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onlook.com
WINTER 2025

onlook.com

Weak AI visibility with 15 of 48 criteria passing. Biggest gap: llms.txt file.

Developer Tools & InfrastructureDeveloper Platforms
40/100
1 since v2
F
Citation Avg
Answer Readiness
~40% weight
6/10
Content Structure
~25% weight
3/10
Trust & Authority
~15% weight
2/10
Technical Foundation
~10% weight
4/10
AI Discovery
~10% weight
3/10

Verdict

Critical AEO gaps at 40/100 - onlook.com is largely invisible to AI engines. Key strengths include Content Cannibalization, Content Depth, and Duplicate Content Blocks. Priority gaps: llms.txt File, Schema.org Structured Data, and Original Data & Expert Analysis.

How to Improve

Current
40/100
Projected
78/100
39Total Fixes
12Quick Wins
~78hEst. Effort
Quick Wins
Create /llms.txt fileFix HTML structure and meta tagsConfigure robots.txt for AI crawlersAdd direct answer paragraphsAdd ai.txt and content licensingAdd visible date signalsFocus blog content on core expertiseMake pages solve the user task fasterReduce extraction frictionFix duplicate content blocksEliminate cross-page duplicate contentImprove server response efficiency
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Fix HTML structure and meta tags
high|low
Configure robots.txt for AI crawlers
critical|low
Add internationalization signals
critical|medium
Improve server response efficiency
high|low
Reduce document weight
medium|low
Create complete sitemap.xml
low|low
Reduce render-blocking resources
medium|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.

Add specific numbers, percentages, statistics, and data points throughout your content. Fact-dense content gives AI engines concrete data to cite rather than vague claims.

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.

Add question-based headings (H2/H3) throughout your content. Use "What is...", "How does...", "Why should..." patterns that match how users query AI assistants.

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.

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.

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 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.

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Site Pages

www.onlook.com/workflowsF27
www.onlook.com/site-mapF24
www.onlook.com/workflows/claude-codeF27
www.onlook.com/workflows/vibe-codingF26
Changes since v2Last audited 52 days ago
39
40
+1
View full comparison →
Add Original Data & Case StudiesIncrease Fact & Data DensityAdd Direct Answer ParagraphsImprove Question-Answer AlignmentRestructure Content as Q&AImprove Internal Linking ArchitectureAdd Structured Tables & ListsAdd Owned Data SignalsStrengthen Entity Authority (NAP)Add Content Freshness Signals

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