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Most SEO tools tell you how you rank in Google. This one tells you whether AI recommends you at all.

Key takeaways

  • This AI SEO audit checks 5 signals that determine whether AI platforms cite your brand: LLMs.txt, structured data, AI crawler access, content answer-density, and authority signals.
  • Standard SEO audits miss these checks entirely. A site that ranks page 1 on Google can still be invisible in ChatGPT and Perplexity answers.
  • 90% of B2B buyers consult AI before purchase decisions. If your audit score is low, your brand is invisible at the moment buyers are actively deciding.
  • The audit is free, runs on any public URL, and requires no account. Most teams find 3-5 fixable issues within the first minute.
  • Fixing citation-readiness issues typically improves AI visibility within 2-4 weeks, once AI crawlers re-index the updated pages.

How an AI SEO Audit Differs from a Regular SEO Audit

Regular SEO audits were built for Google's ranking algorithm: keyword density, backlink profile, page speed, Core Web Vitals. Those signals matter for ranking in a list of ten links. AI search doesn't work that way.

When a buyer asks ChatGPT "which CRM is best for a remote sales team of 20?", ChatGPT doesn't return a list of links. It names three to five brands and explains why. The signals that drive citation selection are different from the signals that drive ranking: structured content, schema markup, LLMs.txt, AI crawler access, and third-party authority across sources AI trusts.

A brand with a 40 domain authority but properly structured content can appear in ChatGPT answers ahead of a DR 80 competitor that hasn't optimized for AI extraction. The RankZero AI SEO audit checks the signals that matter for this channel, not the ones built for the last decade of search.

For SaaS companies, this gap is especially costly. Only three to five brands get cited per AI response to a software recommendation query. If your AI SEO audit score is low, competitors with higher citation-readiness are filling those slots while your brand is invisible at the moment of highest buying intent. See how AI search affects SaaS brands or book a free 30-minute AI search audit call to see your current citation share against your top competitors.

What This AI SEO Audit Checks

A standard SEO audit checks your page title, meta description, and backlink count. An AI SEO audit checks something different: whether the systems powering ChatGPT, Perplexity, and Google AI Overviews can parse your content, trust your source, and cite you as an answer. The audit evaluates five areas.

LLMs.txt presence and structure

LLMs.txt is a structured file, similar to robots.txt, that tells AI crawlers what your site is about and which pages matter. Without it, AI systems have to infer your site's purpose from unstructured content. If yours is missing or malformed, the audit flags it and links to the free LLMs.txt generator to fix it in under 60 seconds.

Structured data and schema markup

FAQPage, Article, and SoftwareApplication schema tell AI systems how your content is structured. A page with valid FAQPage schema gives AI a machine-readable list of questions and answers it can extract directly. The audit checks for schema presence, validates your implementation, and flags the errors most likely to make content invisible to AI. Check your own schema now with the structured data validator.

AI crawler permissions

OAI-SearchBot powers ChatGPT's live web retrieval, ClaudeBot powers Anthropic's Claude, and PerplexityBot powers Perplexity. If your robots.txt blocks any of these crawlers, your site is invisible to those platforms regardless of content quality. The audit reads your robots.txt, flags any blocked AI crawlers, and tells you exactly what to change.

Content answer-density

AI systems prefer content structured around direct answers: H2 sections that open with a clear claim, FAQ blocks, numbered lists, and short explanatory paragraphs. Dense narrative paragraphs that bury the answer are harder for AI to extract as citation-worthy snippets. The audit scores your content's answer structure and flags sections where restructuring would increase citation probability.

Authority signals

Named authors with verifiable credentials, external source citations, and visible last-updated dates all signal trustworthiness to AI evaluation systems. Generic bylines, missing dates, and pages that make claims without sources are systematically less likely to be cited. The audit checks these signals and ranks fixes by expected impact.

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How to Improve Your AI SEO Score

1

Run the Audit

Identify missing elements in your AI SEO strategy

2

Fix Critical Issues

Start with SSL, page speed, and meta tags

3

Add AI Optimization

Create an llms.txt file and allow AI crawlers

4

Improve Content

Ensure adequate word count and proper structure

5

Monitor Performance

Track how AI recommends your site over time

Questions, answered

The things teams ask us before getting started.

An AI SEO audit evaluates whether AI platforms like ChatGPT, Perplexity, and Google AI Overviews can find, understand, and recommend your brand. It checks AI-specific signals including LLMs.txt configuration, structured data for AI extraction, AI crawler permissions, content answer-density, and authority signals, and outputs a citation-readiness score with a prioritized fix list.

Still have questions? Schedule a demo call with Johannes

Start Tracking Your AI Visibility

The free AI SEO audit shows you where you stand right now. For ongoing monitoring of your brand across ChatGPT, Perplexity, Google AI Overviews, and other AI platforms, prompt-level tracking, and competitor benchmarking, start a 7-day free trial. No credit card required.