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alloy.co

alloy.co

Moderate AI visibility with 27 of 48 criteria passing. Biggest gap: llms.txt file.

Developer Tools & InfrastructureSecurity & Compliance
53/100
1 since v1
F
Citation Avg
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
4/10
Trust & Authority
~15% weight
5/10
Technical Foundation
~10% weight
6/10
AI Discovery
~10% weight
4/10

Verdict

Below-average AEO readiness at 53/100 - multiple areas need attention. Key strengths include Original Data & Expert Analysis, Internal Linking Structure, and Canonical URL Strategy. Priority gaps: llms.txt File, Comprehensive FAQ Section, and Sitemap Completeness.

How to Improve

Current
53/100
Projected
81/100
38Total Fixes
8Quick Wins
~69hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersAdd content freshness signalsAdd ai.txt and content licensingEnhance author and expert schemaAdd visible date signalsIncrease content depth and structureReduce 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
high|trivial
Fix HTML structure and meta tags
low|low
Improve server response efficiency
medium|low
Reduce render-blocking resources
medium|low
Add internationalization signals
medium|low

Top Opportunities10

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.

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

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.

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.

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.

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.

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

Rewrite multi-clause sentences into single-claim statements under 20 words. Pages with Flesch-Kincaid grade 16 outperform grade 19 in citation rates.

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 AI40

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Site Pages

alloy.co/ongoing-monitoringD42
Monitor Ongoing Fraud and AML Risks Transaction Monitoring | Alloy
alloy.co/content-libraryF35
Content Library | Alloy
Changes since v1Last audited 52 days ago
52
53
+1
View full comparison →
Increase Fact & Data DensityImprove Question-Answer AlignmentIncrease Content DepthAdd Structured Tables & ListsFocus Content on Core TopicsBuild Comprehensive FAQ SectionAdd Owned Data SignalsRestructure Content as Q&AImprove Sentence AtomicityAdd Entity Disambiguation

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