One key from your receipt opens the edition pack as a download, the index inside an assistant over MCP, and the same files by script on a schedule.
Your key is on your Lemon Squeezy receipt and under My Orders. Paste it once and every address and command below fills in, nothing to hand-replace.
The key is held on this page and checked once against the store by this site. Nothing else stores or sends it, and every address below is built in your browser. A key that arrives in the address from your receipt is taken out of the address bar as soon as it is in the field.
The edition pack is the finished edition: the standing, every label with its evidence, every answer, and the category reports. The button produces a link that lasts ten minutes.
One PDF per category: the standing, the warnings, the sources and every answer, with a written summary. Or every report this key opens.
standing.csv, labels.csv, responses.csv, prompts.csv, models.csv, vendors/<product>.csv, index.sqlite and the data dictionary in README.md.
The Standard pack opens a report for every category. The Expanded pack opens the category on the subscription with the flagship models beside the standard tier, and the standard reports for the rest. By address: &report=list or &report=<category>.
A subscription key opens the newest edition, or an earlier one with &edition=2026-09. A single-edition key opens the edition it was bought for.
Every subscription includes the index as an MCP server. Add it to Claude, Cursor or any client that speaks the Model Context Protocol, and the assistant answers from the current edition, with the evidence quotes and the edition each answer came from.
https://gtm-ai-index.com/mcp/The one string every client needs. Transport is streamable HTTP; there is no sign-in.
Three clients, not three steps: do the one that is yours.
Name GTM AI Index
Address https://gtm-ai-index.com/mcp/
Authentication No sign-in
Header name Authorization
Header value Bearer YOUR-LICENSE-KEYSettings, Connectors, Add custom connector. Where the client offers no header field, use the address form in the third card.
claude mcp add --transport http gtm-ai-index https://gtm-ai-index.com/mcp/ \
--header "Authorization: Bearer YOUR-LICENSE-KEY"{ "mcpServers": { "gtm-ai-index": {
"url": "https://gtm-ai-index.com/mcp/",
"headers": { "Authorization": "Bearer YOUR-LICENSE-KEY" } } } }Where a client offers no headers, the key can go in the address: https://gtm-ai-index.com/mcp/YOUR-LICENSE-KEY. Treat that address as the key itself.
The pack downloads by address with the same key, so a pipeline can collect each edition on its own schedule. The key is checked against the store on every call.
curl -L "https://gtm-ai-index.com/pack/download/?key=YOUR-LICENSE-KEY" -o pack.zipThe address answers with a redirect to a signed link that lives ten minutes; -L follows it. Add &edition=2026-09 for one month.
curl "https://gtm-ai-index.com/pack/download/?key=YOUR-LICENSE-KEY&format=json"Returns the edition, the file name, its size and a signed URL with its expiry, and refusals as JSON with the same status codes. Useful for a step that decides before it downloads.
curl https://gtm-ai-index.com/pack.jsonThe public manifest lists every edition and needs no key. Poll it and download when a new edition key appears, or run on the second of each month: editions compile on the first.
Eight tools over the edition the site currently serves. Every answer names the edition and the vendor table version, so the figure can be checked against the page.
| Tool | Returns |
|---|---|
edition | the edition, its models, the vendor table version and the noise floor; cite it |
list_categories | every category with its leader and share, per segment |
category_standing | the ranked products in a category: share, rank, negative rate, each model's label, the products warned against, the prompts asked |
model_picks | what each model named first, as an alternative, and against, per prompt framing |
vendor_standing | one product across every category it holds a rank in, with how each model treats it |
evidence | verbatim quotes for or against a product, each naming the model, the category and the framing |
search_vendors | find a product by its name or by a name a model wrote |
movement | change since the previous edition, qualified against the noise floor; from the second edition on |
A single-edition key opens the edition it was bought for, while the site serves that edition. A subscription key opens every edition as it publishes. The server reads the same files the site is built from, so it updates the moment an edition does.
A matrix of product by model, each cell the label the model gave, with the verbatim quote under it. Objection handling written from what the buyer's assistant already said, refreshed monthly with nobody re-running the chats.
Cited domains ranked per category, and your own domain's share of citations edition over edition. It shows which third-party pages carry the recommendation into the answer. That is a fact about retrieval, not a lever on the model.
The same category, computed three times, once per buyer segment. Positioning gets evidence from the buyer side of the screen: which size of company the assistant thinks the product is for.
Six bars per product, one per framing. The framing a product wins is the buying situation to sell into, and the negative framing is the objection list, sourced. The paraphrase pair says whether the answer survives a rewording.
A rank timeline with the noise band drawn on it, and a movers table for the category. A single month's shift is usually inside the noise. The index says which ones are not, with the date and the model version attached.
Every label for one product, with the verbatim evidence quote, the model, the framing and the edition beside it. A slide can show what an assistant said rather than paraphrase it, and the number on the site can be traced to the same row.
The verdict map: 73 categories by go-to-market function, colored by verdict. Category strategy from the assistant's point of view: where the field is settled, where it is not, and where a product is already in the conversation without leading it.
An agreement matrix, model by product, and the standard run against the expanded one for your category. The answer a buyer hears depends on which assistant they opened, so a strong standing in three and none in the fourth is a specific, named gap.