Salesforce
Gong
Gmail

Build a Deal Strategy Synthesizer Agent withSalesforce, Gong, and Gmail

Sales teams run forecasts on stale, scattered data: Gong + Gmail + Salesforce each hold a piece, none hold the whole. Deal context lives across 5-7 systems with different data models.

Try in Claude

Analyzes all touchpoints on an opportunity; emails needs 3 systems to agree.
Today they don't, so the forecast guesses.

Today they don't, so the forecast guesses.

SalesforceGong

Salesforce can't answer it solo.

Salesforce opportunities in Salesforce is only one input; the forecast stalls without meetings alongside it.

GongGmail

The Gong side stays separate.

Meetings from Gong sits in its own tab while Salesforce carries salesforce opportunities. Nobody joins them.

GmailSalesforce

Gmail is the early-warning nobody reads.

By the time calls in Gmail reaches the forecast, the window to act has usually shut.

Under The Hood

Ask once. Deal strategy synthesizer reads Salesforce, Gong, and Gmail for you. Already connected.

01

Fetch analyzes all touchpoints on an opportunity; emails from Salesforce (system of record)

Salesforce opportunities

Salesforce
02

Pull meetings from Gong (call platform)

Gmail/Outlook threads

Gong
03

Check calls from Gmail (comms layer)

calendar events

Gmail
output

Agent-ready output

Deal Strategy Synthesizer's readout: Analyzes all touchpoints on an opportunity; emails, meetings, calls, CRM notes; to recommend specific actions and identify risks. Sorted by what needs you first.

The Context Store

Gong + Gmail + Salesforce arrive matched on the deal, ready to analyzes all touchpoints on an opportunity; emails.

Airbyte folds Gong + Gmail + Salesforce and 3 more into the Context Store: salesforce opportunities, Gmail/Outlook threads, calendar events, Gong recordings, competitive intel docs land in one schema, joined on a shared deal key, so deal strategy synthesizer never touches a raw your system of record endpoint.

Your agent queries one surface instead of three APIs. Faster responses, lower cost per query, and results that work because the relationships were built before you asked the question.

PRE-JOINED DEALUNIFIED SCHEMAONE API SURFACE

The Prompt

Copy. Paste.
a Deal Strategy Synthesizer Agent

Two steps. Your data, your results, under 60 seconds.

01installOne-time setup. ~2 min.
Connect the Airbyte Agent MCP
02copy and run
Prompt
Build me a deal strategy synthesizer: read Salesforce, Gong, and Gmail and hand back one readout.

SETUP
Airbyte's Agent MCP is connected to 6+ systems; query them directly, no API code.

WORKFLOW
list connectors -> link Salesforce, Gong, and Gmail -> pull salesforce opportunities, Gmail/Outlook threads, calendar events, Gong recordings, competitive intel docs -> join on the deal key -> analyze. An unlinked tool returns a self-describing prompt; a one-off connect step and retry.

TASK
Analyzes all touchpoints on an opportunity; emails, meetings, calls, CRM notes; to recommend specific actions and identify risks. Deliver a readout I can paste into the forecast. Ranked, sourced, one action per item.

The Outcome

Analyzes all touchpoints on an opportunity; emails on demand: 3 hours of effort, ~60 seconds of agent.

10x

Faster

10x. 3 hours to analyzes all touchpoints on an opportunity; emails becomes one run of deal strategy synthesizer.

90%

Cheaper to run

~90% cheaper: Deal Strategy Synthesizer reuses the 6 connectors you already pay for.

3 -> 1

Tools, one query

3 sources, 1 prompt: Salesforce, Gong, and Gmail reconciled before deal strategy synthesizer runs.

Based on internal benchmarks comparing Context Store queries to sequential API calls across equivalent datasets.

01 · Output

Risk-scored output

Every deal scored 1-10, so deal strategy synthesizer surfaces what needs you first instead of an alphabetized list.

02 · Signal

Reality-check flags

When your call platform and your system of record disagree on analyzes all touchpoints on an opportunity; emails, the gap is flagged. Not averaged into a guess.

03 · Context

Inline evidence

Meetings from Gong and Gmail sits beside each item, letting you analyzes all touchpoints on an opportunity; emails without switching tabs.

04 · Action

One move per line

Deal Strategy Synthesizer closes each deal with a recommendation. The owner and the move. Ready to run.

05 · Brief

Paste-ready output

The readout arrives meeting-ready: salesforce opportunities first, sources attached, Salesforce, Gong, and Gmail reconciled.

Common questions

Didn't find your answer? Please don't hesitate to reach out.

Contact us

How do I trust the forecast?

Deal Strategy Synthesizer cites a source per line. Salesforce opportunities from Salesforce, the rest from Gong and Gmail. So any figure traces back.

What does Deal Strategy Synthesizer cost to run?

It rides the 6 connectors you already license. No seats, no glue code, no infra to analyzes all touchpoints on an opportunity; emails.

Which clients run deal strategy synthesizer?

Claude, Cursor, and other MCP clients. Each points at the same Salesforce, Gong, and Gmail connectors deal strategy synthesizer uses.

Is salesforce opportunities stored anywhere by Deal Strategy Synthesizer?

No, deal strategy synthesizer reads salesforce opportunities, Gmail/Outlook threads, calendar events, Gong recordings, competitive intel docs live through the connectors and returns the readout; nothing persists outside Salesforce, Gong, and Gmail.

Gong + Gmail + Salesforce are connected. Point deal strategy synthesizer at them.

Wire Salesforce, Gong, and Gmail and 51+ sources into Airbyte's MCP and build deal strategy synthesizer on data you already own.