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firstround.com

firstround.com

Moderate AI visibility with 30 of 48 criteria passing. Biggest gap: llms.txt file.

Venture Capital & AcceleratorsVC Firms
57/100
1 since v1
D
Citation Avg
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
6/10
Trust & Authority
~15% weight
5/10
Technical Foundation
~10% weight
6/10
AI Discovery
~10% weight
5/10

Verdict

Below-average AEO readiness at 57/100 - multiple areas need attention. Key strengths include Q&A Content Format, Clean, Crawlable HTML, and Answer-First Placement. Priority gaps: llms.txt File, Schema.org Structured Data, and RSS/Atom Feed.

How to Improve

Current
57/100
Projected
82/100
42Total Fixes
10Quick Wins
~74hEst. Effort
Quick Wins
Create /llms.txt fileLink orphan pages into site navigationAdd ai.txt and content licensingEnhance author and expert schemaFix canonical URL strategyImprove query-answer alignmentAdd first-hand experience signalsMake content creators clearly visibleReduce extraction frictionReduce document weight
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Reduce document weight
high|low
Fix canonical URL strategy
critical|low
Configure robots.txt for AI crawlers
medium|trivial
Add internationalization signals
critical|medium
Improve server response efficiency
medium|low
Reduce render-blocking resources
medium|low
Create complete sitemap.xml
low|low

Top Opportunities10

Publish original research, statistics, case studies, or proprietary data that AI engines can cite. Unique data points make your content a primary source rather than a derivative one.

Write concise, standalone answer paragraphs (2-3 sentences) immediately after question headings. These "snippet-ready" paragraphs are ideal for AI engine citations.

Write 20-25 word self-contained answer sentences immediately after each H2 heading. 72.4% of AI-cited posts use this pattern - it gives engines a ready-made snippet to quote.

Ensure every question-format heading (H2/H3) is followed by a direct answer paragraph. This pattern is ideal for AI engine snippet extraction.

Expand articles to 1000+ words with structured H2/H3 sections, comparison tables, and expert analysis. Thin content (under 300 words) is rarely cited by AI engines. Deep, well-structured articles demonstrate expertise.

Create a dedicated FAQ page with FAQPage schema markup. Cover common questions about your products, services, and industry to become a direct answer source for AI engines.

Implement JSON-LD structured data (Organization, Service, Product, FAQPage) on key pages. Schema markup helps AI engines extract and cite your content accurately.

Add Organization schema with consistent name, address, phone (NAP). Include sameAs links to social profiles and authoritative directories to strengthen entity recognition.

Use HTML tables for comparison data and ordered/unordered lists for features, steps, and specifications. Structured data formats are directly extractable by AI engines for answers.

Add inline citations to external sources, "According to [Source]..." attribution phrases, and a Sources section at the end of key articles.

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Site Pages

www.firstround.com/how-we-workD45
How We Work | First Round
Changes since v1Last audited 70 days ago
58
57
-1
View full comparison →
Add Original Data & Case StudiesAdd Direct Answer ParagraphsAdd Answer Capsule PatternsImprove Question-Answer AlignmentIncrease Content DepthBuild Comprehensive FAQ SectionAdd Schema.org Structured DataStrengthen Entity Authority (NAP)Add Structured Tables & ListsPackage Evidence for AI

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