AI Visibility Audit

AI Visibility Audit

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Introduction:AI Visibility Audit: check your site's AI readiness.

Add on:9/30/2026

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Category:SEO
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Introduction

AI Visibility Audit: check your site's AI readiness.


What is AI Visibility Audit?

AI Visibility Audit is a free tool from INITE that checks whether AI assistants can reach, identify, and quote a website. It focuses on AI search visibility, not traditional search ranking alone. A page can rank first in Google and still be invisible to ChatGPT, Claude, or Perplexity if robots.txt blocks the wrong crawler or the site does not clearly identify its business entity.

The AI Visibility Audit reads a live site the way AI answer engines do. It starts with the crawler policy, then reviews AI identity files, the Schema.org graph, and page signals. It also runs a citation test across four engines: Claude, ChatGPT, Gemini, and Perplexity. The result is an AI visibility score out of 100, built from eight weighted sections. These include AI Share of Voice, Retrieval Readiness, Search Presence, AI Identity & Crawlability, Technical & Performance, AI Sentiment, Mention Position, and Competitor Gap.

This AI visibility audit solves a specific problem: many teams optimize for search engines but never check whether AI systems can retrieve their content. It is suitable for SEO specialists, founders, marketers, developers, and agencies. It matters because AI assistants now answer billions of queries, and if a site is blocked or unclear, the brand may be absent from those answers.

Key Features of AI Visibility Audit

AI Crawler Policy Check

AI Visibility Audit reviews 15 bots, including GPTBot, ClaudeBot, PerplexityBot, OAI-SearchBot, and Bingbot. It shows whether AI crawlers are allowed to fetch pages used in answers. This makes AI crawler policy a first-step check.

AI Identity File Review

AI Visibility Audit scans files such as llms.txt, ai.json, ai.txt, identity.json, llm.txt, brand.txt, and robots.txt. These files help AI assistants resolve which company owns the site.

AI Citation Audit

AI Visibility Audit asks live models what they say about a brand. This AI citation audit checks who gets named, how often, and whether URLs are cited. It covers ChatGPT, Claude, Gemini, and Perplexity in one run.

Schema.org Markup Check

AI Visibility Audit reviews Schema.org structured data and the entity graph. Clear markup helps AI models understand services, products, and business relationships.

Technical SEO and Page Signals

AI Visibility Audit checks canonical URLs, hreflang, meta descriptions, Open Graph tags, Core Web Vitals, Lighthouse scores, and mobile readiness. These signals support both search presence and AI search visibility.

Score and Action Plan

AI Visibility Audit produces a score out of 100 and a prioritized action plan. The full run includes files to paste, not just advice to read.

MCP Server Access

AI Visibility Audit works as an MCP server. Claude, Cursor, or another protocol client can run it mid-conversation. Installation uses npx -y @inite/visibility.

Use Cases for AI Visibility Audit

Checking AI Search Visibility Before Optimization

Use AI Visibility Audit to see if AI assistants can find and cite a site. It reveals gaps in AI search visibility before larger campaigns begin.

Diagnosing Low AI Mentions

When ChatGPT, Claude, or Perplexity does not name a brand, AI Visibility Audit separates crawl issues from identity and citation issues. This prevents guesswork.

Preparing for AI Search Optimization

Run AI Visibility Audit before AI search optimization work. It provides a baseline score and priority fixes for llms.txt, ai.json, Schema.org, and robots.txt.

Auditing Client Websites

Agencies and consultants can run AI Visibility Audit for prospects. It gives objective third-party data for visibility conversations.

Monitoring Site Changes

After updating identity files or crawler rules, teams can re-run AI Visibility Audit. The same checks and prompt set help show whether changes moved the score.

How to Use AI Visibility Audit

  1. Open the AI Visibility Audit page at https://inite.ai/en/analyze.
  2. Enter the website URL you want AI Visibility Audit to check.
  3. Run the free AI Visibility Audit. It usually takes about 60 seconds.
  4. Read the AI Visibility Audit report for crawler policy, identity files, page signals, and citation readiness.
  5. Sign in for the full AI Visibility Audit and AI visibility score. Optionally install the MCP server with npx -y @inite/visibility.
  6. Apply the AI Visibility Audit fixes, then re-audit on the same prompt set.

Target Audience for AI Visibility Audit

  • SEO specialists and AI search optimization teams
  • Website owners and startup founders
  • Marketing and content teams
  • Web developers and technical SEO consultants
  • Agencies managing client visibility
  • Product teams preparing for AI-driven discovery

Is AI Visibility Audit Free?

The AI Visibility Audit has a free entry option. It allows about two runs a day without a card or account, and the report appears on screen when finished. Some full audit features and the score may require sign-in. INITE also offers a paid visibility engagement for $1,500 over 1–2 weeks, with opening and closing audits against the same checks.

PlanPriceFeatures
Free preview$0Core checks, about two runs a day, no card or account, on-screen report
Full audit / engagement$1,500Full audit, score, action plan, schema, llms.txt, outreach, 1–2 weeks, re-audited at end

Pricing details can change. Check the official INITE page for current information.

AI Visibility Audit's Pros and Cons

AspectProsCons
PricingFree entry tool; paid engagement is clear at $1,500Full remediation is paid
FeaturesChecks AI crawler policy, identity files, Schema.org, and citationsReads only your site, not external mentions or links
SpeedAbout 60 seconds for a free runFull audit and score may require sign-in
AudienceUseful for SEOs, founders, developers, and agenciesLess useful for sites with no web presence
IntegrationMCP server works with Claude, Cursor, and similar clientsNeeds some technical familiarity

Frequently Asked Questions about AI Visibility Audit

What is an AI visibility audit?

An AI visibility audit checks whether AI assistants can reach, identify, and quote a website. It is different from traditional search ranking because a page can rank well and still be invisible to ChatGPT, Claude, or Perplexity.

What does AI Visibility Audit check?

The AI Visibility Audit checks crawler policy for GPTBot, ClaudeBot, and PerplexityBot; AI identity files like llms.txt and ai.json; Schema.org markup; canonical and hreflang tags; Open Graph tags; Core Web Vitals; and a citation test across live models.

How long does AI Visibility Audit take, and is it free?

A free run usually takes about 60 seconds. The free entry option allows about two runs a day without a card or account. The full audit and score may require sign-in.

Does AI Visibility Audit work for ChatGPT, Claude, and Perplexity?

Yes. AI Visibility Audit asks four engines: Claude, ChatGPT, Gemini, and Perplexity. It reports who names the brand, how often, and whether the site is cited. One engine may not return URLs, so the tool treats that as a measurement limit rather than a zero.

Can I run AI Visibility Audit from an AI agent?

Yes. AI Visibility Audit is available as an MCP server. Claude, Cursor, or another compatible client can run it mid-conversation. The install command is npx -y @inite/visibility.

What should I do after the AI Visibility Audit?

Read the findings and fix the named files or pages. Common tasks include updating robots.txt, adding llms.txt or ai.json, improving Schema.org markup, and re-running the audit after changes. Larger work can be handled through the paid visibility engagement.

AI Visibility Audit Tags

AI Visibility Audit, AI search visibility, AI visibility checker, AI visibility score, AI citation audit, AI crawler policy, llms.txt, ai.json, robots.txt, Schema.org, ChatGPT visibility, Perplexity visibility, AI search optimization

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