Generative Engine Optimization (GEO) · Free AI search audit · No signup

Free AI search audit that gets your site cited by AI

See how ChatGPT, Perplexity, Claude, and Google AI Overviews read and quote your pages. Test answer-readiness, content chunkability, entity grounding, schema markup, and AI crawler access in one free scan.

Free to use. No signup. Works on any public URL.
ChatGPT Search(OpenAI)
Perplexity AI(Citations)
Google AI Overviews(Gemini)
Claude(Anthropic)
Microsoft Copilot(Copilot)
Claude
ChatGPT
Gemini
Perplexity
Incoming AI Citations & Traffic
GEO Citation StatusQUOTED & GROUNDED
Engine ScopeChatGPT, Claude & Perplexity
llms.txt StandardValidated (200 OK · 0 Errors)
Answer ExtractionPasses (88% Factual Density)
</> GPTBot, ClaudeBot & PerplexityBot allowed
AI SEARCH & GEO

See why AI answers quote other sites and not yours

The same scan runs 42 AI search checks, the part people call GEO. It asks one thing: can ChatGPT, Claude and Perplexity read your page, and quote it? Review the full GEO audit checklist to see every AI check it runs.

  • Checks whether your key sections answer the question in the first 60 words. That opening is the part an AI model lifts and quotes.

Generative Engine Optimization Signals

How AI answer engines evaluate and quote your pages

Standard SEO optimizes for a blue link click. Generative Engine Optimization (GEO) optimizes for direct extraction: whether an LLM can isolate a self-contained passage, verify your entity authority, and cite your brand.

Passage Extraction & Quotability

Answer-Ready Passages

Detects self-contained passages a model can quote without surrounding context, and flags sections that only make sense after reading the whole page.

Zero-Context Comprehension: Checks if definitions and claims stand alone without referring to previous paragraphs.
Inverted Pyramid Placement: Verifies direct answer sentences sit immediately under H2 and H3 question headings.
Factual Information Density: Scans for high fact-to-fluff ratios favored by Perplexity and ChatGPT Search.
Retrieval & Semantic Grounding

Chunkability & Entity Clarity

Checks heading structure, passage length, and whether your brand, product, and topic entities are named explicitly instead of hidden behind pronouns.

Semantic Token Chunking: Measures 80–140 word sections under clean headings for optimal embedding ingestion.
Explicit Entity Citations: Catches vague terms like 'the tool' or 'our platform' that rob your brand of attribution.
Topic Cluster Alignment: Maps parent-child context to prevent orphan content from losing topical authority.
Structured Verification

Machine-Readable Proof & llms.txt

Validates JSON-LD and microdata with line-by-line source locations, plus statistics, citations, author and freshness signals that support E-E-A-T.

Validated Schema.org Graphs: Checks Article, Person, Organization, and FAQPage nodes for schema completeness.
llms.txt Specification: Verifies presence and markdown structure of your root documentation feed.
Zero-JS HTML Deliverability: Ensures content is fully readable without requiring client-side JS hydration.
Crawlers & Source Recency

AI Crawler Access & Freshness

Reviews robots.txt rules for AI user agents, render mode, and whether claims include verifiable citations and date stamps.

AI Bot Permissions: Scans for accidental Disallow rules targeting GPTBot, PerplexityBot, and ClaudeBot.
Date Modified Timestamps: Verifies published and updated dates match structured data headers.
Evidence & Citation Footnotes: Rewards outbound links to primary sources, research papers, and data sets.
Interactive Audit Output

What your AI search report looks like

A real preview of the GEO intelligence section. Every finding identifies the specific signal, the pass/fix verdict, and a concrete code or content recommendation.

https://yourdomain.com/blog/pricing-guide
GEO Score: 78 / 1002 Pass4 Fix
AI Citation Readiness Simulation
Evaluated across ChatGPT Search, PerplexityBot, and Google SGE
Answer-ready passagesFix Needed

2 of 9 sections are self-contained. The pricing section relies on the paragraph above it.

Impact: High
Chunkability & HeadingsPassed

Average section length 96 words under descriptive H2s, which splits cleanly for retrieval.

Impact: Good
Entity clarity & groundingFix Needed

The product is referred to as 'the platform' 11 times without naming the brand entity.

Impact: High
AI crawler access (robots.txt)Passed

GPTBot, PerplexityBot and ClaudeBot are allowed, and content renders without JavaScript.

Impact: Good
llms.txt fileFix Needed

No /llms.txt found. Generate one and host it at the domain root.

Impact: Medium
Stats, citations and freshnessFix Needed

No dated claims or outbound sources found, and no visible last-updated date.

Impact: Medium
Plus 200+ traditional SEO, speed, schema, and accessibility checks.
Model Context Protocol

Run a free audit from ChatGPT or Claude over MCP

Connect our free MCP server to Claude Desktop, Cursor, ChatGPT or Windsurf. Ask it to check a URL and all 203 checks run right there in the chat. No API key needed.

  • Ask in plain English

    Say "check this URL" in chat and the scan runs. No commands to learn.

  • Every check runs

    All 203 checks, including speed, schema markup and llms.txt.

  • One-click setup

    Ready-made config for Claude Desktop, Cursor, Windsurf and Copilot.

  • It writes the fixes

    Your assistant reads the results and writes the code fix for you.

5-Minute Workflow

How to read & fix your AI visibility score

From raw URL submission to deploying quotable content that earns citations inside ChatGPT and Perplexity.

01Step 1 of 5

Paste the page URL

Enter the exact page you want answer engines to cite, not just the homepage. Use the canonical https URL.

02Step 2 of 5

Run the free audit

The crawler fetches the page, renders its markup, and scores technical SEO, GEO, content, linking, accessibility, and security signals.

03Step 3 of 5

Read the GEO category score

It aggregates answer-readiness, chunkability, entity clarity, structured data, and citation signals into one number.

04Step 4 of 5

Fix the priority items

Work the prioritized list top down. Each finding names the failing element and where it appears in your HTML.

05Step 5 of 5

Re-run and share the report

After deploying the fixes, re-run the audit and share the public report link with your team or client.

Automate

Connect with MCP

Connect our public Model Context Protocol server to ChatGPT or Claude to run audits directly in chat.

FREE SEO TOOLS

Free generators for the files your report says are missing

A missing robots.txt, sitemap.xml or llms.txt is one of the most common findings in a free SEO audit. Build yours here in the browser, upload it to your site root, then run the scan again.

Verified Specialist@imvasa_dev

Built by an SEO consultant who uses it every day.

I’m Vasa. I do GEO and AEO work for SaaS and B2B teams, which means I help them get found in Google and quoted by AI. This tool runs the same checklist I use for paying clients, made free and public.

Checklists and guides
to check your own site

Frequently asked questions

Everything you need to know about optimizing for ChatGPT, Perplexity, and AI Overviews.

What is an AI search audit?

An AI search audit measures whether an AI answer engine can find, parse, trust, and cite your page. It scores answer-ready passages, content chunkability, entity clarity, structured data, E-E-A-T signals, statistics and citations, freshness, llms.txt, and crawler access for AI user agents.

How is an AI search audit different from an SEO audit?

A classic SEO audit optimizes for ranked links: titles, meta, canonicals, internal links, and Core Web Vitals. An AI search audit optimizes for extraction and citation: whether a model can lift a self-contained answer from your page and attribute it to you. IMVASA Audit Tool runs both in one pass.

Which AI engines does the audit model?

The checks are engine-agnostic but map to how ChatGPT Search, Perplexity, Google AI Overviews, Gemini, and Claude retrieve and cite pages: crawlability for their user agents, chunk-level answer quality, and verifiable entity and source signals.

Is the AI search audit free?

Yes. Every check runs free, with no signup, and each report gets a public shareable link.

What is llms.txt and why is it checked?

An llms.txt file is a markdown file placed at your domain root that gives AI crawlers and agents a structured summary of your site and documentation. It ensures AI answer engines don't miss key resources or ingest raw noise.

Can I connect this audit to ChatGPT or Claude via MCP?

Yes. IMVASA provides a public Model Context Protocol server at https://seoaudit.imvasa.dev/mcp so your AI agent or IDE can execute SEO and GEO audits programmatically with zero setup keys.

AI search and GEO visibility review handled for you

Want me to optimize your site for AI search?

Send your website and email. I will review how ChatGPT, Perplexity, and Google AI Overviews see your brand, identify what is holding back your citations, and tell you what I would fix first. No sales sequence.

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