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zivver.com

zivver.com

Moderate AI visibility with 32 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
6/10
Content Structure
~25% weight
8/10
Trust & Authority
~15% weight
6/10
Technical Foundation
~10% weight
7/10
AI Discovery
~10% weight
5/10

Verdict

Below-average AEO readiness at 55/100 - multiple areas need attention. Key strengths include Internal Linking Structure, Table & List Extractability, and Direct Answer Paragraphs. Priority gaps: llms.txt File, RSS/Atom Feed, and Content Licensing & AI Permissions. 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
84/100
40Total Fixes
7Quick Wins
~66hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersAdd ai.txt and content licensingImprove query-answer alignmentPackage evidence for AI enginesReduce extraction frictionImprove server response efficiency
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
Improve server response efficiency
high|low
Reduce render-blocking resources
medium|low
Reduce document weight
medium|low
Create complete sitemap.xml
low|low
Add internationalization signals
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.

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.

The same paragraphs appear on multiple pages. AI engines may only index one version and ignore the rest. Rewrite shared content so each page offers a unique perspective.

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

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.

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.

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.

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.

Fix It With AI41

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Site Pages

www.zivver.com/resources/white-papersD40
White Papers | Zivver
www.zivver.com/solutions/industry/healthcareD43
Secure Email Solutions for Healthcare Providers & Services | Zivver
www.zivver.com/resourcesF37
Resources | Zivver
www.zivver.com/products/overviewD42
Secure Email Solutions | Zivver
www.zivver.com/customers/mountain-healthcareD43
Customer Story - Mountain Healthcare
www.zivver.com/case-studiesF36
Our Customer Stories | Zivver
www.zivver.com/about-us/awardsF37
Email and Cyber Security Awards | Zivver

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