FindableSite audits your website for SEO, AEO, GEO/LLM readiness, AI crawlability, structured data, and content gaps - then gives you the evidence, the fixes, and a way to verify they worked.
Quick Page Audit
Audit one page instantly. No login required.
Full Website Audit
Scan multiple pages, group root issues, and verify fixes.
25
Evidence-backed checks
3
Score families
100
Pages per site audit
1-click
Copy-paste fixes
& CSV reports
Verify
Re-crawl after a fix
The AI Readiness Engine
Most tools stop at a score. FindableSite runs the whole loop - crawl, prove, group, fix, verify, and keep watching.
One page or a whole site
Rendered when needed
25 checks, proof attached
Grouped by real cause
Framework-aware snippets
Re-crawl, confirm, prove
Catch regressions early
What we check
Every check runs against your live page and reports the evidence behind its verdict - so you can see exactly why something passed or failed.
The fundamentals search crawlers still rely on to index and rank a page.
Example signals
Title, meta description, H1/H2s, canonical, sitemap.xml
Whether answer engines can lift a clean, direct answer straight off the page.
Example signals
FAQ section, question-shaped H2s, concise answer blocks
Signals generative engines use to summarise, quote, and attribute content.
Example signals
AI summary / TL;DR, quick facts, llms.txt, related topics
Whether AI crawlers are allowed to fetch your pages in the first place.
Example signals
robots.txt rules for GPTBot, ClaudeBot, PerplexityBot
Machine-readable markup telling engines what the page is, not just what it says.
Example signals
JSON-LD for Article, FAQPage, BreadcrumbList, Organization
The credibility markers AI systems weigh before repeating a claim as fact.
Example signals
Cited sources, named author, visible last-updated date
How discoverable a page is from the rest of your site - for crawlers and readers.
Example signals
Internal link count, descriptive anchors, orphan-page risk
Whether AI engines actually mention or cite your brand - measured with real prompt runs, never guessed from HTML.
Example signals
Mentions, citations, sentiment, share of voice per prompt
Sample report preview
Scores per category, issues grouped by root cause, the exact pages affected, and a verification pass that proves the fix landed.
example.com — full site audit
SampleNeeds Work
Overall Findability Score
SEO
78
AEO
54
GEO / LLM
41
Verification
2 / 3 fixed
Re-crawled after each fix to confirm it landed.
AI crawlers blocked in robots.txt
No FAQPage structured data
Missing last-updated date
Illustrative sample using example.com — not a real audit or customer data.
The difference
A number on its own doesn't tell you what to change, where to change it, or whether the change worked. That gap is the whole product.
Where most tools stop
Built to fix, then prove it
Why it matters
Being useful to a human reader is no longer enough on its own — the systems summarising the web have to be able to parse and trust your page first.
AI Overviews, ChatGPT, Gemini, and Perplexity increasingly answer the question directly and cite a handful of sources — instead of handing back ten blue links.
When an assistant recommends a tool, a service, or a source, it's working from pages it could fetch, parse, and trust. Pages it can't read simply aren't in the running.
Clear headings, structured data, extractable answers, cited sources, and a visible freshness date are what let a machine understand a page rather than guess at it.
You can't control how an engine picks its sources. You can control whether your pages are crawlable, parseable, and credible — that's the foundation, and it's measurable.
FindableSite measures readiness signals. It does not guarantee rankings or AI citations. A strong score means engines can crawl, parse, and trust your content — the outcome still depends on competition, authority, and how each engine picks its sources.
How it works
Paste any URL — no signup, no credit card, no setup. Audit a single page, or point us at the whole site.
Takes about 30 seconds
We fetch the page the way a crawler does — rendering JavaScript when needed — then read robots.txt, sitemap.xml, structured data, headings, and content signals.
25 evidence-backed checks
SEO, AEO, and GEO/LLM scores with a prioritised fix list, copy-paste snippets, and a PDF you can hand to a developer or a client.
Then re-audit to verify
Features
Most audit tools hand you a list of problems. FindableSite groups them by root cause, tells you where to change them, and verifies the fix afterwards.
25 checks against any single URL, with evidence for every verdict. No signup required.
Sample around 20 representative pages across the site — enough to spot patterns fast.
Crawl up to 100 pages for broader coverage across templates and page groups.
Collapses hundreds of page-level failures into the handful of underlying causes worth fixing.
Flags whether an issue is global, template-wide, or specific to one page — so you fix it once.
Shows what the crawler actually fetched and rendered, including coverage and confidence.
Client-ready PDF reports and CSV exports of scores, issues, and audited pages.
Re-crawls affected pages after a change and confirms the fix landed — never a manual checkbox.
Run real prompts against real AI engines to see if your brand is mentioned or cited. A separate metric from readiness.
Who it's for
Audit client sites in minutes and hand over a branded PDF with prioritised, defensible findings.
Make sure your docs, comparison pages, and landing pages are the ones AI assistants can quote.
Extend a traditional SEO audit with AEO and GEO/LLM signals your competitors aren't measuring yet.
Check whether an article is structured to be summarised and cited before you hit publish.
Find out in plain language why AI tools aren't surfacing your site — and exactly what to change.
Get framework-aware fixes that name the file and template to edit, ready to hand to a developer.
FAQ
FindableSite is an AI search readiness auditor. It checks whether your website is structured so that search engines and AI assistants — Google, ChatGPT, Gemini, Perplexity and others — can crawl, understand, summarise, and cite it. You get scores, prioritised issues, copy-paste fixes, and reports.
An automated review of how well a page is structured for AI-driven search: 25 evidence-backed checks across classic SEO, Answer Engine Optimization (AEO), and Generative Engine Optimization (GEO/LLM readiness) — crawler permissions for AI bots, structured data, answer-ready formatting, and trust and freshness signals. Every finding shows the evidence it was based on.
AEO is structuring content so an answer engine can lift a clean, direct answer straight off your page — question-shaped headings, concise answer blocks, and FAQ markup. Where classic SEO aims to win a click, AEO aims to be the passage that gets quoted when the engine answers on your behalf.
GEO (Generative Engine Optimization) is the practice of structuring content so generative AI systems can understand, summarise, and cite it. It overlaps with SEO but adds AI-specific signals: crawler permissions for AI bots, llms.txt, extractable summaries, quotable facts, and credible sources.
No — and any tool that promises that is overselling. A high score means AI systems can crawl, parse, and extract your content without obstacles, which improves your odds of being used and cited. Rankings and citations also depend on factors no page-level audit controls: competition, domain authority, and how each engine selects its sources.
The free Quick Page Audit covers one URL with no signup. With a free account you can run a full website audit that discovers and samples representative pages across the site — roughly 20 pages by default, and up to 100 for deeper coverage. Pages are sampled across templates and page groups rather than taken in crawl order, so patterns show up faster.
Readiness means your page is structured so AI and search systems can understand it — that's what the audit measures from your HTML. AI Visibility means engines actually mention or cite your brand when people ask relevant questions — that can only be measured by running real prompts against real engines. We keep the two scores strictly separate and never infer visibility from HTML checks.
Scores regress: templates change, content goes stale, and a deploy can accidentally block a crawler. Continuous monitoring tracks readiness over time, re-runs your tracked AI visibility prompts, and — after you ship a fix — re-crawls the affected pages to confirm the fix actually worked rather than assuming it did.
Track readiness changes, AI visibility prompts, citations, competitors, and regressions over time - so a template change or a stray robots.txt rule doesn't quietly undo your work.