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usecaribou.com
WINTER 2019

usecaribou.com

Weak AI visibility with 24 of 48 criteria passing. Biggest gap: llms.txt file.

45/100
F
Citation Avg
Coherence gate active - score capped at 50
Answer Readiness
~40% weight
5/10
Content Structure
~25% weight
7/10
Trust & Authority
~15% weight
3/10
Technical Foundation
~10% weight
4/10
AI Discovery
~10% weight
4/10

Verdict

Critical AEO gaps at 45/100 - usecaribou.com is largely invisible to AI engines. Key strengths include Direct Answer Paragraphs, Fact & Data Density, and Canonical URL Strategy. Priority gaps: llms.txt File, Schema.org Structured Data, and RSS/Atom Feed. Topic coherence is 3/10, which caps the overall score at 50. Focusing content on core expertise areas is the single highest-impact improvement.

#8394of 13363
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How to Improve

Current
45/100
Projected
77/100
42Total Fixes
13Quick Wins
~93hEst. Effort
Quick Wins
Create /llms.txt fileFix HTML structure and meta tagsConfigure robots.txt for AI crawlersLink orphan pages into site navigationAdd structured tables and listsAdd definition-style contentAdd ai.txt and content licensingEnhance author and expert schemaAdd visible date signalsMake pages solve the user task fasterPackage evidence for AI enginesEliminate cross-page duplicate contentImprove server response efficiency
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Fix HTML structure and meta tags
high|low
Reduce document weight
critical|medium
Configure robots.txt for AI crawlers
high|trivial
Create complete sitemap.xml
medium|low
Add internationalization signals
critical|medium
Improve server response efficiency
high|low
Reduce render-blocking resources
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.

Sections within pages contain identical or near-identical text. LLMs may flag this as low-quality or thin content, reducing citation authority. Rewrite duplicate blocks with unique angles.

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.

Strengthen internal linking with descriptive anchor text between related pages. Add breadcrumb navigation and ensure every key page is reachable within 3 clicks from the homepage.

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

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 more proper nouns throughout content - named sources, organizations, tools, studies, and locations. Cited text averages 20.6% proper nouns; most sites fall well below 15%.

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.

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.

Fix It With AI45

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Site Pages

www.usecaribou.com/case-study/butternutboxF34
How Butternut Box did X with Caribou, to unlock Y value - Transfer Pricing for Multi-Entity Companies | Caribou
www.usecaribou.com/blogD40
Caribou Blog - Insights from industry experts | Caribou
www.usecaribou.com/homeD41
Transfer Pricing for Multi-Entity Companies | Caribou
www.usecaribou.com/start-upsF36
Transfer Pricing for Startups & Scale-ups | Caribou

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