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questom.ai
FALL 2025

questom.ai

Moderate AI visibility with 25 of 48 criteria passing. Biggest gap: llms.txt file.

Developer Tools & InfrastructureAI & ML Platforms
54/100
11 since v1
D
Citation Avg
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
4/10
Trust & Authority
~15% weight
5/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
5/10

Verdict

Below-average AEO readiness at 54/100 - multiple areas need attention. Key strengths include Fact & Data Density, Content Cannibalization, and Topic Coherence. Priority gaps: llms.txt File, RSS/Atom Feed, and Content Licensing & AI Permissions.

How to Improve

Current
54/100
Projected
82/100
41Total Fixes
15Quick Wins
~79hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersAdd definition-style contentAdd direct answer paragraphsAdd ai.txt and content licensingFix canonical URL strategyExtend schema to inner pagesAdd visible date signalsMake content creators clearly visibleImprove citation-ready writing qualityAdd answer-first content placementPackage evidence for AI enginesReduce extraction frictionFix duplicate content blocksReduce document weight
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Reduce document weight
high|low
Configure robots.txt for AI crawlers
high|trivial
Fix canonical URL strategy
critical|low
Add internationalization signals
critical|medium
Fix HTML structure and meta tags
low|low
Create complete sitemap.xml
low|low
Improve server response efficiency
medium|low
Reduce render-blocking resources
low|low

Top Opportunities10

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.

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

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.

Sections within pages contain identical or near-identical text. LLMs may flag this as low-quality or thin content, reducing citation authority. Rewrite duplicate blocks with unique angles.

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

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

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.

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 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.

Fix It With AI42

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Site Pages

www.questom.aiD44
Trelium | Build AI Co-Workers
www.questom.ai/privacyF36
Privacy Policy | Trelium
www.questom.ai/termsF37
Terms of Service | Trelium
www.questom.ai/pricingD47
Pricing | Trelium
www.questom.ai/blogF35
Blog - Trelium
www.questom.ai/aboutD46
About | Trelium
www.questom.ai/enterpriseF39
Enterprise | Trelium
www.questom.ai/use-casesF35
Trelium | AI Agents by Industry
Changes since v1Last audited 70 days ago
43
54
+11
View full comparison →
Increase Content DepthImprove Question-Answer AlignmentAdd Structured Tables & ListsFix Duplicate Content BlocksAdd Direct Answer ParagraphsRestructure Content as Q&ABuild Comprehensive FAQ SectionAdd Content Freshness SignalsAdd Answer Capsule PatternsPackage Evidence for AI

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