Fresh research across 50,000 brands confirms what our team has been telling clients for months: AI visibility is not about domain authority alone — it is won or lost at the topic level. Combined with new data on how AI is reshaping B2B buying decisions and hard lessons from keyword cannibalisation, these findings demand immediate action from any business serious about organic growth in 2025.

Key Takeaways

• Most ChatGPT topics have no dominant brand yet, creating a narrow window for businesses to claim authority before competitors do.
• AI tools are now actively shaping B2B vendor discovery, evaluation, and shortlisting — not just awareness.
• Keyword cannibalisation directly undermines both traditional rankings and AI citations.
• Community-first SEO strategies are delivering measurable AI visibility gains, with one brand achieving 200% growth in AI-referred sessions.
• Rigorous audience research remains the foundation for every effective content and GEO strategy.

Most ChatGPT Topics Are Still Unclaimed — Act Now

A study of 50,000 brands in ChatGPT reveals a striking gap: the majority of topics surfaced by the model have no single brand consistently recommended. This means the land grab is still on. For our clients, we are mapping their core service topics against ChatGPT outputs and building tightly focused content clusters designed to establish topical authority before the window closes.

The practical takeaway is clear. Brands that produce comprehensive, well-structured content around specific topics — not just high-volume keywords — are the ones ChatGPT learns to cite. We are prioritising depth over breadth in every editorial calendar we build right now.

AI Is Steering B2B Purchase Decisions, Not Just Awareness

New survey data from over 600 US business professionals on how AI shapes B2B buying shows that AI tools are influencing every stage of the funnel — from initial vendor discovery through to final purchase decisions. This is not a future trend. It is happening now.

For B2B clients, we are adjusting content strategies to ensure their brand appears in AI-generated shortlists. That means:

• Publishing authoritative comparison and evaluation content that AI models can reference.
• Structuring product and service pages with clear, factual claims AI can parse.
• Building third-party mentions and citations on trusted industry sources.

Keyword Cannibalisation Kills Your AI Citations Too

Keyword cannibalisation has always hurt traditional SEO. Now it damages AI visibility as well. When multiple pages on a site compete for the same query, AI models struggle to identify a single authoritative source, as outlined in this guide to finding, fixing, and preventing keyword cannibalisation.

Our team runs cannibalisation audits as standard practice during quarterly reviews. We consolidate competing pages, implement proper canonical tags, and redirect thin content. The result: cleaner site architecture that both Google and generative AI engines can interpret confidently.

Community-First SEO Delivers 200% Growth in AI-Referred Sessions

Cardmarket’s results speak for themselves. By building an SEO strategy rooted in deep community understanding, they achieved steady organic growth and a 200% increase in AI-referred sessions. Their approach validates what we advocate: know your audience better than anyone, then build content that genuinely serves them.

We apply the same principle. Content that answers real user questions — not content manufactured for algorithms — earns both human trust and AI citations. Every content brief we produce starts with community insight, not keyword volume.

Audience Research Remains the Non-Negotiable Foundation

None of the above works without proper audience research. Understanding who your customers are, what they search for, and how they make decisions underpins every GEO and SEO initiative we run, a process detailed in this breakdown of audience research methods and execution.

We use a combination of first-party data, search intent analysis, and competitor audience mapping to build detailed customer profiles. These profiles inform content strategy, site architecture, and paid media targeting across every client account.

The convergence of generative AI visibility, B2B buying behaviour shifts, and traditional SEO hygiene creates a clear mandate: businesses must invest in topic-level authority, clean site architecture, and genuine audience understanding simultaneously. There is no single lever. Our team is executing across all three for every client, and the brands moving fastest now will hold the advantage as AI-driven search becomes the norm.

Frequently Asked Questions

What is AI visibility and why does it matter for my business?

AI visibility refers to how often and how prominently your brand appears in responses from AI tools like ChatGPT. It matters because a growing number of buyers — especially in B2B — now use AI to discover, evaluate, and shortlist vendors before making purchasing decisions.

How do web designers prevent keyword cannibalisation on client sites?

We audit client sites for overlapping keyword targets, then consolidate competing pages through content merging, canonical tags, and strategic redirects. This gives search engines and AI models a single, authoritative page to reference for each topic.

Why does audience research improve AI Search performance?

Audience research reveals the specific questions and topics your customers care about, allowing you to create content that directly matches their intent. AI models favour this kind of focused, genuinely useful content when generating recommendations and citations.

How can B2B companies appear in AI-generated vendor shortlists?

Publish clear, factual comparison content and ensure your brand is mentioned on trusted third-party sources. AI tools pull from authoritative, well-structured information when compiling vendor recommendations for business buyers.