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usesynth.ai
FALL 2024

usesynth.ai

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

Developer Tools & InfrastructureAI & ML Platforms
49/100
1 since v1
F
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
5/10
Content Structure
~25% weight
6/10
Trust & Authority
~15% weight
3/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
3/10

Verdict

Below-average AEO readiness at 49/100 - multiple areas need attention. Key strengths include Table & List Extractability, Content Cannibalization, and Duplicate Content Blocks. Priority gaps: llms.txt File, Schema.org Structured Data, and Sitemap Completeness. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

How to Improve

Current
49/100
Projected
80/100
42Total Fixes
12Quick Wins
~87hEst. Effort
Quick Wins
Create /llms.txt fileStrengthen entity authority (NAP)Configure robots.txt for AI crawlersLink orphan pages into site navigationAdd ai.txt and content licensingFix canonical URL strategyAdd visible date signalsFocus blog content on core expertiseAdd first-hand experience signalsMake content creators clearly visibleExplain how content was tested or reviewedAdd image context for AI engines
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
high|trivial
Fix canonical URL strategy
critical|low
Fix HTML structure and meta tags
low|low
Add internationalization signals
critical|medium
Improve server response efficiency
medium|low
Reduce render-blocking resources
low|low
Reduce document weight
low|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.

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.

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

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.

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.

Add specific numbers, percentages, statistics, and data points throughout your content. Fact-dense content gives AI engines concrete data to cite rather than vague claims.

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.

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.

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Site Pages

www.usesynth.ai/blog/managed-researchD48
Managed Research: From Repo Context to Reviewable Results | Synth Blog
docs.usesynth.ai/managed-research/introF39
Managed Research - Synth AI
Changes since v1Last audited 76 days ago
48
49
+1
View full comparison →
Increase Content DepthFocus Content on Core TopicsAdd Original Data & Case StudiesAdd Direct Answer ParagraphsAdd Answer-First PlacementAdd Owned Data SignalsIncrease Fact & Data DensityStrengthen Entity Authority (NAP)Add Entity DisambiguationImprove Internal Linking Architecture

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