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traceloop.com
WINTER 2023

traceloop.com

Moderate AI visibility with 27 of 48 criteria passing. Biggest gap: llms.txt file.

Developer Tools & InfrastructureDeveloper Platforms
57/100
F
Citation Avg
Answer Readiness
~40% weight
8/10
Content Structure
~25% weight
6/10
Trust & Authority
~15% weight
5/10
Technical Foundation
~10% weight
6/10
AI Discovery
~10% weight
3/10

Verdict

Below-average AEO readiness at 57/100 - multiple areas need attention. Key strengths include Fact & Data Density, Duplicate Content Blocks, and Cross-Page Duplicate Content. Priority gaps: llms.txt File, Comprehensive FAQ Section, and RSS/Atom Feed.

How to Improve

Current
57/100
Projected
79/100
42Total Fixes
14Quick Wins
~87hEst. Effort
Quick Wins
Create /llms.txt fileAdd question-based headingsStrengthen entity authority (NAP)Configure robots.txt for AI crawlersLink orphan pages into site navigationAdd structured tables and listsAdd ai.txt and content licensingEnhance author and expert schemaFix canonical URL strategyImprove query-answer alignmentAdd visible date signalsIncrease content depth and structureMake pages solve the user task fasterReduce 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
Fix canonical URL strategy
critical|low
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

Top Opportunities10

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.

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

Write self-contained definition sentences and single-claim statements that AI engines can quote directly. Avoid pronouns like "this" or "that" at the start of answer paragraphs.

Define the primary entity in the first 500 characters, use consistent terminology (same term 70%+), and add "unlike X" signals to help AI engines distinguish your topics.

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.

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.

Rewrite multi-clause sentences into single-claim statements under 20 words. Pages with Flesch-Kincaid grade 16 outperform grade 19 in citation rates.

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

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

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traceloop.com/blogF33
Blog | Traceloop - LLM Application Observability

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