What building SEO programs for nearly 100 enterprise brands has taught me

Over the past several years at Botify, I've had the privilege of working with nearly a hundred major brands across e-commerce, publishing, B2B, finance, travel, and health and wellness — helping them grow their organic visibility. That kind of exposure teaches you things a single in-house role never could. You see the good, the bad, and the ugly of how the best teams operate, and just as clearly, where others struggle. This is my attempt to write down what that's taught me.

Strategy isn't tactics

The truth is, an effective SEO strategy isn't just about doing SEO really well. Technical excellence matters — I've spent my career proving that — but it's necessary, not sufficient. The brands that actually win in organic search are the ones delivering exceptional products and experiences. SEO can surface a mediocre page to a searcher. It can't make that page worth the click.

The strongest organic performance I've seen has never come from a team obsessed with rankings in isolation. It's come from teams that treat search as one signal among many that they're building something genuinely good.

Crawl to Convert

I think about SEO as a single continuous path, not a set of disconnected tactics. I call it Crawl to Convert. It starts exactly where the name suggests: can a crawler even reach and render your content? From there it has to be indexed accurately, surfaced for the right intent, clicked — and, the part too many programs stop measuring, actually convert once someone arrives.

Too many SEO programs optimize furiously for the first few steps of that path and lose the thread by the time a real user shows up. The whole point of visibility is what happens after someone finds you. If a program can't draw a line from crawl behavior to business outcome, it's optimizing a metric, not a result.

The fundamentals still matter — maybe more than ever

With everyone talking about AI reshaping search, it's tempting to assume the old rules don't apply anymore. They do. Crawlability, site architecture, rendering, structured data, content quality — every fundamental that made a site legible to Google is exactly what makes it legible to an LLM.

If anything, the bar went up. AI systems are less forgiving of ambiguity than a traditional search index. A site that's confusing to crawl or thin on substance doesn't get a second chance to persuade a language model the way it might a human scanning ten blue links.

What AI will commoditize — and what it won't

Here's where I think this goes. AI is going to commoditize technical SEO. The kind of deep technical diagnosis that used to require years of specialized expertise — crawl analysis, rendering debugging, structured data audits — is rapidly becoming something a well-built tool can do in seconds. I've built several of these tools myself, so I'm not speculating from the sidelines. That's a good thing for the industry, even if it changes what the job looks like.

What it doesn't commoditize is the product and the content underneath it. As the technical floor rises for everyone, the differentiator shifts to what a brand actually built and has to say. Great products and substantive, genuinely useful content will matter more, not less. PR and off-page SEO become the amplifiers for that substance — supporting cast, not the star, but more important than they've been in years, because they're how real authority gets recognized by systems that increasingly reason about brands as entities, not just as sites.

None of this is theoretical for me. It's the pattern I've seen play out across a hundred different brands, teams, and search results pages. If you're thinking through how your organization should adapt, I'd welcome the conversation.