Technical SEO, Explained for Business Owners Who Aren't Developers

Why technical SEO still matters in the age of AI answers

For years, "technical SEO" meant one thing: making Google happy so you'd rank higher in search results. That's still true, but there's a second reason to care about it now. The same signals that help Google understand your website also help AI models like ChatGPT, Gemini, Claude, and Perplexity understand what your business does, where it operates, and whether it's worth recommending.

You don't need to become a developer to understand the basics. Most of technical SEO is just making sure your website clearly states facts about your business in a format that machines can read reliably, not just humans.

Schema markup: labeling your business for machines

Schema markup is a small piece of code added to your website that labels information in a structured way. Instead of a computer having to guess that "123 Main Street" on your page is your address, schema markup explicitly tags it as an address. The same goes for your business hours, phone number, service area, reviews, and pricing.

Humans can read a page and figure out what it means from context. Search engines and AI models are getting better at that too, but they still benefit enormously from explicit labels. Think of schema markup as adding captions to a photo instead of hoping the viewer figures out what's in it.

You don't need schema markup to have a functioning website. But if you're missing it, you're making search engines and AI tools work harder to understand basic facts about your business, and when something is harder to confirm, it's less likely to be repeated confidently.

Meta descriptions and headings: the summary you never see

A meta description is the short snippet of text that can appear under your page title in search results. It's not visible on the page itself, it lives in the code, which is exactly why most business owners never think about it. But it's one of the clearest, most concise summaries of what a page is about, written specifically to be read by machines and skimmed by humans.

Headings work similarly. The words you use in your H1 and H2 tags (the big and medium-sized text on a page) tell search engines and AI systems what the page's main topics are. If your homepage heading just says "Welcome," you've told any machine reading it almost nothing. If it says "Family Dentist in Overland Park, Kansas," you've told it exactly what to associate you with.

Neither of these things is complicated to write. The barrier usually isn't skill, it's that nobody told business owners these fields existed or mattered.

Page speed: a signal of basic upkeep

PageSpeed is a bit different because it's not about labeling information, it's about how quickly your site loads. A slow site creates a worse experience for visitors, and it's also a weak signal that a site might be outdated or poorly maintained. Neither search engines nor AI tools want to send people, or generate recommendations, based on sites that seem unreliable or broken.

You don't need a perfect PageSpeed score. You need a site that loads reasonably well and isn't obviously neglected.

What this has to do with AI recommendations

Here's the connection that matters. When someone asks an AI model something like "who's a good plumber in Tulsa," the model isn't browsing the live web in the way a person does. It's drawing on patterns, associations, and whatever it can verify about businesses that match the question. A website with clear schema markup, an accurate meta description, and descriptive headings gives that model more confirmed facts to work with. A website without those things is harder to vouch for, even if the business itself is excellent.

This is exactly the gap Belcher is built to check. Belcher asks AI models recommendation-style questions to see whether your business gets mentioned, then reads your website to check the same basic signals covered here: schema markup, meta description, headings, and PageSpeed. Where something is missing or weak, Belcher can generate the actual schema, FAQ content, or meta snippet for you to paste into your site yourself.

None of this requires you to learn to code. It requires knowing what's missing and having something concrete to fix it with, which is the honest, unglamorous work behind showing up in both search results and AI answers.