AI visibility score
5.4/ 10Fair

#100,104 of 2,705,507 in Technology

As of 2026-10-25 · Engagemii indexCheck another site →The index →

AI Visibility Scorecard

WARNTracker

WARNTracker

Unclaimed

warntracker.com · Technology

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

AI engines read this profile 10 times

Claude · Meta AI · Apple Intelligence · Amazon Alexa

#100,104 of 2,705,507 in Technology for AI visibility

61

AI Naming Predictability

i

Named sometimes · 61/100

Top 2% of Technology

5

AEO Visibility

i

Borderline · 5.4/10

20

Muse Index Score

i

AI agent readiness

Basic · 20/100

2

AI Adoption

i

Basic · 2/100

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About WARNTracker

from our crawl and measurement

"Deeper insights into layoffs. Track layoffs live from WARN reports. Learn how these government-reported layoffs are affecting levels, roles & salaries." That is how WARNTracker introduces itself. To AI engines like ChatGPT and Perplexity it is partially visible, scoring 5.4 out of 10, readable in places and missing in others.

Our crawl found structured data on the page (WebSite, FAQPage), a sitemap and a readable heading structure. It is missing an llms.txt file.

AI crawlers have visited 10 times in our tracking, including ClaudeBot (Anthropic), Applebot (Siri) and Meta AI.

Industry · Technology
Last scored · Oct 25, 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

Strong

Inbound links from other sites.

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

Fair

Forum and community discussion.

Social Mentions

Good

Social discussion and mentions.

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 5.4/10, WARNTracker has a working base to build on - fixable, and the signals above are where to start.

Frequently Asked Questions

Where is this data from?

This database has been built using publicly-available information that employers are required to file with certain states when they perform large layoffs.

What is WARN?

A WARN (Worker Adjustment and Retraining Notification) notice is a notice required by the federal WARN Act in the United States, which mandates that employers with 100 or more employees provide at least 60 days advance written notice of a plant closing or mass layoff affecting 50 or more employees. The notice is intended to provide affected employees with sufficient time to prepare for the loss of their jobs and to seek alternative employment. This is also why some of the layoff dates in our tracker are in the future. For more details, https://www.warntracker.com/blog/warn-act-guide

How does WARN work in different states?

Some states have their own "mini-WARN" laws that provide additional protections or cover smaller employers not covered by the federal law. For example, California has a state law known as the California WARN Act, which covers employers with 75 or more employees and provides some additional protections, such as requiring notice to be given to employees who are terminated as well as the state. In New York, the state's Mini-WARN Act requires employers with 50 or more employees to provide 90 days' notice of a plant closing or mass layoff. So, the specifics of the WARN notice re

Is this data exhaustive?

No. Because not all states have a WARN act which requires full disclosure, this does not capture all layoffs performed by these companies.

How did you collect this data?

We get our WARN data from a combination of: requesting records from state government agencies directly, news sources, and double checking with various layoff trackers

Where can I contact the owners or submit feature requests?

Please use this form if you have any questions, want to request data on a layoff, or have feature requests: https://www.warntracker.com/submit-feedback

Who are you?

We are two long-time software engineers who wanted to help our friends understand the broader layoff environment. Here are our LinkedIns: https://www.linkedin.com/in/christophertalley/ , https://www.linkedin.com/in/stevenqzhang/

How do you differ from other tech layoff trackers?

We are following individual WARN records from government entities, rather than crowdsourced data. Most of these records indicate exact offices and employee counts affected at each office, rather than just a single overall number for the entire company. These records are often more exhaustive than the crowdsourced data. This means they reflect small layoffs, as well as layoffs from companies which may not be large enough to be announced in the press. The timeline for filing these notices can vary -- they may be made available before or after a public announcement, so if you really want to stay

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Picked for WARNTracker: How-To

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Source & Attribution

Scored by Engagemii on October 25, 2026. Methodology: engagemii.com/aeo/methodology

Source URL: https://engagemii.com/aeo/brands/warntracker

Cite this score: Engagemii (2026). "AEO Score for WARNTracker." Retrieved from https://engagemii.com/aeo/brands/warntracker

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

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