AI Visibility Scorecard
neutreeno.com · Technology
Borderline visible. AI bots can crawl Neutreeno, 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 6 times
Meta AI · Claude · ShapBot
#860,026 of 2,705,505 in Technology for AI visibility
2
4
AEO Visibility
iBorderline · 4.2/10
40
Muse Index Score
iAI agent readiness
Agent-ready · 40/100
0
AI Adoption
iNone detected · 0/100
from our crawl and measurement
Neutreeno describes itself simply: "Neutreeno is the world's first company to use emissions intelligence to improve business performance while decarbonising." When AI engines look at it, they find little to work with. It scores 4.2 out of 10.
Our crawl found structured data on the page (Organization, FAQPage), a sitemap and a readable heading structure. It is missing an llms.txt file.
AI crawlers have visited 3 times in our tracking, including ClaudeBot (Anthropic) and Meta AI.
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
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
Strong
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 4.2/10, Neutreeno is crawlable but under-signaled - fixable, and the signals above are where to start.
What is Neutreeno?
Neutreeno is a supply chain decarbonisation platform built by climate scientists and engineers from the University of Cambridge. It analyses how products are actually manufactured across multi-tier supply chains, identifies where Scope 3 emissions and costs are highest, and delivers a prioritised reduction plan in weeks. Unlike carbon accounting tools, Neutreeno is built to change how products are made — not just measure the impact.
Is Neutreeno a carbon accounting platform?
No. Carbon accounting platforms measure and report emissions. Neutreeno identifies where emissions come from, what they cost, and what to change to reduce them. The distinction matters: measurement tells you what happened, Neutreeno tells you why and what to do next.
What does Neutreeno do?
Neutreeno analyses how your products are manufactured across your supply chain, maps where emissions and inefficiencies are highest, and delivers a ranked action plan your team can execute. It works with the data you already have, gets more accurate as more data comes in, and updates automatically as your supply chain changes.
How long does it take to get started with Neutreeno?
Neutreeno delivers an emissions baseline and initial reduction strategies in weeks rather than months. The system requires significantly less supplier data than traditional methods, focusing on the minimum information needed to generate the highest-impact recommendations. You can start with the procurement and product data you already have.
How much supplier data do I need to get started?
Less than you might expect. Neutreeno is built on 40,000+ mapped production processes, meaning the system already understands how most products are made before you share a single data point. You provide the procurement and product data you already hold, and Neutreeno identifies exactly which additional data points would have the most impact — so collection is targeted, not exhaustive.
How is Neutreeno's methodology different from other emissions tools?
Most emissions tools apply industry averages or spend-based factors to estimate Scope 3 emissions. These are fast but inaccurate — they treat every supplier producing the same product identically, regardless of the processes, geography, or energy sources they actually use. Neutreeno maps real production processes at the facility level, giving companies the specificity to identify which suppliers are efficient, which are wasteful, and what changing them is worth.
What is Scope 3 and why is it difficult to measure?
Scope 3 emissions are the indirect emissions in a company's value chain — everything upstream in the supply chain and downstream in product use and disposal. They typically represent over 70% of a company's total carbon footprint but are the hardest to measure because they sit across thousands of suppliers using different processes, geographies, and energy sources.
Can I use Neutreeno for my Scope 3 reporting?
Yes. Neutreeno generates precise, science-based emissions measurements across your supply chain that are accurate enough to report with confidence. Because the system models how your products are actually manufactured rather than relying on industry averages, your reported figures reflect what is genuinely happening in your supply chain. Neutreeno also delivers a reduction plan alongside the numbers — so reporting and action are connected, not separate.
Is this your brand?
The exact fixes for Neutreeno
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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 August 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/neutreeno
Cite this score: Engagemii (2026). "AEO Score for Neutreeno." Retrieved from https://engagemii.com/aeo/brands/neutreeno
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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