Modern Creator
Kev Builds Apps · YouTube

I Built a Self-Improving SEO Agent With Claude Code

A looping Claude Code harness that writes blog posts to win AI search and rewrites your checkout page based on what the data says is converting.

Posted
4 days ago
Duration
Format
Tutorial
educational
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12.9K
152 likes
Big Idea

The argument in one line.

SEO in the AI era is a closed loop, not a checklist: an agent that reads your analytics and rewrites both your blog content and your checkout page based on what the data shows beats one that just publishes posts and hopes.

Who This Is For

Read if. Skip if.

READ IF YOU ARE…
  • You run a SaaS, app, or agentic product and want organic traffic without hiring an SEO specialist.
  • You already use (or are willing to connect) Google Search Console, PostHog, and a WordPress-backed blog.
  • You're comfortable letting an AI agent auto-publish content without a human in the loop.
  • You want a concrete, repeatable pipeline rather than a list of SEO tips.
SKIP IF…
  • Your business is purely local (the video says you only need the local-SEO pillar, not this whole engine).
  • You're not willing to connect analytics/search-console APIs to an autonomous agent.
  • You want a from-scratch build walkthrough — this is a results-and-architecture recap, not a step-by-step setup guide.
TL;DR

The full version, fast.

The creator rebuilt his SEO approach around a single autonomous loop: Claude Code reads Google Search Console and PostHog data, scores topic ideas from four feeds (viral news, product releases, keyword gaps, and the engine's own learning), then plans, drafts, fact-checks and auto-publishes blog posts through a WordPress API, while also converting that content into sitemaps, llms.txt and FAQ schema so AI engines like ChatGPT, Gemini and Perplexity can cite it. PostHog session replays and funnel data tell the agent which blog posts and which checkout-page changes actually convert, and it reweights itself daily. In 30 days, signups went from 1-2 to 8-10 a day and unique visitors rose 15-20x, with one blog post alone driving dozens of new visitors and Google referrals jumping from 4 to 34 in a day.

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Chapters

Where the time goes.

00:00 – 00:58

01 · My app was ranking terribly

Cold open: an SEO check on his repackaged consumer app came back bad, which kicked off a month-long build.

00:58 – 02:38

02 · What this SEO agent actually does

States the pitch: an agent that studies visitor behavior and keyword rankings, writes viral blogs that funnel traffic in, and improves checkout conversion on the back end.

02:38 – 06:21

03 · The nine pillars of SEO

Runs through technical SEO, on-page SEO, content strategy and E-E-A-T, off-page SEO, local SEO/NAP, platform-specific SEO (YouTube, app store, e-commerce), and AI search optimization (GEO/AEO), then explains most businesses only need two or three pillars.

06:21 – 09:04

04 · Tool 1 and Tool 2: Search Console and PostHog

Introduces the Google Search Console API for keyword demand data, then PostHog for daily visitors/signups, traffic sources, session replay, and page-landing tracking.

09:04 – 10:40

05 · Tool 3: WordPress blog writing and AI-readable content

Explains using the WordPress API purely as a blog backend, then converting posts into sitemaps, llms.txt files, and FAQ schema so AI agents can read and cite them.

10:40 – 12:59

06 · How the self-improving loop works

Walks through the four topic feeds (viral news, product releases, keyword gaps, the engine's own learning), the plan-draft-fact check-publish pipeline, and the daily metrics-driven reweighting step.

12:59 – 16:33

07 · Real results: 10x signups, Google traffic, session replay

Shows live PostHog dashboards: signups up roughly 10x, unique visitors up 15-20x, one blog post driving 47 visitors on its own, Google referrals jumping from 4 to 34 in a day, and using session replay to spot warm leads.

16:33 – 18:02

08 · Recap and outro

Summarizes the three-API setup (PostHog, Search Console, Creator OS) and closes with a reminder to decide your own automation cadence.

Atomic Insights

Lines worth screenshotting.

  • SEO in the AI era has nine pillars, but most businesses only need two or three of them to see results.
  • A local business only needs the local-SEO pillar; a SaaS company mainly needs content strategy and off-page SEO.
  • The E-E-A-T formula (experience, expertise, authoritativeness, trust) is what lets a blog post build credibility with both readers and AI crawlers.
  • Sitemaps and robots.txt-style files are how AI agents crawl a site, separately from how they crawl for humans.
  • Getting cited in Google AI Overviews, ChatGPT, Gemini, and Perplexity (GEO/AEO) requires clear, extractable, structured answers, not just keyword-optimized prose.
  • Session replay lets an agent watch exactly how a visitor moved through a site, including where they hesitated before checkout.
  • Daily unique visitors and signups are tracked separately from source attribution, so an agent can learn which specific blog post or channel drove a conversion.
  • WordPress can be used purely as a blog-publishing backend without the business ever being hosted on WordPress itself.
  • A single blog post, once indexed, can keep compounding traffic on its own; one post in this case generated 47 visitors by itself.
  • The same closed loop that improves top-of-funnel content (blog posts) can also be pointed at bottom-of-funnel pages (checkout) to raise conversion rate.
  • Four topic feeds (viral/news, product releases, keyword-gap research, and the engine's own reinforcement-learning queue) keep the agent from running out of ideas.
  • Every blog post goes through plan, draft, and fact-check stages before it is allowed to auto-publish without human review.
  • Daily or weekly metric checks feed a reweighting step that changes what kind of content the agent writes next.
  • Google referral traffic grew from 4 visitors in the prior month to 34 in a single day once the blog engine had posts live.
Takeaway

SEO now runs as a loop, not a checklist.

WHAT TO LEARN

Connecting analytics to content production turns SEO from a one-time publishing task into a system that tells you what's working and rewrites itself around it.

01My app was ranking terribly
  • An SEO check that comes back bad is a useful trigger to rebuild the whole system, not just optimize individual pages.
02What this SEO agent actually does
  • A useful SEO engine should work on both ends of the funnel: driving new visitors in and improving conversion on the site itself.
03The nine pillars of SEO
  • Most businesses only need two or three of the nine SEO pillars; map which ones actually apply before building anything.
  • A local business typically only needs local SEO and NAP consistency, not a full content engine.
  • A SaaS or agentic product mainly needs content strategy and off-page SEO, not app-store or e-commerce optimization.
  • The E-E-A-T formula works best when the actual founder or practitioner writes from firsthand experience.
04Tool 1 and Tool 2: Search Console and PostHog
  • Google Search Console data on keyword demand should drive what topics get written about, not guesswork.
  • Web analytics should track both raw visitor counts and the conversion funnel from visit to signup, not just traffic volume.
  • Session replay lets you see exactly where a visitor hesitates, which is more diagnostic than funnel percentages alone.
05Tool 3: WordPress blog writing and AI-readable content
  • Treat your blog as two jobs at once: writing for human readers and reshaping that same content for AI crawlers.
  • Technical crawlability for AI agents is a separate concern from crawlability for humans, and needs its own sitemap and file structure.
06How the self-improving loop works
  • Every piece of AI-generated content benefits from an explicit plan, draft, and fact-check stage before it publishes unsupervised.
  • Daily or weekly performance checks should feed back into what topics get prioritized next, closing the loop instead of publishing blind.
07Real results: 10x signups, Google traffic, session replay
  • A single well-targeted blog post can keep compounding traffic long after it's published, so quality on fewer posts can outperform volume.
  • Rising referral traffic from a specific source (like Google) is a clean signal that the content strategy is working, independent of total traffic.
08Recap and outro
  • Three connected APIs (analytics, search console, and a publishing backend) are enough infrastructure to run this whole loop.
Glossary

Terms worth knowing.

GEO (Generative Engine Optimization)
Optimizing content to be cited and surfaced inside AI answer engines like ChatGPT, Gemini, and Perplexity, rather than just ranking in traditional search results.
AEO (Answer Engine Optimization)
Structuring content with clear, extractable answers (e.g. FAQ schema) so AI systems can quote it directly when responding to a user's question.
E-E-A-T
Google's content-quality framework: Experience, Expertise, Authoritativeness, and Trust, used to judge whether a page deserves to rank.
NAP consistency
Keeping a business's Name, Address, and Phone number identical across every directory and listing, a core requirement of local SEO.
llms.txt
A text file format that tells AI agents and crawlers how to read and reference a website's content, similar in spirit to robots.txt but aimed at AI systems.
Session replay
A PostHog feature that records and plays back an actual visitor's on-site behavior, including clicks and scrolling, so you can see exactly how they used the page.
Sitemap
An XML file listing a website's pages so search engines and AI crawlers can discover and index them efficiently.
Resources

Things they pointed at.

Quotables

Lines you could clip.

00:16
“We're about to build the best SEO agent Claude has ever seen.”
clean ego-driven hook line→ TikTok hook↗ Tweet quote
14:05
“Yesterday, for example, we got 192 unique visitors compared to the month before that we got nine unique visitors.”
concrete before/after number→ IG reel cold open↗ Tweet quote
15:46
“We only got four unique visitors from there. Whereas yesterday, we got 34 already.”
specific Google-referral jump, easy to overlay as a stat card→ newsletter pull-quote↗ Tweet quote
19:41
“This agent could then route it to like a sales sniper... to that specific hot lead.”
vivid framing of session-replay-driven lead routing→ TikTok hook↗ Tweet quote
The Script

Word for word.

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So I repackaged one of my B2B apps recently as a consumer application. And after running it for the first couple of weeks, I had someone's SEO agent check how my app was actually performing on different search engines. And we were performing absolutely terribly.
And so the ego in me was like, all right. We're about to build the best SEO agent Claude has ever seen. Ever since then, I went down a rabbit hole trying to build an SEO engine that can be self -improving, that helps me generate leads from these different search engines autonomously.
And today I'm really happy to announce that I've finally built an engine that is literally gaining me traction day in, day out. And today I'm going to explain to you guys the Claude Code SEO harness that I've been running for the past month that is absolutely crushing. the visitors on my site and self -improving at the same time.
By no means am I an SEO specialist. I am a marketing and AI specialist. I take everything I say in this video with a grain of salt, but I do have some pretty awesome numbers to show you.
Before that, in this video, you're going to learn how Cloud Code can self -improve to literally increase the visitors and traffic onto your business by studying how your visitors are actually clicking around on your website, studying the ranking keywords in your niche. and how the biggest search engines actually rank for your business.
And then it's going to use that information to write viral blogs that then rank on Google, then funnel new users across the world to your website. It'll also then understand the website traffic and self -improve the website to increase the checkout rate and conversions to generate you more sales. So we have the top of funnel blog generation to get the people onto the website.
And we have the bottom of funnel conversion to actually increase sales. And that's all packaged into the agent. that I'm showing you today.
In this way, we are actually building a fully agentic SEO engine that is helping us improve our businesses ranking. So in today's Claude Code SEO Harness Masterclass, we're going to go through four chapters. I'm going to talk about the nine pillars of SEO because with the AI era, there's actually new categories of SEO and search engine optimization because you guys will see how we're actually also ranking on ChaiGBT and Gemini and Claude and stuff like that.
And I'm going to show you guys the four tools that we're using to actually build this entire looping system so that Claude can just run autonomously. And then I'm going to show you guys the working system for my own websites, as well as how you can make the system once you build it actually run autonomously and self improve.
Once I show you guys how to fully build it. So yeah, smash that like button, subscribe to channel if you haven't already. So the first category inside of the nine pillars guys of chapter number one is technical SEO and technical SEO is something that is brand new.
And this is whether or not the stuff that you have on the internet is actually searchable by AI agents. And so how can they actually crawl and index your site? And so the crawlability of agents to find stuff on your website versus humans is actually a little bit different.
The way that they're able to do crawlability is through different TXT files that you need to provide them. that you need to provide them. And so site maps...
are essentially a different way that your website will be laid out for the agents to then read all of your different pages. And so for your blogs and stuff, you want to have all of that built in as well as the mobile friendliness and the site speed and how quickly all of your websites actually load. Then we have on page SEO, which is basically optimizing individual pages, right?
So if I have a brand new feature or a repository that I've released, I want to make sure that I'm filling in with the most keyword targeting the best title tagging. I want to have meta descriptions.
We then have our content strategy. Inside of the content strategy for SEO, there's a EAT formula. And so the EAT formula is you want to basically have experience, your expertise, your authoritativeness, and your trust built into your blogs.
So for our marketing application, I can actually talk about from experience and expertise, how I'm using the application to actually grow on social media. And that should build authoritativeness and trust. with the actual reader.
And so since that's actually happening, and I'm actually the author of that application, we then build a blogging automation to go and write these type of blogs, which we'll talk about a bit later. So the fourth category is off page SEO.
So this is like getting other notable brands and other third party services to actually mention your product. And so a good hack for this is like if you're collaborating with other brands as a influencer, you know, getting them to actually collaborate on your posts is a really cool way for agents to actually see you as a personal brand that has collaborated with this.
massive company really quickly. This is also pretty awesome for stuff like podcast appearances and guest posts and digital PR and stuff like that. You have local SEO and local SEO is basically like building a Google business profile with NAP consistency.
So essentially, you want to make sure that the name Address and phone is the same across all directories. And for you on social media, this actually applies in a very similar way.
We want to make sure that your socials, that your social handle is the exact same across all your platforms, as well as your profile picture. Then we have platform specific SEO. So like YouTube SEO, for example.
So we have titles, descriptions, chapters, thumbnails and click through rates, retention graphs and captions. App store optimization. We have the app name, the subtitle, the app store images, the screenshots and the ratings that the users are giving us.
We have e -commerce SEO, product and category pages, Amazon and Shopify rankings. And then we have AI search optimization. So that's the GEO and AEO that we've been hearing about.
And this is the newest layer. This is getting cited in Google AI overviews and in AI mode when people do Google search or in chat GBT or perplexity or clock. And the way that we can get into.
these type of engines is by allowing these systems to have clear extractable answers in structured data from the websites that we actually own. And this is by writing a blogging system, which I'll show you guys today. So while all those pillars may see overwhelming.
In reality, most businesses only need a few of those pillars to perform really, really well. For example, a local business literally only needs pillar number five, which is the local SEO skillset. That's all you really need to help a local business do well.
Or if you're a SaaS company, that's building a software application or an agentic application. you really just need to worry about number three and number four, but the engine can work for each one of these completely autonomously. And that's why it's really cool with what we built here.
So let's go over the four core tools that you need to actually run the exact engine that I'm about to show you. So the first one is the Google search console API that essentially lets Claude know exactly how many people are searching up certain keywords in different demographics across the world. So for our marketing app, we can see all the marketing keywords in America, in Canada, in North America, in Europe.
And that will help us then write blogs to then rank in those keywords. The biggest rabbit hole in terms of tools is PostHog. And that is because PostHog is essentially the most in -depth and free web analytics platform I've ever seen.
And there's five core kind of analytic data points that really help this engine. And so the first one is just the raw, basic daily visitors and daily signups funnel. So you're going to be able to see your classic, how many visitors you got to your website and how many of them converted down this funnel into signing up and into subscribing.
And so this is the first core metric that we need to be tracking, which is the conversion rate of your website. And then we can start seeing the source. from your marketing campaigns that actually led to these visitors, right?
You're going to see not just what social channels are creating the amounts of traffic, but you're also going to be able to see all of these new blog posts that your agent is actually writing that is funneling new traffic as well. And this is going to help your agent also learn what blog posts are working and it'll triple down on the blog posts to funnel people to.
Third one's wild. It's called session replay. So you can literally see what your users are doing on your website and you actually can record the screen as well.
So you can see them click around the pricing page or play around with a new feature that you released and so can your agent. And so you can review it and find improvements and so can your agent and you can have it running on automations to review different session replays. And the cool thing about session replays is that the fourth cool thing about PostHog is that there's an endpoint that tracks different pages that are landed on.
So you can track how many people landed on the subscribe page, for example, and then you can screen record that page. So then you can actually study what people are doing on the checkout page. And then that'll help you understand how you can increase your checkout percentage or have your agents do this all autonomously.
So then if we connect this SEO agent to your website, wherever your website's hosted on, it'll be able to then rebuild the checkout page to then see if it can find improvements. with conversion rate. Good.
So that's post hog. And that's why post hog so exciting. Now for the blog writing element at creator OS, we integrated the WordPress API.
And the WordPress API is very exciting, because in the way that we integrated it, you actually don't need a WordPress account. So as a developer, I realized that like, we don't want to be hosting our agentic applications on WordPress, because WordPress itself not that robust of a platform compared to something like cursor and railway, but using WordPress as a blog writing platform that is connected to your website.
is absolutely OP. And so inside of creator OS, you can actually just connect your website to WordPress. And then in that way, we can autonomously write blogs to your website, and it'll look really, really nice.
So those blogs will help with the natural Google searching and Bing searching that we've all been accustomed to. But then once the blog is written, the agents can then reword and restructure all of the blog posts. into the formats that the AI agents are also looking for.
And so the formats that the agents are looking for are things like sitemaps for Google's reference, things like llms .txt files for stuff like OpenClaw agents and Hermes agents, and structuring stuff like frequently asked questions into these type of formats, so that when agents land on your website, They're going to be able to get these answers really, really quick so then they can actually use it with your verified responses.
And so in that blogging step with what we built in, the agent isn't just building a blog, it's building it and then shipping it onto your website and it's converting the text file. into all of these different files that is needed to actually be searchable by these AI mobs. So now guys, I want to show you exactly how this engine actually works in reality.
And I want to give you an exact example of how we actually use this engine to let the agent write a blog that then went viral and created a lot of signups to the application. So you can see everything that I just said now working. So to understand this engine, I think the first step here is to ask what niche am I in and what type of blogs do I think I want the agent to be creating?
And so in this example, this is for our app, CreatorOS, which is a marketing agentic platform, which lets your AI agents handle all of your social media platforms and ads platforms at the same time. In our niche, there's a bunch of different things that we can make blogs about. We can make blogs about news and viral posts in the AI world, in the marketing world, in our business.
And so that would be feed A. We can talk about our new product releases, our new internal announcements, skills, and agentic systems.
And that'll be feed B. We could look at what other keywords are ranking really well in our niche and then reverse engineer the keyword into creating a blog post. And that'll be feed C.
And then feed D is the engine itself, self -improving and learning, and then coming up with new ideas. And so as a topic gets sent into the pipeline, we have a script writing agent that'll plan the post, draft it out, and then fact check everything.
And then the post has to go live without us being there. So we have to be comfortable with this being auto -approved. And then we're going to allow the traffic and the output of the performance to actually show us what is working.
And in that way, we can do some daily metric automation checks to see how many views and clicks we're getting from our blogs. And this will help the reinforcement learning step to actually reweight how the entire pipeline works. And this will help the agent learn what type of blog posts to actually then write.
And then this will continue going so on and so forth. And naturally, our team will be creating new releases and updates. And so those will just be relevant blog posts, as well as seeing what the competitors are already creating as blogs as well.
And so we are starting to formulate this engine and this engine can then be duplicated for any type of business or any type of personal brand as well. To make it self -improving, you just need to think about at what times do you want to set each of the automations? And so if you want to set, let's say, three blog posts a day, then we want to think about how many news ideas are going to be.
generated a day and then decided upon and stored as winning ideas product releases are you going to be having in the next week or month and when you want to announce them and all of this fun stuff is actually where the creativity really lies now and that's the other benefit of systems like this where us as the human gets to spend our time on the highest leverage thing which is the actual creative or the actual copy of what is being written and that is how we are instructing these skills to actually be designed, right?
So we're we get the opportunity to focus on the highest leverage thing. Okay, cool. So now let me just show you it working.
Alright, so this is the web analytics of the last 30 days. And on the right hand side, we have the new signups. And on average, 30 days ago, we're doing like one to two signups a day.
Now we're doing something like eight to 10. So that's been like a, you know, a 10x increase. And if we go over to the web analytics, This is where we can actually see what's generating all of this traffic, as well as the unique visitors where we're seeing like a 15 to 20x increase.
So, you know, yesterday, for example, we got 192 unique visitors compared to the month before that we got nine unique visitors. And if we look at the path that generated these visits, the blog, for example, Social Agents Open Source has actually generated 47 visitors already. And this was one of the first blogs that has been pumped out into the system.
And so I was like, oh, my God, is there any more proof that this is working? And so then I scroll down to referring domain. And if we click on and we can see like the top ones, the top ones, obviously YouTube.
And right under it, we have Google. And so if we click inside of Google, we get this beautiful chart. And the chart really started to take off once the blog started to get uploaded at the end of the end of last month.
And so that's a really exciting sign, because if we compare what Google did for us last month. We only got four unique visitors from there. Whereas yesterday, we got 34 already.
And so where this gets really wild is that the agent can then watch the user experience from every user that landed on this domain, which is the blog. And then we can see which users from the blog actually became like warm leads are interested in the product. And so the way that we do that is by the session replay skill that I was talking about, which lies right over here.
And so I'm not going to bore you guys by actually sitting here and showing you all of the different session replays of users clicking around my website, because we can feed all of this to our agent as well. And this is exactly what I'm talking about when I say we can build this fucking exact looping pipeline of the agent watching users on our website, making blog posts to funnel to the website.
And so we can have it. doing both ends of the marketing spectrum. And in that workflow that I just laid out for you, I'm literally talking about having an agent that watches warm leads, click around your site, and then find out the hottest leads to then send personalized emails to, because once we get them to sign up, like we can see whether or not they were very close to, you know, checking out.
And so like, then we can go into like a sniper approach. Like guys, the rabbit hole is absurd. And like this agent, for example, could then route it to like a sales, like to like a sales sniper.
for example, to the, to like that specific hot lead. And then it's like a cold lead. We can send them to like a invite to like free academy, for example, and all of this can be routed with like a Jeff model.
So we're entering like silly times. This is why it's like the era to really step on it and like get on top of it. And since SEO is a very unique, it's a unique kind of sport in the business game because it's unique to your business.
I can only give you guys the GitHub repository. And so everything that you saw is open source, where we have our post hoc agents, and our creator OS code base built into one another, you want that GitHub repository, it'll be at the link down below. So no more editing, no more screen recording, nothing, let's now Quickly, just recap essentially what this engine is and how it actually works.
So once you add the post hog and the search console and the creator OS API, you essentially have all the tools ready to turn cloud into an SEO agent. And so from there, agents will literally start writing blogs in the different keywords that it identifies it thinks it should. And it will start looking at the analytics from these blog posts.
And so you want to make sure that you have all of your automations set up in that way. And so the post hog skills that are inside of the code base will help you with that because it'll check the daily visitors. It'll check where the traffic sources are actually coming from.
And it can even watch the session replays. And all you need to do is think about what are the automations that you want to set. to actually check all of these different categories.
And then when do you want the agents to actually improve the system? Do you want to do it daily? Do you want to do it weekly?
And when I say improved system, I mean, typically changing the conversion page or the checkout page and typically changing what the blogs are being said or the design of the blogs themselves. But yeah, guys, that's the SEO agent and I'll catch you in the next.
The Hook

The bait, then the rug-pull.

A developer's ego got bruised when his own SEO agent told him his app was ranking badly, so he spent a month building a Claude Code harness that writes blog posts, watches analytics, and rewrites itself daily. The pitch here isn't just more content. It's a closed loop between what gets published and what the data says is actually working.

Frameworks

Named ideas worth stealing.

02:38list

The Nine Pillars of SEO

  1. Technical SEO (crawlability, sitemaps, site speed, mobile-friendliness)
  2. On-page SEO (title tags, keyword targeting, meta descriptions per page)
  3. Content strategy and E-E-A-T
  4. Off-page SEO (brand mentions, collaborations, podcast appearances, digital PR)
  5. Local SEO (Google Business Profile, NAP consistency)
  6. Platform-specific SEO (YouTube titles/descriptions/thumbnails, retention)
  7. App store optimization (name, subtitle, screenshots, ratings)
  8. E-commerce SEO (product/category pages, marketplace rankings)
  9. AI search optimization (GEO/AEO — getting cited in AI Overviews, ChatGPT, Gemini, Perplexity)

A category map for everything SEO now covers, with the claim that most businesses only need two or three pillars rather than all nine.

Steal fordeciding which SEO work is actually worth doing before building any tooling
03:41acronym

The E-E-A-T Formula

  1. Experience
  2. Expertise
  3. Authoritativeness
  4. Trust

The content-quality formula used to argue why blog posts should be written by someone with first-hand experience of the product, not a generic ghostwriter.

Steal forany content strategy where the founder is also the subject-matter expert
10:40model

The Self-Improving SEO Loop

  1. Scout (four feeds: viral news, product releases, keyword-gap research, engine's own queue)
  2. Brief / plan the post
  3. Write / draft
  4. Verify / fact-check
  5. Distribute / auto-publish
  6. Measure (daily analytics check)
  7. Learn (reweight based on what performed)

The closed-loop pipeline the agent runs end to end without a human approving each post, using performance data to decide what to write next.

Steal forany content engine that needs to run on autopilot and improve from its own output's performance
CTA Breakdown

How they asked for the click.

VERBAL ASK
25:55link
“I can only give you guys the GitHub repository... you want that GitHub repository, it'll be at the link down below.”

Soft, single-ask CTA near the very end pointing to the free open-source repo, plus separate description links to a paid Skool community and 1-on-1 calls that aren't mentioned on camera.

Storyboard

Visual structure at a glance.

open
hookopen00:00
9 pillars
promise9 pillars02:38
PostHog funnel
valuePostHog funnel06:56
pipeline diagram
valuepipeline diagram10:40
live analytics results
valuelive analytics results14:05
outro / GitHub repo
ctaoutro / GitHub repo25:55
Frame Gallery

Visual moments.

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