AI Visibility Scorecard
core.iscc.codes · Technology
Somewhat visible. AI bots can read ISCC, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 11 times
Claude · Apple Intelligence · Meta AI
#126,531 of 2,707,329 in Technology for AI visibility
6
AEO Visibility
iVisible · 6.1/10
5
Muse Index Score
iAI agent readiness
Basic · 5/100
0
AI Adoption
iNone detected · 0/100
from our crawl and measurement
ISCC describes itself simply: "International Standard Content Code - Core algorithms python implementation." Its AI visibility score is 6.1 out of 10: the engines can find it, but they do not have much to hold on to.
Our crawl found a sitemap and a readable heading structure. It is missing structured data describing the business and an llms.txt file.
AI crawlers have visited 2 times in our tracking, including ClaudeBot (Anthropic) and Applebot (Siri).
Strong · Good · Fair · Weak
Structured Data
Weak
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
Good
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
Strong
Recognized in AI knowledge graphs.
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 6.1/10, ISCC has a working base to build on - fixable, and the signals above are where to start.
What is the ISCC#?
The ISCC is a similarity preserving fingerprint and identifier for digital media assets. ISCCs are generated algorithmically from digital content, just like cryptographic hashes. However, instead of using a single cryptographic hash function to identify data only, the ISCC uses various algorithms to create a composite identifier that exhibits similarity-preserving properties (soft hash).
What is iscc-core#?
iscc-core is the python based reference implementation of the ISCC core algorithms as defined by ISO 24138. It is also a good reference for porting ISCC to other programming languages. Tip This is a low level reference implementation that does not inlcude features like mediatype detection, metadata extraction or file format specific content extraction.
Is this your brand?
The exact fixes for ISCC
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Your potential customers are asking ChatGPT, Gemini, and Claude questions about your product category. These AI models are giving answers without sending traffic to your website. You're not losing rank. You're losing visibility entirely.
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Scored by Engagemii on August 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/core-iscc-codes
Cite this score: Engagemii (2026). "AEO Score for ISCC." Retrieved from https://engagemii.com/aeo/brands/core-iscc-codes
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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