ZoomInfo

ZoomInfo empowers businesses to accelerate revenue with data + AI + automation. Privacy Policy & Profile Removals:

[ZoomInfo @ZoomInfo]

GTM has changed. Teams aren't working in one place anymore, and people aren't the only ones doing the work.

So we built https://t.co/1J8WnY7C5i, ZoomInfo's headless context layer that makes our data natively available everywhere your team (and your agents) actually work.

100 million companies. 500 million contacts. Billions of buying signals. All verified, all connected, and now accessible in a single API call from any tool, any workflow, any agent.

Build with https://t.co/1J8WnY7C5i for free → https://t.co/QWj1WWfb6G

[ZoomInfo @ZoomInfo]

Most deals don’t fall apart because the champion went quiet. They fall apart because nobody else on the account knew who you were.

Org charts tell you who reports to whom. They don’t tell you who actually makes the decision, who sways it, or where your coverage is thin.

Stop navigating org charts. Start orchestrating buying committees.

[Florin Tatulea @FlorinTatulea]

Why can't I just build a context layer for GTM?

Well... you can if you are a company like ramp and have hundreds of data engineers that you are willing to deploy to make it work.

It's EXTREMELY complex and most people that try find out quickly why that is.

Here's a few things you need for a context layer. Our CEO @HenryLSchuck described it best:

1. Entity resolution

Open the CRM of any company at scale and search "Cisco." You'll get 20 records: Cisco, Cisco Systems, Cisco WebEx, Cisco AppDynamics. Which one is the right record?

If you don't know, your agent doesn't know either. It just picks one and is likely to make a mistake.

2. Hierarchy resolution

Imagine you launch a 20% off promo to "non-customers."

Does your system know that Uber Freight is a subsidiary of Uber automatically?

The answer is no.. you end up launching a campaign to customers.

3. 1st-party and 3rd-party data stitched together for EACH account

Calls, emails, product usage, transcripts, CRM notes. All of it has to be connected to the correctly resolved account, or your agent is writing account plans about the wrong company...

If it sees “Nvidia” transcribed as “In Video” or a press release about “Block, Inc” when your CRM says “Square,” your agent is operating blind. Every recommendation downstream is flawed.

4. Metadata an agent can read

Palantir popularized the term “ontology.” If an LLM doesn't know what a column means, it will give you a very confident (but wrong) answer.

If your data doesn't describe itself, you're asking the model to guess.

GTM has an ontology, it has accounts, leads, contacts, signals, champions, detractors, security review and procurement. Your GTM should work on top of a tuned model that should understand that.

[ZoomInfo @ZoomInfo]

Every marketing team has access to the same AI models.

Feed them similar prompts, and it all starts to sound exactly the same.
On the latest episode of Revenue Architects, our host John Lloyd asked Kamil Rextin how dangerous this is for businesses.

Hear the full conversation in Episode 12 of Revenue Architects, including why Kamil thinks marketing will split in two, and why he’d hire a product marketer first if he were building a marketing team from scratch.

Listen to the full episode: https://t.co/Bnw9tY6BKJ

[ZoomInfo @ZoomInfo]

Your account plans live in Notion. Now your ZoomInfo data does too.

ZoomInfo is a connector in @NotionHQ AI: ask about any company or contact and get answers grounded in 100M+ companies and 500M+ contacts.

Set it up in a few clicks: https://t.co/xNszjhAxnj

[ZoomInfo @ZoomInfo]

ZoomInfo MCP and API are live in Snowflake!. ZoomInfo's verified company, contact, and signal data now sits next to your own tables in CoWork, Cortex Agents, and your pipelines. 

Learn more: https://t.co/DkAegYHaq1
Connect: https://t.co/TV9X9ZPZkZ

[ZoomInfo @ZoomInfo]

ZoomInfo now integrates natively with Exa. Mutual customers can bring company and contact data into Exa agent workflows through Exa Connect.

Start now: https://t.co/e6V2dfnbck

[ZoomInfo @ZoomInfo]

Launching a new product? Put it in front of your OWN team first.

Read the full play: https://t.co/0V25PUcWy5

[ZoomInfo @ZoomInfo]

Sales and marketing teams are increasingly pointing AI agents at research that used to be manual analyst work. 

Ask it to find companies, find contacts and build lists, and the agent will hand back a full table. 

But we built GTM Bench v1 to test what's happening underneath that. 
Same AI agent, same B2B research tasks, three models, only the retrieval tool changed across the 450 runs.

Here's what we found:
→ Fill-rate rewards confident error over careful restraint. One configuration hit 95% completion while returning a contact at the wrong company, with nothing in the output to flag it. 
→ Specialist data tools return verified work emails in up to 94% of contact rows. Web search and neural search managed 22%, much of it a guessed pattern rather than a real address.
→ And it's not just about what's correct. Web search burned 11.1 million tokens to complete the same ten tasks the ZoomInfo CLI finished on 460,000. That’s 96% fewer.

Fill-rate is an easy number to report. Whether the data underneath it is accurate, and what it costs to get there, is the one that matters.

Read the full findings and methodology:
https://t.co/uSkK3I7kdl

[ZoomInfo @ZoomInfo]

A channel can underperform for a while and still make it into next year’s budget.

As 2027 planning kicks off, which channels really contribute to pipeline? What do you scale back, and where do you put more?

Tomorrow on GTM Roundtable, Alice and Steffen are covering:
- Where to concentrate, what to cut, and what to hold back
- How @DreamdataIO and @ZoomInfo changed where the money goes
- How a lot of marketers are measuring wrong, plus five questions for your team

7am ET / 12pm BST. 

Can’t make it live? Register and we’ll send you the recording: https://t.co/8WkLyhhXos

[ZoomInfo @ZoomInfo]

Were your @n8n_io workflows running on stale data? Not anymore.

ZoomInfo now ships as a native node inside n8n. Live contact, company, and signal data, every run. No more exports going stale between syncs.

Connect: https://t.co/xF9xdC2qAa
Learn more: https://t.co/gqXEeDWLIs

#RevOps #n8n

[ZoomInfo @ZoomInfo]

Stop exporting lists into ClickUp. ZoomInfo data is native now.

Verified accounts + contacts, right in your tasks.

Connect: https://t.co/OjAydMQ1JL

[ZoomInfo @ZoomInfo]

You're a CSM or Account Manager. Your job is to protect revenue.

But when you own 200 accounts, who's checking all of that every morning?
Your Agents can.

With Agent Teams, you can build it yourself. Stop hunting for the deals that need saving. 

Build the team that finds them for you.
https://t.co/njEfXg8DKb

[ZoomInfo @ZoomInfo]

Your AI isn’t broken. It’s just uninformed.

Adam Schoenfeld recently called “GTM Context” the new vendor battleground.

He’s right.

The next era of GTM won't be won by whoever gives an agent access to the most tools. 

It’ll be won by whoever gives it the best understanding of the world it’s operating in.

Right now, that understanding is a mess.

Your CRM has Google and Waymo as separate accounts, with no link to Alphabet.
SpaceX acquires Cursor, but your account hierarchy never changes.
Travis Kalanick runs CloudKitchens now. Your marketing system still has him at Uber.

Every system holds a piece of the puzzle. None of them holds a current view of the account.

Without a way to resolve all of that into a single understanding of an account, AI isn’t operating on reality. It’s operating on fragments of it.

Which is why today, we’re introducing the world’s first Context Graph for GTM.

A context graph is the missing layer beneath AI. It connects entities, history and activity, so GTM teams and agents work from the full picture instead of isolated records.

EVERY function that runs on AI needs one.
Legal has Harvey and Legora.
Engineering has Sourcegraph.
Enterprise search has Glean.

Now GTM has ZoomInfo.
https://t.co/Ju46vahHd9

[ZoomInfo @ZoomInfo]

AGENTS, ASSEMBLE 🦸

Today we're launching Agent Teams: teams of specialized agents that revenue leaders can put to work across their entire GTM team.

Available to everyone, not just the person who built it.

Ready to meet your new team? https://t.co/gobMxzxl89
Learn more: https://t.co/I0x2g2wX9z

[ZoomInfo @ZoomInfo]

Today, we're announcing that ZoomInfo has acquired https://t.co/bmgSyssMSV, an agentic orchestration platform built for reliable, multi-agent automation.

https://t.co/bmgSyssMSV already powers GTM workflows at Fortune 500 companies and fast-growing software firms. Now it's joining the platform with the context to take it further.

Welcome to ZoomInfo, https://t.co/bmgSyssMSV team! 🎉

Read the full announcement: https://t.co/y6cusexCA2

[ZoomInfo @ZoomInfo]

ZoomInfo's connector for Superhuman Go is live🚀

This connector allows AI assistant Superhuman Go to access the most up-to-date information about your accounts and contacts.

Watch it in action, then get to work.

Connect: https://t.co/RbjnGgZMxm
Learn more: https://t.co/4iH0TJJoM3

[ZoomInfo @ZoomInfo]

Run GTM with the context AI needs.

ZoomInfo CLI is designed for the Agentic age. Query best in class GTM data, run enrichment at scale, and activate with https://t.co/1J8WnY74fK command line interface.

The ZoomInfo CLI (officially the GTM CLI, part of ZoomInfo's https://t.co/1J8WnY74fK layer) is a single command-line client for ZoomInfo's go-to-market data.

Everything runs through one gtm command family: you can search and enrich companies and contacts, pull intent signals, scoops, and news, run agentic account and contact research, and read your own GTM context, all from the terminal.

Results come back as JSON, JSONL, CSV, YAML, or a readable table, so the output drops cleanly into whatever comes next in your workflow.

Start building at https://t.co/1J8WnY74fK with CLI today.

[ZoomInfo @ZoomInfo]

ZoomInfo MCP is now live as a connector inside Replit's Integrations marketplace, giving Replit users natural-language access to verified company and contact data through https://t.co/1J8WnY74fK, no custom API integration required.

First-time MCP connections come with 100 free AI credits.

Learn more: https://t.co/wn1LkW9uXH
Connect:https://t.co/7DmUebFbkl

[ZoomInfo @ZoomInfo]

Talent Autopilot is here.

Everyone has an agent, but not everyone has nearly two decades of verified professional data behind it.

Recruiting doesn’t have an AI problem. It has a data problem. AI can do more work than ever, but bad data means it can also be wrong faster than ever.

Tell Talent Autopilot who you need. It does the sourcing work for you, finding qualified candidates your searches may never have uncovered.

Better Data. Better Discovery. Better Candidates.

See what’s possible with Talent Autopilot: https://t.co/uOI0n6PHsR