AI visibility score
5.1/ 10Fair

▲ 0.1 since Jun 2026

#846,406 of 2,707,789 in Technology

As of 2026-07-31 · Engagemii indexCheck another site →The index →

AI Visibility Scorecard

FireCodes AI

FireCodes AI

Unclaimed

firecodes.ai · Technology

Somewhat visible. AI bots can read FireCodes AI, but it is missing the structured signals that push citation rate above competitors.

AI engines read this profile 6 times

Claude · Apple Intelligence · Meta AI

#846,406 of 2,707,789 in Technology for AI visibility

5

AEO Visibility

i

Borderline · 5.1/10

35

Muse Index Score

i

AI agent readiness

Agent-ready · 35/100

12

AI Adoption

i

Basic · 12/100

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About FireCodes AI

from our crawl and measurement

FireCodes AI, based in Boca Raton, FL, describes itself simply: "FireCodes AI is an AI-powered fire code research and compliance platform built for fire protection engineers, consultants, inspectors, designers, and AHJs." Its AI visibility score is 5.1 out of 10: the engines can find it, but they do not have much to hold on to.

Our crawl found structured data on the page (Organization), 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 Applebot (Siri).

Industry · Technology
Last scored · Jul 31, 2026

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

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.

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 5.1/10, FireCodes AI has a working base to build on - fixable, and the signals above are where to start.

Frequently Asked Questions

What types of fire codes does FireCodes AI cover?

FireCodes AI includes up-to-date, state-adopted fire codes focused on key areas like fire sprinklers, fire alarms, and fire life safety systems, among others.

How accurate is the information provided by FireCodes AI?

FireCodes AI provides relevant sections from your state’s fire code, helping you quickly find the information needed for engineering and compliance. However, users apply their own expertise to interpret and apply the code effectively.

Can FireCodes AI assist with compliance for specific state regulations?

Absolutely. FireCodes AI is built around state-specific regulations only, allowing you to select the code books that match your location and project requirements.

Is FireCodes AI suitable for all fire code professionals?

Yes, FireCodes AI is designed for a wide range of professionals, including fire protection engineers, general contractors, and fire inspectors.

How does FireCodes AI stay updated with the latest fire codes?

Our platform continually monitors state publications to ensure it includes the most recent fire code updates available.

Is this your brand?

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The exact fixes for FireCodes AI

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Picked for FireCodes AI: How-To

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 July 31, 2026. Methodology: engagemii.com/aeo/methodology

Source URL: https://engagemii.com/aeo/brands/firecodes-ai

Cite this score: Engagemii (2026). "AEO Score for FireCodes AI." Retrieved from https://engagemii.com/aeo/brands/firecodes-ai

Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.

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