AI Visibility Scorecard
inroot.io · Technology
Somewhat visible. AI bots can read inRoot, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 2 times
Claude · Apple Intelligence
#393,537 of 2,707,521 in Technology for AI visibility
6
AEO Visibility
iBorderline · 5.5/10
68
Muse Index Score
iAI agent readiness
Agent-ready · 68/100
0
AI Adoption
iNone detected · 0/100
from our crawl and measurement
"inRoot accelerates deep-tech scale-up from TRL 4 to TRL 9 with structured de-risking, pattern recognition, and validation protocols from zero-failure industries." That is how inRoot introduces itself. To AI engines like ChatGPT and Perplexity it is partially visible, scoring 5.5 out of 10, readable in places and missing in others.
Our crawl found structured data on the page (Organization, WebSite, Person), an llms.txt file for AI models and a sitemap.
Strong · Good · Fair · Weak
Structured Data
Strong
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Strong
Clear headings and answer-style content.
Entity Clarity
Good
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Good
Experience, Expertise, Authority, Trust markers.
Technical AEO
Good
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Strong
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 5.5/10, inRoot has a working base to build on - fixable, and the signals above are where to start.
What to Expect: How We Build Scale-Up Readiness?
Here's what a typical day looks like.09:00Target SelectionPick the highest-leverage decision on the table.10:30Isolate VariablesSurface assumptions; separate signal from noise.12:00The Deep DivePre-mortem the path; map failure modes.01:30Guided ExecutionWalk through the plan with the people who own it.03:00CountermeasuresLock in mitigations and decision criteria.04:3030/60/90 PlanSequenced milestones, owners, and.
Is this your brand?
The exact fixes for inRoot
Which AI engines already crawl you
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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.
Continue reading in your free Engagemii portalFree signup unlocks the full article plus your personalized AEO fix list for inRoot.
Scored by Engagemii on August 8, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/inroot-io
Cite this score: Engagemii (2026). "AEO Score for inRoot." Retrieved from https://engagemii.com/aeo/brands/inroot-io
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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