The Shift from Search Engines to Answer Engines

Search behaviour is no longer Google-first

The clearest change is behavioural. Users are no longer starting every query on Google.

Recent research shows that Google’s share of general information searches dropped from 73 % to 66.9 % in just six months during 2025, one of the sharpest declines in its history (Stan Ventures). At the same time, ChatGPT’s share of those queries nearly tripled from 4.1 % to 12.5 %.

This is not just a shift in platform. It is a shift in mindset.

Users are now choosing tools based on intent

• ChatGPT and Claude for explanations, summaries and decision-making

• Perplexity for cited answers and research-style queries

• Google for navigation, local search and real-time updates

• TikTok and Instagram for discovery and recommendations

This multi-platform behaviour means search is no longer linear. It is distributed.

AI search is scaling faster than traditional search ever did

The speed of adoption is significant.

ChatGPT reached over 100 million users in two months, making it one of the fastest-growing consumer applications in history (UBS via Reuters). Since then, usage has scaled dramatically, with billions of prompts processed daily across AI systems.

Across the category, AI search tools now have over 1 billion monthly users collectively, reflecting a shift from experimentation to habitual use (Wix AI Search Report).

Traffic patterns are shifting alongside this growth

• AI-referred website sessions increased by over 500 % in 2025 (BrightEdge)

• AI search audiences more than doubled year on year (Wix)

• Daily AI usage has significantly increased, indicating repeat behaviour rather than one-off use (Stan Ventures)

At the same time, Google still dominates in volume, handling the vast majority of global search queries.

This is not a takeover. It is a redistribution of attention.

The rise of zero-click behaviour is accelerating

One of the most important shifts for SEO is not where people search, but whether they click at all.

AI has accelerated a trend that Google had already begun.

According to a SparkToro study, nearly 60 % of Google searches now end without a click. Users are increasingly getting answers directly within search results.

With AI-generated summaries now embedded into search results, this behaviour is intensifying. Early data suggests that when AI-generated answers appear, click-through rates to organic listings decline significantly (BrightEdge).

AI-native platforms take this further by collapsing the journey into a single response. Instead of comparing multiple sources, users accept a synthesised answer.

For SEO, this fundamentally changes the value of ranking. Visibility no longer guarantees traffic.

SEO is evolving into something broader

Traditional SEO was built around ranking web pages.

AI search introduces a different model. Instead of ranking links, it selects and synthesises information. This has led to the emergence of new frameworks such as generative engine optimisation and answer engine optimisation.

Research from arXiv indicates that AI systems prioritise authoritative, well-structured and frequently cited sources when generating responses.

This has several implications

• Authority is now distributed across mentions, not just domains

• Content must be structured for extraction, not just readability

• Brand visibility depends on being cited, not just ranked

At the same time, Google is integrating AI directly into its own search experience through features such as AI-generated summaries and conversational search.

SEO is no longer just about Google. It is about presence across an ecosystem of answer engines.

The shift is not equal across industries

The impact of AI search varies significantly depending on the sector.

Information-heavy industries

Sectors such as healthcare, finance and education are seeing the fastest shift. AI is well suited to summarising complex topics, and in some cases, over half of informational queries are now being answered directly within AI interfaces (arXiv).

B2B and high-consideration purchases

AI is increasingly embedded in research behaviour.

According to Gartner, 80 % of B2B sales interactions are expected to occur in digital channels, with AI playing a growing role in early-stage research.

This compresses the discovery phase and reduces opportunities for traditional SEO touchpoints.

E-commerce and consumer brands

AI plays a growing role in product discovery.

A Salesforce report found that a significant portion of consumers are now using AI tools to research products, and are more likely to trust AI-assisted recommendations.

However, Google and social platforms still dominate transactional and visual discovery journeys.

Local and real-time search

Google remains dominant here. AI tools are less effective for location-based queries, live updates and immediate intent.

This means the shift is uneven. Some industries are already operating in an AI-first discovery environment, while others remain search-led.

A generational shift is driving adoption

Younger users are accelerating the change.

According to Forrester, Gen Z users are significantly more likely to use alternative platforms, including AI tools and social media, as primary discovery channels.

This reflects a different expectation

• faster answers

• less friction

• no need to compare sources

As this cohort becomes the dominant consumer and decision-maker, these behaviours will become standard.

What this means for SEO moving forward

SEO is not disappearing, but its role is changing.

The focus is shifting from driving clicks to ensuring inclusion in answers.

In practical terms, this means

• building authority across multiple platforms, not just your own website

• creating content that can be easily extracted and cited

• prioritising clarity, structure and factual accuracy

• investing in brand visibility beyond search results

It also means accepting that some traffic loss is structural, not fixable.