AD-APT — DYNAMIC LANDING PAGES
Ad-Apt reads your brand the way a strategist would — your site, your reviews, your rivals, your real differentiators — then builds landing pages that introduce your offer, ask a couple of genuinely useful questions, and quietly reshape themselves around each visitor's answers and behaviour. Every variation is a Bayesian experiment. Every experiment converges on what actually produces leads. Not clicks. Leads.
Free to start. The first thing you get isn't a page — it's the intelligence report most agencies would bill a week for.
It scrapes your web presence, reviews, and competitors — split into DIY, services, incumbents, and the AI upstarts — and hands you offerings, price points, USPs, and oddly specific ICPs before a single pixel is proposed.
Two-stage pages: a sharp hero plus three questions with no wrong answers. Answers (and scroll, dwell, hesitation) re-order the page, tune the CTA, and time a single, polite text nudge. Skippable, consent-gated, never a pop-up.
Thompson-sampled variants, Beta posteriors, P(best) and expected loss on a wall. A winner is promoted when the math clears 95% on lead conversion — and the result joins a compounding library of what works for which ICP.
Chat grounded only in your published facts. Email drop. Whitepaper or brochure sent. Call-back. Video call. Instant quote calculator. Demo. You flip on the ones you service; the page routes each visitor to theirs.
The intelligence maps keyword demand, the ad-message each landing page must match, and the questions buyers now ask AI assistants — so experiments optimize what demand actually looks like in 2026.
No fake countdowns, no “3 people are viewing”, no confirm-shaming. A hard gate strips them at generation and at render — even when the dark version would convert better. Especially then.