How to Get Your Business Recommended by ChatGPT, Claude and AI Assistants

The Quiet Revolution in Business Discovery

Picture this: Sarah runs a boutique accounting firm in Manchester. For years, she's invested in SEO, maintained her Google Business Profile, and collected glowing reviews. Her website ranks on page one for "accountant Manchester" and business has been steady.

Then something shifts. New clients start mentioning they found her differently. "I asked ChatGPT for a recommendation," one explains. "It mentioned your firm specifically."

Sarah's intrigued—and slightly unnerved. She didn't optimise for ChatGPT. She doesn't even know how it decided to recommend her. But here's the thing: for every client who found her this way, how many others asked the same question and received different recommendations?

This isn't a hypothetical scenario. It's happening right now, across every industry, in every city. The way people discover businesses is fundamentally changing, and most business owners haven't caught up.

Why This Matters More Than You Think

When someone searches Google for "best accountant Manchester," they see ten results on page one. They might click three or four, compare options, and make a decision. Your job was to be one of those ten—ideally near the top.

AI assistants work differently. When someone asks ChatGPT, Claude, or Perplexity the same question, they typically receive two or three specific recommendations. Sometimes just one. There's no page two. No "also consider" section. Either you're mentioned, or you simply don't exist in that conversation.

The stakes are binary in a way traditional search never was.

How AI Assistants Actually Decide What to Recommend

Understanding this requires knowing a bit about how these systems work. It's less mysterious than you might think, and that demystification is actually good news—it means you can do something about it.

The Two Types of AI Knowledge

AI assistants draw from two distinct sources:

| Source | How It Works | What It Means for You | |--------|--------------|----------------------| | Training Data | Information the AI learned during its initial training (often with a knowledge cutoff date) | Historical reputation, media mentions, and established authority matter | | Real-Time Search | Some AI assistants search the web live when answering questions | Current SEO, fresh content, and up-to-date information matter |

ChatGPT (with browsing enabled), Perplexity, and Google's Gemini can search the web in real-time. Claude typically relies on training data unless given specific documents. Understanding which type of AI your potential customers use shapes your strategy.

What Influences AI Recommendations

Through testing and analysis, we've identified the key factors that influence whether AI recommends a business:

1. Frequency and Context of Mentions

AI models learn from patterns in text. A business mentioned frequently—and mentioned positively—across multiple sources is more likely to surface in recommendations. This isn't about gaming the system; it's about genuine presence across the web.

2. Source Authority

Not all mentions are equal. AI systems weight information from authoritative sources more heavily:

• Major news publications (The Guardian, BBC, industry trade press)
• Professional bodies and industry associations
• Academic institutions and government sources
• Established review platforms (Trustpilot, Google Reviews, industry-specific sites)

A mention in the Financial Times carries more weight than a mention on an obscure blog. This mirrors how humans evaluate credibility—and it's deliberate.

3. Information Consistency

AI systems become more confident when they see the same information repeated consistently across sources. If your website says you're based in Oxford, your Google Business Profile says London, and your LinkedIn says Birmingham, the AI has lower confidence in recommending you at all.

4. Specificity and Verifiability

Vague claims don't travel well through AI systems. Compare these two statements:

• "We're a leading web design agency with years of experience"
• "Oxford Web Services has delivered 200+ websites for UK businesses since 2003"

The second version gives AI something concrete to work with—and to cite confidently.

A Practical Framework for AI Visibility

Based on our research and client work, here's a structured approach to improving your AI visibility:

Phase 1: Audit Your Current Position

Before changing anything, understand where you stand:

1. Query the major AI assistants about your industry and location

   • ChatGPT: "Who are the best [your service] providers in [your location]?"
   • Claude: "Recommend a [your service] company in [your location]"
   • Perplexity: Same query—note it shows sources

2. Document what you find

   • Are you mentioned? If so, how are you described?
   • Which competitors appear? What do they have that you don't?
   • What sources does the AI cite (if visible)?

3. Identify gaps

   • Information that's wrong or outdated
   • Credentials or achievements not reflected
   • Competitor advantages you could match

Phase 2: Foundation Work

These elements form the baseline for AI visibility:

| Element | Why It Matters | Action Required | |---------|---------------|-----------------| | Consistent NAP | AI needs confidence in basic facts | Audit all listings for Name, Address, Phone consistency | | Structured Data | Helps AI parse your content programmatically | Implement LocalBusiness, Service, and FAQ schema | | Clear Service Descriptions | AI can only recommend what it understands | Write explicit, factual descriptions of what you do | | Verifiable Claims | AI avoids recommending unsubstantiated claims | Add specific numbers, dates, certifications |

Phase 3: Authority Building

This is where sustained effort pays dividends:

Get Featured in Authoritative Sources

• Industry publications and trade press
• Local business features (Oxford Mail, regional BBC, etc.)
• Professional association directories
• University or government supplier lists

Create Citable Content

• Original research or surveys in your field
• Comprehensive guides that others reference
• Tools or resources that earn natural links
• Case studies with specific, measurable outcomes

Earn Genuine Reviews

• Ask satisfied clients to share their experience
• Respond thoughtfully to all reviews (positive and negative)
• Maintain presence across relevant review platforms

Phase 4: Content Strategy for AI

Your content strategy needs to account for how AI processes information:

Write for Extraction AI often pulls specific facts from content. Structure your pages to make this easy:

✓ "Oxford Web Services is a web design agency based in Oxford, UK,
   specialising in websites for professional services firms."

✗ "We're passionate about creating amazing digital experiences
   that help businesses thrive in the modern world."

The first can be extracted and cited. The second is marketing fluff that AI will skip.

Answer Questions Directly AI assistants are fundamentally question-answering systems. Content that directly answers common questions performs well:

• "How much does a website cost in the UK?" → Provide actual price ranges
• "What should I look for in a web designer?" → Give concrete criteria
• "How long does it take to build a website?" → State realistic timeframes

Update Regularly For AI systems that search in real-time, fresh content signals ongoing activity and relevance. This doesn't mean churning out content for its own sake—it means keeping existing content current and publishing genuinely useful new material.

What Doesn't Work (And Can Backfire)

Some tactics that work for traditional SEO don't translate—and some can actively harm your AI visibility:

Keyword Stuffing AI understands context and meaning. Cramming "best accountant Manchester" into every paragraph doesn't help and makes your content less readable for humans and AI alike.

Fake or Manipulated Reviews AI systems are increasingly sophisticated at detecting review patterns that suggest manipulation. The risk isn't just wasted effort—it's being flagged as untrustworthy.

Thin or Duplicate Content AI needs substantive information to form recommendations. A hundred pages of thin content are worth less than ten pages of genuine expertise.

Gated or Private Content If AI can't access your content, it can't learn from it. That brilliant whitepaper behind an email gate? AI has never seen it.

Measuring Progress

AI visibility is harder to measure than traditional SEO, but not impossible:

Qualitative Tracking

• Monthly AI audits: Query the major assistants and document mentions
• Note changes in how you're described over time
• Track when competitors appear or disappear

Indirect Metrics

• Brand search volume (are more people searching your name specifically?)
• Direct traffic patterns
• Client acquisition source tracking ("How did you hear about us?")

Practical Tip: Add "AI assistant (ChatGPT, Claude, etc.)" as an option on your contact forms. You might be surprised how quickly this category grows.

The Long Game

Here's what we tell our clients: AI visibility isn't a hack or a shortcut. It's the natural result of doing the fundamentals well:

• Be findable - Consistent information across authoritative platforms
• Be credible - Real expertise demonstrated through real work
• Be clear - Specific, factual content that AI can confidently cite
• Be current - Active presence that signals ongoing relevance

Businesses that do these things aren't gaming AI systems—they're building the kind of reputation that deserves to be recommended, by humans and machines alike.

Getting Started This Week

If you've read this far and want to take action, here's a practical starting point:

1. Today: Query ChatGPT, Claude, and Perplexity about your service in your area. Document what you find.

2. This week: Audit your top three business listings for consistency (Google Business Profile, LinkedIn, your website's contact page).

3. This month: Identify one authoritative platform where you should be listed but aren't. Take steps to get listed.

4. Ongoing: Review and update your website's core service pages to ensure they state facts clearly and specifically.

The businesses that start now will have a significant advantage as AI-driven discovery becomes the norm. The question isn't whether this shift will happen—it's whether you'll be positioned to benefit from it.