AI Visibility Scorecard
Net at Work
fandbatwork.com · Technology
Somewhat visible. AI bots can read Net at Work, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 5 times
Meta AI · Claude
#323,750 of 2,706,693 in Technology for AI visibility
6
AEO Visibility
iBorderline · 5.6/10
45
Muse Index Score
iAI agent readiness
Agent-ready · 45/100
0
AI Adoption
iNone detected · 0/100
About Net at Work
from our crawl and measurement
Food Manufacturing ERP Software is a th Floor New York, NY business whose own site puts it this way: "Business technology solutions and ERP implementation services." Its AI visibility score is 5.6 out of 10: the engines can find it, but they do not have much to hold on to.
Our crawl found structured data on the page (WebSite, Organization, WebPage) and a readable heading structure. It is missing an llms.txt file and a sitemap.
The 6 signals AI reads
Strong · Good · Fair · Weak
Structured Data
Strong
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Strong
Clear headings and answer-style content.
Entity Clarity
Strong
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Fair
Experience, Expertise, Authority, Trust markers.
Technical AEO
Fair
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Strong
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 5.6/10, Net at Work has a working base to build on - fixable, and the signals above are where to start.
Frequently Asked Questions
Are Challenges Like These Holding Your Business Back?
Compliance Trap One manual spreadsheet error can trigger a recall, a HARPC violation, or an allergen mislabeling lawsuit. Margin Leak Yield losses and batch variances are eroding your margins, and your current system can't pinpoint where. Recipe Drift Spreadsheets for recipes, inconsistent batches, and no version control make every production run feel like a gamble.
Why Net at Work?
Core Features FAQs Resources Contact Us FOOD & BEVERAGE AT WORKPowered by Sage X3 with AI Most ERP systems weren’t designed for the complexity of food and beverage manufacturing. They leave teams chasing lot traceability and guessing at batch costs. Margin erosion goes unnoticed, and formulas still live in spreadsheets.
Is this your brand?
The exact fixes for Net at Work
Which AI engines already crawl you
Free AI bot monitoring: see every AI crawler that visits you
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.
Continue reading in your free Engagemii portalFree signup unlocks the full article plus your personalized AEO fix list for Net at Work.
Source & Attribution
Scored by Engagemii on August 19, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/fandbatwork
Cite this score: Engagemii (2026). "AEO Score for Net at Work." Retrieved from https://engagemii.com/aeo/brands/fandbatwork
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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