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Room 09 of 09 · the findings, in plain English

Seven findings from the live AI record.

What the shop's own logs show about pages served to AI systems, the visits those systems sent back, and the orders that followed.

All numbers are taken directly from the server records at the moment this page is built, and each finding links to the room that proves it. Nothing is modelled or estimated, but capture is not complete: requests answered from the cache in front of the server, or missed during a capture gap, do not appear. Read on 15 November 2026.

152,405 CREDITED PAGES SERVED TO AI AGENTS2,763 VISITS SENT BACK56.6 GB SENT ON CREDITED READS5 PAID ORDERS ON AN AI ASSISTANT'S TAGGED LINK, 3 KEPT
In one minute

The seven findings at a glance.

  1. Who takes, and who gives back. AI systems were served 152,405 pages and sent 2,763 visits back, 1,184 of them with verified source evidence. The exchange is very uneven between companies.
  2. What the visits bought. The visit tracker recorded 5 orders in visits it classed as AI; the order system shows 5 paid orders on an AI assistant's tagged link, 3 kept after refunds. The two are different populations.
  3. What feeding the machines takes. 56.6 GB of content has been sent on credited reads to 26 named machine agents (65.8 GB in logged bytes, all rows), measured as data sent, not as money.
  4. A checkout for assistants. A checkout path for assistants exists. No paid order has come through it in the last 30 days.
  5. Our own analytics were blind. Roughly a quarter of the visitors ChatGPT sent in September and October 2026 were never counted at first.
  6. Bots wearing famous names. Most requests in September that called themselves GrokBot or MistralAI were scanners looking for passwords.
  7. The crawler that ignored the rules. Amazonbot ignored the published limits. Its requests stay on the record and count towards nothing.
Section 01

Who takes, and who gives back.

AI systems were served 152,405 pages from this shop and sent 2,763 visits back. A further 18,803 are logged against Amazonbot. That figure overstates what it received, earns no credit and is left out of the total; finding 7 says why. The exchange is very uneven between companies. Agents naming OpenAI, the largest reader, were served 45,159 pages and 1,043 visits came back from it: about 43 pages for each visit. Agents naming DuckDuckGo were served 2,385 pages and 934 visits came back: about 2.6.

FamilyPages served to its agentsVisits it sent backPages served for each visit
OpenAI
agents: oai-searchbot, gptbot, chatgpt-user · visits from: chatgpt
45,1591,04343
Microsoft
agents: bingbot · visits from: bing-ai, copilot
41,56558371
Perplexity
agents: perplexitybot, perplexity-user · visits from: perplexity
33,06334too few to compare
Amazon
agents: amazonbot
18,803none recordedwithdrawn from credit
Anthropic
agents: claudebot, claude-user, anthropic-ai, claude-web · visits from: claude
15,0815too few to compare
Meta
agents: meta-externalagent, meta-externalfetcher
9,914none recordedno visit recorded
Google (GoogleOther, Google-Extended)
agents: googleother, google-extended · visits from: gemini
3,73347too few to compare
DuckDuckGo
agents: duckassistbot · visits from: ddg-ai
2,3859342.6
ByteDance
agents: bytespider
1,667none recordedno visit recorded
Other named agents
agents: ccbot, youbot, cohere, amzn-searchbot, generic
96none recordedno visit recorded
Mistral
agents: mistralai-user, mistral
7none recordedno visit recorded
xAI
agents: grokbot, xai-grok · visits from: grok
21too few to compare
Brave
visits from: brave-ai
none recorded97no agent recorded
Kagi
visits from: kagi
none recorded18no agent recorded
Alibaba Qwen
visits from: qwen
none recorded1no agent recorded
Pages column sums to 171,475 served reads across 26 named agents, the Room 03 total. Without the 18,803 logged against Amazonbot, which is withdrawn from credit, and the 267 the raw server log shows were refused, it is 152,405, the figure this page leads withVisits column sums to 2,763 AI referred sessions, the Room 03 total

Pages: the citation log grouped by agent, 2 Jun 2026 to 15 Nov 2026; a page counts when the server answered 200 or 206 and sent bytes. Visits: the session table, 10 May 2026 to 15 Nov 2026; a browser session whose referring address or campaign tag named an AI surface. Live, read at this render.

These columns describe recorded requests and classified referrals from separate sources. They are not joined journeys, and capture differs between services. The comparison describes recorded activity; it does not rank how good, generous or commercially useful any company is. Of the 2,763 visits, 1,184 are graded verified, 1,519 probable, 59 possible and 1 unknown: these are sessions, not people, and some sources also serve ordinary search. The Google row counts GoogleOther, a general Google crawler, and requests that called themselves Google-Extended, a name Google does not send.

Five cautions for reading this table (open to read them)
Read this table with five cautions. One: these are two tables with no shared key. No visit is matched to a page that was read, so the last column compares scale and proves no cause. Two: the windows start on different days, but all 2,763 visits fall inside the pages window, so the comparison is like for like. Three: a visit is only as certain as its evidence. 1,184 are graded verified, 1,519 probable, 59 possible and 1 unknown; DuckDuckGo, Bing, Brave and Kagi serve AI answers and ordinary search from the same address, so their visits are graded probable at best. Four: an agent name is what the software called itself, not a verified company, and Bingbot also feeds ordinary Bing search. Google's main search crawler is not counted here at all. Five: the visits column is a floor, and an uneven one. A visit is counted only when the browser arrived with a referring address or a campaign tag that names the assistant. Assistants that tag their links are counted well. A visit from an app that passes no referring address is not seen at all and looks like someone typing our address. So a company's real figure can be higher than its row, by an amount that differs between companies and that we cannot measure. For the same reason the last column is filled in only where a company has at least 1,000 pages and 100 visits: below that the ratio swings on a handful of visits, so the counts are shown and the ratio is not.
Section 02

What the visits bought.

2,763 visits arrived from AI answers, and the visit tracker recorded 5 completed orders among them. 1 of them was later refunded in full, and 4 are among the 5 paid orders the order system shows arriving on an AI assistant's tagged link; together the two counts cover 6 different orders (Room 02 sets out the overlap).

Visits from AI answers
2,763
10 May 2026 to 15 Nov 2026
Product pages viewed
419
In those visits
Add to basket actions
30
In those visits
Orders in these visits
5
Recorded by the visit tracker; 1 later fully refunded

Source: the session table, 10 May 2026 to 15 Nov 2026. Rule: sessions whose referring address or campaign tag named an AI surface; each step is counted on its own and never derived from the step above. Live.

The tracker's order count is not a lower bound of sales that came through AI: the visit tracker misses many visits, because the cache in front of our server answers an estimated two thirds of people's page views, and the AI visits it counts include probable ones that can be ordinary search. No conversion rate is published anywhere in this study. Room 02 reads the order system itself. Between 10 May and 15 November 2026, 5 of 161 paid orders arrived on a link carrying an AI assistant's own tag (all ChatGPT). Two were later fully refunded, leaving 3. One further order came via a service that serves both search and AI answers, and one customer told us an assistant sent them; neither is in the 5. Before that, on the first version of the shop, from 18 November 2025 to 9 May 2026, it took 75 more paid orders, so 236 in all since its first; our visit records do not reach back that far, so those orders carry no AI class. These records show an observed route under that rule; they do not show that AI caused the decision to buy. Our visit records begin on 10 May 2026; the per order origin record began on 6 October 2026 and was reconstructed back to 10 May. Room 02 sets out what the shop platform recorded about the 75 paid orders taken on the first version of the shop, from 18 November 2025 to 9 May 2026. An order placed after reading an AI answer and then typing our address carries no AI evidence at all, so the true figure may be higher.

Section 03

What feeding the machines takes.

The citation log holds 65.8 GB in logged bytes, all rows, for 26 named machine agents; 56.6 GB of it was sent on credited reads. That is content shipped from our own server, measured in bytes, not a count of pages. It measures recorded resource use, not the shop's hosting bill. It includes 7.1 GB logged against Amazonbot, which is withdrawn from credit.

AgentPages servedData sent (MB)
bingbot41,56516,852.3
perplexitybot33,06211,665.6
claudebot15,00610,673.1
amazonbot18,8037,271.5
oai-searchbot22,5056,354.1
The five largest by data sent: 51.6 GB of the 65.8 GB

Source: the citation log grouped by agent, 2 Jun 2026 to 15 Nov 2026. Rule: the sum of bytes our server sent. Requests answered from the cache in front of the server never reach this log, so the figure is a floor. 1 GB = 1,024 MB. Live.

Section 04

A checkout for assistants that nobody has paid through.

Since 6 October 2026 an AI assistant can search this shop, compare teas, fill a basket and hand its person a checkout link. Assistants have used the tools. In the last 30 days no paid order has come through them. We publish the empty result because it is the result.

Tools on the server
26
Read from the server at this render
External use (tool calls)
132
4 Oct 2026 to 14 Nov 2026 (completed UTC days); operational load, our own tests included: 2,328
Of which errors
0
Refusals and failures inside external use, same window
Checkout links opened
14
Opened in a browser, same window; every one on a day of our own tests
Paid orders through an assistant
0
Last 30 days

Source: the service record of the teas.co.uk MCP server, with the traffic class Room 08 keeps beside each call (rule tc1); completed UTC days. External use leaves out our own tests, provider review tests, directory scans, scripts, other automation and calls that cannot be classified; it is not customer demand. Operational load counts every answered call. Payment happens only on teas.co.uk, never inside an assistant. Live.

Section 05

Our own analytics were blind.

Roughly a quarter of the visitors ChatGPT sent in September and October 2026 were never counted, and of 94 orders only 4 carried the shop platform's own record of where they came from. These gaps came from this shop's own cache and attribution setup. Retailers with similar arrangements may meet related problems, but this study does not measure how common they are elsewhere.

The first page came from the cache
A visitor from ChatGPT landed on a page served from the cache, so the visit never reached our server. Our counter then ignored the campaign tag carried by the next request and filed the visit as a click from our own pages. Fixed on 6 October 2026; the missed arrivals were rebuilt once from our own server logs.
Orders with no origin
Of 94 orders from June to early October 2026, 4 had the shop platform's own attribution, which needs marketing consent, and our tracker filed 60 as internal navigation. Every order now gets an origin record with its evidence.
Remeasured
On 7 August 2026 only 33 of 139 real orders had reached the event tables the commerce columns are built from, most of them placed before the tracker existed. Remeasured on 15 November 2026, all 45 paid orders from 1 October to 13 November 2026 had. Still no conversion rate appears in this study: the cache in front of our server answers an estimated two thirds of people's page views, so the visit count is the unreliable half.

Source: the corrections record in Room 06, where each entry is dated, kept in the main text and never removed.

Section 06

Bots wearing famous names.

In September 2026 most requests to this server that called themselves GrokBot or MistralAI were scanners looking for passwords. They received an error and earned nothing. Anyone counting AI traffic by the name a request gives itself is counting these too.

This study records an agent under the name it gives and says so on every table: a name is a claim, not a verified company. What protects the figures is the rule that only a real page served is counted, and that an agent which breaks the published rules is withdrawn from credit with its history left in view.

Source: the mint record in Room 01 ("Borrowed names earn nothing") and the agent table in Room 03. Window: September 2026.

Section 07

The crawler that ignored the rules.

Amazonbot ignored the limits this shop published. Our log holds 21,796 requests from it, 18,803 of them recorded as served. Every one is kept on the record and counts towards nothing.

Requests logged
21,796
2 Jun 2026 to 15 Nov 2026
Recorded as served
18,803
Kept in full, in every per agent table
Withdrawn from credit
18,803
Removed from every total and ranking
Refused since
30 June 2026
A second, server level refusal was added on 3 August 2026

We also got this wrong ourselves, twice, and Room 06 keeps both corrections. We described Amazonbot as blocked while our own server was still answering it. And many rows recorded after the block carry a status our tracker had predicted instead of the one the server returned, so the served figure above overstates what Amazonbot received. Those rows have not been edited. The cache in front of the server still answers some of its requests, so we do not claim the refusal is total.

Source: the citation log, Amazonbot rows, 2 Jun 2026 to 15 Nov 2026, and the corrections record. Rule: every logged request, none credited. Live.

Take it

Take the data.

Each chart is a 1,200 by 630 image with the date and this address printed on it. Use them in an article or a post; a link back to this page is all we ask. They carry the figures of the frozen November 2026 edition, read on 14 November 2026 at 14:29 UTC, not today's live numbers. The leaderboard chart shows Room 01 at the same reading.

findings.json holds the figures of the seven findings with their windows and rules, read at the moment you ask for it; findings.csv is the table in finding 1. The daily tape CSV holds one row for every closed day of the thank you mint, from the same ledger and rules as the tape in Room 01, which shows the latest 30 days. Live.

The method

How these numbers are built.

Every figure on this page is read from the shop's own records at the moment the page is built: the log of pages served to named AI agents, the visit records, the order records and the service record of the MCP server. Each finding names its window and its rule, and links to the room that holds the full table.

Pages and visits come from different tables with no shared key, so a page read is never matched to a visit and no cause is claimed. An agent name is what the software called itself, not a verified company. Where capture is incomplete, the figure is a floor and says so. Room 05 sets out every counting rule, and Room 02 says where the evidence stops.

Quote it

How to quote these findings.

Cite it like this
teas.co.uk, “Under the Hood: the findings”, https://teas.co.uk/under-the-hood/findings/, read on 15 November 2026. The figures move with every reading, so give the date you read them. Reuse is covered by our fair use and citation terms.
A number that will not change
The figures above are live. To quote one that a reader can still check next month, use the frozen edition for November 2026: https://teas.co.uk/under-the-hood/2026-11/, read on 14 November 2026 at 14:29 UTC. The first edition was taken on 14 November 2026. From December a new one is frozen on the first of each month. An earlier reading of November 2026, from 14 November 2026 at 03:13 UTC, was replaced and is kept at https://teas.co.uk/under-the-hood/2026-11/reading-1/.
Who to ask
Lee Samuel Tucker founded teas.co.uk and runs this study on the shop's own server. About Lee. Questions and press: hello@teas.co.uk.
One more number
This shop publishes 49,533 quotable signposts for machines, and machines have reached 9,912 of them at least once. Room 05 has the count.
A real shop
Every number comes from a working tea shop: teas.co.uk, its rare and hard to find teas, its best sellers and the Tea Wiki.
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