Marketing & Growth

How to launch programmatic seo pages as DTC Brand Founders

Marketing & GrowthFor DTC Brand Founders2 apps11 steps~22 min to set up

You're trying to run programmatic SEO for your DTC brand the same way you run everything else — manually, in a Google Sheet, with a Notion doc that hasn't been updated since Q3. You've got a Shopify product catalog with 200+ SKUs, a blog that hasn't been touched in months, and a vague sense that your competitors are ranking for long-tail keywords you should own. Building landing pages at scale means wrangling keyword lists, writing product-specific copy, publishing to your CMS, and tracking what actually ranks — across channels where none of the data talks to each other. You don't have an SEO agency. You have fifteen minutes between ad creative reviews.

Build this on Starch → See the apps used

Marketing & GrowthFor DTC Brand Founders2 apps11 steps~22 min to set up

Outcome

What you'll set up

A Starch app that pulls your Shopify product catalog and generates draft programmatic landing pages for your highest-intent keyword clusters — no agency, no freelance writer on retainer

An automated weekly digest showing which pages are gaining organic traction, which search terms are converting, and where to focus your next publishing sprint

A knowledge base that stores your brand voice guidelines, product descriptions, and SEO templates so every generated page sounds like you wrote it

The Starch recipe

Apps, data, and prompts

The combination of Starch apps, the data sources they pull from, and the prompts you use to drive them.

Apps used

Growth Analyst Knowledge Management

Data sources & config

Shopify is connected from Starch's integration catalog (agent queries it live when the page-generation automation runs). PostHog is connected from Starch's integration catalog for live traffic and conversion queries powering the Growth Analyst digest. Google Sheets is connected from Starch's integration catalog for publishing and tracking draft pages. Notion is synced on a schedule and powers the Knowledge Management app — your brand voice docs, SEO templates, and product descriptions live there and are referenced automatically whenever the automation generates copy.

Prompts to copy

Connect my Shopify store from the integration catalog. Every Monday, pull my full product catalog, identify the 10 product types with the lowest organic traffic, generate 5 long-tail landing page drafts for each using my brand voice doc in my knowledge base, and save them to a Google Sheet with suggested URL slugs, meta titles, and meta descriptions.

Every Friday morning, email me a digest showing which programmatic pages I published this month are getting the most clicks, how organic sessions have changed week over week by landing page cluster, and which three pages I should update or expand based on engagement data from PostHog.

Store my brand voice guide, product category descriptions, and SEO page template in my knowledge base. When any team member or automation asks how to describe our core product lines, pull the answer from there — not from whoever happens to be online.

Run these in Starch → or paste them into your favorite agent

Walkthrough

Step-by-step

1 Connect Shopify from Starch's integration catalog. The agent will query your product catalog live each time the automation runs — no manual CSV exports needed.

2 Connect Notion. Starch syncs your Notion pages on a schedule, so your brand voice guide, product description library, and SEO page templates are always available as grounding context for any automation.

3 Install the Knowledge Management starter app and paste in your brand voice guidelines, core product category descriptions, and any existing SEO templates. Tag each doc so the automation can find the right one by product type.

4 Connect PostHog from Starch's integration catalog. This powers the Growth Analyst's weekly digest — organic session counts, landing page conversion rates, and referral sources all get pulled live when the report runs.

5 Connect Google Sheets from Starch's integration catalog. This is where generated page drafts land — slug, meta title, meta description, H1, and body copy draft in one row per page, ready to review before publishing.

6 Tell Starch: 'Every Monday at 8am, pull my Shopify product catalog, group products by category, find the categories with fewer than 200 organic sessions last month according to PostHog, generate 5 long-tail landing page drafts for each low-traffic category using the brand voice doc in my knowledge base, and append the drafts to my SEO pipeline sheet.' Starch builds and schedules this automation.

7 Install the Growth Analyst starter app. Configure it to send you a weekly Friday digest covering: organic sessions by landing page cluster, week-over-week traffic changes, conversion rate by entry page, and top referrers. Add a prompt to include three specific pages to update or expand based on bounce rate and time-on-page.

8 Review the Monday draft sheet each week. Approve, edit, or reject rows. When a page is approved, tell Starch: 'When I mark a row in column F as Approved, post the draft as a new page in my Shopify store blog with the suggested URL slug and meta fields.' This closes the loop from generation to publish without leaving a spreadsheet.

9 After your first four weeks of publishing, ask Starch: 'Compare the organic sessions for landing pages I published in the last 30 days against my site average. Which product categories are getting traction fastest? Which pages have the highest click-through rate from search?' Use this to prioritize the next month's keyword clusters.

10 Build a secondary automation for competitive research: 'Every two weeks, go to the top 5 Shopify apps that compete with my category and scrape the landing page titles and meta descriptions from their blog and collection pages. Save them to a Google Sheet.' Starch automates this through your browser — no API needed.

11 As your team grows, use the Knowledge Management app to onboard anyone touching SEO. New contractors or a part-time content writer can search for brand guidelines, find approved product claims, and understand what's already been published — without pinging you.

See this running on Starch

Connect your tools, describe what you want, and the agent builds it. Closed beta is free.

Try it on Starch →

Worked example

March 2026 pSEO sprint — skincare DTC brand, 180 SKUs

Sample numbers from a real run

Programmatic pages drafted by automation	47
Pages approved and published (first sprint)	31
New organic sessions in 30 days post-publish	4,200
Average CAC on organic landing page entries vs. paid	38
Founder hours spent on SEO content that month	3

A skincare DTC founder with 180 SKUs and zero SEO staff ran her first pSEO sprint using Starch in March 2026. She connected Shopify and PostHog from Starch's integration catalog, dropped her brand voice guidelines and product category descriptions into the Knowledge Management app (synced from her existing Notion workspace), and wrote a single prompt telling Starch to generate landing page drafts for her lowest-traffic product categories every Monday morning. In the first week, the automation produced 47 draft pages across 9 product clusters — fragrance-free moisturizers, travel-size SPF, and night creams for sensitive skin among them. She approved 31 after a 45-minute review, published them to Shopify's blog, and let them sit. By the end of the month, those 31 pages had pulled in 4,200 new organic sessions. The Growth Analyst weekly digest flagged that 'fragrance-free moisturizer for rosacea' was converting at 3.8% — more than double her paid traffic average — and suggested three follow-on page clusters to expand. Her blended CAC on organic-entry customers came in at $38 versus $91 on Meta. She spent roughly 3 hours on SEO that entire month.

Measurement

How you'll know it's working

Organic sessions by landing page cluster (weekly, from PostHog)

Customer acquisition cost — organic landing page entries vs. paid channel

Landing page conversion rate by product category

Number of programmatic pages published per sprint vs. approved-to-publish ratio

Returning organic visitors to pSEO pages (signal for content quality, not just ranking)

Comparison

What this replaces

The other ways teams handle this today, and how the Starch version compares.

Jasper + Ahrefs + Webflow CMS (manual workflow)

Jasper writes copy but doesn't know your Shopify catalog or PostHog data, so you're copying and pasting context manually into every generation job — the 'automation' is still you.

SEMrush Content Marketing Platform

Strong keyword research tooling, but it doesn't connect to your Shopify store, PostHog, or Notion — you're still manually moving data between tools and writing page copy by hand.

Hired SEO agency ($3k–$8k/month)

Agencies bring strategy experience but work in monthly cycles, don't have live access to your actual conversion data, and charge for every content deliverable — Starch lets you run continuous sprints without the retainer.

Surfer SEO + Google Sheets (DIY stack)

Surfer optimizes content you already have, but it doesn't generate drafts from your product catalog, doesn't pull your PostHog conversion data, and requires a human to manage the sheet-to-CMS publishing step.

On Starch RECOMMENDED

One platform — growth analyst, knowledge management all running on connected data. Setup in plain English; numbers stay current via scheduled syncs and live agent queries.

Try it on Starch →

FAQ

Frequently asked questions

Does Starch actually connect to Shopify, or is this just a Shopify CSV import?

Shopify is available from Starch's integration catalog — the agent queries it live when your automation runs. That means your product catalog, titles, descriptions, and category structure are pulled fresh each time, not from a stale export you uploaded two months ago.

Will the generated landing pages sound like my brand, or like generic AI slop?

That depends on what you put in your Knowledge Management app. If you've uploaded a real brand voice guide, approved product claims, and examples of copy you like, Starch references those documents every time it generates a page. The output is only as specific as the grounding you give it. Most founders spend 30 minutes the first time setting this up and find the drafts need light editing rather than rewrites.

I use PostHog for product analytics but not really for SEO tracking. Does this still work?

PostHog is the data source the Growth Analyst connects to for traffic and conversion data. If your Shopify store has PostHog installed and tracking page views and purchase events, the weekly digest will show you which landing pages are driving sessions and converting. If you don't have PostHog, you'd need to install it — it takes about 20 minutes and has a generous free tier.

What about publishing directly to Shopify — does Starch push pages live, or do I still have to do that manually?

Starch can write an automation that publishes approved drafts as blog posts or pages in your Shopify store through Shopify's API via the integration catalog. Most founders start with a human approval step in a Google Sheet (mark a row 'Approved' and the automation publishes it) rather than fully automatic publishing — but the choice is yours when you describe the workflow.

Is Starch SOC 2 certified? I'd be connecting my Shopify and PostHog accounts.

Starch is not SOC 2 Type II certified as of today. If that's a hard requirement for your brand — especially if you're handling sensitive customer data — it's worth knowing upfront. Starch is on the roadmap toward compliance, but we won't claim a certification we don't have.

My competitors don't have an API. Can Starch still help me track what they're publishing?

Yes. Starch automates any website through your browser — no API needed. You can tell Starch: 'Every two weeks, go to these five competitor URLs, collect all the landing page titles and meta descriptions, and save them to a Google Sheet.' Starch uses browser automation to do this exactly the way a human would — navigating, reading, and saving — even if the site has no API at all.

My Notion workspace is a mess. Will Knowledge Management still work?

Starch syncs your Notion pages on a schedule and the Knowledge Management app lets you search across all of them with AI. You don't need a perfectly organized workspace — but you do need the pages you want referenced (brand voice, product descriptions, SEO templates) to actually exist in Notion. If they're in Google Docs instead, you can connect Google Drive from Starch's integration catalog and the agent can query those files live.