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nextmv.io
WINTER 2020

nextmv.io

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

47/100
F
Citation Avg
Coherence gate active - score capped at 50
Answer Readiness
~40% weight
6/10
Content Structure
~25% weight
6/10
Trust & Authority
~15% weight
3/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
5/10

Verdict

Below-average AEO readiness at 47/100 - multiple areas need attention. Key strengths include Table & List Extractability, Fact & Data Density, and Canonical URL Strategy. Priority gaps: llms.txt File, Schema.org Structured Data, and Comprehensive FAQ Section. Topic coherence is 3/10, which caps the overall score at 50. Focusing content on core expertise areas is the single highest-impact improvement.

#7029of 13363
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How to Improve

Current
47/100
Projected
79/100
40Total Fixes
12Quick Wins
~86hEst. Effort
Quick Wins
Create /llms.txt fileAdd question-based headingsStrengthen entity authority (NAP)Configure robots.txt for AI crawlersLink orphan pages into site navigationImplement semantic HTML5 elementsAdd ai.txt and content licensingImprove query-answer alignmentAdd visible date signalsMake content creators clearly visibleImprove citation-ready writing qualityReduce extraction friction
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Configure robots.txt for AI crawlers
critical|low
Fix HTML structure and meta tags
low|low
Create complete sitemap.xml
medium|low
Add internationalization signals
critical|medium
Reduce render-blocking resources
medium|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.

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.

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

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

Include dateModified schema, visible last-updated dates, and time elements on content pages. Fresh content signals help AI engines prioritize your pages over stale alternatives.

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 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.

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.

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 AI41

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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

www.nextmv.io/docsD47
Nextmv Docs
www.nextmv.io/blog/a-pattern-for-ci-cd-pipelines-and-deci...F39
A pattern for CI/CD pipelines and decision apps
www.nextmv.io/docs/get-started/concepts/experimentsF38
Experiments · Nextmv Docs
www.nextmv.io/ecosystemF39
Nextmv Platform Ecosystem | AMPL, Gurobi, Hexaly, Pyomo, Databricks, Snowflake
www.nextmv.io/routingF38
Customizable vehicle route optimization API & SDK | Nextmv
www.nextmv.io/docs/using-nextmv/deploy/app/overviewF38
Overview · Nextmv Docs

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