AI Visibility Scorecard
xaigent.net · Technology
At 2.3/10, xAIgent is close to invisible in AI search today. Most assistants will not cite it when asked about your category - fixable, and the signals below show exactly where to start.
AI engines read this profile 7 times
Claude · ChatGPT · Amazon Alexa · Meta AI
#1,675,335 of 2,706,765 in Technology for AI visibility
0
AI Naming Predictability
iRarely named · 0/100
More likely to be named than 51% of Technology companies
2
AEO Visibility
iNear-invisible · 2.3/10
5
Muse Index Score
iAI agent readiness
Basic · 5/100
6
AI Adoption
iBasic · 6/100
from our crawl and measurement
xAIgent works in Technology. To AI engines like ChatGPT and Perplexity it is close to invisible, scoring 2.3 out of 10.
Our crawl found a sitemap and a readable heading structure. It is missing structured data describing the business and an llms.txt file.
AI crawlers have visited 2 times in our tracking, including ClaudeBot (Anthropic) and GPTBot (ChatGPT).
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
Strong
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
Fair
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
Good
Inbound links from other sites.
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 2.3/10, xAIgent is crawlable but under-signaled - fixable, and the signals above are where to start.
Why are Tags (metadata) important?
Tags are referred to as metadata - metadata helps describe an item: a document, webpage, image, picture... allowing that item to be found in context during a search process.
How can I combine keyphrases that were extracted from many different documents?
For some applications, you may wish to have a list of keyphrases that covers a whole collection of documents, where each document has been processed individually by the xAIgent. If you have no constraints on the size of the list of keyphrases, you might simply take the union of all of the phrases as your combined list.
I want to use the xAIgent for automatic document classification. Can you help me?
Automatic document classification (Taxonomy) is the use of software to sort documents into various pre-defined categories. A similar task is automatic document clustering, in which there are no pre-defined categories, so the software must create the categories by itself.
Is this your brand?
The exact fixes for xAIgent
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ChatGPT doesn't crawl the web like Google does. When someone asks Claude about the best project management tools, the model isn't searching your website in real-time. It's pulling from training data that stopped months or years ago.
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Scored by Engagemii on August 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/xaigent-net
Cite this score: Engagemii (2026). "AEO Score for xAIgent." Retrieved from https://engagemii.com/aeo/brands/xaigent-net
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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