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Launch pricingStarter is $199/seat until 8 Nov. From 9 Nov it goes back to $395/seat.Starter $199 until 8 Nov, then $395.See pricing →

AI Prospecting Tools: How to Build a List by Describing Who You Want to Reach

AI Prospecting Tools: How to Build a List by Describing Who You Want to Reach

AI Prospecting Tools: How to Build a List by Describing Who You Want to Reach

AI prospecting tools, the one-sentence version: describe who you want to reach, Valley searches LinkedIn live, shows matches to approve, writes to fit.

AI prospecting tools, the one-sentence version: describe who you want to reach, Valley searches LinkedIn live, shows matches to approve, writes to fit.

AI Prospecting Tools: How to Build a List by Describing Who You Want to Reach

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Saniya Sood

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Published October 8, 2026 · Updated November 11, 2026

The answer in 60 words: describe who you want to reach in one sentence, title, industry, seniority, geography, and Valley finds matching people on LinkedIn in real time, shows you the matches to approve, and writes a message tuned to the people you described. No query to write, no filters to learn. One run, LinkedIn only, and the list is yours to edit before anything sends.

This article describes the play exactly as published on joinvalley.co/playbooks on October 8, 2026. Valley makes the product, so read it as the maker's own guide, not a review.

Valley is an AI outbound platform that finds the people most likely to buy from you - from live buying signals, natural-language search, or your own lists - qualifies them against your ICP, researches each one, and sends personalized messages across email and LinkedIn that get 15-45% reply rates, against a category average of about 2%.

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How the play runs, and what to set up first

How the play runs, and what to set up first

How the play runs, and what to set up first

Who this play finds, and why they reply

AI prospecting tools mostly automate the old filter screen. This play replaces it: one sentence in plain language, and a real-time LinkedIn search that returns people rather than a database export. The approval step is the safeguard: you see the matches before any message is written, and remove the ones the description caught by accident.

It is the fastest way to start when you have no list, no signal and no saved search, which is why it sits among the basics. A description like "heads of sales at Series A fintech companies in London" is a campaign in a minute.

How the play runs

The flow, as the product shows it: Describe them › Find people › Research › LinkedIn.

  1. Describe who to reach (AI step). One sentence: title, industry, seniority, geography. No query to write.

  2. Finds real LinkedIn people (AI step). Searches LinkedIn in real time and shows you the matches to approve.

  3. Messages fit the person. A message tuned to the people you described.

Before you launch

Upload a CSV with LinkedIn profile URLs for the people you want to reach.

Setting

Value

Audience

High + medium fit

Cadence

One-time

Cadence tag

One-time

Sending channel

LinkedIn only

Review the audience, message and sending settings before starting. The channel shown is the sending channel for this play, not the source of its prospects.

► See what a reply-winning message looks like: real messages Valley sent, and the replies they got, on Cool Message Bro

Give your sales team
an unfair advantage.

What the message says, when to use a different play, and FAQ

What the message says, when to use a different play, and FAQ

What the message says, when to use a different play, and FAQ

What the message says

A message tuned to the people you described. The description tells Valley the shape of the audience; the research step tells it what each person and company is doing, so the note is specific to the reader rather than to the description.

Approve the matches first. The play shows them to you for exactly that reason.

Tools that build a lead list from a plain-English description

A plain-English prospecting tool takes a sentence such as heads of sales at B2B software companies in the UK with 50 to 200 staff, turns it into a search and returns people to approve. Valley does this on LinkedIn in real time, then qualifies each person against the ICP, researches them and writes the message. How the search works is in natural-language lead search, and other tools are compared in AI lead generation tools.

When this is the wrong play

You already have the list. Upload it: upload a list and send researched messages.

You want companies found from a signal, not people from a description. Signal-based company search starts from what a company did.

Your description is too broad. "Marketers in the US" returns too many people to approve. Add seniority and company size.

Specificity in the sentence is what makes the approval step quick. Heads of revenue at Series A fintech companies in London with under fifty staff returns a list you can read in two minutes; sales leaders in Europe returns one you cannot. Add the two or three details you would use to describe your best customer, and the matches come back ready to approve.

Related plays

Open the play itself: Find people with AI on the Valley playbook library, or browse all 58 plays.


Related: LinkedIn Profile Views · How to Reach Everyone Engaging a Competitor's Product Launch Post · Competitors' LinkedIn Company Followers · Valley pricing

See also: How to Find Similar Companies to Your Best Customers (Lookalike Prospecting) · Case Study Social Media Post: How to Follow Through With Everyone Who Engaged · LinkedIn Testimonial Posts: How to Reach Everyone Who Liked a Customer's Shoutout

► Book a demo: see how Valley would find, research and message your buyers

FAQ

How do AI prospecting tools find people? Valley takes a one-sentence description, searches LinkedIn in real time and returns matching people for you to approve.

What should the description include? Title, industry, seniority and geography in one sentence.

Can I edit the list before messages go out? Yes. Matches are shown for approval first.

What does the message say? It is tuned to the people described, with research on each person.

Is it one-time? Yes. Run it again with a new description.

Can AI qualify leads against my ICP automatically? Yes. Valley scores every person it finds against the ICP you define, such as role, company size, industry and geography, so only the fits move on to research and messaging, and the list is shown for approval before anything sends. The scoring step is explained in lead qualification and ICP scoring.

Give your sales team
an unfair advantage.

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Give your sales team
an unfair advantage.