AI search isn't coming. It's already here. Most B2B sites aren't ready.

In 2024, clients started telling us something interesting: they were generating qualified leads from people who "found them on ChatGPT." By mid-2025, this was a consistent theme across every account.

The buyers we're targeting - senior decision-makers at B2B SaaS companies - are using AI assistants as their first research tool. Not Google. ChatGPT, Perplexity, Claude. They form an initial shortlist from AI suggestions, then use Google (and increasingly, Google's own AI Overviews) to validate.

If your brand doesn't appear in AI responses, you're not on the shortlist. You're competing from behind before the conversation has started.

What AI visibility actually requires

This is where most "AEO" (Answer Engine Optimisation) advice goes wrong. The advice is usually: "write FAQ content" or "use structured data." Both are correct and both miss the point.

AI models are trained on the web's authoritative sources. They surface brands and answers that appear consistently across trusted publications, established review sites, social platforms, and properly structured web properties.

To appear in AI answers consistently, you need:

1. Entity authority - the AI needs to know your brand is a real, established entity. This means: Wikipedia-style entity pages, structured data (Schema.org Organization, Person, Service), consistent NAP citations, and brand mentions across authoritative sources.

2. Topical authority - you need to be the established source for answers in your category. Not one good piece of content, but systematic coverage of every entity and topic in your space.

3. Citation footprint - the brand needs to appear in the publications and sources AI models prioritise. For B2B, this means trade press, analyst coverage, industry bodies, and review platforms.

4. Freshness signals - LLMs are being retrained or augmented continuously. Consistent, dated, author-attributed content signals that your brand is active and credible.

Our methodology

The Tier 1 AEO work in the framework targets AI visibility specifically:

- Tracking a defined prompt set (60–100 prompts per client) across ChatGPT, Perplexity, and Google AI Overviews weekly

- Building entity coverage pages that answer the specific questions the tracked prompts address

- Schema.org implementation across every template

- Coordinating with Tier 4 Brand PR to generate the citation footprint AI models reference

For Vibe Retail, this combination took them from zero AI visibility to appearing in responses to six core prompts in eight weeks. One week after the Retail Insider guest post was indexed, they appeared in ChatGPT responses to "what's the best POS system for retail" - a query with significant monthly volume.

What this means for your site

If you're reading this and wondering whether your site is structured for LLM citation, here's a quick self-assessment:

- Does your homepage have JSON-LD structured data for your organisation?

- Does every team member have an author entity page with Schema.org Person markup?

- Are your services described in structured data, not just page copy?

- Do you appear in responses when you type your primary product category into ChatGPT?

- Are you consistently mentioned in third-party sources that AI models treat as authoritative?

If most of these answers are no, you have a gap that's directly suppressing AI visibility. The good news: it's fixable, and the fix compounds across every other part of the framework.