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f2.ai
SUMMER 2025

f2.ai

Moderate AI visibility with 33 of 48 criteria passing. Biggest gap: llms.txt file.

Developer Tools & InfrastructureAI & ML Platforms
64/100
9 since v1
D
Citation Avg
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
7/10
Trust & Authority
~15% weight
6/10
Technical Foundation
~10% weight
6/10
AI Discovery
~10% weight
6/10

Verdict

Moderate AEO readiness at 64/100 with significant gaps to address. Key strengths include Schema.org Structured Data, Content Freshness Signals, and Fact & Data Density. Priority gaps: llms.txt File, RSS/Atom Feed, and Content Licensing & AI Permissions.

How to Improve

Current
64/100
Projected
86/100
36Total Fixes
7Quick Wins
~56hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersLink orphan pages into site navigationAdd ai.txt and content licensingAdd visible date signalsPackage evidence for AI enginesReduce extraction friction
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Configure robots.txt for AI crawlers
high|trivial
Add internationalization signals
critical|medium
Fix HTML structure and meta tags
low|low
Improve server response efficiency
medium|low
Reduce render-blocking resources
medium|low
Reduce document weight
low|low
Create complete sitemap.xml
low|low

Top Opportunities10

Ensure blog content consistently covers your core expertise areas rather than scattering across unrelated topics. AI engines build authority models - a site about "Medicare coverage" that also publishes about humidifiers and groceries dilutes its topical authority.

Include "our analysis", "our data", "our testing" phrases backed by original research or proprietary data. 52.2% of AI-cited posts contain owned data signals.

Add more proper nouns throughout content - named sources, organizations, tools, studies, and locations. Cited text averages 20.6% proper nouns; most sites fall well below 15%.

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.

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

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.

Show direct use, testing, implementation, or lived experience with concrete observations, examples, screenshots, and lessons learned.

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

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

Shorten sentences to under 25 words, use active voice in lead paragraphs, define jargon inline, and avoid hiding content behind accordions or display:none.

Fix It With AI41

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Site Pages

f2.ai/blogD44
Blog | F2
f2.ai/case-studies/how-revtek-capital-screens-dealsD44
How RevTek Capital screens deals 50% faster with F2 — F2 Case Study
f2.ai/commercial-bankingD41
F2 | The AI Platform for Commercial Banking
Changes since v1Last audited 76 days ago
55
64
+9
View full comparison →
Focus Content on Core TopicsAdd Owned Data SignalsIncrease Entity DensityAdd Answer Capsule PatternsPackage Evidence for AIBuild Comprehensive FAQ SectionAdd First-Hand Experience SignalsAdd Direct Answer ParagraphsImprove Question-Answer AlignmentReduce Extraction Friction

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