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Your best quarter starts with a better list.
Six AI prompts that find the accounts getting ready to buy, using signals your competitors aren't watching. Paste them into ChatGPT, Claude or Gemini and hand sales a list with a reason behind every name.
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Most marketers are using the same intent data:
- 91%
- of B2B marketers use intent data to prioritize accounts, but only 24% report exceptional ROI.DemandScience and Autobound, 2026
- 94%
- of companies rank their vendor list before setting up a demo.6sense, 2025
- 73%
- of B2B buyers actively avoid suppliers who send them irrelevant outreach.Gartner, 2025
Your sales team stopped working your account list.
It's built from the same intent, funding and job-change feeds every competitor buys. When twenty vendors email the same newly funded company in the same week, the signal stops being an advantage.
This guide moves you up a rung, to signals AI can dig out of filings, reviews, permits and profiles. They take research to find, which is exactly why most teams never use them.
- 1Fit. Industry, size, location, tech stack. Everyone has it.
- 2Shared signals. Intent, funding and job-change feeds. Shared with every competitor on the same feed.
- Where this guide works3Researched signals. What AI can find in filings, reviews, permits and profiles, if you know how to ask.
- 4Your signals. Conditions proven in your own wins and losses. Only you have them.
Six signals, each with a prompt you can paste today
Every signal answers one part of BANT, so you can see budget, authority, need and timing before the first call, while it's still cheap to act on.
Who really owns the problem
People whose profiles show they own the initiative, whatever their title says.
Why tools miss it: databases filter on title and seniority, not on what someone actually does.
Fresh money to spend
Companies that raised $10M or more in real equity in the last 12 months.
Why tools miss it: funding alerts rarely separate an equity round from debt, grants or secondary sales.
Pain in public
Companies whose employees or customers complain about the exact problem you solve.
Why tools miss it: listening tools count mentions. They don't read what the complaint says.
Physical growth
New plants, warehouses, labs and offices, found in filings, permits and local news.
Why tools miss it: headcount and web data don't include permits or capital filings.
A project already in motion
Companies piloting or rolling out a technology that sits next to yours.
Why tools miss it: tech-stack data sees software on websites, and only after it's live.
The signals only you can see
Conditions that show up in your won deals far more often than in your lost ones.
Why tools miss it: no vendor has your deal history.
Fill in the blanks. Paste. Get a sourced list.
Each prompt tells the model to search the live web, cite a dated source for every company, and leave a field blank instead of guessing. Here's the start of one.
Get all six promptsUse live web search and cite a working source URL for every company. Don't include any company whose funding you can't verify against a real, dated announcement.
You are a research analyst specializing in venture capital. Find [NUMBER] [INDUSTRIES] companies that raised equity funding of [MINIMUM AMOUNT] or more in the [TIME WINDOW].
Requirements
- Equity rounds only: seed, Series A and later, growth equity, private equity
- Exclude venture debt, loans, grants, crowdfunding, token sales, government awards, revenue financing, secondary sales and acquisition financing
- The amount must be stated explicitly and meet [MINIMUM AMOUNT]
Written for the person setting strategy and the person running it
If you lead marketing
The plain-English summaries give you each idea in about a minute. Enough to walk into your next leadership meeting with a clear answer to what AI is doing for pipeline.
If you run demand gen
Swap in your industries, deal sizes and technologies, then run the prompts with web search on. The customization guide shows what to change for DevOps, HR tech, cybersecurity and more.
Plus the test that keeps sales trusting your list
Most signal lists get picked because they sound right. Run every signal through four questions before it earns budget, headcount or a sequence.
Lift
Does it show up more in deals you won than in deals you lost? If both have it equally, it's noise with a good story.
Lead time
Does it appear before the deal starts, with time to act? A signal that arrives after the buyer has chosen is a report card.
Coverage
Are enough companies showing it right now to fill a quarter's pipeline? A perfect signal that twelve companies have is a campaign, not a program.
A message
Can you say something specific and useful to a company showing it? If the best you have is "I noticed you…", it isn't earning its keep.
Before you download
Do I need Clay or a paid data tool?
No. Every prompt runs in ChatGPT, Claude or Gemini with web search or research mode turned on. If you already use Clay, the same logic carries over.
Will these work for what we sell?
Each prompt has settings you fill in: industries, company size, technologies, funding thresholds, time windows. The customization guide includes worked examples for DevOps, HR tech, customer service software, cloud and cybersecurity.
How do I know the AI isn't making things up?
Every prompt requires a dated, working source for each result and tells the model to leave a field blank rather than guess. The guide also shows what good output looks like for each prompt, so a weak list is easy to spot.
What does it cost?
Nothing. Enter your work email and the guide is yours right away.
What if I want this run across hundreds of deals?
That's the work Resonant does. A good place to start is the free Signal Sample: send us 10 accounts and within two weeks we'll show you every buying signal they showed, with the proof behind each.
Next quarter's pipeline is already sending signals.
Get the six prompts and run your first one this afternoon.
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