Finding high-quality B2B leads often breaks down at the same point: the list looks good on paper, but it is full of companies that are not truly a fit. You can filter by industry, headcount, and location all day, yet still end up spending hours manually qualifying websites, second-guessing whether a company matches your Ideal Customer Profile (ICP), and hunting for accurate contact details.
Intellimatch is designed to remove that friction. It lets sales, outbound, and agency teams describe their ideal customer in plain English, then uses semantic search and real-time company website analysis to automatically find, qualify, and rank company matches. Once you have the right companies, it can also source role-based contacts with verified emails and phone numbers, then export results via CSV or native integrations such as HubSpot, Salesforce, Instantly, and Lemlist.
Why lead sourcing often fails (even with “good” filters)
Traditional lead databases typically rely on checkbox filters. That approach is fast, but it does not capture the nuance that actually determines fit, such as:
- What the company really sells (beyond a broad category)
- Who they sell to (and how they position themselves)
- Whether their offering matches your niche requirements
- Whether they operate in a specific model (agency, SaaS, marketplace, services, etc.)
The result is predictable: teams either waste time manually reviewing every row, or they send outreach to companies that were never likely to buy. Intellimatch positions itself as a different workflow: instead of only filtering metadata, it analyzes what companies communicate about themselves on their websites and uses that to judge fit.
What Intellimatch is and who it is built for
Intellimatch is an AI B2B lead finder designed to help teams build highly relevant lead lists quickly. It is particularly suited to:
- Sales teams who need better-fit accounts and accurate contacts
- Outbound teams optimizing for deliverability, reply rates, and pipeline efficiency
- Agencies that need to source niche client types and move fast across campaigns
It combines three jobs that are often split across multiple tools into one workflow:
- Company discovery (finding the right firms)
- Qualification (checking whether they actually match your ICP)
- Contact sourcing and verification (finding role-based contacts with verified details)
How Intellimatch works (step by step)
1) Describe your ICP in plain English
Instead of building a long chain of filters, you write what you want in normal language. Your description can include business model, industry, what the company sells, who they sell to, and location. Examples of the kind of specificity supported include niche queries like “Agencies in Europe specializing in paid ads for e-commerce.”
2) Intellimatch finds and ranks company matches
Intellimatch uses semantic search plus real-time company website analysis to understand what a company does and how well it matches your criteria. Matches are ranked, and the tool can provide explanations for why a company fits the search.
3) Choose roles and pull verified contacts
Once you have a list of companies, you select the job titles you want to reach (for example, founders, heads of sales, marketing leaders, operations, or other relevant stakeholders). Intellimatch can return:
- Verified emails
- Phone numbers
- Or both, depending on your outreach needs
4) Export to your workflow
You can download results via CSV or push them into tools you already use. Intellimatch supports native integrations such as HubSpot, Salesforce, Instantly, and Lemlist, helping teams move from lead discovery to live outreach with fewer handoffs.
What makes Intellimatch different: semantic search + website-based qualification
One of the most valuable promises in the Intellimatch approach is that it attempts to qualify companies the way a human would, automatically. Instead of relying only on fixed categories, it reads a company’s public website content to determine:
- What they sell and how they describe it
- Who their target customers are
- Whether they match niche criteria that filters often miss
This is especially helpful when your ICP depends on nuanced positioning (for example, a “biotech-focused” services firm versus a general consultancy, or an agency that truly specializes in a channel versus one that lists it as a bullet point).
Benefits that matter to outbound performance
Save time by removing manual qualification
Manual lead qualification is expensive because it consumes the time of the exact people you want doing higher-leverage work: writing better sequences, iterating on positioning, and having more conversations. Intellimatch is positioned to eliminate much of that manual review by automating company research and ranking.
The product messaging highlights 10+ hours saved weekly by reducing manual qualification. For teams running frequent campaigns, those hours can be reinvested into personalization, follow-ups, and offer refinement.
Increase relevance, improve reply rates
Reply rates usually improve when lists improve. When more prospects actually match your ICP, your message resonates more often, objections are more predictable, and your offer lands with the right context. Intellimatch is built around delivering better-fit companies, which supports the downstream goal of higher engagement.
Boost deliverability with verified data
Deliverability is the foundation of outbound. Intellimatch includes email verification and offers a <5% bounce-rate guarantee, which is a meaningful operational benefit for teams protecting domain reputation and trying to keep campaigns stable.
Get to the right people faster with role-based contact sourcing
Even the best account list fails if you cannot reach the right stakeholders. Intellimatch lets you target by job titles and retrieve verified emails and phone numbers. That supports multi-channel outreach strategies and reduces the time spent switching tools just to complete a contact record.
Built-in controls for cleaner lists and better targeting
Exclusion lists to avoid duplicates and wasted touches
Intellimatch supports exclusion lists, allowing you to filter out companies you have already contacted, current customers, or past prospects. This helps teams avoid repeated outreach, reduce CRM clutter, and keep reporting cleaner.
Two search modes: Broad vs. Targeted
Different campaigns require different levels of precision. Intellimatch offers two modes:
- Broad mode: casts a wider net and can include adjacent companies that might still be relevant. Pricing is credit-based (stated as 1 credit per 10 companies).
- Targeted mode: stricter matching for higher precision and fewer off-target results. Pricing is credit-based (stated as 1 credit per company).
This split can be useful when you want to explore new segments (Broad) versus execute a tightly defined ICP play (Targeted).
Contact data and credits: a practical overview
Intellimatch uses credit-based pricing for data retrieval. As described, the tool differentiates between email and phone data:
- Verified emails: stated as 1 credit each
- Phone numbers: stated as 10 credits each
This structure can help teams control costs by choosing the minimum data needed per campaign. For example, an email-first motion might prioritize verified emails, while an SDR team running call-heavy plays may selectively pull phone numbers for the highest-ranked accounts.
Integrations and export options: from list to outreach without friction
Lead generation is only valuable if it turns into action. Intellimatch supports:
- CSV export for flexible importing into spreadsheets, CRMs, and enrichment workflows
- Native integrations with tools such as HubSpot, Salesforce, Instantly, and Lemlist
For teams working at speed, integrations reduce copy-paste errors, keep fields consistent, and shorten the time between “found a lead” and “sent the first message.”
Trust, compliance, and operational readiness
When lead workflows touch personal data, compliance and security matter. Intellimatch highlights the following commitments:
- GDPR compliance
- SOC 2 Type 2 compliance
- Hosted in the EU
For teams that need to align prospecting operations with internal policies (or customer expectations), these items can reduce friction in procurement and security reviews.
Proof points and real-world feedback
Intellimatch is positioned as trusted by 10,000+ outbound specialists and sales teams. It is also described as ranked #1 by Clay for email finding and verification.
Users highlight the practical difference between filter-based databases and a more semantic, website-informed approach:
“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
“Findymail is an excellent product. Works exactly as described and great support. I recommend it for cold emailers and anyone who needs to reach out to people's B2B E-mail Address!”
Jesse Ouellette, Founder of LeadMagic
Use cases where Intellimatch can shine
1) Agencies building niche prospect lists
Agencies often sell a specialized outcome (for example, performance marketing for e-commerce, outbound for B2B SaaS, or SEO for local services). Success depends on finding companies with the right business model, maturity level, and buying triggers. Writing an ICP in plain English and letting Intellimatch qualify sites can help agencies scale list building across multiple client campaigns.
2) Sales teams running account-based outbound
When your outreach is account-based, quality matters more than quantity. Intellimatch’s ranked matches, role-based contact sourcing, and exports to CRMs like HubSpot and Salesforce support a tighter, more intentional pipeline-building motion.
3) Teams exploring new verticals with Broad mode
If you are testing messaging for a new segment, Broad mode can help you identify adjacent companies you might not have considered. This can be particularly helpful for discovery campaigns where the goal is learning and iteration.
Feature summary table
| Capability | What it helps you do |
|---|---|
| Plain-English ICP input | Define targeting without complex filters |
| Semantic search | Match based on meaning and nuance, not only categories |
| Real-time website analysis | Qualify companies by what they actually say and sell |
| Ranked company matches with explanations | Prioritize outreach and understand why a lead fits |
| Role-based contact sourcing | Find decision-makers and relevant stakeholders by title |
| Verified emails and phone numbers | Improve deliverability and support multi-channel outreach |
| <5% bounce-rate guarantee | Protect sending reputation and reduce wasted sends |
| Exclusion lists | Avoid re-contacting existing customers or old prospects |
| Broad and Targeted search modes | Balance discovery vs. precision depending on campaign needs |
| CSV export + native integrations | Ship lists into HubSpot, Salesforce, Instantly, Lemlist, and more |
| GDPR + SOC 2 Type 2 compliance (hosted in EU) | Support internal security and privacy requirements |
How to get the best results from Intellimatch searches
Because Intellimatch relies on website-accessible information, the best queries are clear and observable from public pages. In other words, describe traits you would expect a company to communicate on its website.
Practical tips for stronger ICP prompts
- Include what they sell, not just the industry (for example, “subscription billing software” rather than “fintech”).
- Specify the buyer (for example, “selling to e-commerce brands” or “selling to HR teams”).
- Add geography if it matters (country, region, or market).
- Use examples of what “good” looks like (for instance, “specializing in paid ads for e-commerce”).
- Decide upfront whether you want broader discovery (Broad) or strict matching (Targeted).
The product guidance also notes that searches requiring internal or non-public data (such as whether a company is hiring right now, or which software tools they use) are not ideal if that information is not accessible via the website.
Bottom line: a faster path to better-fit leads and cleaner outreach
Intellimatch is built around a simple promise: describe your ideal customer in plain English, and let AI handle the heavy lifting of finding and qualifying companies, then sourcing verified contacts you can actually reach. By combining semantic search, real-time website analysis, contact sourcing, and verification into one workflow, it aims to help teams build more relevant lists in minutes rather than hours.
For sales, outbound, and agency teams focused on efficiency and outcomes, the value is straightforward: less time wasted on manual research, fewer bounces thanks to verification and the stated <5% bounce-rate guarantee, and more campaigns aimed at companies that genuinely match your ICP. With a stated 95% match accuracy, built-in exclusion lists, Broad and Targeted search modes, and exports into major CRMs and sequencers, Intellimatch positions itself as an end-to-end lead finding engine built for modern outbound execution; click here.
