For years, digital visibility was a game of keywords and technical SEO. But search has shifted from ranking pages to recommending entities. Generative AI is fundamentally changing the mechanics, and instead of showing options, platforms like ChatGPT, Claude and Gemini now provide definitive answers.
For B2B, service-based, or lead-generation businesses, your AI visibility strategy needs to focus heavily on brand authority. That’s because AI recommendation is evaluative, and every evaluation is based on proof, sentiment and expertise.
This is how you create a winning Generative Engine Optimisation (GEO) strategy, and how you get recommended in ChatGPT.
The mechanics of AI search
While optimising for ChatGPT shopping has its own rules that rely heavily on product feeds and technical schema, outside of eCommerce, it’s purely about authority.
When a user asks an AI, they use highly specific, conversational prompts like, ‘I run a £5M manufacturing business in Telford, who is the best commercial architect to help us design a sustainable warehouse expansion?’ To answer this, the AI draws on patterns learned from vast amounts of web data to build a probable consensus.
Known as Large Language Models (LLMs), an AI like ChatGPT doesn’t ‘read’ a website the same way humans do. Instead, it looks for mathematical patterns. To an AI, your business is an ‘entity,’ and its goal is to connect it to positive sentiment and high-level expertise.
This means that if you want to optimise for AI search, you can’t just publish a page that claims you’re the best. You have to prove it through third-party validation, delivering a strong, verifiable digital footprint.
How to rank in ChatGPT (and other AI)
If ChatGPT cannot confidently describe your business, neither can your prospects. If it fabricates your services, your digital footprint is weak. And if it says it lacks information, you have no authority.
Here’s how to build AI authority through the standards of proof, sentiment and expertise.
For a more detailed breakdown of SEO vs AEO vs GEO, we’ve covered that separately here.
This article focuses on how you become the recommendation.
01. The standard of proof
You must exist credibly outside of your own website. That’s because AI models need undeniable proof that you exist, are active and that you’re an authority in your specific location and industry. In AI search, this is known as ‘entity resolution,’ combining loads of different data records to create one single 360 view of your business.
In traditional SEO, you wanted a clickable backlink. In GEO, unlinked brand mentions are just as powerful. The AI looks for ‘co-occurrence’, so how often your brand name appears in high-trust environments alongside your core services.
To build this, you need to proactively manage your digital footprint for consistency, starting with your foundational data. This means keeping your Name, Address and Phone number (NAP) identical across your website, Google Business Profile, LinkedIn and industry registries. If your data is inconsistent across these core platforms, the AI cannot confidently resolve your entity, and its trust in your brand drops.
Once everything is consistent across your owned channels, look at securing mentions in local news features, industry association directories, supplier websites and digital PR. If your business is mentioned by another high-authority source, the AI registers that as a powerful trust signal.
02. The standard of sentiment
When an AI decides who the ‘best’ provider is, it relies heavily on reviews. But, alongside your average star rating, it analyses the actual text to understand the specific context of your strengths.
If you have fifty reviews that just say ‘Great service’ or ‘Thanks for your help, Dave’, then the AI learns very little. But if you have fifty reviews that say, ‘Their commercial property team were outstanding, helping us negotiate a highly complex multi-site office lease’, the AI permanently maps those specific capabilities to your brand entity.
For a successful GEO strategy that helps you rank in AI, you need a system for collecting detailed, text-rich reviews across platforms like Google, Trustpilot and other industry-specific sites. Guide your clients to mention exactly what service you provided and the impact it had, providing rich lexical context. This is what AI uses to make confident, highly specific recommendations.
03. The standard of expertise
AI models are trained on consensus. If your website publishes a generic blog post titled ‘5 benefits of working with an accountant’ that offers the exact same information as a thousand other websites, you become invisible to an AI. It has no reason to cite you.
To be referenced by ChatGPT or Gemini as an expert source, you need to provide new insights and unique perspectives. This is known as ‘information gain’, where an AI evaluates how much new information a webpage adds to a topic compared to the ‘consensus’.
So stop publishing generic articles and start publishing internal data, alternative industry opinions, unique frameworks and deep-dive case studies that detail your exact problem-solving methodology. When you stop playing it safe and publish insights that cannot be found anywhere else, you establish brand authority, forcing the AI to cite you as the primary source.
Take action: The 5-minute AI ranking audit
It takes time to build a digital reputation, but you can make a start by auditing your current AI authority in five minutes.
Open ChatGPT, Gemini, or Claude and type in this prompt:
