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vellum.ai
WINTER 2023

vellum.ai

Moderate AI visibility with 34 of 48 criteria passing. Biggest gap: llms.txt file.

Developer Tools & InfrastructureDeveloper Platforms
54/100
8 since v2
F
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
8/10
Trust & Authority
~15% weight
5/10
Technical Foundation
~10% weight
6/10
AI Discovery
~10% weight
7/10

Verdict

Below-average AEO readiness at 54/100 - multiple areas need attention. Key strengths include Q&A Content Format, Table & List Extractability, and Direct Answer Paragraphs. Priority gaps: llms.txt File, RSS/Atom Feed, and Speakable Schema. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

How to Improve

Current
54/100
Projected
83/100
39Total Fixes
7Quick Wins
~74hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersAdd ai.txt and content licensingEnhance author and expert schemaAdd first-hand experience signalsMake content creators clearly visibleReduce 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
Create complete sitemap.xml
medium|low
Add internationalization signals
critical|medium
Fix HTML structure and meta tags
low|low
Improve server response efficiency
medium|low
Reduce render-blocking resources
low|low
Reduce document weight
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.

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.

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.

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.

Strengthen internal linking with descriptive anchor text between related pages. Add breadcrumb navigation and ensure every key page is reachable within 3 clicks from the homepage.

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

Include dateModified schema, visible last-updated dates, and time elements on content pages. Fresh content signals help AI engines prioritize your pages over stale alternatives.

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

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

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

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Site Pages

vellum.ai/best-llm-for-codingF38
Best LLM for Coding - Vellum
vellum.ai/branding-guideF30
Branding Guide - Vellum
vellum.ai/llm-parameters/logit-biasF30
Logit Bias - LLM Parameter Guide - Vellum
Changes since v2Last audited 46 days ago
62
54
-8
View full comparison →
Focus Content on Core TopicsAdd Original Data & Case StudiesBuild Comprehensive FAQ SectionAdd Answer Capsule PatternsImprove Internal Linking ArchitectureStrengthen Entity Authority (NAP)Add Content Freshness SignalsPackage Evidence for AIAdd First-Hand Experience SignalsReduce Extraction Friction

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