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embrace.io
SUMMER 2019

embrace.io

Moderate AI visibility with 31 of 48 criteria passing. Biggest gap: llms.txt file.

54/100
F
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
5/10
Trust & Authority
~15% weight
7/10
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 Original Data & Expert Analysis, Content Freshness Signals, and Sitemap Completeness. Priority gaps: llms.txt File, Comprehensive FAQ Section, and Speakable Schema. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

#2832of 13363
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How to Improve

Current
54/100
Projected
84/100
34Total Fixes
10Quick Wins
~52hEst. Effort
Quick Wins
Create /llms.txt fileStrengthen entity authority (NAP)Configure robots.txt for AI crawlersBuild FAQ sections with schemaAdd ai.txt and content licensingMake pages solve the user task fasterMake content creators clearly visibleImprove citation-ready writing qualityClarify entity boundariesImprove server response efficiency
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Reduce render-blocking resources
critical|medium
Reduce document weight
critical|medium
Configure robots.txt for AI crawlers
high|trivial
Fix HTML structure and meta tags
low|low
Improve server response efficiency
high|low
Add internationalization signals
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.

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

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

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

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

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 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.

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.

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Site Pages

embrace.io/guides/mobile-observability-glossaryF35
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embrace.io/resourcesF34
Resource Library | Embrace
embrace.io/solutions/gamingF30
Mobile Gaming App Experience Solutions | Embrace
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Mobile E-Commerce & Retail App Monitoring | Embrace
embrace.io/product/anr-reportingF37
ANR Reporting Solutions | Embrace
embrace.io/platforms/iosF32
iOS App Performance Optimization for Seamless UX | Embrace
embrace.io/newsroom/articlesF32
Articles Archives - Embrace
embrace.io/instabug-alternativeF26
Instabug Alternative for Mobile App Performance Monitoring | Embrace

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