SEO & GEO

GEO audit checklist: can AI search cite your site?

A practical checklist for AI-readable content, entities, schema, internal links, and proof.

Ingmar van Maurik17 min read

In short

A GEO audit checks whether AI systems can understand who you are, what you offer, where proof lives, and which pages answer specific questions. The core signals are direct answers, structured headings, schema, internal links, author signals, and fresh supporting content.

Why this matters: A practical checklist for AI-readable content, entities, schema, internal links, and proof.

What to do next

  • 1Check direct answers on key pages.
  • 2Validate schema and canonical tags.
  • 3Map internal links by topic.
  • 4Add proof, author, and source signals.

What to look at first

AI search needs extractable answers and clear entity relationships, not just keywords.

  • Check direct answers on key pages.
  • Validate schema and canonical tags.
  • Map internal links by topic.
  • Add proof, author, and source signals.

What the result should be

The audit should produce a short list of pages to improve first, ranked by commercial intent and crawl value.

Start with crawl access, indexation and canonical choices

Crawl the site and group status codes, canonicals, robots rules, sitemap entries and hreflang. Inspect critical routes in Search Console. Distinguish intended redirects and valid alternate canonicals from errors that block a primary page. Fix templates and routing before rewriting copy; improving content on the wrong canonical wastes effort.

  • Status 200 for every intended index page.
  • One self-canonical for each locale route.
  • Sitemap without redirects, parameters or noindex URLs.
  • Reciprocal hreflang between live equivalents.
  • No key content dependent on client-only rendering.

Test whether each page answers one question independently

Read title, introduction and headings without navigation context. Is it obvious what the page answers, for whom and under which conditions? Definitions, steps, comparisons and risks should exist in extractable text. Avoid a generic introduction followed by repetition. A long page is not automatically useful; relevant structure and specific information matter more than a word target.

  • Direct answer close to the main question.
  • Headings covering logical follow-up needs.
  • Concrete examples, criteria and exceptions.
  • Tables or lists only where they improve comprehension.
  • Distinct value from other pages on the same site.

Check entities, authorship and evidence

Map company, people, offices, services and cases and check names and relationships for consistency. Confirm articles have a genuine author or reviewer and commercial claims are supported by sources, cases or explainable experience. Compare visible information with Organization, Person, Service and Article schema. Fabricated or unverified properties are risks, not optimisation opportunities.

  • Verifiable company and contact information.
  • Author with relevant profile and accountability.
  • Claims tied to a source or delivery evidence.
  • Schema describing the same visible facts.
  • Official external profiles with consistent identity.

Review topic architecture and internal routes

For each priority subject, identify the pillar, supporting guides, services and cases. Find orphan pages, competing URLs and clusters with no commercial next step. Internal links should help visitors continue and expose relationships to crawlers. Prefer contextual anchors to the strongest canonical destination over large blocks of generic links.

  • One primary destination per search intention.
  • Support content around genuine follow-up questions.
  • Path from guidance to relevant service or case.
  • Breadcrumb and related content without loops.
  • Merge weak overlapping pages.

Deliver a prioritised backlog rather than a long checklist

Score findings by commercial value, organic opportunity, severity, effort and dependency. Separate template defects from page work and quick corrections from editorial projects. Give every task an owner, acceptance criterion and measurement plan. Choose a first sprint that improves indexation and a small number of important pages, then rerun the same sample.

  • P0 for crawl, indexation or safety blockers.
  • P1 for core pages with clear demand and opportunity.
  • P2 for cluster coverage and stronger evidence.
  • Acceptance criteria tied to a URL and outcome.
  • Repeat crawl, content and data checks after release.

Written and reviewed by

Ingmar van Maurik

Founder, AI JOB TEAM

Builds practical AI, automation, and custom software systems for growing companies that need less tool sprawl and more ownership.

Editorial note

Written for decisions, not generic search traffic

AI JOB TEAM uses AI-assisted drafting for research structure and coverage checks. Ingmar van Maurik reviews the positioning, examples, and final recommendations so every article stays practical for growing companies.

Industry applications

See how this topic translates into a concrete workflow for a specific business type.

FAQ

Where should a growing company start?

Start with one workflow where volume, cost, or customer impact is already visible. That keeps scope small and learning fast.

When is this worth a deeper roadmap?

It is worth a roadmap when the topic touches multiple teams, systems, or recurring decisions.

Can a GEO audit be fully automated?

Tools can find crawl, schema and pattern issues. Answer quality, evidence, positioning and fluency need human assessment.

How many pages should be audited?

Cover every template and critical route, then take a representative sample by content type and locale.

What is the main deliverable?

A short backlog with priorities, owners and measurable acceptance criteria, not a large report without decisions.

Next step

Check whether AI search can cite you

Use the Quick Scan to find gaps in content structure, entity signals, internal links, and AI-readable proof.

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