AI Visibility Scorecard
negabo.com · Technology
Borderline visible. AI bots can crawl NEGABO Research, but the structured-data signals are thin - you are at real risk of being skipped when buyers ask ChatGPT, Claude, or Perplexity for a recommendation.
AI engines read this profile 1 times
Claude
#1,806,398 of 2,705,713 in Technology for AI visibility
4
AEO Visibility
iBorderline · 4.1/10
25
Muse Index Score
iAI agent readiness
Basic · 25/100
6
AI Adoption
iBasic · 6/100
from our crawl and measurement
"NEGABO Research develops NGNN-SAE for sparse autoencoder interpretability and LLM feature analysis." That is how NEGABO Research NGNN-SAE for LLM Interpretability introduces itself. To AI engines like ChatGPT and Perplexity, though, it is barely visible: it scores 4.1 out of 10.
Our crawl found structured data on the page (ResearchOrganization), a sitemap and a readable heading structure. It is missing an llms.txt file.
Strong · Good · Fair · Weak
Structured Data
Good
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Strong
Clear headings and answer-style content.
Entity Clarity
Fair
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Weak
Experience, Expertise, Authority, Trust markers.
Technical AEO
Good
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Good
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
Weak
No inbound links found yet.
Domain Authority
Weak
Little domain authority yet.
Reference Presence
Weak
Not in AI knowledge graphs yet.
News & Press
Weak
No press coverage found yet.
Community
Weak
No community discussion yet.
Social Mentions
Weak
No social discussion found yet.
Your AEO score measures whether AI search engines - ChatGPT, Claude, Perplexity, Gemini - can actually read your site and cite it in answers. Roughly two-thirds of sites are invisible to them. At 4.1/10, NEGABO Research is crawlable but under-signaled - fixable, and the signals above are where to start.
Have access to LLM activations?
We are looking for partners to run a clean comparison between NGNN-SAE and current SAE baselines. The goal is simple: determine whether NGNN-SAE produces more fully utilized, measurable, and ablation-useful feature dictionaries without exposing proprietary implementation details before filings are complete.
Is this your brand?
The exact fixes for NEGABO Research
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The search landscape has fundamentally shifted. While Google still dominates, millions of users now ask questions to ChatGPT, Gemini, and Claude instead of typing into a search bar.
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Scored by Engagemii on August 12, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/negabo
Cite this score: Engagemii (2026). "AEO Score for NEGABO Research." Retrieved from https://engagemii.com/aeo/brands/negabo
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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