AI Visibility Scorecard
retail100objects.com · Technology
Borderline visible. AI bots can crawl The History of Retail in 100 Objects, 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 2 times
Claude · Apple Intelligence
#1,871,465 of 2,704,149 in Technology for AI visibility
4
AI Naming Predictability
iRarely named · 4/100
Technology average 28
Top 86% of Technology
See what's behind this score →3.5
-
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 →0
0
from our crawl and measurement
"You will see from the 100 objects in this book that retailers have always been pioneers and innovators. How they always embrace and use technology." That is how The History of Retail in 100 Objects introduces itself. To AI engines like ChatGPT and Perplexity, though, it is barely visible: it scores 3.5 out of 10.
The site gets some of it right: it has structured data on the page (WebPage, BreadcrumbList, WebSite), a readable heading structure, substantial page content. What holds it back is what is absent, including an llms.txt file, a sitemap.
Strong · Good · Fair · Weak
Structured Data
Weak
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Good
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
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
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.
Your AEO score measures whether AI search engines (ChatGPT, Claude, Perplexity, Gemini) can read your site and name it in answers. At 3.5/10, The History of Retail in 100 Objects is crawlable but under-signaled - fixable, and the signals above are where to start.
How does the Abacus contribute to retail history?
The abacus, or beads on a board, provided an easier and more sophisticated retail transaction methodology and was actually the bridge from pebbles, twigs and lines in the sand to the first calculator. The abacus simplified the mathematical process for merchants and traders and was used for about 3,600 years until the first mechanical calculator appeared in 1642.
How did the Selfridges Lavatory contribute to retail history?
The new well-off urban population was attracted in their thousands, not just to shop, but also to socialize, often spending the entire day out in the process.
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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/retail100objects
Cite this score: Engagemii (2026). "AEO Score for The History of Retail in 100 Objects." Retrieved from https://engagemii.com/aeo/brands/retail100objects
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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