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branchly.io

branchly.io

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

55/100
1 since v1
D
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
6/10
Content Structure
~25% weight
8/10
Trust & Authority
~15% weight
5/10
Technical Foundation
~10% weight
6/10
AI Discovery
~10% weight
5/10

Verdict

Below-average AEO readiness at 55/100 - multiple areas need attention. Key strengths include Schema.org Structured Data, Comprehensive FAQ Section, and Table & List Extractability. Priority gaps: llms.txt File, RSS/Atom Feed, and Content Licensing & AI Permissions. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

#2195of 13363
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How to Improve

Current
55/100
Projected
82/100
35Total Fixes
12Quick Wins
~66hEst. Effort
Quick Wins
Create /llms.txt fileAdd question-based headingsConfigure robots.txt for AI crawlersLink orphan pages into site navigationAdd ai.txt and content licensingFocus blog content on core expertiseIncrease content depth and structureMake content creators clearly visibleClarify entity boundariesReduce extraction frictionImprove server response efficiencyReduce document weight
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Fix HTML structure and meta tags
medium|low
Reduce document weight
high|low
Configure robots.txt for AI crawlers
high|trivial
Improve server response efficiency
high|low
Create complete sitemap.xml
low|low
Reduce render-blocking resources
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.

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.

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.

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.

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

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

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

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.

Fix It With AI35

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Site Pages

branchly.io/en/navigatorF35
branchly | Navigator
branchly.io/glossar/agentic-ragD43
Agentic RAG – Was ist das? Definition, Funktionsweise & Vergleich | branchly Glossar
branchly.io/en/blog/are-you-being-found-by-chatgptC55
branchly | Will you be found by ChatGPT?
branchly.io/en/glossary/ai-chatbotD45
AI Chatbot – What is it? Definition, Function & Comparison | branchly Glossary
branchly.io/en/blog/ai-update-for-your-websiteD47
branchly | AI update for your website
branchly.io/bayern/bayernkiD40
branchly | Bayern KI
Changes since v1Last audited 50 days ago
54
55
+1
View full comparison →
Add Original Data & Case StudiesFocus Content on Core TopicsIncrease Content DepthAdd Owned Data SignalsImprove Internal Linking ArchitectureAdd Answer Capsule PatternsRestructure Content as Q&AAdd First-Hand Experience SignalsStrengthen Entity Authority (NAP)Add Entity Disambiguation

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