AI-driven search is no longer a future concern — it is actively reshaping how consumers discover, evaluate, and purchase products right now. This week, a cluster of new research and tooling updates confirms what our team has been telling clients for months: if your brand is not visible inside AI-generated answers, you are losing revenue. Here is what the latest data means and exactly how we are responding across our client portfolio.

Key Takeaways

• 57.5% of consumers who use AI chatbots have been talked out of a purchase by the chatbot’s response.
• 65% of AI users have replaced some product-related Google searches with chatbot queries, making generative engine Optimisation (GEO) essential.
• Brands now need a dedicated AI Brand Visibility Report that pairs AI share of voice with GA4 conversion data.
• Understanding where AI models source their information — training data, live web retrieval, and licensing deals — is the first step to getting cited.
• New tooling, including a rebuilt SEOquake extension and AI-powered competitor analysis workflows, gives our team faster, more accurate audit capabilities.

AI Chatbots Are Actively Steering Consumers Away From Purchases

The headline number is stark. A survey of 2,338 US consumers found that AI chatbots talked 57.5% of AI users out of buying. That is not a marginal effect — it is a majority of the audience. Four in ten users also said they dislike ads served inside chatbot interfaces, which limits paid media as a fallback strategy.

For our clients, the implication is clear. If a chatbot summarises your product category and omits your brand — or worse, highlights a competitor’s strengths — you lose the sale before the prospect ever reaches your website. We are now treating AI chatbot visibility as a core conversion metric, not an experimental channel.

Two-Thirds of AI Users Have Already Shifted Away From Google for Product Research

The same dataset shows 65% of AI users have replaced some product-related Google searches with chatbot queries. This does not mean traditional SEO is dead. It means the funnel has forked. Our team runs parallel strategies:

• Traditional SEO — ranking in Google’s organic results and AI Overviews.
• GEO — structuring content so AI models cite, quote, and recommend our clients’ brands.

Both channels feed revenue. Ignoring either one leaves money on the table.

Tracking AI Visibility Now Requires a Dedicated Reporting Framework

Visibility inside AI answers is meaningless without measurement. We have adopted the approach outlined in Semrush’s guide to creating an AI Brand Visibility Report, which pairs AI share of voice, citation frequency, and sentiment analysis with GA4 conversion data in a single dashboard.

This gives leadership teams a clear, actionable view. We track which AI platforms mention a client’s brand, how often, in what context, and whether that mention correlates with traffic and sales. Without this layer of reporting, GEO efforts are just guesswork.

Getting Cited by AI: Understanding the Source Chain

AI models pull information from three main channels: pre-trained datasets, live web retrieval, and licensing partnerships. Our content strategies now account for all three, a methodology reinforced by Semrush’s breakdown of where AI gets its information and how to get cited.

Practically, this means we ensure client content is structured with clear entity markup, published on authoritative domains, and referenced by third-party sources that AI crawlers trust. Thin, unlinked content rarely gets cited. Depth, accuracy, and topical authority do.

Faster Audits and AI-Driven Competitor Analysis Are Now Standard in Our Workflow

On the tooling side, we have integrated the rebuilt SEOquake Chrome extension into our quick-audit process. It lets our team run page-level SEO checks without leaving the browser — useful for rapid client site reviews and competitor spot-checks.

We are also running structured competitor analysis using AI tools for competitor analysis with Semrush MCP. The step-by-step workflow surfaces competitor content gaps, backlink opportunities, and AI citation patterns faster than manual methods ever could.

The brands that act on GEO now will own the AI-generated answers their customers see in 2025 and beyond. Our team is already building these systems for clients across e-commerce, professional services, and SaaS. The window to establish AI brand visibility before your competitors do is open — but it is narrowing fast.

Frequently Asked Questions

What is Generative Engine Optimisation (GEO)?

GEO is the practice of optimising your brand’s content so it gets cited, quoted, and recommended inside AI-generated answers from tools like ChatGPT, Gemini, and Perplexity. It sits alongside traditional SEO as a distinct channel for driving visibility and revenue.

How do web designers and marketers track AI brand visibility?

You track it by monitoring AI share of voice, citation frequency, and sentiment across major AI platforms, then pairing that data with GA4 conversions. Dedicated reporting templates make it possible to present this to leadership in a single, actionable dashboard.

Why does on-page SEO still matter if consumers are switching to AI chatbots?

AI models frequently pull their live answers from high-ranking, well-structured web pages, so strong on-page SEO directly increases your chances of being cited. Traditional search also still drives the majority of web traffic, meaning you need both channels working together.

How can a small business get cited by AI chatbots?

Focus on publishing accurate, in-depth content with clear entity markup on authoritative domains, and earn references from trusted third-party sources. AI models favour content that demonstrates expertise, is well-linked, and covers a topic comprehensively.