AI Visibility Scorecard
groundlight.ai · Technology
Borderline visible. AI bots can crawl Groundlight, 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 5 times
ChatGPT · Apple Intelligence · Claude · Meta AI
#566,360 of 2,705,505 in Technology for AI visibility
12
5
AEO Visibility
iBorderline · 4.7/10
50
Muse Index Score
iAI agent readiness
Agent-ready · 50/100
0
AI Adoption
iNone detected · 0/100
from our crawl and measurement
Groundlight is a business whose own site puts it this way: "Groundlight is a computer vision platform that enables you to interpret images using simple English natural language and minimal code, providing instant results to yes or no answers." To AI engines like ChatGPT and Perplexity, though, it is barely visible: it scores 4.7 out of 10.
Our crawl found structured data on the page (Organization, WebSite, FAQPage), a sitemap and a readable heading structure. It is missing an llms.txt file.
AI crawlers have visited 5 times in our tracking, including GPTBot (ChatGPT), Applebot (Siri) and ClaudeBot (Anthropic).
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
Strong
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Fair
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
Strong
Inbound links from other sites.
Domain Authority
Fair
Established authority for your domain.
Reference Presence
Weak
Not in AI knowledge graphs yet.
News & Press
Weak
No press coverage found yet.
Community
Fair
Forum and community discussion.
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 4.7/10, Groundlight is crawlable but under-signaled - fixable, and the signals above are where to start.
What is Groundlight?
Groundlight is a computer vision platform that enables developers to build reliable visual applications - no machine learning expertise required.
Do I need ML expertise to use Groundlight?
No. Groundlight abstracts away the complexity of computer vision. You can simply describe what you want in plain language.
How does Groundlight AI work?
Your images are first analyzed by ML models that are automatically trained on your data. If those models have high enough confidence, that's your answer. But if the models are unsure, then the images are progressively escalated to more resource-intensive analysis methods up to real-time human review. What you get is a computer vision system that starts working right away without first needing to gather and label a dataset. Initially, it will operate with high latency because people need to review the image queries, but over time, the ML systems will learn and improve so queries come back faste
What are some typical applications for Groundlight AI?
Some common applications and sectors we see often are: industrial, process control, inspections, mobile robot inspections, warehouse safety, and SOP monitoring.
Is this your brand?
The exact fixes for Groundlight
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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 October 25, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/groundlight-ai
Cite this score: Engagemii (2026). "AEO Score for Groundlight." Retrieved from https://engagemii.com/aeo/brands/groundlight-ai
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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