AI visibility score
5.2/ 10Fair

▲ 0.2 since Jun 2026

#667,372 of 2,707,519 in Technology

As of 2026-08-01 · Engagemii indexCheck another site →The index →

AI Visibility Scorecard

VerifyFetch

VerifyFetch

Unclaimed

verifyfetch.com · Technology

Somewhat visible. AI bots can read VerifyFetch, but it is missing the structured signals that push citation rate above competitors.

AI engines read this profile 9 times

Claude · ChatGPT · Meta AI · Apple Intelligence

#667,372 of 2,707,519 in Technology for AI visibility

5

AEO Visibility

i

Borderline · 5.2/10

65

Muse Index Score

i

AI agent readiness

Transactable · 65/100

4

AI Adoption

i

Basic · 4/100

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About VerifyFetch

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. Its AI visibility score is 5.2 out of 10: the engines can find it, but they do not have much to hold on to.

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.

Industry · Technology
Last scored · Aug 1, 2026

The 6 signals AI reads

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.

Off-page authority

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.

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 5.2/10, VerifyFetch has a working base to build on - fixable, and the signals above are where to start.

Frequently Asked Questions

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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Picked for VerifyFetch: How-To

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 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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