Programmatic SEO with semantic understanding.

Why "keyword targeting" is the wrong frame.

Modern Google does not rank a keyword. It ranks an entity matched against an intent. RankBrain reformulates the query; BERT parses the relationships between words; MUM blends signals across language, image, and context. If you wrote your page to win a keyword, you wrote it for a 2014 algorithm.

The Ferminius approach starts with the question — the actual question a buyer asks at the moment they have money and a deadline — and reverse-engineers the page from there. That is what programmatic SEO is supposed to mean. Not a thousand thin pages cloned from a spreadsheet.

What the engagement actually delivers.

1. Intent map. Two weeks of work. Every commercial query in your vertical, mapped to the buyer's stage (problem-aware, solution-aware, decision-ready) and to the SERP shape Google currently rewards.
2. Topical architecture. A site structure where each pillar page has a defensible reason to exist, and each cluster page answers a real sub-question — not a synonym variant.
3. Programmatic templates. 50 to 800+ pages generated from a structured data source (locations, conditions, products, use-cases). Each page validated against a quality threshold before it ships to the index.
4. Schema layer. JSON-LD for Article, LocalBusiness, FAQPage, HowTo, Product, Service, BreadcrumbList — whichever the page type warrants. Validated, not just installed.
5. Internal linking system. Programmatic, density-aware, and reviewed manually for the top 5% of pages by traffic potential.

What we don't do.

We don't ship AI slop. The model writes the first draft; a human (me, usually) decides whether the page deserves to exist. If a programmatic page can't earn at least one click per month within 90 days of indexing, it gets removed. The index is not a landfill.

We don't chase volume metrics. Sessions, bounce rate, time-on-page — these are vanity unless tied to a downstream commercial event. The dashboards we ship measure organic-attributed leads, organic-attributed revenue, and cost per organic acquisition. Three numbers.

Verticals where this works.

• Plastic surgery and aesthetic medicine — procedure × city × condition pages.
• Real estate — neighborhood × property-type × price-tier pages.
• E-commerce — collection × use-case × audience pages.
• Local services — service × neighborhood × intent pages.
• SaaS with a long-tail comparison surface — vs-pages, alternatives, integrations.

The first 21 days.