Buying guide

Best AI Prospecting Tools

Choose DiscoLike for company discovery and account research, Clay for configurable workflows across providers, Enginy for prospecting and outreach together, or CatchIntent for a queue organized around timing signals. Match the tool to the sales task you want to automate.

Reviewed September 26, 2026. Published by DiscoLike, which sells one of the products on this list, so read it as a vendor's shortlist rather than a neutral ranking. We list our own tradeoffs alongside everyone else's, and competitor details link to the vendor's own pages so you can check them.

The shortlist at a glance

Provider	Best fit	Data or evidence	Pricing
DiscoLike	Finding and researching companies in a specific market	Company website content and observed vendor footprints, including external infrastructure signals.	$99-$1,599/month; subscription converts to usage credits. API and MCP included. Pricing source
Clay	Building a custom process across data sources	Connected data providers and research agents; evidence depends on the workflow you build.	Free plan; Launch from $185/month and Growth from $495/month per the pricing FAQ. Data Credits and Actions are separate allowances. Pricing source
Enginy	Combining prospecting and campaign execution	Company search, enrichment providers, and prospecting signals.	Custom quote; request the included data and outreach allowances. Pricing source
CatchIntent	Prioritizing a daily queue around events	Timing signals such as hiring, job changes, funding, and social engagement.	Plans based on delivered lead volume. Seven-day trial with a card required; confirm the subscription price at signup. Pricing source

How to choose

Which task should the agent complete?

Finding companies, researching accounts, selecting contacts, and sending messages require different tools. Define the output and the handoff before comparing platforms.

Can you inspect the evidence?

Check company identity, source context, and observation dates. An agent's fluent summary does not establish that a prospect fits or intends to buy.

What drives the bill?

Separate data records, model or research usage, workflow actions, and outreach charges. Price a complete recurring task rather than one successful demo.

Finding and researching companies in a specific market

DiscoLike

DiscoLike is a B2B company discovery and vendor intelligence platform covering 82M+ business websites, with contact search and account research. DiscoLike is building a managed prospecting agent that turns a company and persona brief into a run covering company discovery, ICP validation, contact qualification, and email finding. Product source

Combine discovery, vendor criteria, contact search, and custom DiscoGen research. MCP and API access let your agent work with the same company data as your team.

DiscoLike at a glance

What it is: DiscoLike is a B2B company discovery and vendor intelligence platform built on an index of 82M+ business websites.
Best fit: GTM teams and data builders targeting specific industries, services, geographies, and vendor customer segments.
Search advantage: Combine company-fit and vendor criteria before retrieving paid company records. Add natural language, customer lookalikes, and exact homepage phrases.
Starting price: $99/month, converted to usage credits. On Starter, one query returning 1,000 new company records uses $3.68: $0.18 query fee plus $3.50 for records.
What that price covers: The $3.68 example covers company retrieval within a paid subscription. Contacts, research, email work, and external AI/search providers have their own applicable charges.
Agent access: REST API, MCP, Python SDK, and CLI on every plan. Company discovery can feed your CRM or outreach tools.

Pricing and allowances · Company Index · Prospecting Agent

What to account for

Use a CRM or sequencer for outreach execution. Budget research and contact usage alongside company retrieval.

Building a custom process across data sources

Clay

Configurable workflows combining data providers, account research, and sales operations. Product source

Choose a configurable workflow when your process needs several providers and research steps, with rules your operations team controls.

What to account for

Someone must design and maintain the process. Track both data consumption and workflow actions when comparing cost.

Compare DiscoGen and Claygent →

Combining prospecting and campaign execution

Enginy

Company search, provider-based contact enrichment, and multichannel outreach in one platform. Product source

A unified workflow can suit teams that want enrichment and outreach close to the search that produced the account list.

What to account for

Obtain a quote for your actual contact and campaign volume. Compare the included workflow with the tools it would replace.

Compare DiscoLike and Enginy →

Prioritizing a daily queue around events

CatchIntent

Prospect prioritization around events, with ranked queues and drafted outreach openers. Product source

Timing context can help operators choose whom to research and contact next, particularly when a recent event connects to their offer.

What to account for

An event is a reason to investigate. Check company fit and the relevance of the event before treating it as buying intent.

Compare DiscoLike and CatchIntent →

Pick the task before the platform

For a team missing entire segments of its market, begin with company discovery. For a team with known accounts but incomplete context, begin with research. For a team drowning in signals, begin with prioritization. For a team manually managing campaigns, examine execution.

Write the pilot as a task: find 100 new companies matching this ICP, research one qualification question, identify a relevant role, and prepare a CRM handoff. Mark which steps the tool completed and which still required an operator.

MCP access is the connection, not the result

MCP lets an AI client call tools. It does not make the underlying data more complete or turn an inferred signal into a measured fact. Inspect the available operations, permissions, usage charges, and returned evidence.

DiscoLike supports counting supported structured-filter matches before retrieval and combining company and vendor criteria. Counts do not predict the final semantic matches or qualified contacts. Those operations help an agent keep the search specific and avoid retrieving an unnecessarily broad list.

Measure a repeatable prospecting outcome

Review accepted accounts, supported research answers, usable contacts, and successful CRM handoffs. Track time spent fixing wrong company matches or unsupported conclusions. Run the same brief again with a new sample before scaling.

Use the resulting cost per accepted account and hours saved to choose the workflow. If discovery and execution are already handled well by different products, integration may be more useful than replacing the entire stack.

Explore DiscoLike agentic workflows →

Common questions

What should an AI prospecting tool automate?

Start with a defined task such as company discovery, account research, contact selection, prioritization, or outreach. Check the output and the handoff for that task.

Are hiring and funding events buying intent?

They can provide useful timing context, but do not prove an active purchase. Establish company fit and connect the event to the need your product addresses.

Can I use DiscoLike with another prospecting tool?

Yes. DiscoLike can supply company discovery, contacts, and research through exports, API access, or CRM integrations. Check the receiving tool's import and matching support for your workflow.

Put a real search engine under your GTM

82M+ companies in our own index
1B+ pages crawled monthly
Self-serve from $99/mo, no demo required
Company data from public web sources