Google AI Mode Reaches 1 Billion Users: What It Means for SEO and AI Visibility

For much of the last two years, businesses could reasonably treat AI search visibility as an emerging addition to their existing SEO strategy. That distinction is becoming increasingly difficult to maintain as Google integrates AI directly into Search and platforms such as ChatGPT, Gemini, Claude, Microsoft Copilot and Perplexity become established research and discovery tools.

The behaviour behind these platforms is also different from traditional search. Someone researching a service provider may previously have made several Google searches and opened multiple websites. Today, they can ask one detailed question, request a comparison and continue the conversation with follow-up prompts. Being discoverable increasingly means being understood, cited and recommended by AI systems as well as ranking highly in conventional search results.

One of the most interesting parts of Google’s announcement is that the company does not believe AI is reducing the amount people search. Google says the opposite is happening. Pichai described AI as creating an “expansionary moment” for Search and said AI Mode is generating an incremental increase in the number of queries people conduct.

That makes sense when considering how people can interact with AI-powered search. Users can ask longer questions, investigate complicated subjects, request comparisons and continue refining their query without starting again. Google also says its AI-powered Search features are sending billions of clicks to websites every week, suggesting the total search ecosystem may continue to grow even as individual search journeys change.

There is, however, another side to the story. Major publishers including Reddit, USA Today, Politico, Reuters, The Economist and People Inc. have reportedly been reconsidering aspects of their relationship with Google as AI-generated search answers become more prominent. Their concern is that publishers provide the information used to answer questions, while increasingly receiving fewer visits in return.

This creates an important tension. Google can increase the total number of searches and still send billions of clicks to websites while individual publishers or businesses experience declining organic traffic. Those outcomes are not mutually exclusive. The search ecosystem can grow while the percentage of searches producing an external click falls, particularly when an AI-generated answer satisfies much of the user’s original question.

For years, SEO performance followed a relatively predictable sequence. Better rankings generally produced more impressions, more impressions created more clicks, and more clicks generated more organic website traffic. AI search is weakening the connection between each stage because users can now receive substantial amounts of information before deciding whether to visit a website.

A business could maintain strong Google rankings while its organic click-through rate declines because an AI Overview answers the query above the traditional results. At the same time, that business could be increasingly cited within Google AI Mode or recommended by ChatGPT. Its website traffic may fall while its overall presence within the customer research journey actually increases. This is why traffic alone is becoming an incomplete measure of search visibility.

None of this means SEO is becoming irrelevant. Google continues to state that the fundamental practices associated with traditional SEO remain important for appearing within its AI-powered search experiences. Strong technical foundations, crawlable pages, useful content, topical relevance, clear site structure and trusted information all help search systems understand a website.

What is changing is the outcome businesses should expect from that work. SEO is no longer only about achieving a particular position within a list of blue links. It increasingly contributes to whether search engines and AI systems can understand what an organisation does, connect it with relevant topics and determine whether its information should be included within an AI-generated response.

Organic rankings, impressions, clicks, click-through rate, conversions and revenue remain essential SEO metrics. Businesses should continue measuring them. However, those figures increasingly need to sit alongside a second layer of AI search visibility data that explains how the organisation appears within generated answers before a user ever reaches its website.

That means monitoring AI mentions, citations, recommendation visibility, prompt coverage and share of voice against competitors. A company might appear when someone searches directly for its brand but disappear entirely when a potential customer asks, “What are the best companies for this service?” Measuring both types of query provides a much clearer indication of whether AI systems genuinely recognise the business within its market.

Google AI Mode reaching 1 billion monthly users reinforces another important point: AI visibility cannot simply mean optimising for ChatGPT. Google AI Mode, AI Overviews, ChatGPT, Gemini, Claude, Microsoft Copilot and Perplexity can use different models, retrieval systems, indexes and sources when answering similar questions.

A business may therefore perform strongly within Google’s AI search experiences but rarely appear in ChatGPT recommendations, or vice versa. The objective should be to build a strong and consistent digital presence that gives multiple search and AI systems enough reliable evidence to understand the organisation. That evidence can come from the website, authoritative third-party coverage, reviews, social profiles, original research, industry publications and expert commentary.

The response does not need to involve abandoning an existing SEO strategy. Businesses should instead widen the way they assess search visibility. At AwarenessAI, we approach this through four stages: Test, Prioritise, Implement and Monitor. First, test the questions customers are actually asking and establish where the organisation currently appears across major AI platforms.

From there, prioritise the commercially important opportunities, implement changes that strengthen the information available about the business and continue monitoring those prompts over time. AI-generated recommendations and citations can change as models, search systems and online sources evolve, which makes continuous measurement increasingly important rather than relying on a one-off AI visibility check.

One billion monthly AI Mode users should remove much of the remaining uncertainty around whether AI-powered search will become mainstream. It already is. Google is reporting increased search activity and billions of outbound clicks, while independent research and publisher experiences continue to raise questions about how frequently those searches translate into traditional website visits.

The result is a new reality for SEO and digital marketing. Traffic and visibility are no longer always the same thing. Businesses still need strong websites, effective SEO and high organic rankings, but they also need to understand whether AI systems recognise, cite and recommend them when potential customers ask the questions that influence purchasing decisions.