AI Visibility Scorecard
scope23.ai · Technology
At 2.1/10, Scope23 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 11 times
Meta AI · Apple Intelligence · ChatGPT · Claude
#1,929,682 of 2,706,160 in Technology for AI visibility
0
AI Naming Predictability
iRarely named · 0/100
More likely to be named than 36% of Technology companies
2
AEO Visibility
iNear-invisible · 2.1/10
40
Muse Index Score
iAI agent readiness
Agent-ready · 40/100
8
AI Adoption
iBasic · 8/100
from our crawl and measurement
"Track, manage and visualize your company's Scope 3 emissions at scale. Receive lane-level recommendations for reducing CO2e emissions in your supply chain." That is how Scope23 introduces itself. To AI engines like ChatGPT and Perplexity it is close to invisible, scoring 2.1 out of 10.
Our crawl found structured data on the page (WebPage, BreadcrumbList, WebSite), a sitemap and a readable heading structure. It is missing an llms.txt file.
AI crawlers have visited 4 times in our tracking, including GPTBot (ChatGPT), ClaudeBot (Anthropic) and Applebot (Siri).
Strong · Good · Fair · Weak
Structured Data
Good
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
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 2.1/10, Scope23 is crawlable but under-signaled - fixable, and the signals above are where to start.
How do I visualize my emissions intensity for my existing carriers?
Emissions Intensity can be found within the Track feature within Greensight under Carrier. Here you will see each carrier ranked by emissions intensity (gCO2e ton-mile-of-freight) along with total emissions (tCO2e)
How do I visualize my emissions intensity for my existing carriers?
Emissions Intensity can be found within the Track feature within Greensight under Carrier. Here you will see each carrier ranked by emissions intensity (gCO2e ton-mile-of-freight) along with total emissions (tCO2e).
How can I see lane-level recommendations across my entire supply chain?
Within Act >>Decarb Levers, you can find the Greensight recommendations for your supply chain, by region. Upon selecting a region you will then be shown all lane-level recommendations and options for lowering GHG emissions.
Can Scope23's Greensight platform use my shipping and bid information to provide recommendations?
Yes. Greensight has a built-in bid planning workflow where shippers can upload their bid information and where Greensight then scores the lanes and carriers to display the best options for decarbonization. We allow you to look through a sustainability lens when making supply chain selections.
How does the Greensight platform help shippers with lane planning?
Within Act >> Lane Planning, Greensight allows shippers to input an OD pair and receive recommendations for how to decarbonize by individual lane. Options for emissions, cost, time, carrier, fuel and mode are presented to the shipper.
Is this your brand?
The exact fixes for Scope23
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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/scope23-ai
Cite this score: Engagemii (2026). "AEO Score for Scope23." Retrieved from https://engagemii.com/aeo/brands/scope23-ai
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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