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ingu.com

ingu.com

Weak AI visibility with 26 of 48 criteria passing. Biggest gap: llms.txt file.

48/100
F
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
5/10
Content Structure
~25% weight
4/10
Trust & Authority
~15% weight
6/10
Technical Foundation
~10% weight
6/10
AI Discovery
~10% weight
6/10

Verdict

Below-average AEO readiness at 48/100 - multiple areas need attention. Key strengths include Entity Authority & NAP Consistency, Sitemap Completeness, and RSS/Atom Feed. Priority gaps: llms.txt File, Comprehensive FAQ Section, and Content Licensing & AI Permissions. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

#6329of 13363
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How to Improve

Current
48/100
Projected
79/100
39Total Fixes
12Quick Wins
~81hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersLink orphan pages into site navigationAdd definition-style contentAdd direct answer paragraphsAdd ai.txt and content licensingAdd visible date signalsFocus blog content on core expertiseMake pages solve the user task fasterReduce extraction frictionImprove server response efficiencyReduce render-blocking resources
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Configure robots.txt for AI crawlers
critical|low
Fix HTML structure and meta tags
medium|low
Reduce render-blocking resources
high|low
Improve server response efficiency
high|low
Reduce document weight
medium|low
Add internationalization signals
low|low

Top Opportunities10

Publish original research, statistics, case studies, or proprietary data that AI engines can cite. Unique data points make your content a primary source rather than a derivative one.

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.

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

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.

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

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.

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.

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.

Fix It With AI39

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Site Pages

ingu.com/es/williams-se-incorpora-a-ingu-como-inversor-es...D43
Williams Joins INGU As A Strategic Investor | INGU
ingu.com/leak-detection-in-high-consequence-areasF39
Case Study: Pipeline Leak Detection | INGU
ingu.com/es/noticiasF33
Noticias | INGU
ingu.com/ppim-2026F38
PPIM 2026 | INGU

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