AI Visibility Scorecard
mperas.com · Technology
Borderline visible. AI bots can crawl ImperasDV: RISC, 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
#1,543,995 of 2,705,685 in Technology for AI visibility
5
AEO Visibility
iBorderline · 4.5/10
35
Muse Index Score
iAI agent readiness
Agent-ready · 35/100
12
AI Adoption
iBasic · 12/100
from our crawl and measurement
"Discover ImperasDV, the RISC-V verification tool with reference models, functional coverage, and advanced debugging for custom processors." That is how ImperasDV: RISC introduces itself. To AI engines like ChatGPT and Perplexity, though, it is barely visible: it scores 4.5 out of 10.
Almost none of the machinery AI engines read is present, including structured data describing the business, an llms.txt file, a sitemap.
Strong · Good · Fair · Weak
Structured Data
Fair
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 4.5/10, ImperasDV: RISC is crawlable but under-signaled - fixable, and the signals above are where to start.
How Does ImperasDV Work?
The same program is executed in parallel on the RTL and ImperasFPM. ImperasDV uses lock-step continuous compare, a co-simulation approach where the RTL and reference model run in lock-step. As each instruction retires, the architectural state of the two is compared. Mismatches in state are reported as errors immediately.
Is this your brand?
The exact fixes for ImperasDV: RISC
Which AI engines already crawl you
Free AI bot monitoring: see every AI crawler that visits you
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 July 31, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/mperas
Cite this score: Engagemii (2026). "AEO Score for ImperasDV: RISC." Retrieved from https://engagemii.com/aeo/brands/mperas
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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