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AI Visibility Scorecard
h33.ai · Technology
Somewhat visible. AI bots can read H33, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 4 times
ChatGPT · Claude · Apple Intelligence
#512,081 of 2,657,826 in Technology for AI visibility
5
AEO Visibility
iBorderline · 5.4/10
90
Muse Index Score
iAI agent readiness
Transactable · 90/100
8
AI Adoption
iBasic · 8/100
from our crawl and measurement
"H33 is a post-quantum AI and data security platform for encrypted computation, cryptographic verification, and replayable audit infrastructure." That is how h33.ai of Tampa, FL introduces itself. Its AI visibility score is 5.4 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, SoftwareApplication, WebSite), an llms.txt file for AI models and a sitemap.
AI crawlers have visited 3 times in our tracking, including ClaudeBot (Anthropic) and GPTBot (ChatGPT).
Higher is better · 0-10
Structured Data
9
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
10
Clear headings and answer-style content.
Entity Clarity
10
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
1
Experience, Expertise, Authority, Trust markers.
Technical AEO
10
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
8
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
1
Inbound links from other sites.
Domain Authority
2
Established authority for your domain.
Reference Presence
0
Not in AI knowledge graphs yet.
News & Press
0
No press coverage found yet.
Community
0
No community discussion yet.
Social Mentions
0
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 5.4/10, H33 has a working base to build on - fixable, and the signals above are where to start.
What is post-quantum cryptography?
Post-quantum cryptography (PQC) uses mathematical problems that quantum computers cannot solve efficiently — unlike RSA and ECC, which Shor's algorithm breaks. H33 implements NIST's finalized standards: ML-KEM (FIPS 203) for key encapsulation and ML-DSA (FIPS 204) for digital signatures. Every H33 API call is post-quantum end-to-end.
Is fully homomorphic encryption fast enough for production?
H33's BFV engine runs encrypted biometric matching at 35.25 microseconds per authentication — 2.21 million per second sustained on Graviton4. The optimization stack includes Montgomery NTT, Harvey lazy reduction, and NTT-domain fused inner products.
What are NIST FIPS 203 and 204 and do I need to comply?
FIPS 203 (ML-KEM/Kyber) and FIPS 204 (ML-DSA/Dilithium) are NIST's post-quantum cryptography standards, finalized August 2024. Federal agencies and their contractors must migrate. H33 is FIPS 203/204 compliant today.
Is reCAPTCHA GDPR compliant?
As of April 2, 2026, Google shifts reCAPTCHA from data controller to data processor — meaning you bear legal responsibility for all data it collects. H33-BotShield uses SHA-256 proof-of-work instead: no cookies, no fingerprinting, no personal data. GDPR compliant by architecture.
What is a CAPTCHA alternative that doesn't track users?
BotShield by H33 replaces CAPTCHA with invisible proof-of-work. The visitor's browser solves a SHA-256 challenge in 1-3 seconds — no images, no checkboxes, no behavioral tracking. Free for 2,500 challenges per month.
What is harvest now, decrypt later?
Adversaries are capturing encrypted data today to decrypt once quantum computers mature (estimated 2030-2035). If your authentication tokens or session keys use RSA or ECC, they're already at risk. H33's entire pipeline uses lattice-based cryptography that remains secure against quantum attacks.
How do I add post-quantum encryption to my app?
One API call. H33 handles FHE encryption, ZK-STARK proof generation, Dilithium signing, and biometric matching — all in 35.25 microseconds. Integrate via REST API, Python/Node/Rust/Go SDKs, or a single script tag for BotShield.
How does encrypted biometric matching work?
H33 performs the entire biometric match in encrypted space using BFV fully homomorphic encryption. Biometric data is encrypted on-device, transmitted encrypted, compared encrypted, and never exists in plaintext on any server. The result is a ZK-STARK proof revealing only match or no match.
Is this your brand?
The exact fixes for H33
Which AI engines already crawl you
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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 July 31, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/h33-ai
Cite this score: Engagemii (2026). "AEO Score for H33." Retrieved from https://engagemii.com/aeo/brands/h33-ai
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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