Measurement & Reporting · 9 min read · September 26, 2026 · Hafsa Tariq, gaash.ai
An afternoon with the stock list: checking four assistants' answers
Set aside an afternoon, open the stock list and your own site, and put a dozen shoppers' questions to ChatGPT, Claude, Gemini and Perplexity. Read each answer against what was on the shelf and on your pages that day. You come away with a snapshot: which answers name the store, for what, which facts are wrong, and where each wrong fact came from.
What to have open before the first question
The check is a reading of your store's AI visibility on one day, so everything you read the answers against has to be from that day. Before you type anything, open:
- The day's stock list, exported from the register or the inventory system, with the brands and lines you carry and what is on the shelf.
- Your own pages: the brands page, each location page with its hours, the stock and pickup page, and the service pages.
- The Business Profile for each location, and any directory listings you know of.
- A sheet with one row per answer: the date, the assistant, the question, whether the store was named and for what, each fact the answer stated marked right or wrong, the page it cited, and the other stores it named.
- The four assistants, with web search on wherever an assistant offers the choice, run the same way for every question: signed in or not, and noted.
Run every question in one sitting. An answer read against Tuesday's shelf and another against Friday's cannot be compared, and a brand that came in on Thursday makes Tuesday's "wrong" right.
Twelve questions, written from the stock list
Write the questions from the stock list itself, not from memory. Take two categories you sell, two brands you carry, one brand you stopped carrying, one item that is on the shelf today, the conditions shoppers attach, and a few questions about the store by name. The brackets are yours to fill in:
| What it tests | As a shopper might type it | Read the answer against |
|---|---|---|
| A category you sell | "where to buy [category] in [city]" | Your category pages and the shelf |
| A second category | "[category] store near [neighborhood]" | The same |
| A brand you carry | "who carries [brand] in [city]" | The brands page and the stock list |
| A second brand | "[brand] [line] near me" | The same |
| A brand you dropped | "where can i buy [dropped brand] in [city]" | The date you stopped, and any page that still names it |
| An item on the shelf | "[item] in stock near me today" | The shelf, and the stock line on the product page with its time |
| A day of the week | "[category] store open sunday in [city]" | The location page and the Business Profile |
| A service | "[service] in [city]" | The service page: price, booking, turnaround |
| Closing time, by name | "what time does [store name] close today" | Today's hours, holiday changes included |
| Pickup, by name | "can i pick up an order at [store name] today" | The reserve-and-collect terms |
| A location, by name | "[store name] [neighborhood] address" | The locations you have open, and any you closed |
| What you are known for | "what is [store name] known for" | The categories and services you want named |
Twelve questions on four assistants make forty-eight answers, which is an afternoon's reading if each question runs once. Our published methodology asks each of its twelve questions once, of one assistant, Claude, and dates the reading, because answers differ from one run to the next; it reads how often you are named across the twelve and, with monitoring, across months. One afternoon is enough to find wrong facts; it is not enough to say how often you are named.
Reading each answer against the shelf and the site
For each answer, note first whether the store is named, and for what: a category, a brand, a service, a condition, or the store asked about by name. Then go fact by fact. Every brand the answer says you carry is checked against the stock list and the brands page, every day or time against the location page and the Business Profile, every stock or pickup claim against the shelf and the stock and pickup page, and every address against the locations you have open. Mark each fact right or wrong, and paste the whole answer into its row.
Then record the source. Where an assistant shows the pages it drew on, write down which: your own page (and which one), your Business Profile, a directory, a marketplace listing, another store's page, a review site or a forum. That source citation is where the trace of a wrong fact begins.
An answer with no source to show may have come from what the model learned before its knowledge cutoff. Anthropic describes its web search tool as giving Claude web content beyond that cutoff, with citations for the sources it draws from the results, and an answer written without a search has neither. That is one way a brand you dropped a year ago can still turn up.
Four wrong answers, and what to do about each
Four kinds of wrong answer have a fix a store can make within the week:
| The wrong answer | Where to look first | What to change |
|---|---|---|
| A brand you stopped carrying, named as carried | Your brands page, old category pages and posts, any product feed, and listings that name brands | Take it off every copy on the same day and add a dated line: "we stopped carrying [brand] on [date]", with where to go for servicing if you still offer it |
| Old hours, or open on a holiday you closed | The location page, the footer, the markup, and the Business Profile's regular and special hours | Make every copy agree today, and post the next holiday's hours before the date |
| A location that has closed | The locations page, the closed store's own page, its Business Profile and its listings | Close it on the profile and every listing, remove it from the markup, and send its page to the nearest open store with a dated note |
| A chain's page cited for a category or brand you carry | Whether your own page states that fact in text a crawler can read, and whether the maker's list of stockists names your store | State the fact on your page in plain words, ask the maker to correct its list if you are missing, and read the next month's answers |
The fourth case needs care. Which page an answer cites is the operator's choice, and no page of yours can settle it. What your page can do is state the fact the answer used, so that a page of yours is there to be cited. The routine for the first three is in the same-day change routine.
A wrong fact that appears nowhere, on no page you can find, is a different case, and may be a hallucination. Note it, look for it again next month, and do not rewrite your pages around it. For wrong facts on pages you cannot edit, and what the operators themselves document, see the article on wrong facts about a business.
The week after: fixing at the source
The sheet is only useful if something changes because of it. Work through it in this order, the same week, while the answers are fresh:
- Fix each wrong fact where it is written, starting with your own pages: the brands page, the hours on every copy, a closed location's page and its listings.
- Add the facts the answers had nothing for: a line on the brands page, a sentence about holds on the stock and pickup page, a service page that did not exist yet. Stating availability and pickup shows the shapes for the first two.
- Check each changed page the way a fetch for an answer sees it: view it with scripts off and confirm the new words are in the HTML.
- Ask the owners of pages you do not control, such as a directory or a maker's list of stockists, to correct what they show, and note the date you asked.
- Keep the sheet. Next month the same twelve questions are read against it, and it becomes the first row of the store's panel.
What one afternoon can tell you, and what it cannot
It tells you where the store stood on one day: which questions named it, for what, and which facts were wrong. It cannot tell you whether that will hold next week, or whether a change you make next month worked. For that, the same questions have to run again, unchanged, every month.
Our own probe was a snapshot of the same kind, run at scale. Beside our audit of 9,483 small business websites, we put one buyer question per business to Claude, with web retrieval on, on one day. Claude named 14.9% of the 9,240 businesses asked about, and 17.7% of the 5,928 answers that came back as a clearly differentiated list. Those figures cover all 40 trades, with no retail-only cut, and they are directional for the same reason an afternoon is.
To read change, turn the afternoon's questions into a fixed monthly panel; the monthly reading for one store shows how, and today's sheet becomes its first row. For Google's own AI features, Search Console's generative AI performance report adds impressions of your links in AI Overviews and AI Mode by page, country, date and device, though not the queries behind them. The guide for retail stores shows where the check fits among the other work.
Common questions
Should we run the check signed in to our own accounts?
Either can work, as long as every question is run the same way and the sheet says how: signed in or not, web search on or off, and which model the interface names. Next time, run it the same way again. A check run differently from the last one cannot be compared with it, so the note matters more than the choice.
One assistant names us and another doesn't. Which one is right?
Both are readings, and both go on the sheet. Each operator runs its own search and reads its own sources. Check that none of them is shut out by your robots.txt: the crawler access check reads the file for every answer-side AI crawler. Then compare what each answer cited, which can show which of your pages is missing a fact.
How often should we repeat the afternoon?
After any change a shopper would notice (a brand added or dropped, new hours, a move, a location closed) and before your busiest season, so the answers are read before the rush. For a trend, the monthly panel does the job better than repeated afternoons, because its questions and its runs stay fixed from one month to the next.
Can we correct a wrong answer directly?
What you can correct is the pages an answer draws on: your own first, then the listings you control, then pages other people own, by asking them. Keep the sheet row with the wrong fact, fix the source, and check the same question the next month. The article on wrong facts about a business, linked above, covers the pages you cannot edit.
Sources
The probe figures are this site's own: one question per business, on Claude, on one day, across all 40 trades of the audit, with no retail-only cut. What Anthropic's search tool and Search Console's report do is from their own documentation, linked where used.
Sources: our audit of 9,483 small-business sites, with its method · how the visibility score is measured · Anthropic, web search tool · Search Console Help, generative AI performance report
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