Houston SEO for a city too big to run on one playbook.

The single most expensive mistake in Houston SEO is treating the metro as one target. Houston covers roughly 10,000 square miles of metro area. A buyer in Cypress and a buyer in Pearland are 45 miles apart and will never see the same Local Pack, no matter how strong your citywide page is. Google's local ranking is proximity-weighted, and at Houston's scale proximity is decisive.

What this means in practice is that a 'Houston' service page is close to worthless as a ranking asset for local intent. It can win informational and brand queries, but the money queries — 'AC repair near me', 'dentist open Saturday', 'personal injury lawyer' — resolve against a Pack built from the searcher's location. The page that ranks is the one Google has associated with that catchment.

So we build catchment systems. Every Houston engagement starts by mapping where the business can actually deliver profitably, converting that into drive-time polygons rather than city or county shapes, and then building one substantive page per polygon. Each page carries its own local proof: named neighbourhoods, real jobs completed, local landmarks, and where relevant its own GBP. Six well-built catchment pages beat sixty thin ZIP-code doorways every time, and they survive the spam updates that keep eliminating the doorway approach.

Houston's category CPCs are among the highest in Texas. Personal injury, med spa, dental implants, and HVAC replacement all clear $20–$100 per paid click in this metro. Every organic Local Pack position you hold is displacing spend at that rate, which is why we report Houston programme value against paid-equivalent cost rather than raw session counts.

It also changes strategy. In a low-CPC market you can afford to chase volume. In Houston you chase the three or four query clusters that actually produce revenue, and you build genuinely superior assets against them rather than spreading thin. A single top-three Pack position for 'AC replacement Katy' is worth more than page-one rankings for thirty informational terms.

The corollary matters too: incumbents in these categories have been investing for a decade. Displacing them requires review velocity, link acquisition, and content depth sustained over quarters. Any Houston proposal promising top-three medical or legal positions in 90 days is either misinformed or targeting queries nobody searches.

Houston's enterprise base — energy, industrial, logistics, medical systems — has adopted AI-assisted research unusually quickly. In practical terms, procurement and technical buyers now open ChatGPT or Perplexity to build vendor shortlists before they ever run a Google search. If your brand is not part of the answer, you never enter consideration, and you will see no impression in Search Console recording that loss.

Optimising for that means something different from classic SEO. Assistants quote sources that are structured, specific, and citable: original data, clearly-scoped definitions, comparison tables, named authors with verifiable credentials. Vague marketing copy is invisible to them. We rewrite key Houston commercial pages to answer the underlying question in the first hundred words, then support it with evidence a model can lift verbatim.

The entity layer matters just as much. Houston enterprises frequently operate under multiple legal entities, brands, and subsidiary sites, which splits authority and confuses both Google's Knowledge Graph and LLM retrieval. Consolidating that — consistent Organization schema, a clean sameAs graph, one canonical brand hub — is often the highest-leverage single change available on a Houston enterprise site.

Weeks one to three are diagnostic: full technical crawl, catchment mapping against dispatch or patient data, GBP audit across every location, competitor set built per catchment rather than per city, and a baseline of Local Pack position by grid point rather than by single-point rank tracking. Grid-based tracking is non-negotiable in Houston; single-point rank data actively misleads at this geographic scale.

Weeks four to eight are build: technical fixes shipped, the first three catchment pages published, GBP categories, services, and service areas corrected, review acquisition flow instrumented, and schema deployed across templates. We sequence catchments by winnability, not by revenue, so the programme banks visible movement early while the harder Inner Loop or Uptown work compounds in the background.

Weeks nine to twelve are compounding: remaining catchment pages, the first local link placements, AI-answer content for the two or three highest-value question clusters, and the first full reporting cycle showing Pack position movement by grid point, GBP call and direction volume, and organic-to-lead attribution through the CRM. By day 90 you should be able to see which catchments are moving and where the constraint is — and the constraint in Houston is almost always reviews or local links, not on-page work.