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scale.com
SUMMER 2016

scale.com

Weak AI visibility with 23 of 48 criteria passing. Biggest gap: llms.txt file.

43/100
4 since v1
F
Citation Avg
Answer Readiness
~40% weight
5/10
Content Structure
~25% weight
4/10
Trust & Authority
~15% weight
2/10
Technical Foundation
~10% weight
4/10
AI Discovery
~10% weight
6/10

Verdict

Critical AEO gaps at 43/100 - scale.com is largely invisible to AI engines. Key strengths include Sitemap Completeness, Fact & Data Density, and Canonical URL Strategy. Priority gaps: llms.txt File, Schema.org Structured Data, and Comprehensive FAQ Section.

#9270of 13363
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How to Improve

Current
43/100
Projected
80/100
42Total Fixes
11Quick Wins
~91hEst. Effort
Quick Wins
Create /llms.txt fileAdd question-based headingsFix HTML structure and meta tagsConfigure robots.txt for AI crawlersAdd structured tables and listsAdd direct answer paragraphsAdd 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
Fix HTML structure and meta tags
high|low
Configure robots.txt for AI crawlers
high|trivial
Add internationalization signals
critical|medium
Reduce render-blocking resources
medium|low
Improve server response efficiency
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.

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.

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

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.

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.

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.

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.

Fix It With AI43

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Every day without action is traffic your site loses to AI-ready competitors. We fix that.

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Site Pages

scale.com/docsF39
Documentation | Scale.com Documentation
scale.com/evaluation/public-sectorF27
Scale AI | Evaluation and monitoring of generative AI for the Public Sector | Scale AI
scale.comF32
Reliable AI Systems for the World's Most Important Decisions | Scale AI
scale.com/aboutF32
About Scale AI | Reliable AI for Critical Decisions | Scale AI
scale.com/demo/generative-ai-data-engineF32
Generative AI Engine Demos | Scale AI | Scale AI
scale.com/agentic-warfareF32
Scale AI | Accelerating agentic warfare capabilities | Scale AI
scale.com/summit/accessF32
Summit - Access | Scale AI | Scale AI
scale.com/guides/data-labeling-annotation-guideF32
Data Labeling: The Authoritative Guide | Scale AI
scale.com/guides/diffusion-models-guideF32
Diffusion Models: A Practical Guide | Scale AI
scale.com/dev/iconsF32
Scale AI - Data Platform for AI
scale.com/pricingF32
Pricing - Scale | Scale AI
Changes since v1Last audited 52 days ago
47
43
-4
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Increase Content DepthAdd Original Data & Case StudiesRestructure Content as Q&AAdd Structured Tables & ListsFocus Content on Core TopicsAdd Answer-First PlacementBuild Comprehensive FAQ SectionAdd Owned Data SignalsImprove Internal Linking ArchitectureAdd Answer Capsule Patterns

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