AI Visibility Scorecard
ROIzilla
agentcontextgraph.com · Nonprofits
Borderline visible. AI bots can crawl ROIzilla, 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
#289,301 of 827,020 in Nonprofits for AI visibility
5
AEO Visibility
iBorderline · 4.9/10
45
Muse Index Score
iAI agent readiness
Agent-ready · 45/100
?
AI Adoption
iNone detected · -/100
About ROIzilla
from agentcontextgraph.com
An agent context graph is the structured working set of entities, relationships, state, and policies an AI agent operates over for a given task. Definition, comparison with RAG and agent memory, and F
The 6 signals AI reads
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
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
Strong
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Good
Sitemaps and entity links AI can follow.
Off-page authority
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.
What this score means
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 4.9/10, ROIzilla is crawlable but under-signaled - fixable, and the signals above are where to start.
Frequently Asked Questions
What is an agent context graph?
An agent context graph is to an AI agent what a workbench is to a technician: only the relevant parts, laid out in relation to each other, within reach. When an agent is assigned "process this refund," the task implicitly touches a small universe — the customer, the order, the payment method, the contract terms, the refund policy, the fraud flags.
Why do agents need graph-structured context?
Because agent failures are usually relationship failures. Watch agents go wrong in production and a pattern emerges: the model rarely fails at language; it fails at knowing that this order belongs to that contract, that this approver outranks that policy exception, that these two tickets describe the same incident.
Is this your brand?
The exact fixes for ROIzilla
Which AI engines already crawl you
Free AI bot monitoring: see every AI crawler that visits you
How to Get Your Brand Cited by ChatGPT, Gemini, and Claude: The Complete AEO Guide
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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Source & Attribution
Scored by Engagemii on September 6, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/agentcontextgraph
Cite this score: Engagemii (2026). "AEO Score for ROIzilla." Retrieved from https://engagemii.com/aeo/brands/agentcontextgraph
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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