A jargon-free guide to making your business visible in the age of ChatGPT, Google AI, and all the rest.
For twenty years, getting found online worked like this: someone typed words into Google, Google showed a list of websites, and people clicked on the ones that looked right.
That's not how it works anymore. Not entirely, anyway.
Now, when someone asks a question, AI reads hundreds of websites and writes its own answer. It decides which businesses to mention, which experts to quote, and which sources to trust. Your customers might never even visit your website. They just see (or don't see) your name in an AI-generated response.
The question is no longer "Can people find my website?" It's "Does AI understand my business well enough to recommend it?"
Imagine a librarian in the world's biggest library. Millions of books. Someone walks in and asks: "Who's the best person to help me renovate my kitchen in South London?"
The librarian has to make three decisions, very quickly:
This is the easy part. Keywords, topics, subject matter. Most businesses get this right already.
Now it's getting more specific. Location, service area, relevance to what the person actually needs.
This is where it gets interesting. The librarian doesn't just want any book. She wants one written by someone she trusts. Someone with credentials, experience, and a reputation. Someone other trusted sources also reference.
Most businesses have done a reasonable job of writing books (creating content). Fewer have made it clear who wrote them, why that person is qualified, and how all their books connect together.
AI has the same problem. It can find your content. But if it can't figure out who's behind it, why they're credible, and how everything fits together, it picks someone else.
The tech industry loves making simple things sound complicated. So let's cut through it.
There are really only two things you need to understand. And they're both simpler than they sound.
Imagine moving house. You pack everything into identical brown boxes. When you arrive, you have no idea what's in each one. Plates? Books? The cat?
Now imagine you'd labelled every box clearly: "Kitchen, fragile, plates." You'd unpack in half the time.
Schema markup is labelling for your website. It's invisible code that tells AI systems exactly what each page contains. Not in vague terms, but in very specific ones:
Without labels, AI has to guess. And guessing is the enemy of getting recommended.
AI sees a page about kitchens. Somewhere in London, maybe. Written by... someone. Could be good. Could be spam. It moves on.
AI sees a page about bespoke kitchen design in South London, written by an award-winning designer with 15 years' experience. Now it's paying attention.
Labels are the starting point. But they're not enough on their own anymore, because everyone's catching on and adding them.
The real advantage comes from connections. In the tech world, this is called a "knowledge graph," but honestly, it's just a web of relationships that proves you're the real deal.
If a stranger tells you a restaurant is brilliant, you might try it. Maybe.
If your best friend recommends it, a food critic mentions it, and your colleague says they had their birthday there last month, you're booking a table tonight.
Knowledge graphs work the same way. AI doesn't just look at what you say about yourself. It looks at what everyone else says, and whether all those references connect up consistently.
A knowledge graph is what happens when AI can connect the dots between:
"Sarah Chen is the founder of Elmwood Kitchens. She's written articles for Houzz, spoken at the London Design Fair, and has 127 Google reviews averaging 4.8 stars."
"Elmwood Kitchens has published 40 articles about kitchen design. They cover everything from planning permission to handleless cabinetry. Each one links to related articles, building a comprehensive resource."
"Elmwood is mentioned in Homes & Gardens, listed in the KBSA trade directory, and has a complete Google Business Profile with regular updates."
When AI can trace all these connections, something powerful happens. You stop being "a kitchen company with a website" and become "the kitchen expert AI confidently recommends."
Think of AI visibility as a pyramid. Each layer builds on the one below it. Skip the foundation and nothing above it works properly.
Your business name, location, services, contact details, and key people. Consistently presented everywhere. This sounds obvious, but you'd be amazed how many businesses have different names, addresses, or descriptions across different platforms. AI notices. And it gets confused.
Your website content, properly labelled. Service pages that answer specific questions. Articles that demonstrate genuine expertise. FAQs that give clear, quotable answers. Each page connected to related pages so AI can see the full picture.
External validation. Reviews, press mentions, industry directory listings, expert contributions, speaking engagements. This is the layer that tells AI: "Other trusted sources vouch for this business." Without it, you're just a company saying nice things about itself.
They jump straight to publishing more content (Layer 2) without fixing their identity (Layer 1) or building external authority (Layer 3).
It's like writing a brilliant cookbook but publishing it under a fake name with no author photo, no publisher, and no reviews. The content might be excellent. But nobody has a reason to trust it.
For years, the advice was simple: write more blog posts, target more keywords, publish more pages. And it worked. More content meant more chances to show up in search results.
AI search has changed that equation. Here's why.
Google showed a list of links. More pages meant more chances to appear on the list. Even average content could rank if it hit the right keywords.
AI writes one answer. It picks the most trustworthy, clearly structured sources to build that answer. Volume doesn't help if the content can't be understood, attributed, and verified.
The reality is that AI systems now have access to almost everything on the internet. They're not short of content. What they're short of is content they can trust, attribute to a real expert, and quote with confidence.
That's why the businesses getting cited in AI answers aren't necessarily the ones with the most blog posts. They're the ones where AI can clearly connect the content to a credible source.
Good news. This doesn't require a computer science degree. Most of it is about being clear, consistent, and specific about who you are. Here's where to start.
Same business name, same address, same phone number, same description across your website, Google Business Profile, LinkedIn, industry directories, and anywhere else you appear. AI cross-references these. Inconsistencies create doubt.
Every article, service page, and case study should be clearly attributed to a real person with real credentials. "Written by Sarah Chen, KBSA-accredited designer with 15 years' experience" tells AI something useful. "Written by Admin" tells it nothing.
AI loves content that starts with a clear answer. Don't bury the useful information three paragraphs down. Lead with the answer, then explain it. Think about the questions your customers actually ask, and answer them on your website as clearly as you would face to face.
If you've written about kitchen worktops, and you've also written about kitchen lighting, link them together. AI uses these connections to understand the breadth and depth of your expertise. A web of connected content looks like a knowledge base. A collection of unlinked pages looks like a blog nobody maintains.
This is the one step that typically needs a web developer or a technical GEO specialist. Ask them to add schema markup for your business information, your services, your team, your FAQs, and your articles. It's not visible to visitors, but it's essential for AI. Think of it as filling out the library catalogue card for every page.
Get listed in relevant industry directories. Contribute expert comments to publications. Answer questions on forums. Collect and respond to Google reviews. AI doesn't just look at your website. It looks at what the rest of the internet says about you.
In case anyone throws these terms at you in a meeting, here's what they actually mean.
None of this replaces genuine expertise. If your business doesn't actually deliver great work, no amount of schema markup will fix that. AI is getting better at spotting the difference between businesses that know their stuff and businesses that are just good at marketing.
But here's the thing. Plenty of brilliant businesses are invisible to AI right now because they've never thought about how their digital presence fits together. They've got the expertise. They've got happy customers. They've got years of experience.
They just haven't made it easy for AI to connect the dots.
That's the opportunity. Not more content. Not more marketing. Just more clarity about who you are, what you know, and why you're worth recommending.
This is exactly what we do at Devstars. We help businesses get found in the age of AI search, from strategy through to technical implementation.
Devstars · Digital Growth Agency
London · St Helier · Toronto
Questions? We explain this stuff over coffee, not in jargon.
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