AI Visibility Scorecard
yesusers.com · Professional Services
Borderline visible. AI bots can crawl YesUsers, 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
#299,263 of 526,488 in Professional Services for AI visibility
4
AEO Visibility
iBorderline · 4.4/10
5
Muse Index Score
iAI agent readiness
Basic · 5/100
8
AI Adoption
iBasic · 8/100
from our crawl and measurement
YesUsers is a business whose own site puts it this way: "We help you build products that your users love. We are the world's most popular Feature Request and Feedback Management Tool." When AI engines look at it, they find little to work with. It scores 4.4 out of 10.
Our crawl found a sitemap, a readable heading structure. It also found the gaps that keep answer engines guessing: structured data describing the business, an llms.txt file.
Strong · Good · Fair · Weak
Structured Data
Weak
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
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 4.4/10, YesUsers is crawlable but under-signaled - fixable, and the signals above are where to start.
How does the Auto Categorization and Tagging system work?
Our tagging system starts by categorizing and tagging incoming feedback, allowing for a streamlined process that removes the necessity for manual sorting. This automation enables product development teams to swiftly recognize the broad categories of user feedback for further delegation. They can also give feedback on the categorization and tagging by AI to improve the system further in the future.
What is YesUsers?
YesUsers is a comprehensive user feedback management platform that helps companies collect, organize, and act on user feedback to build better products and stronger user communities.
What is the Impact Score model?
Our Impact Score model leverages AI-powered analysis trained on millions of product updates, enabling teams to make data-driven decisions about feature development.
How does the community feature work?
Our community platform creates a dynamic environment that streamlines user engagement and feedback collection.
How quickly can I see results?
Organizations typically observe meaningful metric improvements within the first quarter post-implementation, with substantial performance enhancements materializing within six months of active usage.
Is this your brand?
The exact fixes for YesUsers
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 August 16, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/yesusers
Cite this score: Engagemii (2026). "AEO Score for YesUsers." Retrieved from https://engagemii.com/aeo/brands/yesusers
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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