The Revenue AI Report

Read one dataset's description, contents, full column schema, method notes, FAQs, and download URL.

Read one framework in full, including its definition, sections, related pages, and FAQs.

Read one playbook in full: every step with its owner, tool, pitfalls, and definition of done, plus the KPIs that prove it worked.

Get the full copy-ready text of one prompt from The Revenue AI Report prompt library, by slug.

Get the full text of one published article from The Revenue AI Report by its slug, including body paragraphs and FAQs.

Get an overview of The Revenue AI Report: its mission, editorial pillars, audience, sponsorship policy and article count.

Read one research theme in full: the opening argument, every chart with its numbers, the findings, the named sources with publisher, sample size, and caveats, and anything still unconfirmed. Cite the source line, not just the chart.

Read the indexed text of any public resource on The Revenue AI Report by its site path or full URL, whatever the type: article, research theme, framework, skill, prompt, playbook, dataset, tool profile, archive issue, ledger row, or definition. Use this when search_site returns a path you want to read in full.

Read one skill in full, including the copy-ready quick prompt, inputs, process, decision rules, quality checks, limitations, worked example, and the downloadable SKILL.md URL.

Get one vendor profile in full from The Revenue AI Report AI tool library, by slug or by name. Returns the directory record plus the depth layer: why the adoption effort level is what it is, owning seat and journey stage, buy checks, published case studies, documented discrepancies between vendor claim and independent reporting, corporate status changes, and any Reversal Ledger record naming this vendor.

List the open datasets published by The Revenue AI Report, with what each contains, its column schema, and the download URL. Most are free CSV downloads.

List the frameworks published by The Revenue AI Report, including the canonical concepts (Proof Gap, Optimization Theater, Reversal Ledger, Eight Seat Read) and the named operating frameworks in the library such as SCALE, OAR, LOPAFT, and the L1 to L6 AI Maturity Ladder.

Browse the GTM AI playbook library from The Revenue AI Report. Each playbook is a sequenced workflow with owner, tool, pitfalls, definition of done, and KPIs, mapped to a team and to an L1 to L6 AI maturity level. Filter by team, maturity level, or keyword.

Browse the public prompt library from The Revenue AI Report. Copy-ready AI prompts for revenue teams, filterable by team, category, or keyword. Use get_prompt to read the full prompt text.

List published articles from The Revenue AI Report, newest first. Returns slug, title, summary, pillar, date and reading time.

List the research themes published by The Revenue AI Report. Each theme is a sourced argument about AI inside B2B revenue teams, with charts, findings, named sources, and sample sizes.

Map of every public resource type The Revenue AI Report publishes, how many items each holds, the hub URL, and which tool reads it. Call this to orient before searching.

Read The Revenue AI Report Reversal Ledger: named companies that pulled back, paused, or reversed an AI deployment, with the vendor, function, seat, dates, disclosed cost, stated reason, and the public source for each record.

Browse The Revenue AI Report skill library: repeatable AI jobs for revenue teams, each with a ready prompt, a process, decision rules, and limitations. Filter by role, task, or level.

Define a revenue AI term using The Revenue AI Report glossary and plain-language dictionary. Covers Report frameworks, pillars, and measures plus general AI and go-to-market vocabulary.

Full-text search across The Revenue AI Report articles (titles, summaries, body text, keywords and FAQs). Returns matching articles with a short excerpt.

Search every public resource on The Revenue AI Report in one call: articles, research themes, frameworks, methodology, skills, prompts, playbooks, datasets, archive issues, the reversal ledger, the AI tool library, and glossary and dictionary definitions. Filters: `kind` (resource type), `category` (article or issue pillar, playbook or prompt team, skill task, tool or ledger category, case insensitive), `tags` with `tag_match` ('all' requires every tag, 'any' requires one). Paging: `limit` (page size, default 12, max 40) with either `offset` or the `next_cursor` returned by the previous call. Results are ranked and stable for the same query and filters. Returns ranked matches with live URL, kind, category, tags and an excerpt, plus `totalMatches`, `countsByKind`, `availableFilters` for discovery, and `nextCursor`/`hasMore` for paging. Examples: {"query":"forecast accuracy"} | {"query":"pipeline hygiene","kind":"Playbook","category":"revops","tags":["L3"]} | {"query":"AI SDR","tags":["L2","sales"],"tag_match":"any"} | {"query":"AI SDR","limit":10,"offset":10} | {"query":"AI SDR","limit":10,"cursor":"<next_cursor from previous call>"} Use this first when you do not know which resource type answers the question.

Search The Revenue AI Report AI tool library: go-to-market and revenue AI vendors with category, revenue functions, use cases, adoption effort level, and vendor claims. Ranking runs on name, description, best-for, and use cases; vendor keywords only count on an exact whole-tag match, so a generic word does not pull in unrelated vendors. Filter with category, revenueFunction, maturity (L1 to L6), or tag. Every response returns availableFilters with the full category and revenue-function lists plus the most common vendor tags, so you can re-run a narrowed query without guessing the taxonomy. Vendor claims are the vendor's own, not Report benchmarks.