Contents

EN Underline
  1. Executive Summary
  2. Step 1: Audit Your AI Visibility
  3. Step 2: Build Your SEO Foundations
  4. Step 3: Optimise Your Content for AI
  5. Step 4: Become Ubiquitous
  6. Step 5: Prepare for Paid Visibility
  7. Next Steps
  8. Resources Mentioned
  9. In Conclusion
  10. Watch This Next

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Someone in your target market just opened ChatGPT and asked which companies they should work with in your space. Your brand wasn’t in the answer.

Not because you’re not excellent. Not because your website needs work. But because you haven’t built a strategy for the way your customers actually search now.

At Exposure Ninja, we’ve helped brands like The Ordinary consistently get recommended by AI tools. We’ve tracked the traffic. We’ve measured the sales. This article shares the five-step framework we use with enterprise clients — no theory, just what works in practice.

If you’re building your 2026 marketing strategy, this is your AI Search Optimisation roadmap.

Executive Summary

AI tools are now primary research channels for your customers. Most brands have no systematic approach to securing recommendations. That’s your opportunity.

Unlike traditional search, where budgets and domain age determined winners, AI search rewards clarity. The brands that get recommended most clearly define what they’re known for and consistently appear in the right places.

The five-step framework:

  1. Audit your visibility — Get baseline data across platforms, not guesswork from manual testing
  2. Build SEO foundations — Necessary but insufficient on their own
  3. Optimise for AI consumption — Structured, expert-led content that demonstrates first-hand experience
  4. Become ubiquitous — Secure placements on the specific websites AI tools trust
  5. Prepare for paid visibility — Advertising in AI results is already starting

Implement this systematically, and you increase recommendation frequency, driving qualified traffic from the fastest-growing search channel.

Step 1: Audit Your AI Visibility

You need baseline data. How often do AI tools recommend your brand? Which competitors appear more frequently? What queries trigger recommendations?

Skip the rookie approach — manually checking ChatGPT and hoping you’re covering enough ground. You’re sampling a tiny fraction of possible queries with no historical data to measure improvement.

The strategic approach uses tools like Profound* to aggregate recommendation data across platforms. You see your visibility score against your competitors. You identify which topics generate recommendations. You compare how different AI tools perceive your brand.

For example, when we analysed a client’s visibility using Profound, we discovered they were being recommended frequently for one product category but barely appeared for another — despite having strong offerings in both. That insight shaped our entire content strategy for the following quarter.

What to look for in your audit:

  • Visibility score: Your overall recommendation frequency compared to competitors
  • Topic coverage: Which queries generate recommendations for your brand
  • Platform differences: How visibility varies across ChatGPT, Perplexity, Claude, etc.
  • Sentiment analysis: What these tools say about you when they do recommend you
  • Citation sources: Which websites are being referenced when AI tools discuss your space

Tim Cameron-Kitchen, Founder of Exposure Ninja, explains: “Tools like Profound give you much more information and a much bigger picture view about how these AI tools are actually recommending you. You can even see how often each different AI tool is recommending you versus recommending competitors.”

This data becomes your strategic roadmap. You’ll know exactly where you’re strong, where you’re weak, and what needs to change.

Step 2: Build Your SEO Foundations

Here’s what people get wrong: they think AI Search Optimisation is just SEO with a new name. Do good SEO, hope ChatGPT notices, job done.

Wrong. But SEO foundations still matter — a lot.

You might not use Google much anymore. AI tools do.

When ChatGPT or Perplexity generates a response, they run numerous web searches in parallel. They scan dozens or hundreds of websites. If you want recommendations, you need to be discoverable in that research process.

AI can’t cite what it can’t find.

This means you still need:

  • Solid technical SEO: Clean site structure, fast load times, mobile optimisation
  • Schema markup: Structured data that helps AI tools understand your content
  • Strong internal linking: Clear pathways between related content
  • Authority signals: Backlinks from trusted sources that indicate credibility

The Limitations of Traditional SEO

SEO foundations are necessary but insufficient.

Traditional SEO optimises for human behaviour — getting your page ranked so someone clicks through and engages with your content. AI search operates differently. The AI tool does the clicking and reading for the user, then synthesises information from multiple sources.

Your page might rank well, but it will never get recommended if it doesn’t match how AI tools evaluate and cite sources.

That’s why the next three steps in this framework are critical. They address the specific requirements of AI search that traditional SEO doesn’t cover.

For detailed guidance on technical SEO foundations, we’ve covered this extensively in our AI Search Optimisation guide. We also published a book on SEO fundamentals that’s become one of the UK’s best-selling titles on the topic, with over 940 reviews on Amazon.

The key principle: treat SEO as the foundation, not the complete strategy.

Step 3: Optimise Your Content for AI

AI tools ignore generic information. They can generate that themselves. What they need from you is what they can’t produce: first-hand experience, specific expertise, original insights.

The Query Fan-Out Approach

When an AI tool processes “What’s the best project management software?“, it’s simultaneously searching for:

  • Best project management tools 2026
  • Top project management software for teams
  • Project management software comparison
  • Most popular project management platforms
  • Project management tools for [specific use cases]

One user question triggers dozens of background searches. This is query fan-out.

Your strategic response: Create content that targets multiple variations of the core query. Give yourself multiple chances to be discovered and cited in the same AI response.

Tim explains: “When we’re designing content strategies for clients, we reverse engineer what’s known as a query fan-out approach. What we need to do when we’re structuring our content is look at the types of background searches that it’s running, and make sure we’ve got content that targets each of these.”

Content Formats AI Tools Prefer

Different AI platforms cite different types of content. This is where tools like Profound become invaluable again — you can analyse which content formats appear most frequently in citations for your industry.

Generally, AI tools favour:

Well-researched, detailed articles that demonstrate clear expertise and methodology. Not thin content. Not keyword-stuffed pages. Comprehensive guides that show you understand the topic deeply.

Structured information with clear headings, bullet points, and logical flow. AI tools need to extract specific facts and recommendations quickly.

Expert attribution showing who created the content and their credentials. Financial content from certified advisors. Medical information from healthcare professionals. Technical guidance from practitioners with relevant experience.

Statistical data and specific examples. Concrete numbers, case studies, and real-world applications get cited far more frequently than general claims.

First-hand experience and original insights. This is what separates your content from generic information AI could generate itself.

The Profound Citation Analysis Method

Here’s how we use this in practice.

We look at a client’s industry in Profound* and examine the top citation pages — the specific articles AI tools reference most frequently. We analyse the format, structure, depth and attribution of this content.

For example, when analysing the asset management space, we discovered that AI tools consistently cite detailed comparison articles from sites like NerdWallet, Bankrate and Investopedia. These articles share common characteristics: extensive research, clear methodology explanations, expert authorship, and comprehensive coverage of options.

If we wanted a financial services client to get cited more frequently, we’d need to produce content matching or exceeding that standard. Not because we’re copying competitors, but because we’re matching the quality threshold AI tools require.

Platform-Specific Preferences

ChatGPT is more willing to cite brand websites directly. Perplexity shows a strong preference for third-party sources and rarely recommends based solely on a company’s own content.

This doesn’t mean you should ignore your own website content. It means you need a multi-channel strategy — which brings us to step four.

Step 4: Become Ubiquitous

Traditional search was about ranking your website. AI search is about getting your brand mentioned everywhere that matters.

The shift: from “How do I get people to visit my site?” to “How do I ensure my brand appears in the sources that influence recommendations?”

Understanding Citation Patterns

When you analyse AI citations in your industry, patterns emerge. Certain websites appear repeatedly. Certain publications get referenced constantly.

For B2B software: G2, Capterra, TrustRadius. For consumer electronics: CNET, TechRadar, Tom’s Guide. For financial services: Forbes, The Motley Fool, specialist finance publications.

These are your targets.

The Digital PR Approach

At Exposure Ninja, we secure placements through strategic digital PR — reaching out to the journalists and editors responsible for the articles AI tools cite most frequently.

Many of these articles are “best of” lists or comprehensive guides that get updated regularly. “Best Project Management Software for 2026” or “Top Financial Advisors in London” or “Best Value Skincare Brands.”

The writers update these articles periodically. That’s your opportunity.

We identify the journalist, review their previous work, and reach out with a compelling reason why our client should be included in the next update. This isn’t about buying links or gaming the system. It’s about ensuring great products and services get appropriate recognition in publications that matter.

Concept Association: The Ordinary Case Study

Placement alone isn’t enough. You need clarity about what you want to be known for.

We worked with The Ordinary to improve their AI search visibility. They’d built a reputation for good-value, scientifically backed skincare. Our strategy: reinforce these concepts everywhere The Ordinary was discussed.

Every product review. Every feature article. Every press release. The same core concepts: good value, scientifically backed.

Tim Cameron-Kitchen explains: “By relentlessly talking about The Ordinary as a great value skincare brand across the internet, everywhere The Ordinary is talked about, you can really influence the AI tools so that when they hear good value skincare brand, they go, ah, The Ordinary.”

Results: Ask Perplexity “What’s the best good value skincare brand?” — it recommends The Ordinary. Ask AI Mode — same answer.

This works because AI tools build associations through repeated exposure across trusted sources. The more consistently concepts appear together, the stronger the connection.

Defining Your Core Concepts

Many brands haven’t done this foundational work. They haven’t clearly articulated the 3-5 concepts they want to be known for.

When we start working with a client on AI Search Optimisation, one of our first workshops focuses on concept identification:

  • What do we want to be the go-to brand for?
  • What specific attributes distinguish us from competitors?
  • How can we communicate these concepts consistently across all content?

This isn’t traditional brand positioning work (though it’s related). It’s identifying the specific search concepts that should trigger your brand recommendation.

Why This Creates Opportunity

Traditional search favoured whoever had the deepest pockets and the oldest domain. AI search favours whoever’s clearest about what they stand for.

A smaller business with sharp positioning can outperform a larger competitor with diffuse messaging.

The brands AI tools recommend aren’t always the biggest. They’re the ones most clearly associated with the concepts users are searching for.

Step 5: Prepare for Paid Visibility

Advertising is coming to AI search results. It’s already starting.

Google’s testing ads within AI Overviews and AI Mode, blending paid placements with organic recommendations. This will accelerate.

How AI Search Advertising Differs

Traditional search advertising targeted keywords. You knew the exact query and bid accordingly.

AI search is messier. Users ask questions in natural language. Queries are longer, more conversational, highly variable. You can’t bid on “project management software” and cover everything relevant.

Your paid strategy needs to:

Embrace dynamic targeting. Tools like Google’s Performance Max campaigns and Dynamic Search Ads become more important because they adapt to varied query patterns.

Accept less control over specific queries. You’re targeting intents and concepts more than exact keywords.

Prioritise conversion tracking and data feedback. AI advertising platforms need clear signals about what constitutes a valuable conversion. The more accurate your tracking, the better these systems perform.

Strategic Preparation

Even if you’re not ready to advertise in AI search results today, you should prepare your foundation:

Ensure your Google Ads account has robust conversion tracking. These signals will feed AI advertising systems.

Experiment with Performance Max campaigns to understand how AI-driven advertising performs for your business.

Build first-party data assets that help advertising platforms understand your ideal customer.

Monitor the competitive landscape. Who’s already advertising in AI search results in your space? What messaging are they using?

The Integration Point

Paid visibility doesn’t replace organic AI Search Optimisation. It complements it.

The strongest position is being both the organic recommendation and having a relevant paid placement. This creates multiple touchpoints and reinforces brand authority.

But paid visibility is meaningless without the organic foundation. If your brand isn’t being mentioned in trusted sources and cited by AI tools organically, a paid placement won’t convert effectively.

Build the foundation first. Layer paid visibility on top as the opportunity emerges.

Next Steps

Your AI Search Optimisation strategy should align with your current capabilities and resources. Here’s how to prioritise implementation:

This Week

Run your visibility audit. Sign up for a tool like Profound* and get baseline data on your current AI recommendation frequency. Download our AI search optimisation audit template to structure your findings.

Identify your core concepts. Run a workshop with your marketing team to define the 3-5 concepts you want your brand associated with in AI recommendations.

Analyse citation patterns in your industry. Research which websites AI tools cite most frequently for queries relevant to your business.

Next 30 Days

Conduct a technical SEO audit. Ensure your site foundations are solid. Use our AI search strategy checklist to identify gaps.

Map your content to query fan-out variations. List your core target queries and identify the background searches AI tools likely run. Create a content plan addressing these variations.

Begin digital PR outreach. Identify three high-priority publications where your brand should be featured and start relationship building with relevant journalists.

Next 90 Days

Publish your first wave of AI-optimised content. Create comprehensive, expert-led articles that demonstrate first-hand experience and include structured data.

Secure your first strategic placements. Get featured in at least one high-authority publication that AI tools cite frequently in your industry.

Establish monitoring systems. Set up regular tracking of your AI visibility scores and citation frequency to measure improvement.

Review emerging paid opportunities. Monitor how advertising in AI search results evolves and plan your approach.

When You Need Support

Building an effective AI Search Optimisation strategy requires expertise across multiple disciplines: technical SEO, content strategy, digital PR, and data analysis.

At Exposure Ninja, we’ve developed this capability through hundreds of client projects across diverse industries. If you’d like support implementing any part of this framework, request a marketing review from our team. We’ll analyse your current visibility and map out a prioritised action plan for the next 6-12 months.

Resources Mentioned

Tools:

Exposure Ninja Guides:

Client Case Studies:

In Conclusion

AI Search represents the biggest shift in customer discovery since Google’s original algorithm revolutionised the industry two decades ago.

The businesses that will dominate aren’t necessarily the largest or most established. They’re the ones building systematic strategies now, whilst their competitors are still figuring out whether this matters.

This five-step framework — audit, SEO foundations, content optimisation, ubiquity, paid preparation — gives you the roadmap. Each step compounds the previous one.

The opportunity window is open. Most marketing leaders recognise AI search matters but haven’t built structured approaches yet. That’s your advantage.

Start with the audit. Get baseline data. Work through each step methodically.

The brands being recommended six months from now are already starting to build their strategy today.

Watch This Next

AI Search needs to be a crucial part of your marketing strategy for 2026, but you need to find the right marketing strategy that helps your brand to scale and grow.

We’ve picked the best digital marketing strategies for 2026 for you to copy directly, based on our most effective traffic and lead-generation client campaigns.

*Disclaimer: Exposure Ninja may get a commission through the marked links above, at no cost to you