Sample AI SEO audit

SEO for AI Agents

brightsmile-dental.example.com

AI visibility not measured yet.

We have not checked AI engine answers for this site yet. The AI Visibility score below measures how ready your pages are for AI engines, not whether they recommend you.

AI Visibility64/1007 findings across four pillars
Multi-location service businessSample
Homepage readiness score: 68 out of 100. Readiness 68, outcomes not measured yet.

Readiness 68, outcomes not measured yet

1 page crawled

Measures how ready this page is for Google, Bing and AI answer engines. Does not measure rankings, traffic, whether AI engines cite you or real-user page speed.

Not measured: AI engine answers, Real-user page speed (field data)

AI Visibility score: 64 out of 100.
Technical score: 78 out of 100.
Foundational score: 70 out of 100.
Local score: 61 out of 100.

This is a representative report for a local business site, built from illustrative data so you can see the full value before running your own audit. A real audit produces the same shape from your live pages, with a confidence flag and methodology link on every finding.

Synthesis

Executive summary

  • BrightSmile Dental scores 68 overall.
  • Technical is healthy and Foundational is reasonable, but Local is the weak pillar and it is where the patients are.
  • The Google Business Profile primary category is too generic, three of four locations have NAP drift across major citations, and there are no city-specific pages for two of the four service areas.
  • AI surfaces over-cite the large directory sites for "dentist near me" queries, so the move is original local content with a named, credentialed author plus complete LocalBusiness and Dentist schema.
  • Recommended order: fix the GBP categories and NAP this week (high confidence, low cost), then ship the two missing city pages and the local schema, then build review velocity across all locations.

Findings by pillar

In a sample report, every finding is shown. In a real free audit, the top three per pillar are visible inline and the rest unlock with your email.

AI Visibility1 findings

Mediummedium confidenceNeeds action

AI surfaces over-cite directories for "dentist near me"

For local dentistry queries, ChatGPT and Perplexity cite Healthgrades, Yelp, and Zocdoc before any individual practice. BrightSmile appears only when named explicitly.

Recommendation

Publish original local content with a named, credentialed dentist as author (procedures explained, local FAQs), ship Dentist + Person schema, and ensure your profiles on the cited directories are complete and consistent.

Methodology: citation-gap

Technical1 findings

Infohigh confidencePassed

Core Web Vitals pass on all key pages

LCP, INP, and CLS are within the good thresholds in CrUX field data across the homepage and location pages.

Recommendation

No action needed.

Methodology: core-web-vitals

Foundational1 findings

Lowhigh confidenceNeeds action

Two location pages share a duplicate meta description

The Towson and Pikesville pages use the same meta description. While not a ranking factor, duplicates produce weaker snippets and signal templated content.

Recommendation

Write a unique, location-specific meta description for each page that previews what is distinct about that location.

Methodology: meta-description

Local4 findings

Highhigh confidenceNeeds action

NAP drift across 6 citations for 3 of 4 locations

The Towson location lists "Suite 4" on Yelp, "Ste 4" on the BBB, and "#4" on Apple Maps. Local ranking systems can treat these as different businesses, which suppresses local-pack visibility for all three affected locations.

Recommendation

Choose one canonical NAP format per location and update every citation to match exactly. Use a citation-management tool for the bulk cleanup, then re-verify each Google Business Profile.

Methodology: nap-consistency

Highhigh confidenceNeeds action

GBP primary category is "Dentist" instead of a specific service

All four locations use the generic "Dentist" primary category. For high-intent queries like "cosmetic dentist near me" or "emergency dentist", a more specific primary category outranks the generic one in the local pack.

Recommendation

Set each location's primary category to its strongest specialty (for example "Cosmetic Dentist" or "Emergency Dental Service") and add the others as secondary categories.

Methodology: gbp-category

Mediumhigh confidenceNeeds action

No city pages for 2 of 4 served areas

You serve Towson, Pikesville, Columbia, and Ellicott City but only have dedicated pages for the first two. Local intent for the other two cannot rank you above the directory aggregators.

Recommendation

Ship genuinely local pages for Columbia and Ellicott City: neighborhoods served, parking, insurance accepted locally, and real local detail. Avoid templated boilerplate that only swaps the city name.

Methodology: city-pages

Mediumhigh confidenceNeeds action

LocalBusiness schema present but using the generic type

Each location has LocalBusiness JSON-LD, but it uses the generic LocalBusiness type rather than the more specific Dentist type, and it omits geo-coordinates and openingHoursSpecification.

Recommendation

Switch the type to Dentist, add GeoCoordinates and OpeningHoursSpecification per location, and connect each to its Google Business Profile and any Wikidata entry via sameAs.

Methodology: local-business-schema