Capitalise on AI Search Whitespaces to Establish Category Dominance

AI search doesn’t work like keyword search. Buyers don’t type queries, they have conversations with AI Search interface.

Brands that model those multi-turn paths, find the gaps where they’re absent, and then fill these whitespaces with helpful content will dominate the new discovery layer.

This is the discipline of Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO): earning visibility inside AI-generated answers across ChatGPT, Perplexity, Claude, and Google AI Overviews, rather than ranking on a page of links.

Buyers don’t search anymore. They converse.

In the era of keyword search, a buyer’s journey was linear and legible. They typed a phrase, scanned ten blue links, and clicked through. Brand visibility was a function of rankings with a goal own the top three results, and you owned a meaningful share of attention.

Buyers using ChatGPT, Perplexity, Claude, or Google AI Overviews don’t type queries. They have conversations. A session might start with a broad, exploratory question:

“what’s the best way to manage remote team documentation?”

followed by:

“which can support multiple languages and has API document in Japanese and Chinese”

and, over four or five follow-up turns, narrow to a highly specific, purchase-ready conclusion:

“okay, which of these tools has the best Notion integration and SOC 2 compliance?”

Each turn in that conversation is a separate moment where a brand can be cited, recommended, or ignored entirely. And here is the uncomfortable truth most marketing teams haven’t yet absorbed: your brand’s presence at turn one tells you almost nothing about your presence at turn four.

A brand can be visible at the top of a conversation and completely absent by the moment a buyer is ready to decide.

Model the conversation before your buyer does

The strategic response is deceptively simple: simulate the conversations your ideal buyers are having with AI search engines, mapping every likely turn in those paths, and then identify systematically where your brand appears Vs. where it doesn’t.

This is conversation mapping for AEO and GEO. It treats AI search not as a search engine to rank in, but as a conversational agent to appear within, across the full arc of how a buyer thinks through a problem. The goal is to discover the whitespace: the specific conversation turns where your category is active but your brand is absent.

Define the conversation universe

Start by identifying all the ways a buyer might begin a conversation about the problem your product solves. These are the “seed prompts” which are broad, intent-agnostic questions that represent the entry points into your category. Cast the net wide; buyers rarely start where you expect them to.

• e.g. “How do teams collaborate on documents remotely?”

Simulate multi-turn paths systematically

From each seed prompt, model the realistic follow-up turns a buyer would take by drilling into features, comparing options, asking about use cases, pricing, integrations, and proof points. Each branch represents a distinct conversation path with its own citation landscape.

• e.g. Turn 3: “Which of these has built-in version control for legal teams?”

Record brand presence at every node

For each turn in each simulated conversation, record which brands are cited, in what context, and with what sentiment. This produces a presence map of where you appear, where competitors appear, and where the AI is simply guessing because no strong source exists.

• e.g. Brand cited at Turn 1 (70% of paths), absent from Turn 3 onward

Identify and score whitespace

Whitespace is any conversation node where buyer intent is present but your brand is not. Score whitespace by intent intensity; a gap at a high-intent, late-funnel turn (e.g. “which tool is best for enterprise security compliance?”) is worth far more than a gap at an early informational turn.

• e.g. “Best document tool with HIPAA compliance”: 0% brand presence, high intent

Map whitespace to content opportunities

Each scored whitespace becomes a content brief. The goal is to create authoritative, helpful content that AI engines can cite when answering those specific conversation turns, anchoring your brand in the moments that precede buying decisions.

• e.g. “The Complete Guide to HIPAA-Compliant Document Management”

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Call to Action:

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