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The quest for the ideal state of human + AI B2B GTM.

GTM, from first principles

The three jobs of go-to-market.

Strip away the tools and the titles, and every go-to-market is the same loop.

  1. 01

    Run the best plan you have.

    Every person and every AI works from the same answer: who you serve, what you say, and what you can prove.

  2. 02

    Watch what the market does.

    Replies, meetings, and deals are the market voting on every claim you put in front of it.

  3. 03

    Fold the wins back in.

    What won becomes the plan, everywhere at once. The next pass starts from a better place.

Rebuilt for the AI era

AI runs the loop. People steer it.

The loop stalls because upkeep eats the week. That is the work AI does best, and handing it over gives your people back the work that compounds: strategy, taste, and the bet.

80%
AI doesThe work that repeats
  • ResearchRead, search, and pull the facts together
  • First draftsWrite and shape the work for every channel
  • MeasurementWatch the numbers and flag what changed
  • UpkeepFind what's gone dead and ready the fix
20%
People doThe work that decides
  • The customerBring what only your team knows
  • The storyChoose what is worth saying, and how
  • The betPick the direction when data has no answer
  • The callNothing publishes, sends, or spends on its own

The missing layer

Software runs on Git. Finance runs on ledgers. GTM still runs on docs.

Every serious discipline has a system of record that remembers each change and why it was made. GTM never got one. Your tools move the work, then forget why it won.

Today’s GTM stackNo system of record
CRMWhoPeople and deals
EmailSendCampaigns and replies
CMSPublishPages and posts
DataCountClicks and revenue
Missing What do we claim? What changed? Why did it win? What runs on it now?

The Assay Truth Graph

A system of record for go-to-market.

The Truth Graph is our standard model for B2B GTM knowledge. What your company knows maps onto one deliberate structure: facts, proof, audiences, decisions, results, and the links between them. The structure is the point. Once your knowledge is in the model, it maps back out to every kind of GTM work.

One piece of truthin the standard model
Approved fact · version 18 Setup takes 7 days. Owned by product marketing
Proof11 launchesSource saved
ForRevOps leadersAudience linked
Tested“Start in one week”Version B
Result2.4× more replies184 sends
DecisionUse version BApproved by a person
Used in37 placesAll linked
01

Measure it

See which exact idea earned the result.

02

Change it

Fix one fact and find everything built on it.

03

Trust it

See where it came from and who approved it.

04

Reuse it

Every person and AI works from the same truth.

What the graph makes true

Wire the loop to a system of record, and three properties follow.

Living.

Live data flows in, updates flow out. Change a fact once and the graph finds every page, deck, play, and AI answer built on it. Work that ships through Assay never goes dead.

Setup takes two monthsSetup takes 7 days 37 surfaces flagged · 0 silent edits

Winning.

Results flow back to the exact idea that earned them. The version winning in your market, on reply and conversion data, becomes the version everything runs on.

Version A vs Version B · 2.4× replies B promoted everywhere

Governed.

A firewall between your company and the market. Claims that contradict approved truth get caught before they ship. Wrong facts that are already out get found and corrected, everywhere they live. Every catch is logged.

Off-source claim stopped at the gate Caught · corrected · logged

Assay Everywhere

The firewall travels with you.

Your team already drafts in Claude and ChatGPT. Assay rides along. Drafts get checked against approved truth, strong ideas get saved with their source, and governed work starts right in the chat.

Works inside
Claude ChatGPT + other MCP hosts
Connects to
Slack Microsoft Teams verified separately

Same approved truth, same firewall, in every connected tool. Support varies by host.

Meet Assay Everywhere

Start small

Give us one job your team is tired of doing.

In 30 minutes, we map what AI can take, what your people keep, and how you will measure the win.

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