You've probably tested it yourself — typed your company name or your industry into ChatGPT and watched as it recommended other businesses. This post is about changing that.
Getting recommended by AI tools isn't luck. It's the result of specific, deliberate actions that make your business more visible, more authoritative, and more AI-readable. Here's how to do it.
Step 1: Understand How AI Decides Who to Recommend
ChatGPT, Gemini, and similar tools form their recommendations from a combination of:
- Training data — content published across the web before their knowledge cutoff
- Real-time retrieval — in tools like Perplexity and Gemini, live web data is incorporated
- Entity recognition — how well AI systems can identify your business as a distinct, authoritative entity
To be recommended, your business needs to appear in enough high-quality sources, be clearly associated with the right topics, and be structured in a way that AI systems can confidently cite you as an answer.
Step 2: Build Topical Authority With Deep Content
The single most impactful thing you can do is create genuinely comprehensive content about your core service areas. Not thin blog posts — deep, authoritative resources that answer every relevant question a potential customer might have.
AI systems favor businesses that demonstrate deep expertise in a subject. A company with 10 shallow blog posts about a topic will lose to a company with 3 comprehensive, well-structured guides — every time.
Focus on creating:
- Comprehensive pillar pages covering your main service areas end-to-end
- Supporting articles addressing specific subtopics and questions
- FAQ pages that directly answer the questions AI users are asking
- Case studies and examples that demonstrate real expertise
Step 3: Implement FAQ and Structured Data Schema
Structured data is how you communicate directly with AI systems in a language they understand. FAQ schema, in particular, is one of the highest-leverage technical implementations for AI discoverability.
When you mark up a FAQ section with proper schema, you're essentially flagging to AI systems: “This is a direct, authoritative answer to this specific question.” AI tools are trained to prioritize structured, clearly-formatted answers over unstructured prose.
Step 4: Earn Citations From Authoritative Sources
AI systems trust businesses that other trusted sources also trust. Getting mentioned in industry publications, local business directories, news sites, and authoritative blogs creates the web of citations that AI uses to validate recommendations.
This is different from traditional link building — you're not just looking for links. You're looking for brand mentions, interviews, guest posts, and any content that creates an association between your business name and your area of expertise.
Step 5: Optimize Your Business Entity Across the Web
AI systems identify businesses as “entities” — distinct, consistent identities with specific attributes (name, location, services, expertise). The more consistently your business information appears across the web, the more confidently AI can recognize and recommend you.
Make sure your business name, description, and service areas are consistent across:
- Your website (with proper Organization schema)
- Google Business Profile
- LinkedIn company page
- Industry directories and review sites
- Any press or publication mentions
Step 6: Monitor and Measure Your AI Visibility
You can't improve what you don't measure. Set up a regular process for testing your AI visibility — query ChatGPT, Gemini, and Perplexity with your target keywords and document whether your business appears.
Track changes month over month as you implement these strategies. AI visibility typically improves meaningfully within 60–90 days of consistent implementation — and compounds significantly over 6–12 months.
The businesses showing up in AI recommendations today didn't get there by accident. They built the right foundation. These steps are that foundation.

Written by
Matt Bertram
Fractional CMO & Strategic Growth Architect · CEO of EWR Digital
Matthew Bertram has over two decades of experience in digital strategy, revenue architecture, and AI-mediated information systems. He advises executive teams on AI visibility and digital transformation as CEO of EWR Digital and founder of modalpoint consultancy.
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