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farel.io
SUMMER 2020

farel.io

Moderate AI visibility with 38 of 48 criteria passing. Biggest gap: speakable schema.

55/100
2 since v1
D
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
8/10
Trust & Authority
~15% weight
8/10
Technical Foundation
~10% weight
7/10
AI Discovery
~10% weight
7/10

Verdict

Below-average AEO readiness at 55/100 - multiple areas need attention. Key strengths include Schema.org Structured Data, Q&A Content Format, and robots.txt for AI Crawlers. Priority gaps: Speakable Schema, Content Licensing & AI Permissions, and Methodology Transparency. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

#2289of 13363
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How to Improve

Current
55/100
Projected
82/100
31Total Fixes
9Quick Wins
~52hEst. Effort
Quick Wins
Build FAQ sections with schemaLink orphan pages into site navigationAdd ai.txt and content licensingFocus blog content on core expertiseMake content creators clearly visiblePackage evidence for AI enginesClarify entity boundariesReduce extraction frictionReduce document weight
Reduce document weight
high|low
Add internationalization signals
critical|medium
Reduce render-blocking resources
medium|low
Fix HTML structure and meta tags
low|low
Create complete sitemap.xml
low|low
Improve server response efficiency
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.

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.

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.

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 inline citations to external sources, "According to [Source]..." attribution phrases, and a Sources section at the end of key articles.

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

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.

Place a concise 40-80 word answer block in the first 300 words of each page. Avoid throat-clearing openers like "In this article..." and lead with the answer.

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.

Fix It With AI36

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Site Pages

farel.io/platform/reservation-systemF38
Airline Reservation System | Farel
farel.io/customers/esav-airlinesD43
ESAV Airlines — Case Study | Farel
farel.io/platform/distributionF39
Airline Distribution Platform | Farel
farel.io/platform/finance-reportingD43
Finance & Reporting | Farel
Changes since v1Last audited 52 days ago
53
55
+2
View full comparison →
Focus Content on Core TopicsIncrease Content DepthAdd Structured Tables & ListsBuild Comprehensive FAQ SectionPackage Evidence for AIAdd First-Hand Experience SignalsAdd Entity DisambiguationAdd Answer Capsule PatternsAdd Answer-First PlacementAdd Owned Data Signals

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