms.txt draft goes at your site root. FAQ and rewrites are written to publish as-is. Every fix says why it matters for AI search, so you can prioritize.
[ Real example ]
We ran the playbook on ergono3d.com
Before opening citeproduct, we used the same audit on Ergono3D: a full-site audit, copy-paste fixes, and a re-check after the work shipped.
- Added llms.txt, Organization schema and FAQ schema.
- Reworked pages into answer-first, citable sections.
- Used the report to spot thin pages and missing buyer-question coverage.
This is Google Search Console data, not a guarantee of AI citations. It shows the same readiness work moving in the right direction over the same window.
Read the case study →
[ What a scan looks like ]
From a URL to a report you can act on
Paste a URL and you get two scores, a one-line verdict, an AI visibility snapshot, and copy-paste fixes. Here is what each part actually looks like.
