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electric.ai

electric.ai

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

Developer Tools & InfrastructureDeveloper Platforms
55/100
D
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
7/10
Trust & Authority
~15% weight
6/10
Technical Foundation
~10% weight
6/10
AI Discovery
~10% weight
6/10

Verdict

Below-average AEO readiness at 55/100 - multiple areas need attention. Key strengths include Q&A Content Format, Internal Linking Structure, and Sitemap Completeness. Priority gaps: llms.txt File, RSS/Atom Feed, and Speakable Schema. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

How to Improve

Current
55/100
Projected
85/100
35Total Fixes
10Quick Wins
~55hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersBuild FAQ sections with schemaImplement semantic HTML5 elementsAdd ai.txt and content licensingMake content creators clearly visiblePackage evidence for AI enginesClarify entity boundariesReduce extraction frictionReduce render-blocking resources
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Configure robots.txt for AI crawlers
high|trivial
Reduce render-blocking resources
high|low
Add internationalization signals
critical|medium
Fix HTML structure and meta tags
low|low
Improve server response efficiency
low|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.

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.

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.

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.

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 inline citations to external sources, "According to [Source]..." attribution phrases, and a Sources section at the end of key articles.

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.

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

Write self-contained definition sentences and single-claim statements that AI engines can quote directly. Avoid pronouns like "this" or "that" at the start of answer paragraphs.

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

Fix It With AI36

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Site Pages

electric.ai/whitepapers/the-state-of-employee-onboardingD40
The State of Employee Onboarding | Electric
electric.ai/uncategorized/whats-new-at-electric-november-...F39
What's New @ Electric: November 2022 Product Release Update | Electric
electric.ai/solutions/service-deskD40
Daily IT Tasks | Electric
electric.ai/solutions/application-managementD42
Application Management | Electric
electric.ai/solutions/hardware-storeF39
Hardware Store | Electric

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