Technical SEO findings
- Canonical URL is missing.
- Meta description is missing.
- A clear H1 is missing.
- No structured data was detected.
Sample report
This illustrative report shows how AIBrandCheck turns buyer questions, competitor signals, supporting evidence, and technical gaps into an action plan. Data is fictional and not a live AI result.
Run your free scanAI Recommendation Landscape
A concise view of how clearly the brand is supported for buyer-intent questions.
Buyer Search Matrix
Question-by-question visibility states, competitor signals, and evidence counts.
Competitor Intelligence
Patterns that make competing brands easier to understand and compare.
Source Gaps
Supporting evidence and discoverability areas that need clearer coverage.
Technical SEO
Indexability, metadata, internal linking, and crawlable service content.
Schema / Entity Clarity
Accurate structured context for the organization, services, and market.
Content Fixes
Practical changes to buyer questions, comparisons, proof, and conversion paths.
30-Day Plan
A focused sequence for turning findings into implementation work.
ILLUSTRATIVE SAMPLE — NOT A REAL CUSTOMER AUDIT
https://northstardental.example
The buyer-search question
When a customer asks who to choose, how strongly is Northstar Dental · Austin, TX supported?
This audit maps observable brand clarity, supporting sources, commercial content, technical SEO, and structured data. It does not claim to directly query an AI engine.
AI Visibility Score
42
High opportunity
Website Readiness
58/100
Commercial Readiness
31/100
Buyer intent checks
0 checks
Competitor intelligence
Not enough evidence to compare competitors.
Source gaps
Supporting third-party sources were not captured for this audit, so source-gap analysis is limited.
Technical SEO findings
Schema / entity
Use Organization and the most specific accurate business schema.. Do not add schema for services or locations that the website does not actually support.
30-day plan
Week 1
Add a canonical URL and implement appropriate structured data.
Week 2
Add accurate organization, local business, and service schema.
Week 3
Publish helpful buyer questions, comparison content, and proof pages.
Week 4
Validate indexing, sources, internal links, and priority prompts.