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nabis.com
WINTER 2019

nabis.com

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

55/100
2 since v1
F
Citation Avg
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
7/10
Trust & Authority
~15% weight
3/10
Technical Foundation
~10% weight
4/10
AI Discovery
~10% weight
5/10

Verdict

Below-average AEO readiness at 55/100 - multiple areas need attention. Key strengths include Q&A Content Format, Direct Answer Paragraphs, and Fact & Data Density. Priority gaps: llms.txt File, Schema.org Structured Data, and RSS/Atom Feed.

#2443of 13363
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How to Improve

Current
55/100
Projected
82/100
40Total Fixes
8Quick Wins
~78hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersAdd structured tables and listsAdd ai.txt and content licensingAdd visible date signalsIncrease content depth and structureReduce extraction frictionReduce render-blocking resources
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Reduce render-blocking resources
high|low
Configure robots.txt for AI crawlers
high|trivial
Create complete sitemap.xml
medium|low
Add internationalization signals
critical|medium
Fix HTML structure and meta tags
low|low
Improve server response efficiency
low|low

Top Opportunities10

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.

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.

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.

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.

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.

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.

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.

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.

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Site Pages

www.nabis.com/partner-highlight/artetF37
Artet — Brand Highlight — Nabis
www.nabis.com/newsroom/blogF31
Blog — Nabis
www.nabis.com/partner-highlight/weekendersF38
Weekenders — Brand Highlight — Nabis
Changes since v1Last audited 52 days ago
53
55
+2
View full comparison →
Increase Content DepthFocus Content on Core TopicsAdd Owned Data SignalsAdd Original Data & Case StudiesBuild Comprehensive FAQ SectionAdd Answer Capsule PatternsAdd Structured Tables & ListsAdd Content Freshness SignalsAdd Entity DisambiguationAdd Schema.org Structured Data

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