Every public-facing bakery website in Elgin, IL was put through the same 34-signal battery in a single week. The median score is 50.5 out of 100 and 51 points separate the strongest site from the weakest. This page shows what the market looks like from the outside. The report shows where each business sits inside it.
Every figure below is measured, not estimated. The full per-business breakdown is in the report.
The field is not uniformly weak — it is lopsided. Presence is the collective strength at a median of 91, while Content sits at 25: a 66-point gap. These 6 businesses are markedly better at building a working website than at saying anything on it, proving anything with it, or making any of it legible to an AI assistant.
Found, Understood, Trusted — each worth a third of the score, each measured identically for every business in the market. Orange marks a stage where the median site is failing.
10 of the 34 signals are weak for at least three-quarters of the market — among them directory citations, blog / articles present, FAQ content present, licenses, insurance, certifications shown. Because nearly everyone is failing them, they are the cheapest differentiation available in this market: one operator fixing them moves against a field that has not.
This map shows the measured storefronts included in the study, making it easy to see the local competitive set and how tightly the market is clustered.
The report still keeps scores and rankings behind the purchase. This page shows measured businesses only.
Listed alphabetically. Each one was tested on the same 34 signals, in the same week, under the same conditions.
Scores describe a public website only — not the quality of anyone's baking, service, or business. A low score means an AI assistant cannot easily read, understand, or verify the site. It is a marketing finding, not a judgement of the company.
A PDF report, an interactive dashboard, and the scored dataset. Delivered the day you buy.
All 6 measured businesses ranked by overall FUT score, with the three FUT stages and six pillars behind each one. You see exactly who is ahead of you and by how much.
The complete 34-signal matrix as a spreadsheet you keep. Sort it, filter it, re-cut it, put it in a pitch deck.
Distribution, percentile bands, human-facing versus machine-facing readiness, and the signals where the entire market is exposed.
The specific signals that almost nobody in this market has bothered with, ranked by how cheaply they can be claimed.
A searchable, sortable HTML dashboard of the whole dataset. No login, no subscription, opens in a browser.
What was measured, how each signal was scored, what the coverage limits are, and what the study deliberately does not claim.
The report tells you where you stand. The subscription tells you what to do about it, and then checks whether it worked.
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The subscription includes an action plan built against your own website, so we set it up with you rather than through a checkout page. Tell us who you are and we will have it back to you within one business day.
The business list was assembled from public listings and live AI queries for bakeries in Elgin, IL, then every public-facing website in it was tested on the same 34 signals within a single fieldwork window (September 20, 2026). Signals are grouped into the pillars a customer — or an AI assistant answering on their behalf — moves through: can they find you, can they understand what you do, and can they trust you enough to call. Coverage limits and the full scoring rules are stated in the report rather than summarised here. Figures on this page describe that fieldwork window and will change as sites change.
Every market and industry we have measured, and the ones in fieldwork now.
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