AI visibility score
3.5/ 10Weak

#2,265,557 of 2,705,698 in Technology

As of 2026-10-08 · Engagemii indexCheck another site →The index →

AI Visibility Scorecard

irmf/irmf: Infinite Resolution Materials Format (IRMF) Shaders

irmf/irmf: Infinite Resolution Materials Format (IRMF) Shaders

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irmf.io · Technology

Borderline visible. AI bots can crawl irmf/irmf: Infinite Resolution Materials Format (IRMF) Shaders, 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.

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In the Engagemii AEO index

#2,265,557 of 2,705,698 in Technology for AI visibility

0

AI Naming Predictability

i

Rarely named · 0/100

More likely to be named than 20% of Technology companies

4

AEO Visibility

i

Near-invisible · 3.5/10

0

Muse Index Score

i

AI agent readiness

Not agent-ready · 0/100

0

AI Adoption

i

None detected · 0/100

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About irmf/irmf: Infinite Resolution Materials Format (IRMF) Shaders

from our crawl and measurement

GitHub is one of the businesses we track in the Technology space. When AI engines look at it, they find little to work with. It scores 3.5 out of 10.

Our crawl found a readable heading structure. It is missing structured data describing the business, an llms.txt file and a sitemap.

Industry · Technology
Last scored · Oct 8, 2026

The 6 signals AI reads

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

Good

Experience, Expertise, Authority, Trust markers.

Technical AEO

Fair

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 3.5/10, irmf/irmf: Infinite Resolution Materials Format (IRMF) Shaders is crawlable but under-signaled - fixable, and the signals above are where to start.

Frequently Asked Questions

What is an “infinite resolution materials format (IRMF) shader?”?

An IRMF shader consists of two parts: a JSON blob description and a set of instructions used to determine what material is placed at any point in 3D space. What makes it a shader is that it is used simultaneously for every voxel (volumetric pixel) within the object. This means that the code has to behave differently for every (x,y,z) position within 3D space.

Do IRMF shaders really have infinite resolution?

Well, yes and no. They are currently limited by the resolution of a GPU's float representation. However, the IRMF shader itself is pure math and does not limit the resolution of the model, so IRMF is truly an appropriate term for the shaders as they are not the limiting factor. When GPUs have higher resolution in their numeric representations, no major changes will be needed to update the IRMF shaders...

How are IRMF shaders different from signed distance functions (SDFs)?

IRMF shaders are much easier to write than SDFs. In fact, one could write genetic programs to generate IRMF shaders.

What is the status of IRMF?

IRMF has evolved from a conceptual framework into a practical ecosystem for 3D printing and modeling. A comprehensive suite of converters (including stl-to-irmf, obj-to-irmf, binvox-to-irmf, svx-to-irmf, and dlp-to-irmf) enables the conversion of legacy 3D formats into IRMF shaders using techniques like lossless cuboid-merging and Fourier series approximation.

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Picked for irmf/irmf: Infinite Resolution Materials Format (IRMF) Shaders: How-To

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Source & Attribution

Scored by Engagemii on October 8, 2026. Methodology: engagemii.com/aeo/methodology

Source URL: https://engagemii.com/aeo/brands/irmf-io

Cite this score: Engagemii (2026). "AEO Score for irmf/irmf: Infinite Resolution Materials Format (IRMF) Shaders." Retrieved from https://engagemii.com/aeo/brands/irmf-io

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

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