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Sayfitech
SEO & AI search

Programmatic SEO

Template-driven pages generated from structured data, built to be genuinely useful.

Engagement
Build engagement, then monthly expansion
Typical timeline
10–12 weeks to first scaled release
Starts with
A look at your dataset to judge whether it holds enough distinct information per page to justify one.
01The situation

You own a database that answers a question thousands of people type into Google every month, and it is locked behind a search box. Generate the pages carelessly and you get eight thousand near-identical URLs, most of which Google will refuse to index.

Why it matters

Thousands of qualified entry points from a single system.

Be the answer, in Google and in AI.

What we build

Concrete artefacts, handed over and documented.

  1. 01

    A demand model showing which page patterns have real search volume and how many pages each pattern justifies

  2. 02

    A page template that carries enough genuinely different information per page that a human would find it worth reading

  3. 03

    A quality gate refusing to publish any page below a data threshold, so thin pages never reach the index in the first place

  4. 04

    A generation and rendering pipeline that builds statically and refreshes when the underlying data changes

  5. 05

    Internal linking between generated pages and upward into hand-written hub pages that carry the authority

  6. 06

    Index monitoring split by template, so you learn which patterns Google accepts and which it drops

What changes

01

Coverage of long-tail demand that would take a writing team years to reach

02

Indexation rate is known per template, so a failing pattern gets retired instead of expanded

03

Traffic grows with your dataset rather than with your content budget

How it runs

Weeks 1–3

01Demand and template design

We test whether the data actually differs enough per page, which is the question that decides if this works at all.

Weeks 4–8

02Pipeline and first two hundred pages

A deliberately small launch, released to the index and watched, because the first batch tells you what the next eight thousand will do.

Weeks 9–12

03Scale in batches

Expansion in controlled waves, each one measured for indexation and engagement before the next is released.

06Typical stack

Chosen per project. Named here so you can see the shape of it.

  • Next.js
  • Postgres
  • Vercel
  • Ahrefs
  • Google Search Console
  • Screaming Frog

Questions we get asked

Next step

Tell us the outcome, not the tooling.

Send us the situation you are in. We will tell you which discipline it belongs to, what we would do first and what it costs, including when the answer is to wait.

Start a projectOr email us directlyinfo@sayfi.ai