Templated at scale, where the data earns it.
A narrow service. It only works when the site has real underlying data to template against. We say no to most briefs that ask for it.
Most programmatic SEO is just spam.
The difference between a useful templated page and an obvious stub is the data behind it. Pages need real signal underneath, every time.
What most attempts look like
- 01Prompt to LLM
Spin up many pages from prompts alone. No source data. Reads as filler in seconds.
- 02Headers with variables
{Service} in {City} replicated tens of thousands of times. Same body, same outline, no signal underneath.
- 03No human in the loop
Pages publish straight from the pipeline. No QA, no editorial check, no spot-fix.
- 04Hides shallow content
Filler under FAQ accordions and 'related searches' to pad page length.
What we ship
- 01Pages from real data
Each page has structured data underneath: inventory, geography, pricing, reviews, whatever the dataset actually is.
- 02Template, then critique
We write one good page first, then template the shape. Bad templates get killed before the batch ships.
- 03Human QA per batch
Sample pages get read end to end before each batch publishes. If samples read as filler, the batch does not go live.
- 04Owner for the long tail
Pipelines need maintenance. We hand them off with monitors and a kill switch for templates that stop earning.
Three checkpoints before pages go live.
Programmatic projects fail when teams skip the validation steps. We build them in by default.
Is there enough signal here?
Before any templates, we look at the data: how complete it is, how often it updates, what is missing for the queries you want to win. If the data is not there, programmatic is not the answer.
- Data completeness across the page set.
- Refresh cadence vs query intent.
- Gaps the template cannot paper over.
One good page before fifty thousand.
We write the canonical version of a single page by hand. It has to rank on its own merits before we template the rest. If the manual version does not rank, the templated ones definitely will not.
- Real intent satisfied on the canonical page.
- Internal links earn their place.
- Page reads as a destination, not a stub.
Ship, then watch carefully.
Pages roll out in batches with QA sampling and post-publish monitoring. Pages that do not earn impressions get pruned, not left to rot.
- ahrefsper-template ranking and traffic
- Search Consolelive impressions and clicks per slug
- GA4conversions joined to template variant
Stages of a programmatic project.
These are not weeks. Programmatic projects move at the pace of the data and the build pipeline, not a calendar.
Data and demand check.
Look at the dataset, the existing pages, the search queries. Decide if programmatic is the right tool. Most of the time it is not.
Hand-build one page.
Write the canonical version of one page in the set. It has to rank on its own to prove the template is worth scaling.
Codify the page shape.
Turn the canonical page into a template. Define what data slots fill, what stays static, where editorial judgement is required.
Batch, sample, ship.
Pages roll out in batches with a sampled QA pass per batch. Bad batches get pulled before they go live.
Keep the surface healthy.
Watch impressions per template. Prune what does not earn. Update what does. The pipeline runs for as long as the data behind it stays fresh.
AI writes the pages. Humans set the bar.
Programmatic SEO is one of the few channels where AI-generated copy IS acceptable, but only when the underlying data is real and humans have set the template, the brief, and the QA bar.
- Fills the templated copy from your structured data, page by page.
- Drafts variants of the standard sections that adapt to the data per page.
- Writes FAQ-style answers when the question pattern is consistent across the set.
- Generates internal-link suggestions based on data relationships.
- Surfaces pages where impressions drop and templates need attention.
- Writes the canonical page by hand. The template never leaves a human's keyboard the first time.
- Decides which templates to ship and which to kill.
- QAs sampled pages per batch. If samples read as filler, the batch does not go live.
- Owns the relationship with editorial guidelines, brand voice, and legal compliance.
- Makes the call on when to prune a template that is no longer earning.
Questions we hear most.
If yours is not here, ask. We will answer plainly.
Will you let AI write our programmatic pages?
Yes. AI writes the bulk of the templated copy, that is how programmatic scales. But humans write the canonical page first, set the brief, define the template, and QA samples per batch. AI is the multiplier; humans set the bar.
How many pages can you publish?
As many as the data supports. We will not ship pages that do not have real underlying data because search engines notice, and the whole surface suffers when thin pages are stapled to a real one.
Do you handle the engineering side?
We handle the SEO side end to end: audit, templates, QA, monitoring. The engineering pipeline (CMS, build, deploy) is usually your team. We can pair on it if you need help shaping it.
What if our data is incomplete?
Most data is. We work with what is real. Sometimes that means a smaller page set than the brief asked for. Sometimes it means waiting until the data fills in. We will not pad pages to hit a target count.
How do you decide which templates to kill?
Impression and conversion data, per template. Templates that do not earn impressions after a fair window get reworked or pruned. Same for individual pages within a template that underperform.
How is this different from regular SEO?
Regular SEO is editorial: pillars, depth pieces, refresh cycles. Programmatic SEO is structural: one template, many slots, real data filling each slot. Different muscle. Sometimes we do both for a client, sometimes only one fits.
Stop padding pages with filler.
A short call to see if programmatic is the right tool for your data. If it is not, we will tell you what is.