Building high-performing outbound lists usually breaks down at the same point: defining your ideal customer profile (ICP) is easy, but finding companies that truly match it is slow. Traditional lead databases rely on checkbox filters like industry, headcount, and location—then you spend hours opening tabs, scanning websites, and realizing many “qualified” rows aren’t qualified at all.
Intellimatch is an AI B2B lead finder designed to flip that workflow. You describe your ideal customer in plain English, and Intellimatch uses semantic search to read and analyze public company websites, then automatically qualifies, ranks, and explains the best matches. On top of company discovery, it returns verified emails and phone numbers with real-time verification and a <5% bounce-rate guarantee, helping teams move faster while protecting deliverability.
What Intellimatch is (and what it’s built to replace)
Intellimatch is positioned for outbound specialists, agencies, and sales teams who want better-fit leads without spending large chunks of the week on manual qualification.
Instead of starting with filters and hoping the resulting list is relevant, Intellimatch starts with meaning: it interprets your description of “the kind of company you want” and matches it to what companies communicate on their websites—what they sell, who they serve, and how they position themselves.
The common “old way” problem
- Filter-first databases often misclassify nuanced offerings or business models.
- Manual review becomes unavoidable: opening sites, scanning pages, and deciding fit one company at a time.
- Separate tools for company discovery, contact finding, and verification create extra steps and more room for errors.
- Outdated contact data increases bounce rates and hurts sending reputation.
Intellimatch is built to reduce those failure points by performing the website research step automatically and returning verified contact data in the same workflow.
How Intellimatch works: from ICP to outreach-ready contacts
The workflow is designed to be simple enough for fast list-building, while still supporting nuanced searches that matter in real outbound.
1) Describe your ICP in plain English
You write what you’re looking for—business model, industry, what the company sells, who they sell to, and location. This can be broad or extremely specific.
Examples of the kinds of queries Intellimatch supports well include:
- Agencies in Europe specializing in paid ads for e-commerce
- Tech startups in the US working on machine learning with fewer than 50 employees
- Companies focused on a specific niche, where wording and positioning matter
2) Semantic search reads public websites and ranks company matches
Intellimatch analyzes company websites to understand what they do and how well they match your criteria. Instead of returning a flat list, it ranks results and provides explanations for why a company fits—so you can spot-check quickly and confidently.
3) Choose job titles and receive verified emails and phone numbers
Once the company list is generated, you specify the job titles you want to reach and whether you need:
- Verified emails
- Phone numbers
- Both
Contact data is verified in real time, supported by a <5% bounce-rate guarantee—a meaningful advantage for teams that care about deliverability and campaign stability.
4) Export or push directly into your stack
Intellimatch supports exporting your results as CSVs or pushing directly into popular CRMs and outbound sequencers, including HubSpot, Salesforce, Instantly, and Lemlist. That means less copy-pasting, fewer handoffs, and faster time from idea to live campaign.
Why semantic search is a big deal for B2B lead lists
The practical difference between “filters” and “semantic search” shows up in everyday scenarios:
- Two companies may share the same industry label, but only one targets your buyer persona.
- Many offerings don’t fit neatly into database categories (especially in biotech, vertical SaaS, and specialized agencies).
- Positioning language on a website can reveal who a company serves, what they sell, and how mature they are—signals that simple filters often miss.
Because Intellimatch uses public website signals to qualify and explain results, it can handle nuance in a way that resembles how a human researcher would evaluate fit—only much faster.
Intellimatch vs. typical lead databases (feature comparison)
| Capability | Typical lead databases | Intellimatch |
|---|---|---|
| How you define your ICP | Checkbox filters (industry, size, location) | Plain-English description of what you want |
| Company qualification | Manual review often required | Automated qualification based on real-time website analysis |
| Understanding nuance (who they sell to, positioning) | Limited by tags and categories | Semantic search that interprets what companies actually do |
| Contact workflow | Often separate tools for emails and verification | Companies, contacts, and verification in one workflow |
| Data quality protection | Higher risk of outdated contacts and bounces | Real-time verification and <5% bounce-rate guarantee |
| Activation into outreach | Export and manual import steps | CSV export or direct push to HubSpot, Salesforce, Instantly, Lemlist |
Key benefits teams report: speed, precision, and better outreach performance
Intellimatch is positioned around outcomes that matter for outbound performance—not just “more leads,” but more right leads.
Save hours of manual qualification every week
Instead of spending time verifying whether a company truly fits your ICP, Intellimatch performs that website-based research step automatically. The result is less list-cleanup and more time spent on the activities that drive pipeline: messaging, personalization, testing, and follow-up.
Increase relevance to improve reply rates
When lists are built around real ICP fit, campaigns tend to perform better because your value proposition lands with the audience it was designed for. Intellimatch’s ranking and match explanations make it easier to focus on companies that align with your offer.
Protect deliverability with verified contacts
Email verification is not just a “nice to have.” Lower bounce rates help protect sender reputation, which can keep campaigns stable over time—especially for teams running volume across multiple sequences.
Practical features that make list building more usable
Exclusion lists to avoid duplicates and repeat outreach
If you’ve already contacted certain companies—current customers, past prospects, do-not-contact accounts—you can upload an exclusion list. Intellimatch will filter those out automatically so you don’t waste credits or create awkward duplicate outreach.
Broad vs. Targeted modes (credit-based)
Intellimatch supports two operating modes depending on whether you’re exploring a market or tightening precision.
- Broad mode: casts a wider net and includes companies adjacent to your search criteria. It’s useful for discovering new segments or testing new angles. Pricing is credit-based at 1 credit per 10 companies in this mode.
- Targeted mode: applies stricter matching for higher precision and fewer off-ICP results. It’s useful when you already know exactly what you want. Pricing is credit-based at 1 credit per company in this mode.
For contacts, Intellimatch supports credit-based retrieval as well:
- Verified emails: 1 credit each
- Phone numbers: 10 credits each
Security and compliance: built for B2B teams that need trust signals
For many organizations, lead sourcing tools are part of the revenue stack and may touch sensitive workflows. Intellimatch is presented with compliance and hosting details that matter in vendor reviews:
- GDPR-compliant
- SOC 2 Type 2
- Hosted in the EU
These signals can simplify internal approval, especially for teams operating in or selling into regulated environments.
Where Intellimatch shines most (use cases)
1) Niche targeting where database categories fall short
When your ICP includes nuance—specialization, positioning, customer type, or a specific service line—semantic website analysis can outperform filter-based approaches.
2) Agencies building client lists fast
Agencies often need to spin up high-relevance lists on short timelines. Writing an ICP description in plain English and letting Intellimatch qualify and rank matches can compress list-building cycles from days to minutes.
3) Sales teams optimizing for quality, not just quantity
If your best outcomes come from fewer, better-fit accounts, Intellimatch’s targeted matching and explanations support a more deliberate outbound motion.
4) Teams who want a single workflow from company discovery to verified contacts
Instead of stitching together multiple tools, Intellimatch focuses on delivering company matches plus verified emails and phone numbers in one process—then exporting or pushing into your CRM or sequencer.
Real-world feedback highlights: relevance and niche performance
Intellimatch is used by outbound specialists and sales teams, and the product messaging emphasizes relevance over raw volume. User feedback also highlights how semantic matching can outperform traditional platforms in everyday prospecting:
“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
Important limitation: searches must rely on public website signals
Intellimatch qualifies companies based on what it can learn from public websites. That’s a strength for discovering and evaluating fit quickly, but it also defines the boundary of what it can do.
What to avoid in prompts
Queries that require private or internal data are not a fit—for example, criteria that would require access to internal systems or non-public details. In practice, that means avoiding prompts like:
- Companies hiring right now
- Companies using a specific internal tool (when it isn’t publicly stated on their website)
If your ICP can be expressed using public-facing signals—what the company sells, who they sell to, and how they position themselves—Intellimatch is designed to perform strongly.
How to write prompts that get better results
Because Intellimatch uses your plain-English description as the starting point, prompt quality matters. A good approach is to be specific about observable traits a website would mention.
A simple prompt template
- What they are: type of company (agency, SaaS, manufacturer, marketplace)
- What they sell: product or service line
- Who they sell to: target customers (e.g., e-commerce brands, hospitals, SMBs)
- Where they operate: region or country
- Optional qualifiers: specialization, vertical focus, positioning, pricing tier (if typically public)
Broad vs. Targeted: choose based on your goal
- Use Broad when you’re exploring new segments or you want a larger surface area for testing.
- Use Targeted when you want tight ICP alignment and minimal cleanup.
Bottom line: faster lists, better fit, and outreach-ready data
Intellimatch is designed for teams who want to move from “describe the customer we want” to “here are the best matching companies and verified contacts” without the traditional bottlenecks of filter-based prospecting and manual website review.
With semantic search for nuanced company matching, automated ranking and explanations, verified emails and phone numbers with real-time verification and a <5% bounce-rate guarantee, plus CSV export and direct integrations into tools like HubSpot, Salesforce, Instantly, and Lemlist, Intellimatch is positioned to save substantial qualification time and help outbound campaigns focus on prospects that are actually a fit.
If your targeting can be grounded in public website signals, Intellimatch offers a practical, compliance-minded path to higher-quality lists—built in minutes, not days.
