Technical SEO Remediation
Canonical strategy for /products/ versus /collections/products/, robots.txt.liquid rules, parameter handling, pagination, sitemap hygiene and crawl-budget recovery.
Your Austin customers may be local; your search competition is not, and it is already inside the AI answer.
Delivered remotely for brands across Austin and Texas.
An Austin brand's SEO problem is almost never local intent. Nobody searches 'electrolyte powder near me'. They search the category, the ingredient, the claim or the comparison — and the results are a marketplace listing, an affiliate roundup and, increasingly, a summarised answer that names three brands and stops. Whether you are one of the three is now a real revenue question.
That makes the work here ingredient-led rather than location-led. Collection pages built around how buyers of functional food and supplements actually narrow: by ingredient, by claim, by format, by dietary restriction, by use case. Product schema with live price and availability so your listings stay valid as flavours sell through. And a comparison and buying-guide layer written to be extractable, because a page that answers a question cleanly is the page an answer engine quotes.
There is also the platform tax. Shopify serves products at two URLs by default, faceted flavour and size filters spawn thousands of near-identical crawlable pages, and collection templates ship with no copy at all. None of that is your fault and all of it is spending crawl budget you need elsewhere.
The natural-products supply chain that grew up here after Whole Foods started in Austin is the same reason your category is brutally crowded: the co-packers, formulators and brokers that made it cheap for you to launch made it cheap for everyone else too. So the differentiating search asset is almost never the brand term — it is depth on ingredient, sourcing, format and claim, the exact material an AI answer engine needs to cite somebody. Austin brands also carry an unusual asset most agencies waste: genuine founder and formulator expertise, plus a documented sourcing story. That is first-hand experience content, which is precisely what post-2026 quality guidance rewards and what a national competitor with a white-label formula cannot manufacture.
The same standard of work we run for every client — applied to a Austin 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 Austin 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.