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Google Gemini

LLM & protocol

A question asked in the middle of a deal usually waits for someone to check three tools first. Gemini answers directly when a rep or leader asks it something, and Revenue Labs connects to it as a surface, so that question gets answered from live deal state.

Meeting Preparation·7 meetings prepped today
Preparing Meridian Systems…
TriggerCalendar · Meridian Systems - Thu 3:00pm · Proposal stage, critical point
Deploy agentDeploying Meeting Prep agent on the account
Use skillLoading skill · Meeting Preparation · Account Research · Deal Assessment
Reference memoryReading memory · Persona · Sales Process · Discovery & Qualification
ReasoningGemini reasons across the upcoming meeting, account evidence and conversation history → selects what changed and what the rep must test
ActionCompose prep alert → deliver to Slack before the call
Prepared in 6 seconds
Surfaces inWorkspaceviaSlackTeams
Revenue LabsAPP2:00 PM LIVE
MEETING PREP: Meridian Systems | $180K New Business
Thu 16 Jul, 3:00pm · Google Meet · 45 min · Stage: Proposal · Critical point
CONTACTS
Sarah Whitmore · VP Revenue Operations · [Champion] [Confirmed]
James Calder · Chief Financial Officer · [Economic Buyer] [Not engaged]
MEETING OBJECTIVES
1. Align on the solution and lock proposal scope
Sarah is bought into the solution, but scope has shifted twice in three weeks. The proposal needs a rewrite.
Priority: Critical  |  Confidence: ●●●●
2. Get the economic buyer engaged before the proposal lands
Deal is single-threaded through Sarah. Budget sign-off sits with the CFO. Open the thread now or risk a stall at approval.
Priority: Critical  |  Confidence: ●●●
Join MeetingBuild ProposalBrief Attendees
The tool alone > AI bolted on > AI-native

What changes when the system works through Google Gemini

Three jobs Google Gemini already does, and what each becomes when alerts, briefs and approvals arrive from a system that learns.

01 | The tool on its own
02 | With AI bolted on
03 | AI-native
Chat and connected apps
Questions and files in a Google model surface.
Gemini lets users ask about files and connected Google services from one conversational workspace. People still choose sources and check the answer before acting.
Connected apps add more context.
Connected services shape the answer in Gemini. That answer does not update the account view used by other capabilities.
Live state reaches Gemini.
Gemini can use the resolved company, contact, and deal context on the next question.
Deep Research
A research plan becomes a cited report.
Deep Research searches selected sources, reads the material, and returns a report. A researcher still sets the scope and decides which findings matter.
Deep Research synthesises the report.
Gemini's report is a finished answer in Gemini. The report does not update a shared account view or learn from what the deal did next.
Research outcomes change the next question.
Approved findings and later deal outcomes shape the context available to the next Gemini run, while Gemini remains the working surface.
Gems and custom workflows
A Gem carries instructions into repeat tasks.
Gems let users save instructions for recurring work. Gem owners still maintain the instructions and decide when the output is fit to use.
Gems follow saved instructions.
Gem responses follow the Gem's scope. They do not use deal outcomes to alter the next decision elsewhere.
Gemini context improves with outcomes.
When a deal closes or stalls, the system learns from the resulting evidence and informs the next approved prompt, while the work stays in Gemini.
SEE IT RUNNING
Runs on it

Capabilities that act on connected evidence

Marketing

Content Analysis

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SEE HOW IT WORKS

Sales

Account Planning

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SEE HOW IT WORKS

Prospecting

Messaging Analysis

Active
The campaign review is read by persona and signal.
It connects message performance to persona, signal and channel.
Every experiment result is traced.
Results tie back to the theme and proof point being tested.
The analysis names the cause of a shift.
It identifies the persona or signal linked to the change.
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The proposed change is checked before release.
It checks ICP, tone of voice and case studies against the change.
Humans approve claims, proof and tone changes.
SEE HOW IT WORKS

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The GTM teams that learn fastest will win.
Connect your stack to a system that learns.