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pillar.io
SUMMER 2019

pillar.io

Weak AI visibility with 19 of 48 criteria passing. Biggest gap: llms.txt file.

49/100
F
Citation Avg
Answer Readiness
~40% weight
6/10
Content Structure
~25% weight
5/10
Trust & Authority
~15% weight
3/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
4/10

Verdict

Below-average AEO readiness at 49/100 - multiple areas need attention. Key strengths include Original Data & Expert Analysis, Fact & Data Density, and Content Cannibalization. Priority gaps: llms.txt File, Schema.org Structured Data, and RSS/Atom Feed.

#5884of 13363
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How to Improve

Current
49/100
Projected
80/100
43Total Fixes
13Quick Wins
~91hEst. Effort
Quick Wins
Create /llms.txt fileAdd question-based headingsConfigure robots.txt for AI crawlersBuild FAQ sections with schemaLink orphan pages into site navigationAdd structured tables and listsAdd direct answer paragraphsAdd ai.txt and content licensingEnhance author and expert schemaFix canonical URL strategyAdd visible date signalsMake pages solve the user task fasterReduce extraction friction
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Create complete sitemap.xml
critical|medium
Configure robots.txt for AI crawlers
critical|low
Fix canonical URL strategy
critical|low
Add internationalization signals
critical|medium
Reduce render-blocking resources
medium|low
Reduce document weight
medium|low
Fix HTML structure and meta tags
low|low
Improve server response efficiency
medium|low

Top Opportunities10

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.

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.

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

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

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

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.

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.

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

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.

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