AI Visibility Scorecard
Next
ngff.openmicroscopy.org · Technology
Somewhat visible. AI bots can read Next, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 4 times
Claude · Apple Intelligence
#393,528 of 2,707,329 in Technology for AI visibility
6
AEO Visibility
iBorderline · 5.5/10
5
Muse Index Score
iAI agent readiness
Basic · 5/100
0
AI Adoption
iNone detected · 0/100
About Next
from our crawl and measurement
"This site is dedicated to providing resources for the NGFF community and those that are interested in getting started with OME-Zarr." That is how Next introduces itself. Its AI visibility score is 5.5 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).
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
Weak
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
Fair
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Fair
Sitemaps and entity links AI can follow.
Off-page authority
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
Good
Forum and community discussion.
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 5.5/10, Next has a working base to build on - fixable, and the signals above are where to start.
Frequently Asked Questions
What is an OME-Zarr?#?
An OME-Zarr is a file format optimized for storing, viewing, & sharing large images.
Why would I use OME-Zarr?#?
OME-Zarr files have two major benefits: Chunking is inherent to “Zarr” files. This means “Zarr” files are stored in independently-accessible blocks.
When would I not use OME-Zarr?#?
If your file isn’t very big and you’re working with local data, the current specification of OME-Zarr can be less convenient than a single-file format and the benefits are limited. Planned expansions to the OME-Zarr specification will make it more convenient to work with it in these scenarios (e.g. single-file Zarrs) and add features that might make it beneficial to use OME-Zarr even in these scenarios (e.g.
Who is using OME-Zarr?#?
These are some of the organizations (and their dataset pages) that are using OME-Zarr for their data. Allen Institute biohub Broad Institute EMBL - Image Data Resource (IDR) Howard Hughes Medical Institute, Janelia (HHMI) Jackson Laboratory (JAX) … and more
Is this your brand?
The exact fixes for Next
Which AI engines already crawl you
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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/ngff-openmicroscopy-org
Cite this score: Engagemii (2026). "AEO Score for Next." Retrieved from https://engagemii.com/aeo/brands/ngff-openmicroscopy-org
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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