Technical SEO Remediation
Canonical strategy for /products/ versus /collections/products/, robots.txt.liquid rules, parameter handling, pagination, sitemap hygiene and crawl-budget recovery.
Organic is the only channel in this city where you are not paying venture-subsidised prices for every visit.
Delivered remotely for brands across San Francisco and California.
Paid acquisition in this metro is priced by the wealthiest bidders in the country, which makes organic search structurally more valuable here than almost anywhere else — and structurally harder, because the same well-funded competitors are publishing content at a volume a five-person brand cannot match. So the winning approach is not more articles. It is owning the specific, high-intent queries your category generates and building a collection architecture that answers them directly, which is work most content-first competitors skip entirely.
The category shapes the query set. Refill and subscription brands get searched as problems — how often to replace, what to do when it runs out, whether a formula is compatible with something else — and those questions belong on collection and product pages carrying the buying decision, not on a blog three clicks away. Wine and craft beverage get searched by varietal, region, occasion and gift, plus a heavy seasonal spike around holiday and allocation releases. Hardware gets searched by comparison and by problem before the product even has a category name.
Brand-name collision is a genuinely local problem. This city names consumer brands the way it names startups, so a supplement company can find its own brand query returning a Y Combinator alumni page, a funding announcement and a job board above its store. That is fixable with entity work — consistent structured data, an accurate knowledge panel, disambiguated brand plus category terms — but it has to be treated as a project rather than assumed away.
Every market is heading toward answer engines mediating product research. This one got there first, because your customers work at, invest in or build the tools in question and were using them daily long before the mainstream. That moves GEO from a line item we describe as emerging to something with measurable consequences on your traffic mix now. Practically it means making your product data machine-legible and quotable: complete and accurate Product and Offer schema with live price and availability, ingredient, spec, sizing and compatibility facts written as plain retrievable statements rather than trapped in a lifestyle paragraph, review markup that reflects real reviews, and consistent brand entity signals across your site, your profiles and third-party mentions. We also report where you are cited, not just where you rank — and for a local flagship on Valencia Street or in Hayes Valley, we keep the traditional local pack work running alongside it, since a physical shop in this city still earns real map-driven footfall.
The same standard of work we run for every client — applied to a San Francisco brand’s realities.
Full service detailCanonical strategy for /products/ versus /collections/products/, robots.txt.liquid rules, parameter handling, pagination, sitemap hygiene and crawl-budget recovery.
A collection map built from real search demand, including sub-collections for attributes buyers search on: size, material, use case, price band, occasion.
Titles, descriptions, image alts, Product and Offer schema with live price and availability, plus review markup that stays valid as inventory changes.
Buying guides, comparisons and category explainers targeting mid-funnel demand, each linked into the collections they support. No filler blogging.
Entity and schema work, clean extractable answers, llms.txt and citation-worthy content so ChatGPT, Perplexity and AI Overviews reference your store.
Targeted outreach for editorial links to collection and guide pages from publications your buyers actually read. No directories, no link farms.
We do not work off a rate card. Every San Francisco engagement starts with a fixed statement of work — named deliverables, named dates, one number — written after we have looked at your store, not before. If a smaller first step would serve you better, we will say so.
Get this scopedA full crawl plus log-file analysis to find what Googlebot actually sees and where crawl budget is being spent. Findings ranked by revenue impact.
Keyword research mapped to your catalogue and margin, not to search volume alone. High-volume terms you cannot profitably serve get cut.
Technical remediation ships first. There is no point building content on a site that wastes half its crawl budget on filter URLs.
Collection landing pages and commercial content shipped on a fixed monthly cadence, each with internal links planned before it goes live.
Monthly reporting on non-branded organic revenue, index coverage and AI citations. Branded queries are excluded from every growth number we show you.
Anonymised under NDA. Figures pulled from the client’s own analytics.
8-figure DTC brand, ~140 SKUs, US + CA · Shopify Plus (migrated from Magento 2)
Magento 2 cost $9k a month in hosting, extensions and emergency dev before a single feature shipped. Mobile LCP sat at 5.4 seconds and mobile converted at less than half the desktop rate across 68% of sessions. The named constraint: 11,412 indexed URLs and a top-3 organic position on their hero category, so a migration that lost rankings would cost more than the platform ever saved.
~$7M/yr, 480 SKUs, US + EU via Shopify Markets · Shopify Plus (Shopify Markets, 3 regions)
Paid social carried 81% of revenue and CAC had climbed 44% in eighteen months. Organic sat at 2,100 sessions a month against category competitors doing ten times that, and the EU storefront duplicated the US catalogue with no hreflang at all. The named constraint: three national retailers own the head terms with link profiles this brand could not match in a year, so the plan had to win on query depth instead of authority.
“Honestly I signed for the SEO and the AI-search piece was a footnote in the proposal I skimmed. Then in March our product pages started getting quoted in ChatGPT answers for insulated growler queries, and that traffic showed up in GA4 with real purchase intent attached to it. Organic revenue is up 58% year over year and roughly a fifth of that comes from surfaces that didn't exist when we signed the contract. I still don't fully understand it. I've stopped questioning it.”
Thirty minutes with the strategist who would actually run your account. We screen-share your store, read your data live, and tell you the three highest-value things we can see from the outside.
Prefer to write it out? [email protected] gets a real reply the same business day, Mon-Fri, 9am-6pm MT.