Making websites legible to AI search
We build honest, measurable diagnostics for the moment when a growing share of questions get answered by assistants instead of a list of links.
Clear answers about AI visibility
Most site owners cannot tell whether ChatGPT, Perplexity or Gemini are even allowed to read their pages, let alone whether those pages are formatted in a way an engine can quote. Our mission is to turn that uncertainty into a short, prioritized checklist anyone can act on.
We want the tools to be useful without a sales call, so every one of them runs for guests with a daily allowance, and a free account covers the needs of many small sites.
Why AI search changes SEO
Generative engines retrieve a few pages, summarize them and cite a subset. Pages that block AI crawlers, bury the answer under long intros or lack clear entity signals are easy to skip. Traditional SEO still gets you indexed; AI readiness decides whether you are quoted.
A focused set of diagnostic tools
AI Score Checker
A five group readiness grade for any single URL, with fixes sorted by impact.
Open toolSEO Audit
A deep single page review covering meta tags, links, headers, schema, performance, AEO and GEO.
Open toolRanking Keywords
The queries a domain already ranks for, with volume, CPC and estimated traffic.
Open toolAI Citation Analyzer
Which sources live AI engines cite for a question, and what those winning pages have in common.
Open toolAI Crawl
Robots.txt, llms.txt and meta directive checks for 30 AI and search user agents.
Open toolWhite Label Reports
Your branding on every report for client delivery, printing and sharing.
Learn moreHow we work
Accuracy first
Each check tests something we can observe in the fetched page, its headers or its robots.txt. If a signal cannot be measured reliably, we leave it out rather than guess.
Transparent data sources
Keyword metrics come from DataForSEO. Optional Core Web Vitals come from Google PageSpeed Insights. Citation results come from the APIs of AI engines such as Perplexity, OpenAI and Google Gemini. We name them so you can judge the data yourself.
No ranking promises
We explain what to improve and why it matters. We never claim a score will produce a specific position, citation or traffic figure, because no outside tool controls those outcomes.
How scores are calculated
When you submit a URL, our server downloads the HTML and response headers, then reads the site's robots.txt and looks for llms.txt. Each check returns pass, partial or fail, and those results roll up into weighted group scores.
| Group | Examples of what is measured |
|---|---|
| AI crawler access | Robots.txt rules per AI bot, llms.txt, noindex and noai directives |
| Structure | One H1, heading order, lists, tables, paragraph length, answer-first intro |
| Content quality | Word count, readability, vocabulary variety, question headings, FAQ, dates |
| Entity and trust | Schema types, author, about and contact links, OpenGraph, canonical, HTTPS |
| Technical | Response time, page size, compression, viewport, lang, image alt text |
The overall figure is a weighted blend of the five groups, reported from 0 to 100. Fixes are ordered by how many points they are likely to recover, so the top of the list is where your effort pays off most.
The people behind the tools
Team profiles are coming soon. We are adding short bios for the people who design the scoring model, maintain the integrations and write our guides, so you can see who stands behind each recommendation. Meanwhile, our writers are listed on the authors page.
See the methodology in action
Run one page through the checker and compare each group score with the table above.