Marketing & Growth

How to build an seo content engine as Educators, Coaches, and Course Creators

Marketing & GrowthFor Educators, Coaches, and Course Creators3 apps12 steps~24 min to set up

You're a solo coach or two-person course team trying to do SEO while also running a live cohort. You publish a blog post every few weeks when inspiration strikes, but you have no idea which posts are actually bringing in signups. Your ConvertKit tags show 'blog subscriber' but not which post converted them. You're guessing at keywords by opening a dozen browser tabs, writing in Google Docs, and hoping something lands. PostHog or Google Analytics data sits in a tab you forget to check. You rebuild the same content calendar in Notion every launch cycle from scratch. You have no writer, no SEO analyst, and no time to become one.

Build this on Starch → See the apps used

Marketing & GrowthFor Educators, Coaches, and Course Creators3 apps12 steps~24 min to set up

Outcome

What you'll set up

A weekly Growth Analyst digest that tells you which blog posts, landing pages, and referral sources are driving course signups — delivered to your inbox every Monday before you start writing

A Notion-backed content tracking system that logs every published post, maps it to student acquisition data, and flags when older posts need updating — so your content library compounds instead of decays

An automated content production pipeline where Starch researches keyword gaps, drafts outlines, and queues publishing tasks in your project board — cutting your post-from-idea-to-published time by more than half

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 Project Management

Data sources & config

Starch syncs your PostHog data on a schedule and connects directly to Gmail to deliver weekly Growth Analyst digests. Starch syncs your Notion workspace on a schedule so the knowledge base stays current with your published content library. ConvertKit and your course platform (Kajabi, Teachable, or Thinkific) are connected from Starch's integration catalog; the agent queries them live when building your signup attribution reports. Google Analytics is connected from Starch's integration catalog for live traffic queries. The Project Management board lives inside Starch with no additional connections needed.

Prompts to copy

Connect my PostHog workspace and my Gmail. Every Monday at 7am, send me a Growth Analyst digest that shows: (1) which blog posts drove the most trial signups last week, (2) which referral sources are growing or shrinking, (3) which ConvertKit opt-in pages converted best, and (4) three specific content topics I should write about next based on what's working.

Build me a content knowledge base in Notion. Every time I publish a new post, create a page with the title, target keyword, publish date, and a field to track monthly organic sessions. Set a staleness flag that fires if a post hasn't been updated in 90 days and the topic is still in my active curriculum.

Create a content production board with these stages: Keyword Research → Outline → Draft → Edit → Scheduled → Live. When I say 'add post idea: [topic]', create a card at the Keyword Research stage, assign it to me, and ask me for a target publish date.

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

Walkthrough

Step-by-step

1 Connect PostHog and Gmail from Starch's setup flow. Starch syncs PostHog data on a schedule and uses Gmail to deliver your weekly digest — no separate email tool needed for the report itself.

2 Install the Growth Analyst starter app from the Starch App Store. Fork it and add a custom rule: 'include a section on which blog posts drove ConvertKit opt-ins, broken out by post URL and traffic source.'

3 Connect your ConvertKit account from Starch's integration catalog. Tell Starch to query your ConvertKit subscriber tags live when the Growth Analyst runs each Monday so it can match new subscribers to the blog post that referred them.

4 Install the Knowledge Management app and connect your Notion workspace. Starch syncs your Notion pages on a schedule, so your content library is always reflected in the knowledge base.

5 Describe your content tracking schema to Starch: 'In Notion, I have a database called Content Library. Every post entry needs: title, target keyword, publish date, monthly organic sessions, and a flag for whether the topic appears in my active course curriculum.' Starch builds the structured view.

6 Set a staleness automation: 'Every Sunday, check my Notion Content Library. If a post is older than 90 days and its topic appears in Lesson 3, 4, or 5 of my current curriculum, Slack me with the post title and a suggested update task.' Starch runs this weekly through browser automation on your Notion workspace.

7 Install the Project Management app and describe your content pipeline stages: Keyword Research, Outline, Draft, Edit, Scheduled, Live. Tell Starch to accept voice-style commands like 'add post idea: how to price a cohort course' and auto-create the card.

8 Connect Google Analytics from Starch's integration catalog. Add a monthly prompt to your Growth Analyst: 'Pull GA4 data for my top 10 organic landing pages and show me which ones have declining click-through rates — those are my refresh priorities.'

9 Build a keyword gap finder: 'Search the web for the top 5 posts ranking for the keyword [term]. List the subheadings they cover that my existing posts do not. Format as a gap report I can paste into my outline doc.' Starch automates this through your browser — no SEO tool subscription needed.

10 Add a launch-cycle content checklist to Project Management: 'Two weeks before every cohort open cart, create a task board with: update bottom-of-funnel blog posts, check opt-in page copy, run a Growth Analyst one-off report, and schedule three nurture emails.' Starch creates this board on a recurring Calendly-linked trigger when your next enrollment window opens.

11 Each Monday morning, read your Growth Analyst digest. Reply to it with 'create a draft task for this week's top post idea' — Starch creates the Project Management card and links it to the keyword the digest surfaced.

12 Once a quarter, run a full content audit prompt: 'List all Notion Content Library posts published more than 6 months ago. For each one, pull its current monthly organic sessions from GA4 and flag any with sessions under 50 as low-performers. Give me a prioritized list of what to rewrite vs. what to redirect.'

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

April 2026 cohort launch — content engine in action

Sample numbers from a real run

Blog posts tracked in Notion Content Library	34
Posts flagged stale (>90 days, curriculum-relevant)	7
New organic signups attributed in Growth Analyst digest (past 4 weeks)	61
Top converting post: 'How to price a 6-week group coaching program'	24
Hours saved vs. manual GA4 + Notion audit	6

It's the Monday before open cart for your April cohort. Your Growth Analyst digest lands at 7am and tells you one thing you didn't know: your post 'How to price a 6-week group coaching program' drove 24 of the 61 organic signups in the past four weeks — more than your homepage. It also flags that your second-best post, 'What's the difference between a course and a coaching container,' hasn't been updated in 112 days and is sitting at 38 monthly sessions, down from 90 in January. Starch already created a Project Management card: 'Refresh post: course vs. coaching container — due before open cart.' Your Notion Content Library shows 7 posts flagged stale that touch curriculum topics you actively teach. You spend 45 minutes updating two of them with fresh examples from your most recent cohort, not six hours doing a manual audit across three tools. The keyword gap report Starch ran through browser automation earlier in the week shows that three competing coaches rank for 'group coaching program curriculum template' — a term none of your posts target. That becomes next week's draft card, created from a single prompt.

Measurement

How you'll know it's working

Organic signups per blog post per month (which posts are actually driving enrollments, not just traffic)

Content library freshness rate: % of curriculum-relevant posts updated in the last 90 days

Time from post idea to published draft (target: under 5 hours including outline and keyword research)

Weekly referral source trend: is organic search growing, flat, or declining relative to your email list and social channels

Cohort open-cart conversion rate from organic blog visitors vs. email subscribers

Comparison

What this replaces

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

Ahrefs or Semrush

Best-in-class keyword data, but $99–$199/month, steep learning curve, and neither one connects to your PostHog signups or Notion content library — you still do the attribution work manually.

Notion + Google Analytics + a spreadsheet

Free and flexible, but nothing talks to anything else — you spend an hour every week copying numbers between tabs, and the audit never actually happens because it's tedious.

ConvertKit's built-in landing page analytics

Shows you opt-in rates per form, but doesn't tell you which blog post sent traffic to that form or how those subscribers convert to paid students.

Hiring a freelance SEO consultant

You get expertise, but at $500–$2,000/month for someone part-time, and they don't have context on your course curriculum, student questions, or which topics your best cohorts actually Googled before buying.

On Starch RECOMMENDED

One platform — growth analyst, knowledge management, project 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

I use Kajabi, not PostHog. Can Starch still tell me which blog posts are driving enrollments?

Yes. Connect Kajabi from Starch's integration catalog; the agent queries it live when building your attribution reports. PostHog is what the Growth Analyst starter app uses by default, but you can describe the custom version you want: 'Use Kajabi as my signup source instead of PostHog and pull Google Analytics for traffic data.' Starch builds that version.

Will this work for a Substack or a plain WordPress blog, not a course platform?

If your blog is on WordPress, Squarespace, or any web-based CMS, Starch can automate it through your browser — no API needed. For Substack, Starch can read your publication through browser automation and log post data into your Notion Content Library. Google Analytics or PostHog handles the traffic side regardless of where you publish.

Starch isn't SOC 2 certified — is that a problem for my student data?

Honest answer: Starch is not SOC 2 Type II certified yet. For a solo coach or small team building an SEO content engine, the data flowing through is mostly your own content performance metrics — blog traffic, keyword gaps, publish dates. You're not running student PII through this workflow. If you ever build student-facing workflows (completion tracking, personalized drip), check Starch's current compliance status before connecting anything that holds student records.

How does the weekly Growth Analyst digest know which blog post drove a specific ConvertKit signup?

Starch queries ConvertKit live from its integration catalog and cross-references subscriber tags and source fields with your PostHog or GA4 event data. This only works as well as your UTM tagging — if your blog posts don't have UTM parameters on their opt-in links, attribution will be partial. Starch can help you build a UTM tagging template so future posts are properly tracked.

I don't want to write code or set up complex automations. How much setup is this really?

You describe what you want in plain language and Starch builds it. There's no drag-and-drop flow builder, no API configuration, no code. A prompt like 'every Monday, email me which three blog posts drove the most signups last week, and flag any curriculum-relevant posts I haven't updated in 90 days' is the entire setup instruction. The heaviest lift is connecting your accounts on day one, which takes about 20 minutes.

What if I want to track YouTube or podcast content, not just blog posts?

YouTube data is reachable from Starch's integration catalog. Podcast performance from platforms like Spotify for Podcasters or Buzzsprout can be automated through your browser — no API needed. Tell Starch what you want to track and it will build the surface that pulls from whichever content channels you actually use.