Opportunity & keyword modelling
We size the addressable query space before writing a line of template code — head terms, modifier sets, and the long-tail combinations that have real demand behind them.
We design the data models, templates, linking graphs, and quality gates that let data-rich sites publish thousands of pages that actually deserve to rank — and prune the ones that do not.
We size the addressable query space before writing a line of template code — head terms, modifier sets, and the long-tail combinations that have real demand behind them.
Your catalogue, product data, public datasets, or first-party research modelled into clean entities and attributes that a template can join against without producing thin pages.
One template per intent, not per URL pattern — with unique modules, real supporting content, and enough differentiation that each page earns its place in the index.
Deterministic sibling, parent, and hub links generated from the same entity graph that generates the pages, so crawl depth stays shallow at any scale.
Minimum-data thresholds, duplication scoring, and noindex rules that stop weak pages from ever publishing — the difference between compounding and a manual action.
Crawl, index coverage, and revenue per indexed URL reported by template family, so you can retire what does not work instead of guessing.
Two weeks to answer one question: is there a defensible programmatic opportunity here? Query space sizing, data availability review, and a competitive teardown of who already ranks.
Entity model, URL scheme, template specs, and a pilot batch of 50–200 pages shipped with your engineers so we can measure before we scale.
Roll the validated template families across the full dataset, wire the internal linking graph, and put the quality gates into your build pipeline.
Monthly index-coverage reviews, refresh cycles on stale data, and deliberate pruning of template families that fail on revenue per URL.
We scope per programme rather than publishing fixed packages — page count, data complexity, and engineering involvement vary too much for a price list to be honest. Here is the shape of it.
A go/no-go verdict with query sizing, data model sketch, and a page-count forecast. Credited against a build engagement if you proceed.
Architecture through validated pilot and scale-out, delivered alongside your engineering team. Scoped per programme rather than sold as a package.
For teams operating a live programmatic estate: index hygiene, template expansion, and reporting by template family.
Three things a content agency does not: model your data into entities a template can safely join against, build the template and internal linking systems that turn that data into indexable pages, and enforce quality gates so scale never becomes thin content. Writing is the smallest part of the work.
The honest answer is: as many as you have unique, useful data for — and not one more. Most engagements land between a few hundred and a few tens of thousands of pages. If the dataset only supports 300 genuinely differentiated pages, publishing 30,000 is how you get deindexed.
Google penalises thin, duplicative, unhelpful pages regardless of how they were produced. Pages generated from real data that answer a real query rank fine. The risk lives in the quality gates, which is why we build them before the templates.
Pilot batches typically show index coverage within 3–6 weeks and first meaningful traffic in 8–16 weeks. Full estates compound over 6–12 months as internal links mature and crawl frequency rises.
Fixed fee for the feasibility sprint, project fee for the build, optional monthly retainer to operate the estate. We scope per programme because page count, data complexity, and engineering involvement vary enormously.
Usually yes, and that is a feature. Programmatic SEO is a build problem more than a marketing problem. We write the specs, review the implementation, and can pair with your engineers — but the system lives in your codebase, not ours.
Book a free 30-minute call. We'll look at your dataset live and tell you whether it's worth building — even if the answer is no.
Want to see the patterns first? Our breakdown of eight worked programmatic SEO examples shows the template, data source and quality gate behind each one.
Read the 8 worked examplesData models, templates, internal linking, and quality gates for scaling SEO without scaling headcount.
Our honest take on the data stores, headless CMSs, and static generators worth wiring together.
A studio playbook for SaaS teams — intent-mapped templates, brand-safe quality, and pipeline attribution.
Scale discovery for large catalogs — facets, category templates, and automated internal linking.
Editorial systems, topic taxonomies, and brand-safe quality gates for scaling content without losing voice.
A founder's decision framework — headcount cost, time-to-impact, and the hybrid model most SaaS teams settle on.
Data-driven landing page and SEO conversion benchmarks for B2B SaaS growth teams baselining performance.
Eight worked patterns with the template, data source, page count, URL shape and quality gate behind each one.