5 Pillars for Winning in AI Search - Daniel Liddle (Senior SEO Director at iCrossing)
Most brands are asking how to rank in AI search. That's the wrong question. The right one is why an AI would surface them at all. Five pillars for brands worth surfacing, beyond optimisation theatre. From BrightonSEO, May 2026.
thinking starts from the wrong question. What determines whether AI systems surface your brand. How to change in a way that protects budget. iCrossing Proprietary and Confidential I 4 What we’ll cover today
thinking starts from the wrong question. What determines whether AI systems surface your brand. How to change in a way that protects budget. iCrossing Proprietary and Confidential I 5 What we’ll cover today
thinking starts from the wrong question. What determines whether AI systems surface your brand. How to change in a way that protects budget. iCrossing Proprietary and Confidential I 15 What we’ll cover today
optimised for the same thing. We have a need The system finds us the best answer The best answer comes from a credible source That source gets surfaced We are satisfied with the experience The Signal
User-first Answers genuine questions Adds something the web doesn't already have Earning Trust Consistent credibility built over time Credible to people who know the subject Being Findable Technically accessible to any discovery system The Signal
thinking starts from the wrong question. What determines whether AI systems surface your brand. How to change in a way that protects budget. iCrossing Proprietary and Confidential I 26 What we’ll cover today
right now are winning on frameworks and judgment, not stack size. • €1.5 billion has been invested in SEO and AI visibility tools. None of it tells you what to think. • We are too early in this cycle for efficiency to be a differentiator. Thinking is the differentiator. • Automation aggregates the average. In an emerging channel, average is invisible. • The race to automate is a race to sameness. The opportunity is still in the ideas. Tools are not the strategy The Value
approach to understand search Audience Insight Authority Mapping Visibility Analysis Authority Gaps Strategy Measurement & Learning Authority* is built by aligning audience needs, value, competitive context and AI mediated-visibility into one connected strategy Define who we need to influence & why Understand who has authority in the category Assess brand presence across systems Identify priority gaps in expertise, trust and validation Define priority moves across direct, indirect and influenceable channels Track movement and refine *Authority = The ability to change user behaviour The Value
Established Leading 1. Do we have more expertise on this topic than anyone publishing about it? Content mirrors what already ranks, no original knowledge Some first-hand experience referenced, not substantiated Content built on owned data, research or direct expertise others can't replicate Externally recognised as the go- to source on this topic, cited without prompting 2. Does our content on this topic actually change what people do next? Users read and leave, no onward behaviour Some click-through or return visits but no commercial signal Content demonstrably influences decisions at this stage of the journey Attributable behaviour change, users act differently after engaging with this content 3. Is our position on this topic consistent across every surface an AI might learn from? Only exists on owned web pages Mentioned occasionally in press or social, no coherent narrative Reviews, forums, third-party references reinforce the same position Active presence across all influenceable channels, monitored and managed 4. Can any discovery system actually find and read what we've published on this topic? Rendering issues, thin structure, poor entity signals Indexable but no structured data or entity clarity Schema in place, topic cluster structured, tested across crawlers Optimised for AI agent retrieval, regular technical gap analysis per topic 5. Can we prove this content is contributing value on this topic specifically? No measurement beyond rankings Traffic visible but not connected to outcomes Commercial attribution in place for this topic area Dark traffic accounted for, retrieval monitored, impact reportable at topic level Find what value you can add to search for a topic The Value