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fooda.com

fooda.com

Weak AI visibility with 29 of 48 criteria passing. Biggest gap: llms.txt file.

46/100
F
Citation Avg
Coherence gate active - score capped at 50
Answer Readiness
~40% weight
6/10
Content Structure
~25% weight
7/10
Trust & Authority
~15% weight
4/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
5/10

Verdict

Below-average AEO readiness at 46/100 - multiple areas need attention. Key strengths include Comprehensive FAQ Section, Canonical URL Strategy, and Duplicate Content Blocks. Priority gaps: llms.txt File, RSS/Atom Feed, and Speakable Schema. Topic coherence is 3/10, which caps the overall score at 50. Focusing content on core expertise areas is the single highest-impact improvement.

#7495of 13363
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How to Improve

Current
46/100
Projected
79/100
41Total Fixes
14Quick Wins
~78hEst. Effort
Quick Wins
Create /llms.txt fileAdd question-based headingsStrengthen entity authority (NAP)Configure robots.txt for AI crawlersAdd definition-style contentAdd ai.txt and content licensingEnhance author and expert schemaImprove query-answer alignmentAdd visible date signalsFocus blog content on core expertiseIncrease content depth and structureImprove citation-ready writing qualityPackage evidence for AI enginesReduce extraction friction
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Configure robots.txt for AI crawlers
high|trivial
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.

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 specific numbers, percentages, statistics, and data points throughout your content. Fact-dense content gives AI engines concrete data to cite rather than vague claims.

Write concise, standalone answer paragraphs (2-3 sentences) immediately after question headings. These "snippet-ready" paragraphs are ideal for AI engine citations.

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.

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.

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

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

Fix It With AI43

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Site Pages

www.fooda.com/resourcesF29
Resources | Fooda
www.fooda.com/business-developmentF31
Business Development at Fooda | Fooda
www.fooda.com/socios-de-restaurantesF33
Incrementa las ventas de tu restaurante durante el almuerzo | Fooda
www.fooda.com/consumer-tech-featuresF36
Consumer Tech Features | Fooda
www.fooda.com/corporate-dining-popupsF34
Fooda Popup: Rotating Local Restaurants in your Workplace | Fooda
www.fooda.com/blogF22
Blog | Fooda

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