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keatext.ai

keatext.ai

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

54/100
1 since v1
D
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
6/10
Trust & Authority
~15% weight
7/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
7/10

Verdict

Below-average AEO readiness at 54/100 - multiple areas need attention. Key strengths include Schema.org Structured Data, Original Data & Expert Analysis, and Sitemap Completeness. Priority gaps: llms.txt File, Speakable Schema, and Image Context for AI. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

#2983of 13363
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How to Improve

Current
54/100
Projected
80/100
36Total Fixes
10Quick Wins
~57hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersAdd structured tables and listsAdd ai.txt and content licensingAdd visible date signalsFocus blog content on core expertiseMake content creators clearly visibleReduce extraction frictionImprove server response efficiencyReduce render-blocking resources
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Fix HTML structure and meta tags
medium|low
Reduce render-blocking resources
high|low
Configure robots.txt for AI crawlers
high|trivial
Improve server response efficiency
high|low
Reduce document weight
medium|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.

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.

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

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.

The same paragraphs appear on multiple pages. AI engines may only index one version and ignore the rest. Rewrite shared content so each page offers a unique perspective.

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

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

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.

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

Fix It With AI38

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Site Pages

www.keatext.ai/en/case-studiesD43
Customer Stories | Keatext
www.keatext.ai/en/surveysD40
Survey Analysis | Keatext
Changes since v1Last audited 52 days ago
55
54
-1
View full comparison →
Focus Content on Core TopicsAdd Structured Tables & ListsAdd Direct Answer ParagraphsAdd Entity DisambiguationAdd Answer Capsule PatternsEliminate Cross-Page Duplicate ContentAdd First-Hand Experience SignalsStrengthen Entity Authority (NAP)Build Comprehensive FAQ SectionRestructure Content as Q&A

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