What a GEO audit includes
A GEO audit establishes how a company appears across defined AI-assisted buying questions and explains the evidence gaps behind that result. It combines prompt observations with a review of the public website, entities, structured data, content architecture and supporting sources. The audit is not a generic SEO export or a promise of placement. Every finding is connected to a page, signal or implementation decision.
- AI visibility baseline
- Technical crawl review
- Entity and schema review
- Content and citation gap map
Buyer prompt categories
We select a focused prompt set around the company’s real market and buyer journey. Typical groups cover category discovery, problem-aware research, vendor shortlists, alternatives, direct comparisons, industry fit and implementation questions. For each observation we record brands mentioned, recommendation context, linked citations, source domains and inaccuracies. This baseline shows where competitors have stronger retrievable evidence.
- Category and problem prompts
- Best-vendor and shortlist prompts
- Alternative and versus prompts
- Use-case and implementation prompts
Technical review
The technical pass checks whether important pages return the right status, render meaningful HTML and expose consistent canonical URLs. We inspect robots.txt, sitemap coverage, noindex rules, redirects, duplicate variants, internal-link depth and mobile-accessible content. We also review llms.txt files when present. Critical definitions should not depend on interactions or scripts that a crawler may not execute.
- Status, rendering and canonicals
- robots.txt and crawler policy
- Sitemap and orphan-page coverage
- Structured data syntax
Entity review
We compare the company name, category, offer, founders and canonical domain across the website and relevant official profiles. Organization, Person, Service, Product and Offer markup is checked against visible content and stable identifiers. Conflicting descriptions, outdated positioning, duplicate organization objects and unsupported schema claims are flagged because they make accurate machine interpretation harder rather than stronger.
- Organization and founder consistency
- Service and product definitions
- Canonical IDs and sameAs links
- Visible content versus JSON-LD
Content and source review
The content review maps current pages to buyer questions. We look for missing category definitions, thin service explanations, weak use-case evidence, absent comparison coverage and passages that cannot stand alone when retrieved. We also inventory the sources answer engines cite for target prompts. The objective is not volume; it is a small set of authoritative pages and corroborating references that close observed gaps.
- Service and use-case depth
- Comparison and alternative gaps
- Internal linking
- Cited third-party source inventory
Audit deliverables
Clients receive a documented baseline, issue inventory, supporting examples and prioritized roadmap. Findings are grouped by technical, entity, content and off-site evidence layers, with impact and implementation notes for founders, marketers and developers. The roadmap identifies dependencies and a practical first sprint. It also defines which prompts and metrics should be checked after changes have been published and recrawled.
- Prompt-level baseline
- Evidence-backed findings
- Prioritized 14-day roadmap
- Measurement and retest plan
Why the $500 audit is a useful first step
The one-time $500 audit is designed for companies that need clarity before committing to a larger implementation. It replaces broad speculation with a bounded review of the market, site and evidence system. Teams can implement the roadmap internally, ask InTheMind AI to scope a sprint, or use the findings to improve an existing SEO and content program. There is no required ongoing contract.
- Fixed starting scope
- Actionable across teams
- No invented visibility promise
- No required retainer
What to fix first
Most roadmaps begin with access and consistency: blocked pages, broken rendering, duplicate canonicals, invalid schema or contradictory company descriptions. The next priority is high-intent evidence, usually a strong service, use-case or fair comparison page for a prompt where competitors repeatedly appear. Lower-value publishing waits until foundational pages can be found, understood and connected through internal links.
- Remove crawl blockers
- Resolve entity contradictions
- Strengthen high-intent pages
- Measure before expanding
