When a product is genuinely good but invisible in search and AI answers, the problem is rarely the product. It is the missing discovery layer underneath it. This is the story of how we built an SEO engine from the ground up for HeyOz, an all in one AI ad creator, and turned a near zero search footprint into a compounding source of leads in about six months. If you want a concrete seo from scratch case study to model your own program on, this is a real one with real numbers.
This breakdown is written by CrawlCrest, an AI SEO consultancy that helps brands get found in ChatGPT, Google AI Overviews, and Perplexity. We work with fast moving SaaS and AI products that have momentum on the product side but no presence inside the answer engines where their buyers now research. HeyOz was exactly that kind of brand when we started.
Key Takeaways
- HeyOz is an all in one AI ad creator built in Singapore that turns a product URL into image and video ads, UGC, and brand commercials across more than ten formats, but it launched with zero SEO surface.
- The core problem was not the product. It was a missing discovery layer, with no landing pages for buyer intent queries, no blog content, no schema, no technical hygiene, and an almost empty link graph.
- Competitors were already being cited heavily by AI Overviews, ChatGPT, Perplexity, and Gemini, while HeyOz was nowhere inside the answer box.
- We ran five workstreams in parallel from week one, a technical SEO foundation, more than ten buyer intent landing pages, a 50 plus blog engine, contextual backlinks plus sustained Reddit marketing, and branded click stability.
- In about six months Domain Rating grew by more than 100%, more than doubling from a near zero baseline.
- Referring domains climbed by more than 500%, building a link graph strong enough to support every page on the site.
- Branded clicks became consistent week to week and HeyOz now appears inside AI Overviews and ChatGPT answers for category defining queries around AI ad generator, AI UGC, and AI video ads.
- The biggest lesson from this seo from scratch case study is that a foundation build, not a quick optimization sprint, is what creates compounding visibility across AI search surfaces.
What was the AI ad creator struggling with?
HeyOz had a great product and zero SEO surface. That single sentence captures the whole starting position. The platform itself was strong. It reads a product URL, pulls the visuals and product details automatically, and outputs scroll stopping image and video ads, user generated content, and brand commercials across more than ten formats, including static ads, carousels, AI UGC hooks, realistic actor scenes, and product demo videos. For a performance marketer or a solo founder, that is a faster path to higher ROAS without stitching together an agency, separate UGC creators, multiple AI subscriptions, and a video editor.
The catch was that none of that value was discoverable. When a buyer in the AI ad creator category opened Google or asked ChatGPT for the best AI ad generator, HeyOz simply did not show up. The product had momentum on launch surfaces, but the search and AI discovery layer did not exist yet. That is the recognizable trap a lot of AI products fall into. The build team ships something genuinely useful, the early users love it, and then growth stalls because the brand is invisible in the exact places where new buyers go to research.
If you run an AI product and you can feel that gap, where your demos convert but your pipeline depends entirely on launch traffic and paid ads, you are looking at the same problem HeyOz had. The good news is that it is fixable, and this seo from scratch case study shows the order we fixed it in.
What was actually broken?
When we diagnosed the account, the issues were not subtle. They were foundational gaps, and they all reinforced each other.
There were no landing pages for the buyer intent queries the product could realistically win. The homepage was trying to carry every query by itself, which is a losing position in a fast moving niche with dozens of new tools launching every month.
There was no blog content to feed AI Overview and ChatGPT citations. AI engines pull from structured, citation friendly content, and HeyOz had none of it, so there was nothing for the answer engines to extract and attribute.
There was no schema markup. Structured data is one of the signals AI engines actively use to decide who to cite, and without it the crawlers had no clean machine readable picture of what each page was about.
There was no technical SEO hygiene. Site architecture, internal linking, XML sitemap, robots configuration, indexation strategy, and page speed all needed to be set up rather than tuned, because they did not properly exist yet.
The link graph was effectively empty. With almost no referring domains, even the homepage struggled to rank against entrenched competitors, and there was no authority to pass to new pages.
Brand mentions were limited to the launch surfaces. There was very little presence on Reddit or inside the editorial publications where founders and performance marketers actually research before they sign up.
And the most expensive problem of all, competitors were already being cited heavily by AI engines. AI Overviews, ChatGPT, Perplexity, and Gemini were citing rival tools at high frequency, and HeyOz was nowhere inside the answer box. Every week that gap stayed open, the competitors compounded their citation advantage.
If this list looks like your own site, you do not have to keep guessing where the leaks are. You can book a free audit and get a clear map of exactly what is missing before you spend another month on it.
What did we change?
We treated this as a foundation build, not an optimization sprint. That framing mattered. You cannot optimize pages that do not exist or earn citations with content you have not published. So instead of a slow sequential checklist, five workstreams ran in parallel from week one, with weekly checkpoints across Google search and the AI answer engines. Here is what each workstream did.
Built a technical SEO foundation from scratch
We set up the technical layer that did not yet exist. That meant site architecture, internal linking, an XML sitemap, robots configuration, an indexation strategy, page speed fixes, and schema markup across feature pages, blog templates, and use case pages. Schema was a priority because it is one of the signals AI engines use to decide who to cite. From day one, Google and the LLM crawlers had clean machine readable signals to work with instead of a structureless site.
Shipped more than ten buyer intent landing pages
We mapped the buyer intent landscape across AI ad generator, UGC ads, product demo videos, AI carousels, AI actors, AI presenters, and high volume creative testing. Each priority intent got its own dedicated landing page, written for both the human buyer and the AI snippet boxes. That meant question led headings, comparison blocks, structured data, and a clean conversion path back to the trial signup. Instead of one overloaded homepage, the product now had a page built to win each query it could realistically own.
Stood up a blog engine with 50 plus posts
We launched and produced more than fifty blogs covering AI ad strategy, format playbooks, platform specific guides, and category comparisons. Every post was built in citation friendly format, from heading hierarchy to FAQ schema, so the content compounds for both classical search and AI Overview, ChatGPT, and Perplexity answers. A blog engine like this is not a one off campaign. It is an asset that keeps earning impressions and citations long after each post ships.
Built backlinks and ran sustained Reddit marketing
We placed more than fifty contextually relevant backlinks from publications, AI tool roundups, and SaaS reviews that drive real referral interest, not just raw link counts. In parallel we ran a sustained Reddit marketing program inside the marketing and creator communities where HeyOz buyers actually spend time. Reddit matters far beyond referral clicks now, because brand mentions inside those threads compound inside the AI answer engines that increasingly cite community discussion.
Locked in branded click stability
We tightened brand consistency across every owned and earned surface and refined the content formatting that AI engines extract from. The result is that branded clicks now come in consistently every week as the broader organic surface keeps expanding. Stable branded demand is the quiet signal that a brand is becoming a category default rather than a one time launch story.
What were the results?
In about six months, HeyOz went from zero search visibility to a working SEO and AI discovery engine. These are the real numbers from the engagement, and you can read the full HeyOz case study for the complete picture.
Domain Rating grew by more than 100%, more than doubling the authority signal from a near zero baseline. That is the difference between a site that cannot rank anything and a site with enough authority to push new pages into competitive results.
Referring domains climbed by more than 500%. The link graph went from effectively empty to strong enough to support every landing page and blog on the site, which is what gives new content a real chance instead of launching into a vacuum.
Branded clicks became consistent week to week. Instead of spiking around launches and then fading, branded demand now arrives steadily, which is the signal that the brand is sticking in buyers' minds.
Leads are flowing in from the AI surfaces the brand was previously missing entirely. HeyOz now appears inside AI Overviews and ChatGPT answers for category defining queries around AI ad generator, AI UGC, and AI video ads. The foundation is in place and continues to compound across the AI search surfaces buyers actually use. If you want to understand how that citation visibility is engineered, our guide on AI Overviews visibility walks through the mechanics, and the AI startup case study shows the same pattern in another product category.
What can your brand learn from this seo from scratch case study?
The HeyOz story is specific, but the lessons generalize to almost any AI or SaaS product that is strong on the product side and invisible on the discovery side. If you only take a few things from this seo from scratch case study, take these.
First, a great product does not market itself in the AI era. Buyers research inside Google and answer engines, and if you are not present there, you are invisible at the exact moment of consideration. The product being good is the prerequisite, not the growth strategy.
Second, sequence matters less than parallelism when you are starting from zero. Waiting to finish technical work before touching content, or content before links, just stretches the timeline. The reason HeyOz saw results in about six months is that five workstreams ran together from week one.
Third, schema and structured content are not optional anymore. They are how you become extractable. AI engines cite the pages they can cleanly parse, so the brands that format for extraction get cited and the ones that do not stay outside the answer box.
Fourth, brand mentions are an SEO asset now, not just a PR nice to have. Reddit threads and editorial mentions feed the same answer engines your buyers query, so authority building and citation building are increasingly the same project.
If you are facing the same problem, a strong product with no discovery layer, the worst move is to wait another quarter and hope organic shows up on its own. You can talk to CrawlCrest and get a plan that matches where your gaps actually are.
How does CrawlCrest help you build SEO from scratch?
CrawlCrest is an AI SEO consultancy that helps brands get found in ChatGPT, Google AI Overviews, and Perplexity, alongside classical Google rankings. We specialize in exactly the situation in this seo from scratch case study, a product with real momentum but no search or AI discovery surface to support it.
The work usually starts with a free audit. We map your technical foundation, your indexation and schema coverage, your existing link graph, and where competitors are already being cited by AI engines while you are not. That audit becomes a prioritized plan rather than a generic checklist, so you know what to fix first and what each fix is actually worth.
From there we build the same kind of engine we built for HeyOz, tuned to your category. That means a technical SEO foundation set up properly from the start, landing pages mapped to the buyer intent queries you can realistically win, a blog engine produced in citation friendly format so it compounds across both Google and the answer engines, contextual backlinks and a sustained Reddit presence that builds brand mentions where your buyers research, and the brand consistency work that turns one time launch traffic into stable weekly branded demand.
What makes this approach different is that we optimize for AI citation from day one, not as an afterthought. Schema, question led headings, FAQ structure, and clean extractable formatting are baked into every page through our LLM SEO work so the LLM crawlers can quote you. As the team behind multiple six month foundation builds, including HeyOz and other AI products, we know what compounds and what wastes budget. We judge the work on deliverables and outcomes, not on activity. If you want to see what that would look like for your brand, the first step is simple. Get a free audit and we will show you exactly where your visibility is leaking and what it would take to close the gap.
Final thoughts on this seo from scratch case study
HeyOz proves a point that is easy to forget when you are heads down on product. In the AI era, being good is necessary but not sufficient. The brands that win are the ones that are also findable, inside Google and inside the answer engines, at the moment a buyer is deciding. HeyOz had the product. What it was missing was the discovery layer, and once that layer was built from scratch, the authority, the referring domains, the branded demand, and the AI citations followed in about six months.
If your product is strong but your search and AI footprint is thin, you are exactly the kind of brand this playbook was built for. The sooner you start the foundation, the sooner it compounds. To get a clear read on where you stand and what to build first, book your free audit and let us map the path from zero to a compounding SEO and AI visibility engine.
