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glean.com

glean.com

Moderate AI visibility with 33 of 48 criteria passing. Biggest gap: llms.txt file.

59/100
F
Citation Avg
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
7/10
Trust & Authority
~15% weight
6/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
4/10

Verdict

Below-average AEO readiness at 59/100 - multiple areas need attention. Key strengths include Original Data & Expert Analysis, Direct Answer Paragraphs, and Fact & Data Density. Priority gaps: llms.txt File, RSS/Atom Feed, and Speakable Schema.

#1046of 13363
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How to Improve

Current
59/100
Projected
83/100
41Total Fixes
10Quick Wins
~67hEst. Effort
Quick Wins
Create /llms.txt fileAdd JSON-LD structured dataConfigure robots.txt for AI crawlersImplement semantic HTML5 elementsAdd structured tables and listsAdd ai.txt and content licensingImprove citation-ready writing qualityClarify entity boundariesReduce extraction frictionReduce 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
Create complete sitemap.xml
medium|low
Fix HTML structure and meta tags
low|low
Improve server response efficiency
medium|low
Reduce render-blocking resources
low|low
Add internationalization signals
low|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.

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.

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 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.

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.

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.

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

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.

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

Shorten sentences to under 25 words, use active voice in lead paragraphs, define jargon inline, and avoid hiding content behind accordions or display:none.

Fix It With AI42

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Site Pages

www.glean.com/blogD47
Work AI blog - AI agents, assistant, and search resources
www.glean.com/resourcesD44
Enterprise AI resources, guides & studies | Glean Work AI
www.glean.com/jpF33
あらゆる業務にWork AIを:エージェント、アシスタント、検索を統合するAIプラットフォーム
www.glean.com/product/data-analysisD41
AI for Data Analysis: Instantly Analyze & Uncover Insights
www.glean.com/product/overviewF38
AI Platform for Work | Glean Work AI for Enterprise
www.glean.com/product-dropF38
Product Drop Archive | Glean
www.glean.com/illuminate/rise-of-the-ai-agentsF33
ILLUMINATE: Rise of AI Agents Hub | Glean enterprise AI
www.glean.com/jp/connectors/pingboardF34
Pingboard Glean との連携 | Glean Work AI

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