B2B buyers are changing how they evaluate software and services. Over 60 percent now consult tools like ChatGPT and Perplexity to fact-check claims and build shortlists before ever reaching out to a sales team. The classic pattern of clicking through search engine results and downloading gated assets is quietly dissolving into zero-click environments.

We gathered in London for our B2Breakfast to break down what this shift means in practice. James Perrott, our SEO Director at Precis, delivered a keynote on the death of the traditional click. He was joined by a panel of industry leaders: Anna Maikova from Synthflow AI, James Ward from Personio, Vincent Crisol from Lightspeed Commerce, and Leon Sentker from Peec AI.

The conversation reflected a practical reality: search experience optimisation, technical site health, and brand authenticity must work together if you want to remain visible when AI models generate answers for your prospective clients.

The traditional search funnel has collapsed into zero-click discovery

James set the scene by pointing out that discovery is happening directly inside synthetic answer engines. When an AI tool provides a clear, synthesised answer, the user no longer needs to visit a website. This means marketers can no longer rely on web traffic alone as a primary proxy for interest or intent. Securing top rankings in traditional search engines still matters, as ranking first in Google carries a 43.2 percent probability of being cited by ChatGPT. However, the nature of search queries is changing dramatically. Where users once typed three-word phrases into Google, they now feed detailed 20-word prompts into LLM interfaces, requiring a far richer long-tail content strategy.

Growth teams must take ownership of answer engine optimisation

A recurring debate among our panellists was who should own Answer Engine Optimisation (AEO) within an organisation. Vincent Crisol made a strong case for centralising AEO under the growth marketing team while building champions across web development, PR, and communications. Anna Maikova shared how AEO often starts as a grassroots effort, with a single marketer proving value by adding un-gated feedback fields where buyers explicitly credit ChatGPT or Perplexity for their discovery. For smaller marketing setups without enterprise budgets, the underlying logic remains identical. You do not need a massive team to begin; auditing site health to clear 404 errors and publishing transparent brand comparison pages gives LLMs the reliable structured data they need to cite you accurately.

Reverse prompting reveals how language models truly perceive your brand

Understanding how synthetic engines represent your business requires looking at search from the inside out. James Ward described how Personio uses reverse prompting to interrogate LLMs on why they selected specific sources and how they formed their conclusions. This reveals hidden sentiment and optimisation opportunities that traditional analytics tools miss entirely. With ChatGPT commanding roughly 10 percent of the search volume compared to Google, Leon Sentker emphasised that AI environments are quickly becoming the primary trust layer for decision-makers. Failing to monitor what these models ingest from third-party platforms like Reddit leaves your brand perception entirely to chance.

Human authenticity is the ultimate antidote to synthetic content slop

Looking ahead over the next 12 months, the panel agreed that agentic commerce will become standard practice, with buyer AI agents communicating directly with vendor AI agents to evaluate solutions and book demos. As the web becomes flooded with generic, AI-generated content, human authenticity will become your strongest point of differentiation. Large language models crave genuine human insight and clear visual identity, making authentic thought leadership on platforms like LinkedIn essential. Machine-readable technical architecture gets your brand invited to the evaluation, but human perspective ensures you win the deal.

Practical steps to prepare your B2B search strategy for AI tools

  • Audit the external platforms and community forums LLMs cite when summarising your category, and actively participate to shape the sentiment.
  • Implement structured data schema markup across your entire site to ensure AI crawlers can read and parse your core offerings cleanly.
  • Build detailed comparison pages that explicitly contrast your product with competitors, providing LLMs with clear mid-funnel content to reference.
  • Use reverse prompting in tools like ChatGPT to uncover which sources inform its answers about your brand and identify gaps in your positioning.
  • Add open text attribution fields to your lead capture forms to track how many prospects discover your solution through AI engines.

Machine readability will get your business into the AI conversation, but genuine human authority is what turns visibility into revenue.

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