AI search visibility report · 2026-10-12
How AI assistants see avc.com
avc.com has an AI visibility score of 66/100. The site passed 22 of 34 tests. Its strongest areas are Readability and Technical Accessibility. The areas to improve are Authority & Trust Signals and Entity Definition.
How ChatGPT, Claude and Perplexity read avc.com
Readability100/100
Result: strong. 4 of 4 tests passed.
Content is highly readable and uses clear, concise language suitable for LLMs.
Schema.org Markup62/100
Result: average. 4 of 5 tests passed.
Basic JSON-LD is present but lacks content-specific schemas like BlogPosting.
Authority & Trust Signals50/100
Result: weak. 2 of 5 tests passed.
Strong publication history but lacks critical contact and credential schema.
Citation & Source Quality75/100
Result: average. 3 of 4 tests passed.
Excellent use of inline citations, though lacks links to high-authority institutional domains.
Content Freshness60/100
Result: average. 2 of 4 tests passed.
The site has not been updated in over two years, which is a negative signal for LLMs.
Content Structure61/100
Result: average. 2 of 4 tests passed.
Paragraphs are well-formed, but the lack of H1s and sections hinders structural parsing.
Entity Definition60/100
Result: average. 2 of 4 tests passed.
The 'About' page exists, but the lack of Person and Organization schema limits entity clarity.
Technical Accessibility80/100
Result: strong. 3 of 4 tests passed.
Excellent crawler access and JS independence, but meta descriptions are insufficient.
How avc.com can improve its AI visibility
- Fix Heading Hierarchy (high priority)
- Add Contact Information (high priority)
- Implement Content Schemas (high priority)
- Optimize Meta Description (medium priority)
- Define Author Entity (medium priority)
How avc.com compares to its competitors
- Both Sides of the Table (bothsidesofthetable.com)
- Chris Dixon Blog (cdixon.org)
- Feld Thoughts (feld.com)
- StrictlyVC (strictlyvc.com)