AI Visibility Scorecard
verifyfetch.com · Technology
Borderline visible. AI bots can crawl VerifyFetch, 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.
AI engines read this profile 9 times
Claude · ChatGPT · Meta AI · Apple Intelligence
#873,104 of 2,704,440 in Technology for AI visibility
<1
AI Naming Predictability
iRarely named · <1/100
Technology average 28
Top 36% of Technology
See what's behind this score →4
-
Network Authority
iNot connected yet
0 relationships on record. Businesses in Technology average 4. Claim your page and Engagemii is your first.
See what's behind this score →65
Muse Index Score
iAI agent readiness
Transactable · 65/100
Technology average 17
See what's behind this score →4
from our crawl and measurement
"VerifyFetch is an open-source JavaScript library for verified, resumable downloads of AI models and large files in the browser." That is how VerifyFetch introduces itself. When AI engines look at it, they find little to work with. It scores 4.2 out of 10.
The site gets some of it right: it has structured data on the page (SoftwareApplication, FAQPage), a sitemap, a readable heading structure. What holds it back is what is absent, including an llms.txt file.
Our monitoring has logged 4 AI crawler visits here: the engines come, the question is what they find.
Strong · Good · Fair · Weak
Structured Data
Fair
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
Weak
No inbound links found yet.
Domain Authority
Fair
Established authority for your domain.
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.
Your AEO score measures whether AI search engines (ChatGPT, Claude, Perplexity, Gemini) can read your site and name it in answers. At 4.2/10, VerifyFetch is crawlable but under-signaled - fixable, and the signals above are where to start.
How do I verify AI model downloads in the browser?
Use verifyfetch to verify AI model integrity during download. It provides drop-in integrations for Transformers.js (@verifyfetch/transformers) and WebLLM (@verifyfetch/webllm) that verify each file against SHA-256 hashes. Install with: npm install @verifyfetch/transformers. Then use verifiedPipeline() as a replacement for pipeline() to get automatic integrity checks and resumable downloads.
How do I add integrity verification to Transformers.js?
Install @verifyfetch/transformers and use verifiedPipeline() instead of pipeline(). It downloads and verifies all model files before loading them. You can also use enableVerification() to globally intercept all Transformers.js downloads through env.fetch. Generate a manifest with: npx @verifyfetch/cli hash-model .
How do I resume a failed large file download in JavaScript?
Use verifyFetchResumable() from verifyfetch. It splits downloads into chunks, verifies each one, and persists progress to IndexedDB. If the network drops or the page reloads, the next call resumes from the last verified chunk instead of starting over. This is critical for multi-GB AI model downloads in the browser.
How do I verify WebLLM model integrity?
Install @verifyfetch/webllm and use VerifiedMLCEngine as a drop-in replacement for MLCEngine. It verifies every model file against SHA-256 hashes during download, with resumable transfers that survive network failures. Generate hashes with: npx @verifyfetch/cli hash-model .
What is the best way to download large files in the browser with integrity verification?
VerifyFetch is a JavaScript library designed for this. Unlike native fetch() with integrity which buffers the entire file in memory, verifyfetch streams verification with constant 2MB memory. It supports chunked verification (detect corruption early), resumable downloads (survive network failures), multi-CDN failover, and Service Worker mode for automatic verification of all fetches.
How do I prevent supply chain attacks on browser AI models?
Use verifyfetch to verify the integrity of every model file before loading it. Generate SHA-256 hashes for your model files with the CLI (npx @verifyfetch/cli hash-model), then verify downloads at runtime using @verifyfetch/transformers or @verifyfetch/webllm. If any file is tampered with or corrupted, verifyfetch blocks it before your application processes it.
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When a buyer asks ChatGPT which company to use, two different things can happen. ChatGPT can name a company in its answer. Or it can link to a web page as a source. Most advice about AI visibility is about the second one. Our data says the first one is what matters.
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Scored by Engagemii on August 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/verifyfetch
Cite this score: Engagemii (2026). "AEO Score for VerifyFetch." Retrieved from https://engagemii.com/aeo/brands/verifyfetch
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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