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San Francisco, CA

eCommerce SEO & GEO in San Francisco, CA

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.

Grow · San Francisco

Why San Francisco brands come to us for this

  • Non-brand demand isolated and reported separately, so growth is not just your own name
  • Collection architecture built around refill, cadence and compatibility queries buyers actually type
  • Varietal, region and occasion structure for Napa and Sonoma-facing wine catalogues
  • Brand entity work for names that collide with a tech company in the same results
  • Product schema and retrievable fact content built for citation in AI answer engines

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.

Brand split outreporting separates branded from non-brand so real progress is visible
Schema liveProduct, Offer and review markup with accurate price and availability
Log-verifiedcrawl budget and indexation checked against server logs, not assumptions
Local context

Generative engines matter earlier with a Bay Area customer base

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.

Scope

What eCommerce SEO includes

The same standard of work we run for every client — applied to a San Francisco brand’s realities.

Full service detail
01

Technical SEO Remediation

Canonical strategy for /products/ versus /collections/products/, robots.txt.liquid rules, parameter handling, pagination, sitemap hygiene and crawl-budget recovery.

02

Collection & Category Architecture

A collection map built from real search demand, including sub-collections for attributes buyers search on: size, material, use case, price band, occasion.

03

Product Page Optimisation

Titles, descriptions, image alts, Product and Offer schema with live price and availability, plus review markup that stays valid as inventory changes.

04

Commercial Content Programme

Buying guides, comparisons and category explainers targeting mid-funnel demand, each linked into the collections they support. No filler blogging.

05

Generative Engine Optimisation

Entity and schema work, clean extractable answers, llms.txt and citation-worthy content so ChatGPT, Perplexity and AI Overviews reference your store.

06

Digital PR & Link Acquisition

Targeted outreach for editorial links to collection and guide pages from publications your buyers actually read. No directories, no link farms.

Scoped and quoted for your San Francisco store

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 scoped
How it runs

From kickoff to results

01

Technical Audit

A full crawl plus log-file analysis to find what Googlebot actually sees and where crawl budget is being spent. Findings ranked by revenue impact.

02

Demand Mapping

Keyword research mapped to your catalogue and margin, not to search volume alone. High-volume terms you cannot profitably serve get cut.

03

Fix the Foundation

Technical remediation ships first. There is no point building content on a site that wastes half its crawl budget on filter URLs.

04

Build & Publish

Collection landing pages and commercial content shipped on a fixed monthly cadence, each with internal links planned before it goes live.

05

Measure & Iterate

Monthly reporting on non-branded organic revenue, index coverage and AI citations. Branded queries are excluded from every growth number we show you.

Proof

eCommerce SEO results

Anonymised under NDA. Figures pulled from the client’s own analytics.

Premium Skincare (DTC)

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.

+41%mobile conversion rate1.62% to 2.28% over the first 90 days post-launch
5.4s → 1.8smobile LCP75th-percentile CrUX field data, not lab
+27%organic sessionssix months post-migration vs. pre-migration baseline, branded queries excluded
$108k/yrplatform cost removedhosting, extension licences and the standing emergency dev retainer
Engagement Replatform + CRO retainerTimeframe 7 months (4-month migration, 3-month optimization)

Outdoor & Sports Gear

~$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.

+186%organic sessions2,100 to 6,000/mo, branded queries excluded
+21%conversion rate on organic traffic1.9% to 2.3% after the collection and PDP work landed
$61 → $45blended CACorganic share of revenue went from 8% to 24%
+38%revenue year over yearwith paid media spend down 12%
Engagement SEO + GEO program with a CRO workstreamTimeframe 12 months
In their words

Clients on this work

+58% organic revenue YoY

“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.”

Director of MarketingOutdoor gear brand, ~$15M/yr · Seattle, WA
Verified client, 2026
FAQ

eCommerce SEO in San Francisco — your questions

Usually, and it is entity work rather than keyword work. We make your structured data, profiles and citations consistent enough that search engines can distinguish two entities sharing a string, build out brand-plus-category pages that satisfy the shopping intent specifically, and pursue an accurate knowledge panel. It rarely displaces genuine news coverage, but it reliably gets your store above the job boards and funding aggregators.

Around the questions people ask between purchases. Beyond product-type collections, build for replacement interval, compatibility with the device or base product, size and household, and problem-led entry points. Those pages capture people mid-decision rather than mid-browse, and because they carry buying functionality rather than just prose, they convert at a rate blog content does not approach.

It works, and the shipping restriction has to be visible early or you buy traffic you cannot serve. We surface eligible destinations on collection and product pages rather than at checkout, structure content around varietal, region, occasion and gifting where the demand actually sits, and plan for the sharp seasonal peaks around holiday shipping and allocation releases. The compliance ruleset itself stays with your counsel.

By tracking a defined set of category questions across the major assistants on a schedule, recording whether you are cited, what source the citation came from, and whether the facts quoted are correct. That last part matters most — the common failure is being cited with an outdated price, a discontinued variant or a wrong spec, which is a data problem on your own site rather than a ranking problem.

Technical fixes can move impressions inside four to six weeks. New collection pages and content typically need three to six months to rank on commercial terms. Nine months is a fair window to judge the programme on revenue. Anyone quoting thirty days is describing a fluke, not a plan.

Always. Branded queries grow when your paid media grows, so including them inflates SEO numbers for work SEO did not do. Every growth figure we report to you is non-branded, and we show the branded split separately so you can see both.

Generative engine optimisation is making your store citable by AI answer engines. It matters now for research-heavy categories where buyers ask an assistant before they search. The work overlaps heavily with good technical SEO: clean entities, correct schema, extractable answers and content worth citing.
Next step

eCommerce SEO for your San Francisco brand.

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.

Shopify or Shopify Plus stores doing $150k/mo or moreFounder, CEO or eCommerce lead on the callNo deck and no pitch — we open your store instead

Prefer to write it out? [email protected] gets a real reply the same business day, Mon-Fri, 9am-6pm MT.