AI Visibility Scorecard
firecompass.com · Technology
Visible to AI search. AI engines can read FireCompass, and E-E-A-T Signals, News & Press and Community are what would get it named ahead of competitors.
AI engines read this profile 10 times
Meta AI · Claude · Parallel
Top 5% in Technology for AI visibility
85
AI Naming Predictability
iNamed sometimes · 85/100
Technology average 28
Top 2% of Technology
See what's behind this score →6.54
-
Network Authority
iNot connected yet
0 relationships on record. Businesses in Technology average 4. Claim your page and Engagemii is your first.
See what's behind this score →55
Muse Index Score
iAI agent readiness
Agent-ready · 55/100
Technology average 17
See what's behind this score →12
from our crawl and measurement
FireCompass describes itself simply: "FireCompass is an agentic AI penetration testing platform for web apps and APIs. Discover every asset, prove exploits, and chain attack paths. Under 2% FPR." To AI engines like ChatGPT and Perplexity it is visible, scoring 6.54 out of 10, with a few gaps left to close.
Our crawl found structured data on the page (WebPage, ImageObject, BreadcrumbList), an llms.txt file for AI models and a sitemap.
AI crawlers have read this profile 10 times in our tracking, including Meta AI, ClaudeBot (Anthropic) and ShapBot (Parallel).
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
Good
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.
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
-
Not yet measured.
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 read your site and name it in answers. At 6.54/10, FireCompass is visible with gaps to close; the signals above show which.
What is agentic AI penetration testing?
Agentic AI penetration testing uses autonomous AI agents to find, exploit, and chain vulnerabilities like an attacker, then a human expert validates the highest-risk findings before they reach you.
How is it different from a vulnerability scanner or DAST?
A scanner flags possible issues and produces 40 to 70% false positives. FireCompass runs the exploit to prove the issue is real, keeping false positives under 2%.
How is FireCompass different from single-shot autonomous tools?
Point-and-shoot tools attack one target and stop. FireCompass discovers your surface first, pentests it, then chains findings into multi-stage attack paths across apps and network.
Is it safe to run autonomous attacks on production?
Yes. You control what agents can touch, every action is transparent, and exploitation is validated to confirm impact without disruption.
How do you keep the AI agents safe and governed?
Agents run inside scope guardrails your team sets, never exfiltrate real data, and log every plan and action to a full audit trail you can use to evidence SOC 2, PCI DSS 4.0, and DORA requirements.
How fast is a pen test and what does it cost?
About one day, against two or more weeks for traditional testing, and roughly 11x cheaper. One Fortune 500 app dropped from about $5,000 to under $1,000.
Does it replace human pentesters?
No. Agents handle scale and speed. Experts validate sensitive tests and business logic.
When a buyer asks ChatGPT which company to use, two different things can happen. ChatGPT can name a company in its answer. Or it can link to a web page as a source. Most advice about AI visibility is about the second one. Our data says the first one is what matters.
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Scored by Engagemii on November 9, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/firecompass
Cite this score: Engagemii (2026). "AEO Score for FireCompass." Retrieved from https://engagemii.com/aeo/brands/firecompass
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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