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zesty.ai

zesty.ai

Moderate AI visibility with 28 of 48 criteria passing. Biggest gap: llms.txt file.

57/100
D
Citation Avg
Answer Readiness
~40% weight
8/10
Content Structure
~25% weight
6/10
Trust & Authority
~15% weight
4/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
4/10

Verdict

Below-average AEO readiness at 57/100 - multiple areas need attention. Key strengths include Original Data & Expert Analysis, Fact & Data Density, and Canonical URL Strategy. Priority gaps: llms.txt File, Schema.org Structured Data, and RSS/Atom Feed.

#1755of 13363
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How to Improve

Current
57/100
Projected
83/100
42Total Fixes
13Quick Wins
~75hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersAdd structured tables and listsAdd ai.txt and content licensingEnhance author and expert schemaExtend schema to inner pagesImprove query-answer alignmentAdd visible date signalsAdd answer-first content placementClarify entity boundariesReduce extraction frictionEliminate cross-page duplicate contentReduce document weight
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Reduce document weight
high|low
Configure robots.txt for AI crawlers
high|trivial
Create complete sitemap.xml
medium|low
Add internationalization signals
critical|medium
Reduce render-blocking resources
medium|low
Fix HTML structure and meta tags
low|low
Improve server response efficiency
medium|low

Top Opportunities10

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.

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.

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.

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

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

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.

Sections within pages contain identical or near-identical text. LLMs may flag this as low-quality or thin content, reducing citation authority. Rewrite duplicate blocks with unique angles.

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

Fix It With AI44

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Site Pages

zesty.ai/resourcesD42
Resources
zesty.ai/why-us/what-sets-us-apartD42
Smarter, Regulator-Approved AI for Insurers | Why ZestyAI
zesty.ai/why-us/industry-and-regulatory-expertiseF39
Industry Expertise | AI Risk Platform | ZestyAI
zesty.ai/customer-stories/verified-roof-ageD49
ZestyAI Case Studies | From Self-Reported to Verified: Roof Age Accuracy That Pays Off
zesty.ai/customer-stories/property-level-wildfire-insight...D46
ZestyAI Case Studies | Property-Level Wildfire Insights, Delivered at Scale
zesty.ai/customer-stories/california-approves-insurance-r...D43
ZestyAI Case Studies | California Approves Insurance Rates Using New AI Model for Wildfire
zesty.ai/customer-storiesD42
Insurance Customer Stories | ZestyAI AI Case Studies

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