Outbound works best when your list is truly aligned with your ideal customer profile (ICP). The challenge is that most lead databases still rely on checkbox filters like industry, headcount, and location. Those filters can’t capture nuance like “a Shopify-focused paid ads agency in Europe” or “a biotech company with a very specific research angle.”
Intellimatch is an AI-powered B2B lead finder designed to solve that exact problem. Instead of forcing you to translate your ICP into rigid filters, Intellimatch lets you describe your ideal customer in plain English, then uses semantic analysis of company websites to qualify and rank companies the way a human would. Once you have the right companies, it delivers findymail.com verified contacts (emails and phone numbers) by job title, with exports and native integrations to common CRMs and outbound tools.
Why “checkbox-filter” lead sourcing often misses your real ICP
Traditional lead databases tend to optimize for volume: you pick an industry, set an employee range, select a location, and export a list. The problem is that those criteria often miss what actually determines fit, such as:
- What the company really sells (and how they position it)
- Who they sell to (SMB vs enterprise, vertical focus, buyer type)
- Business model (agency vs SaaS vs services, usage-based vs seat-based, etc.)
- Specialization and nuance (e.g., “biotech-only,” “e-commerce paid ads,” “machine learning startups under 50 employees”)
When those signals aren’t captured, teams end up doing one of two things:
- Manual list cleanup: reviewing rows, opening tabs, reading websites, and re-qualifying what the database couldn’t.
- Spray-and-pray outreach: sending sequences to bad-fit prospects and watching reply rates drop while unsubscribes rise.
Intellimatch is built to remove that tradeoff by doing the qualifying work automatically.
What Intellimatch is (and what it’s designed to replace)
Intellimatch is an AI-powered B2B lead finder that focuses on fit-first prospecting:
- You describe your ICP in plain English.
- It analyzes company websites using semantic search to understand what each company does.
- It qualifies and ranks results based on your criteria and provides an explanation of why a company matches.
- It then delivers verified contacts (emails and phone numbers) by job title.
- You can export via CSV or send leads directly to tools like HubSpot, Salesforce, Instantly, and Lemlist.
In practice, it’s positioned as a replacement for checkbox-filter databases by focusing on semantic understanding and automated qualification, so your list is closer to “ready to outreach” from the start.
How Intellimatch works: from a plain-English ICP to verified contacts
1) Describe your ICP in plain English
You start by writing what you want in natural language: business model, industry, what the company sells, who it sells to, and location. Intellimatch supports highly specific queries, such as:
- “Agencies in Europe specializing in paid ads for e-commerce.”
- “Tech startups in the US working on machine learning with fewer than 50 employees.”
This approach makes it easier to capture what your team actually means by “good fit,” without forcing you to compromise your targeting because a dropdown menu doesn’t have the right option.
2) Intellimatch finds and ranks companies using semantic website analysis
Instead of relying only on static database fields, Intellimatch analyzes company websites in real time to understand:
- What they sell
- Who they serve
- How closely they match your criteria
The output is not just a list, but a ranked set of companies aligned to your prompt, with reasoning that helps teams trust the results and move faster.
3) Choose job titles and get verified emails and phone numbers
Once you have the right companies, you can select the job titles you want to reach and request:
- Verified emails
- Phone numbers
- Or both
Intellimatch includes real-time email verification and offers a < 5% bounce-rate guarantee, which is particularly useful for protecting deliverability when you’re running cold outreach at scale.
4) Export to your workflow (CSV, CRM, and sequencer integrations)
After building your list, you can move it into your existing process with:
- Native export to CSV
- CRM integrations including HubSpot and Salesforce
- Outbound tool integrations including Instantly and Lemlist
This reduces tool switching and helps teams go from “targeting idea” to “contacts in sequence” without the usual patchwork of scraping, verifying, deduping, and importing.
Broad vs Targeted search modes: choose discovery or precision
Different campaigns need different list-building strategies. Intellimatch supports two search modes:
Broad mode (discovery)
Broad mode casts a wider net by including companies adjacent to your search criteria. It is designed for discovering new segments and variations of your ICP you might not have considered.
- Best for: new markets, early-stage positioning tests, expanding a working niche
- Credit cost: 1 credit per 10 companies (as described in the product FAQs)
Targeted mode (precision)
Targeted mode is stricter and aims to include companies that closely match your query. This is useful when you already know what you want and you care more about precision than volume.
- Best for: account lists for high-intent outreach, niche services, enterprise targeting
- Credit cost: 1 credit per company (as described in the product FAQs)
Built for conversion outcomes: quality targeting, faster execution
Intellimatch is designed around the idea that list quality drives the whole funnel. When targeting improves, multiple metrics can improve with it:
- More relevant first touches, because companies actually match what you sell
- Higher reply rates, because your messaging lands on a real pain point
- Fewer wasted sequences, because you aren’t flooding the wrong audience
- More selling time, because manual qualification is reduced
According to the provided product information, Intellimatch highlights outcomes like 10+ hours saved weekly by eliminating manual lead qualification and claims around ~95% match accuracy for relevance out of the box. Actual results will vary by market, ICP clarity, and campaign execution, but the intent is clear: more time spent on outreach that converts, less time spent researching.
Verified contacts with credit-based pricing
Once companies are identified, Intellimatch delivers contacts by job title with a credits-based model:
- Emails: 1 credit each (as described in the product FAQs)
- Phone numbers: 10 credits each (as described in the product FAQs)
This structure gives teams flexibility to optimize spend depending on their motion. For example, a cold email-heavy team may focus primarily on verified emails, while a sales development team running multi-channel outreach may add phone numbers for high-priority accounts.
Compliance and trust: SOC 2 Type II and GDPR
For B2B teams, lead generation touches sensitive operational realities: data handling, security expectations, and regulatory requirements. Intellimatch states that it is:
- SOC 2 Type II compliant
- GDPR compliant
These commitments can make it easier to evaluate the tool for professional use, especially when your outbound motion interfaces with core systems like your CRM.
Comparison: Intellimatch vs traditional lead databases
| Capability | Most lead databases | Intellimatch |
|---|---|---|
| How you define an ICP | Checkbox filters (industry, size, location) | Plain-English ICP description |
| How companies are qualified | Often requires manual review | Semantic analysis of company websites to qualify and rank |
| Relevance to niche criteria | Limited by taxonomy and tags | Designed to capture nuance in what companies sell and who they serve |
| Contacts and verification | Often separate tools for finding and verifying | Verified contacts with real-time verification and a < 5% bounce-rate guarantee |
| Workflow handoff | CSV export, sometimes limited integrations | CSV export plus native integrations (HubSpot, Salesforce, Instantly, Lemlist) |
Where Intellimatch fits best: teams and use cases
Because Intellimatch is optimized for semantic ICP matching and verified contacts, it aligns well with teams that care about relevance and speed.
Outbound sales and SDR teams
- Build lists faster without sacrificing targeting nuance
- Reduce time spent opening tabs to manually qualify
- Protect deliverability with verified emails
Lead generation agencies
- Handle niche client requirements more easily with plain-English targeting
- Deliver “ready to outreach” lists that match client ICP language
- Export cleanly into client CRMs and sequencers
Growth teams testing new segments
- Use Broad mode to discover adjacent audiences
- Use Targeted mode when you’ve found a winner and want precision
- Move from research to outreach without stitching together multiple tools
Practical tips to get the best results from an AI ICP lead finder
Write ICP prompts like a human qualifier would
Intellimatch is designed for clear descriptions. Include the elements that actually determine fit:
- What they sell (and category)
- Who they sell to (vertical, buyer type)
- Where they operate (location)
- Business model (agency, SaaS, etc.)
Use exclusions to protect your pipeline hygiene
If you already have customers or prior prospects you want to avoid, Intellimatch supports uploading an exclusion list so they are filtered out automatically. This helps prevent duplicate outreach and keeps your reporting cleaner.
Match your contact request to your channel strategy
- If you run primarily cold email, prioritize verified emails.
- If you run multi-channel, add phone numbers for high-value accounts.
- Choose job titles aligned with your message (decision-maker vs champion vs operator).
What users highlight: relevance, niche targeting, and less wasted work
In the provided testimonials, users emphasize that Intellimatch helps reduce irrelevant results and handles niche nuances better than filter-based approaches.
“The problem with LinkedIn is that they only give you so much data based on the filters you put in and a lot of non relevant companies. Intellimatch is a way better solution.”
Joe Van Wyk, Head of Sales, AIGROWTHHUB
“We only work with biotech so there’s always tons of weird nuances in the data when we need to build company lists but Intellimatch actually works surprisingly well even when I search for super niche specifics.”
Harrison Waid, Co-Founder, Succession Bio
FAQ: key details to know before you adopt Intellimatch
What kinds of searches work best?
Simple, clear descriptions of ideal companies work best. You can be very specific, but the criteria should be discoverable from a company’s website (rather than internal signals a website wouldn’t reveal).
Can you get both emails and phone numbers?
Yes. You can request verified emails, phone numbers, or both, based on job title targeting.
How do exports and integrations work?
You can download results via CSV or push them into your existing systems using native integrations such as HubSpot, Salesforce, Instantly, and Lemlist.
How does bounce protection work?
Intellimatch includes real-time email verification and offers a < 5% bounce-rate guarantee, which supports healthier sending performance for outbound campaigns.
Bottom line: a faster path from ICP to outreach-ready lead lists
If your outbound team is tired of wrestling with filters, manually qualifying hundreds of “maybe” leads, and stitching together separate tools for companies, contacts, and verification, Intellimatch is built to streamline the workflow.
By combining plain-English ICP targeting, semantic website analysis, ranked company matching, and verified contacts with CRM and sequencer integrations, it aims to help teams spend less time researching and more time running high-quality outreach that converts.
