You spent $8,000 on a website. Custom photography, smooth animations, a colour palette your designer spent three weeks perfecting. It looks great. Your clients compliment it. And yet — new enquiries haven't moved.

The problem isn't the design. The problem is that the people who would become your best clients are no longer finding you through Google at all. They're asking AI. And AI can't read your hero image.

Beautiful but invisible

There's a growing gap between what makes a website look good to humans and what makes it useful to AI. A stunning visual design, a compelling brand story, a perfectly crafted tagline — none of these help an AI assistant understand what you actually do, where you do it, or why it should recommend you over the clinic down the street.

AI doesn't care about your hero image. It cares about whether it can extract a clear answer from your page.

When a potential client asks ChatGPT for a recommendation, the AI is scanning for specific, extractable information: service names, location signals, practitioner credentials, patient outcomes. If your website buries that information inside beautiful but vague copy, the AI moves on to a competitor whose site is less pretty but more parseable.

What AI actually reads

AI doesn't experience your website the way a human does. It doesn't see the layout, feel the brand, or appreciate the photography. It reads text, structured data, and the relationships between them. It's looking for answers to specific questions: What services do you offer? Where are you located? Who are your practitioners? What do patients say about you?

If those answers aren't clearly and explicitly present in your content — not implied by your design, not suggested by your imagery, but actually written out — AI can't extract them. And if AI can't extract them, it can't recommend you.

The websites that perform best in AI recommendations tend to look fairly ordinary. They have clear service descriptions, named staff with credentials, location-specific content, and FAQ sections that answer the questions patients actually ask. They're not trying to win design awards. They're trying to be understood.

The most common mistakes

After auditing dozens of local business websites for AI visibility, the same patterns appear again and again. These aren't obscure technical failures — they're content decisions that made sense for human visitors but actively hurt AI readability.

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Vague service descriptions
"Transformative treatments tailored to you" tells AI nothing. It needs specific service names, descriptions, and outcomes — the kind of copy that answers a direct question.
📍
Missing location signals
If your city, neighbourhood, or service area isn't explicitly mentioned in your content and structured data, AI won't confidently recommend you for local queries.
No FAQ content
Patients ask AI questions before they book. If your site doesn't answer those questions, you're not in the conversation — and you won't be recommended at the end of it.
👤
No named staff
Anonymous "our team" pages don't build AI trust. Named practitioners with credentials and treatment specialisations create the kind of verifiable signal AI needs to recommend a clinic confidently.

What to fix first

You don't need to rebuild your website. You need to add the right content in the right places. Start with the changes that have the highest impact on AI readability — and that you can make without touching your design.

  • Rewrite your services page to name each treatment explicitly, with a dedicated section or page per service
  • Add your city and neighbourhood to your homepage headline, meta description, and at least two body paragraphs
  • Update practitioner bios to include full name, credentials, years of experience, and treatment specialisations
  • Add a FAQ section to your homepage or services pages answering the 5–8 questions patients most commonly ask
  • Implement LocalBusiness schema markup so AI can extract your name, address, phone, and services in a structured format

Find out what AI sees when it looks at your site

GetCited runs a 5-day AI Referral Scan — testing 50+ queries across ChatGPT, Claude, Gemini and Perplexity to show exactly where you appear, who appears instead, and what's missing.

Start your scan — $350