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innoviz.tech

innoviz.tech

Moderate AI visibility with 30 of 48 criteria passing. Biggest gap: llms.txt file.

54/100
F
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
6/10
Content Structure
~25% weight
7/10
Trust & Authority
~15% weight
7/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
6/10

Verdict

Below-average AEO readiness at 54/100 - multiple areas need attention. Key strengths include Entity Authority & NAP Consistency, Internal Linking Structure, and Content Freshness Signals. Priority gaps: llms.txt File, Speakable Schema, and Citation-Ready Writing Quality. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

#2959of 13363
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How to Improve

Current
54/100
Projected
83/100
35Total Fixes
10Quick Wins
~64hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersBuild FAQ sections with schemaAdd ai.txt and content licensingAdd visible date signalsMake pages solve the user task fasterMake content creators clearly visibleAdd answer-first content placementClarify entity boundariesReduce extraction friction
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Reduce render-blocking resources
critical|medium
Configure robots.txt for AI crawlers
high|trivial
Fix HTML structure and meta tags
low|low
Add internationalization signals
critical|medium
Reduce document weight
medium|low
Improve server response efficiency
medium|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.

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.

Add more proper nouns throughout content - named sources, organizations, tools, studies, and locations. Cited text averages 20.6% proper nouns; most sites fall well below 15%.

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.

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

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.

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.

Rewrite multi-clause sentences into single-claim statements under 20 words. Pages with Flesch-Kincaid grade 16 outperform grade 19 in citation rates.

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

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.

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Site Pages

innoviz.tech/lidar-technologyF39
Understanding LiDAR Capabilities & Uses | Innoviz
innoviz.tech/about/companyF34
About Innoviz | LiDAR Technology & Systems

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