Services

ChatGPT Visibility Audit

A ChatGPT visibility audit from 10xSearch shows whether your business appears in AI search recommendations and what content, proof, and entity signals are missing.

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What this page answers
  • ChatGPT visibility audit
  • why ChatGPT does not recommend my business

A ChatGPT Visibility Audit is a structured assessment of why ChatGPT does or does not currently cite your brand. We pull the brand through dozens of category-specific prompts inside ChatGPT, capture the named brands and their structural patterns, and report back on the specific gaps in your page-level, entity-level, and Bing-index footprint that are gating citation.

What a ChatGPT Visibility Audit Measures

Where the brand currently appears across the brand's primary and secondary queries inside ChatGPT, plus the queries competitors are winning that the brand is missing.

Which structural patterns the cited brands share: schema depth, content geometry, Bing index presence, third-party citation footprint, publishing cadence.

Specific entity-resolution issues blocking the brand from making the citation short list: NAP inconsistency, missing Knowledge Graph entry, brand-name ambiguity, thin or absent Person and Organization schema.

  • Brand Recognition
  • Category Association
  • Local Recommendation Strength

Why ChatGPT May Not Recommend You

Client-side rendering. The body content needs JavaScript to display and ChatGPT's crawlers do not reliably execute it.

Missing schema. No Article, FAQPage, Person, or BreadcrumbList. The model has nothing structured to lean on.

No Bing index entry. ChatGPT grounds heavily on Bing. A brand not in Bing is invisible to ChatGPT regardless of Google ranking.

Inconsistent identity across the web. NAP mismatches, multiple brand-name spellings, no verified third-party presence. The model cannot resolve the entity confidently.

No publishing cadence. The model interprets ongoing publishing as ongoing expertise; silence reads as inactivity.

  • Weak Entity Clarity
  • Missing Public Proof
  • Insufficient Structured Content

Prompt Testing Categories

Direct brand prompts: 'Tell me about Brand X'. Tests whether the model resolves the brand entity correctly and describes it accurately.

Category prompts: 'Best agent in market X', 'top realtor for X neighborhood'. Tests whether the brand is in the citation pool for high-intent queries.

Comparison prompts: 'Brand X vs Brand Y'. Tests how the model frames the brand against named competitors.

Diligence prompts: 'Is Brand X a good choice for X', 'reviews for Brand X'. Tests the model's grasp of trust signals around the brand.

  • Best Provider Prompts
  • Local Expert Prompts
  • Comparison Prompts

What 10xSearch Reviews

Page-level technical health (rendering, schema, vitals). Bing Webmaster Tools registration status. Knowledge Graph entry. Third-party citation NAP consistency. Publishing cadence. Brand-name disambiguation. Schema graph coherence.

Each gap is logged with a fix and a rough effort estimate. The audit doubles as a 60-day work plan.

  • Website Content
  • Third-Party Mentions
  • Search Result Corroboration

What Happens After the Audit

You leave with a written summary documenting where the gaps are, which would close the most citation share, and how the work would sequence over the first 60 days.

If a 10xSearch engagement is the right fit we scope it in the same call. If something simpler would solve the problem we say that too.

  • Visibility Gap Report
  • Page Architecture Recommendations
  • Execution Roadmap
Next step

Want this engineered for your business?

Book a 20-minute working session. Live AI visibility check across Google, Google Maps, ChatGPT, Perplexity, Gemini, and Google AI Overviews, with a written summary you can act on.