7 programmatic SEO tactics that got startups to #1 on ChatGPT

Most companies write one blog post at a time. A handful of fast-growing startups figured out something different: build one page template, then populate it with real, specific data across hundreds or thousands of variations.

The result isn't a blog, it's a wall of pages that each answer one narrow question exactly, which is precisely the kind of content both Google and AI answer engines like ChatGPT and Perplexity favor when deciding what to cite. This is called programmatic SEO. Here are seven versions of it, and what the pattern looks like applied outside of software.

1. Clay: a page for every company

Clay built out a page for essentially every US company, including its leadership and funding data. A sales rep googling "who is the CEO of [company]" lands directly on a Clay page, which then routes them toward more detailed data and eventually toward signing up. The template is simple (company name, leadership, funding), but the coverage is what makes it work, there's a page for almost anyone doing that specific search.

2. Zapier: a page for every app pair

Zapier's version is the most cited example in the programmatic SEO world for good reason. It built a dedicated page for every pair of apps in its integration library, things like "Slack + Google Sheets." Zapier has publicly scaled this to over 50,000 integration pages, reportedly pulling in somewhere in the range of 5-6 million monthly organic visits. Anyone searching for how to connect two specific tools tends to land on a Zapier page before anywhere else, because Zapier is often the only company that bothered to build that exact page.

3. Composio: the same idea, aimed at AI tools

Composio applied a near-identical structure, but pointed at a newer audience: developers connecting apps to AI models and agents. A page per app-times-model combination means someone searching "Google Analytics with Claude" or "Instagram with Cursor" reliably finds a page built for that exact pairing. It's the same Zapier mechanic, just aimed at a category that didn't fully exist a few years ago.

4. Gamma: letting users write the content for you

Gamma indexes the presentations its own users create and makes them public by default. Every deck a customer builds becomes a page that can rank, and every customer effectively becomes an unpaid content creator for the platform. This version of programmatic SEO doesn't require a company to generate the pages at all, it just requires product usage to naturally produce them.

5. Mintlify: making customers do the linking

Mintlify's approach leans on backlinks instead of new pages. Every company that runs its documentation on Mintlify links back to Mintlify by default. At scale, that's thousands of real, contextually relevant backlinks from companies with their own credibility, exactly the kind of signal that both Google and AI crawlers weight heavily when deciding what source to trust.

6. HeyGen: a page for every language

HeyGen built out pages around specific language pairs and use cases, things like "translate video to Japanese" or "Greek text to speech," each as its own indexable page. HeyGen announced it had crossed $200 million in annual recurring revenue in June 2026, with a large share of that growth coming from international markets, a business shape that a language-by-language page structure is particularly well suited to feed.

7. HubSpot: free tools as a distribution channel

HubSpot built out dozens of small, free tools, a lead finder here, a copy generator there, each one its own page. These aren't content pages in the traditional sense, they're functional tools that solve one small problem, get indexed and shared on their own, and quietly funnel usage into HubSpot's paid product.

The pattern underneath all seven

Every one of these companies did the same three things:

• Found a variable that repeats. App pairs, languages, companies, customer-generated content, whatever the unit is, there needs to be dozens or hundreds of real instances of it.
• Built one strong template. Not a thin, generic shell, a genuinely useful page structure that would be worth visiting on its own.
• Populated it with real specifics, not the same paragraph with one word swapped. This is the part that determines whether AI answer engines treat the page as a real source or filter it out as low-value.

That third point matters more now than it did a few years ago. AI answer engines are increasingly good at spotting thin, templated content and excluding it from citations, while rewarding pages that answer one specific question with real depth.

What this looks like for a UGC and content service

This same pattern doesn't require being a software company. The repeating variable just needs to be real.

For UGC Scout specifically, the equivalent structure looks like a page for every industry we produce video for (SaaS, DTC, hotels, fintech, and the rest), each with real specifics rather than a swapped noun: different ad angles from our 30-angle framework suited to that industry, real pricing context, and real objections buyers in that space actually raise. Alongside that, pages built around comparisons and script examples work the same way Composio's app-times-model pages do, matching the exact, specific thing someone is searching for rather than a broad overview page trying to cover everything at once.

It's the same mechanic as Zapier's integration pages or HeyGen's language pages, just applied to industries and ad angles instead of software integrations. If you want the reasoning behind why creator-made video needs this kind of specificity to actually convert once someone lands on the page, our guide on UGC video ads that convert covers that side of it.

FAQ

What is programmatic SEO?

Programmatic SEO is the practice of generating a large number of pages from a repeatable template, each targeting a specific, narrow search query, rather than writing every page individually. A single template (such as App A plus App B) can produce thousands of pages once populated with real data.

Does programmatic SEO still work for getting cited by AI answer engines like ChatGPT?

Yes, and arguably more than before. AI answer engines favor pages that directly and specifically answer a narrow question, which is exactly what a well-built programmatic page does. The pages that fail are thin templates with no real variation, both Google and AI engines increasingly filter those out.

Can programmatic SEO work for a service business, not just software?

Yes, as long as there's a real, repeatable variable to build pages around, such as industry, use case, or comparison. A UGC or content production service can build pages around industries served, competitor comparisons, or ad-angle examples, the same underlying pattern software companies use for integrations or languages.