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nongo.ai

nongo.ai

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

53/100
F
Citation Avg
Answer Readiness
~40% weight
6/10
Content Structure
~25% weight
7/10
Trust & Authority
~15% weight
3/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
5/10

Verdict

Below-average AEO readiness at 53/100 - multiple areas need attention. Key strengths include Q&A Content Format, Direct Answer Paragraphs, and Canonical URL Strategy. Priority gaps: llms.txt File, Schema.org Structured Data, and RSS/Atom Feed.

#3676of 13363
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How to Improve

Current
53/100
Projected
81/100
39Total Fixes
9Quick Wins
~88hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersAdd ai.txt and content licensingEnhance author and expert schemaAdd visible date signalsMake pages solve the user task fasterImprove citation-ready writing qualityReduce extraction frictionEliminate cross-page duplicate content
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Configure robots.txt for AI crawlers
high|trivial
Add internationalization signals
critical|medium
Fix HTML structure and meta tags
low|low
Create complete sitemap.xml
low|low
Improve server response efficiency
low|low
Reduce render-blocking resources
low|low
Reduce document weight
low|low

Top Opportunities10

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.

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.

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.

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.

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.

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

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.

Implement JSON-LD structured data (Organization, Service, Product, FAQPage) on key pages. Schema markup helps AI engines extract and cite your content accurately.

Fix It With AI42

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Site Pages

nongo.ai/solutions/workflowsD44
Workflows - Transform Speech into Automated Processes | Nongo AI
nongo.ai/solutions/ar-guided-proceduresF39
AR Guided Procedures - Visual Step-by-Step Guidance | Nongo AI
nongo.ai/products/forms-and-checklistD46
Forms & Checklist - Go Paperless, Go Faster | Nongo AI

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