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reflect.run
SUMMER 2020

reflect.run

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

57/100
D
Citation Avg
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
8/10
Trust & Authority
~15% weight
4/10
Technical Foundation
~10% weight
4/10
AI Discovery
~10% weight
4/10

Verdict

Below-average AEO readiness at 57/100 - multiple areas need attention. Key strengths include Table & List Extractability, Direct Answer Paragraphs, and Canonical URL Strategy. Priority gaps: llms.txt File, Schema.org Structured Data, and RSS/Atom Feed.

#1678of 13363
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How to Improve

Current
57/100
Projected
84/100
40Total Fixes
9Quick Wins
~75hEst. Effort
Quick Wins
Create /llms.txt fileStrengthen entity authority (NAP)Configure robots.txt for AI crawlersBuild FAQ sections with schemaImplement semantic HTML5 elementsAdd ai.txt and content licensingEnhance author and expert schemaAdd visible date signalsClarify entity boundaries
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Configure robots.txt for AI crawlers
high|trivial
Fix HTML structure and meta tags
low|low
Create complete sitemap.xml
medium|low
Add internationalization signals
critical|medium
Improve server response efficiency
medium|low
Reduce render-blocking resources
low|low
Reduce document weight
low|low

Top Opportunities10

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 specific numbers, percentages, statistics, and data points throughout your content. Fact-dense content gives AI engines concrete data to cite rather than vague claims.

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.

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

Implement JSON-LD structured data (Organization, Service, Product, FAQPage) on key pages. Schema markup helps AI engines extract and cite your content accurately.

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

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.

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.

Add Person schema for content authors with credentials, expertise, and sameAs links. Expert attribution strengthens E-E-A-T signals that AI engines use to evaluate source credibility.

Fix It With AI42

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Site Pages

reflect.run/regression-testing-guideD42
Developer's Guide to Regression Testing | Reflect
reflect.run/resourcesD46
Automated Web Testing | Reflect
reflect.run/why-reflectD40
Your web app needs a better tool for testing | Reflect
reflect.run/customersF33
Customers | Reflect
reflect.run/salesforce-testingF37
Salesforce Testing | Reflect
reflect.run/mobile-testingF39
Mobile Testing | Reflect

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