AI agents build thousands of useful pages from your data. Google ranks them. Buyers find you for free — every month, forever. We did it on our own product: 6 visitors a day on 3 April. 756 a day on 2 May. Same engine, your data.
Your database becomes thousands of pages. Google ranks them. Buyers find you for free.
Products, locations, services, profiles, comparisons. Anything with structure. Most B2B companies sit on a goldmine.
Thousands of them, each unique. A human sets the angle, AI does the volume. Pages ship in weeks, not years.
Pages rank in 60–90 days. Then compound. Every month: more visitors, paid by Google — not by you.
Real Search Console data from our reference build — a live B2B SaaS client. Two single days, one month between them.
LIVE CLIENT BUILD — WEEKLY VISITORS FROM GOOGLE — 16 MAR → 3 MAY 2026
One screenshot. On the call we open the live dashboard — page-by-page rankings, search queries, every template. Real numbers, not a deck.
Same engine, different data, different industries. Every template below is in production right now on a live client build, pulling free traffic from Google.
One template, real database — skills, salary bands, related roles. Each page reads like a real career guide. This is what built the chart above.
Career × data templateDifferent template, same engine. Each page connects a skill to all relevant careers via a 64,000-connection graph. Different data layer = different page type.
Skill × graph templateThe site you're on right now runs the same engine. Service × industry × location matrix. Different business, same playbook — proves the engine ports cleanly.
Open live page →Most agencies pump out templated pages with AI text. Google killed them in one weekend last December. Here's the difference, on a page level.
Same engine, different scope. Start small to test the playbook on your data, scale up when it's working. Pricing on the call.
Lowest-risk. Small slice of your data, first Google impressions by day 30. You decide before signing for more.
The main offer. 1,000 pages live in 90 days, then six months of monthly iteration. This is what built the chart above.
For large catalogs — marketplaces, comparison sites, multi-vertical. More clusters, dedicated build team.
Programmatic SEO only works when there's real first-party data underneath. If you have a database — products, locations, profiles, comparisons — this is for you.
B2B SaaS with feature × use-case × integration matrix. Series A–C, $1M–$30M ARR.
See the playbook →Embedded finance, payments, wealth, comparison-shopping for financial products.
See the playbook →AI-native B2B: model comparison, prompt libraries, evaluation, applied-AI vertical SaaS.
See the playbook →Two-sided marketplaces with listings, locations, categories, provider profiles.
See the playbook →Job boards, ATS platforms, talent marketplaces — role × location × industry inventory.
See the playbook →Comparison and directory businesses — product × feature × price × review data.
See the playbook →Regular agencies write 20 articles a month and bill you for keywords. We build thousands of pages from your database in weeks, then iterate every month based on real Google data. Different category — and we run it on our own product first, so we screen-share live numbers on the call.
Pricing depends on size — 100, 1,000 or 5,000+ pages. Recurring monthly across the engagement, not a one-off build. Book a 15-min call and we'll quote on the same call. No deck-back-and-forth.
Then programmatic isn't the right play yet. We'll tell you on the call. Sometimes the answer is 50 hand-written pages with topical authority, not 1,000 programmatic ones. We don't sell what doesn't fit.
First Google impressions: 30–60 days. First clicks: 60–90 days. Compounding curve: months 4–6. If you need traffic in 30 days, the answer is paid ads, not SEO — we'll say so.
We build the version that survives — first-party data, human edit layer, real schema. That's what passed the December 2025 update. No one can guarantee future updates, but we ship the version with the highest survival probability.
Engine supports six locales (EN, RU, UA, HE, ES, PT). EN is our largest production reference (our reference build, 8,700+ pages) and where the biggest upside is today. Other locales activate per client market — we'll tell you what fits on the call.
We screen-share the live client GSC dashboard, hear about your data, and quote on the same call. No follow-up deck.
