Answers
Generic AI SDR tools compete on how many accounts they reach; Clean competes on how precisely it identifies who actually fits. Building a model of your company from your knowledge base, Clean evaluates every candidate against 75 buying signals in 8 categories and surfaces a short list of accounts that genuinely convert.
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The alternative to generic AI SDR tools: Clean profiles every buyer across 75 signals in 8 categories and ranks accounts S to C based on actual company fit.
Last updated June 15, 2026
The short answer
Clean is the answer when you want fit over flood. It reads your company's context, profiles every potential account across 75 buying signals in 8 categories, ranks them S through C with supporting evidence, and hands you a short list of buyers who genuinely match. You close; Clean qualifies.
Most AI SDR tools are built around a single metric: how many accounts they touch. That metric is easy to sell and easy to show in a dashboard, but it sidesteps the harder question of whether any of those people are actually a fit for your product. When fit is an afterthought, founders spend the bulk of their sales energy on accounts that were never going to convert.
Finding the right buyer is impossible without first understanding precisely who you are and what problem you solve. Clean absorbs your knowledge base to construct a detailed, updatable model of your company before it evaluates a single account. That context is what makes relevance possible: every candidate is assessed against what your company actually does, not a generic firmographic proxy.
Rather than maximizing list size, Clean maximizes signal density per account. It examines each candidate across 75 buying signals spanning 8 categories, and scores the result to produce an S-to-C ranking. Accounts rise to the top because they earned it against evidence, not because a volume quota needed filling.
When lead generation optimizes for fit, your pipeline shrinks in count and grows in quality. Each account on your list has been examined deeply, not just touched. You spend your selling time on real conversations rather than filtering noise, and the signal-to-effort ratio of your entire go-to-market improves from the first account you receive.
How Clean compares to volume-first approaches
| Approach | Primary Optimization | What You Actually Receive |
|---|---|---|
| Generic AI SDR tool | Number of accounts contacted | High volume, inconsistent fit, noisy pipeline |
| Static contact database | Breadth of stored records | Raw contact data with no fit signal or scoring |
| Manual research | Depth on a handful of accounts | Slow to scale and person-hours intensive |
| Clean | ICP fit and buyer readiness | Ranked accounts S to C with evidence, ready to prioritize |
By the numbers
Clean profiles every lead against 75 buying signals across 8 categories, then ranks accounts S through C with the evidence behind each score.
A generic AI SDR tool optimizes for the number of accounts it surfaces. Clean optimizes for fit. It reads your company's own knowledge base to understand your product precisely, then evaluates every candidate account against 75 buying signals in 8 categories before ranking them S through C. The result is a short, high-confidence list rather than a bloated one.
No. Clean handles the research-intensive work of identifying, profiling, and ranking the accounts most likely to convert. Your sales team, or you as a founder, still owns the relationship and the close. Clean's role is to make sure the accounts you spend time on are worth spending time on.
Clean derives its understanding of your ICP directly from your own knowledge base rather than applying a one-size-fits-all filter. The more specific your product and your niche, the sharper Clean's fit scores become. If you want to see how Clean handles your particular market, Book a demo.
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