How we designed Clay's prospecting intelligence landing page — turning a six-tab research problem into a page that sells one thing: a shorter, better list.
A rep opens LinkedIn, a data vendor, the CRM, a news tab, the sequencer and a spreadsheet. Forty minutes later they have one email and no idea whether the account is even in market. The page had to make that felt — not explained.
Every competitor sells volume — more contacts, more records, more coverage. A rep doesn't want more. They want fewer, better names and a reason to call each one. So the whole page argues for subtraction.
The hero promises knowing who's buying before they raise a hand. The final CTA promises a shorter, better list. Everything between them exists to prove that one claim.
Buyers burned by bad data don't believe accuracy claims. They believe a visible process — so we put the enrichment waterfall itself on the page.
Every generated line traces back to a real source — a job post, a filing, a launch. Citations are the only credible answer to "isn't this just AI slop?"
Sales tooling is dashboards and tables. A soft, tactile 3D clay world in violet and lime buys attention in a feed of identical SaaS pages.
Three claims a buyer won't take on faith — coverage, scoring and personalization. Each got its own block, its own colour, and a screenshot of the feature actually doing the work.
One provider misses. Two providers disagree. So we showed the waterfall itself — 140+ sources running in sequence, each result checked against the last, with a confidence score attached.
Most scores are a black box with a number on the front. We surfaced the four inputs behind every score — so a rep can defend the call to their manager, and a manager can defend the forecast to the board.
The strongest anti-AI-slop argument on the page: every line in the draft is cited back to its source — a job post, a filing, a launch — so a rep can verify the claim before it goes out.
Static screenshots show a tool. We framed the workspace mid-task — an agent running a list, checking off steps, pushing to the CRM — so the buyer sees outcomes arriving rather than an interface waiting for them.
We placed testimonials from working sellers directly before the ROI block — the exact moment doubt peaks and price enters the buyer's head.
"My reps used to open the week with a list and a prayer. Now they open it with twelve accounts that did something last Thursday. That's the whole difference."
"The part I didn't expect: onboarding. New SDRs used to take a quarter to learn the territory. Sightline hands them the context on day one, so they're calling in week one."
"We replaced two data vendors and a very tired spreadsheet. The credit pool is per team, not per seat, and the scoring gave my managers something to coach against."
Rather than publishing an ROI figure nobody believes, we let the buyer build it. Reps get roughly eleven hours a week back, and the accounts they call are pre-qualified — the math runs on their team, their numbers.
We asked Clay's team which five questions come up on every first call, then answered them in the buyer's own words. An FAQ isn't filler — it's the cheapest way to remove the objections that stall a deal.
An AI prospecting intelligence platform. It continuously researches your target accounts, enriches contact data, detects buying signals like hiring, funding and tech-stack changes, and drafts personalised outreach — then writes it all back to your CRM.
It watches public signals across job posts, filings, funding announcements, tech-stack changes and news, then scores each account on fit, reachability and timing — with the inputs behind every score visible to the rep.
Yes. It writes to Salesforce and HubSpot as native fields, and pushes drafted outreach to Outreach, Salesloft or Apollo, so reps keep working where they already work.
From 140+ licensed providers and public sources, run as a waterfall so each result is checked against the last. Every record carries its source, and coverage is GDPR and CCPA compliant.
Credits are pooled across the team rather than charged per seat, so you're not paying for reps who prospect lightly. Most teams see payback in under two months.
In a category selling "more," promising less is the sharpest position available.
Buyers burned by bad data believe a visible process, not an accuracy claim.
Sourced output is the only credible answer to "isn't this just AI slop?"
A number the buyer built themselves is a number they'll defend internally.
Distinct art direction is a conversion asset, not decoration.
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