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AI Visibility
July 17, 2026
Updated July 17, 2026
10 minutes
Author: Sergei Semjonov, Founder of RECOMO

AI Insights
Key takeaway
AI search is growing significantly faster than traditional search engines, yet it still holds only a small market share. We examine three development scenarios through 2031 and explore how evolving user habits will reshape SEO and digital marketing.
Read time
10 minutes
Category
AI Visibility
Publication date
July 17, 2026
Last updated
July 17, 2026
Just a few years ago, searching for information almost always started with Google, Yandex, or Bing. Today, users have an alternative: instead of browsing a list of links, they can ask ChatGPT, Gemini, or Perplexity and get an immediate answer.
AI search is growing significantly faster than traditional search engines. Does this mean conventional search engines will disappear in five years? The short answer is no. However, the search experience itself will change drastically.
Current Market Distribution
As of 2026, classical search engines still handle the vast majority of search queries:
traditional search engines: approximately 97–99%;
standalone AI search engines and assistants: around 1–3%.
A 98% to 2% ratio can be taken as the baseline for forecasting.
At first glance, AI's market share seems negligible. However, the pace of change is significant. The use of generative AI platforms is growing by about 50–80% annually, while traditional search volume increases by only a few percent.
At the same time, comparing all user prompts in ChatGPT directly to Google queries is inaccurate. People use AI not only for information retrieval, but also for copywriting, programming, document analysis, translation, and various other tasks. Therefore, AI search market share should include only those requests that genuinely replace standard search queries.
Forecast Through 2031
Assuming AI search growth gradually slows as the market matures, the baseline forecast is as follows:
Year | Traditional Search Engines | AI Search Engines |
|---|---|---|
2026 | 98% | 2% |
2027 | 97% | 3% |
2028 | 96% | 4% |
2029 | 94% | 6% |
2030 | 93% | 7% |
2031 | 90–91% | 9–10% |
Thus, by 2031, standalone AI services could handle approximately one in ten search queries, while traditional search engines will retain about 90% of the market.
This forecast specifically addresses query volume. The distribution of ad revenue, user engagement time, or website traffic referrals may look very different.
Three Possible Scenarios
The future of the market depends on AI response quality, compute costs, user trust, and moves by Google, Microsoft, and other major players.
Scenario for 2031 | Traditional Search | AI Search |
|---|---|---|
Conservative | 94–95% | 5–6% |
Baseline | 89–91% | 9–11% |
Aggressive | 80–85% | 15–20% |
The conservative scenario will unfold if AI adoption slows due to hallucinations, high infrastructure costs, or regulatory constraints.
The baseline scenario assumes steady AI growth that gradually moderates as the market reaches saturation.
The aggressive scenario will occur if AI assistants become the primary web interface, reliably handling both informational and commercial tasks: product recommendations, bookings, service comparisons, and checkout.
Defining AI Search: The Core Challenge
Separating the market into "standard search" and "AI search" is increasingly difficult. Google already displays AI-generated overviews above organic results and is expanding AI Mode. Bing integrates conversational search, and other platforms are following suit.
For example, if a user submits a query on Google and receives a complete AI-generated answer without clicking any links, the query technically remained within a traditional engine, but the user effectively used AI search.
Factoring in such hybrid scenarios, artificial intelligence could power 30–50% of all search sessions by 2031, with a substantial portion still flowing through Google, Bing, and other established platforms.
Consequently, AI will likely transform the search format faster than it will displace incumbent search providers.
Why Users Are Adopting AI
The main advantage of AI search is delivering direct results instead of a list of sources. Users can submit complex queries, clarify constraints, and follow up interactively without starting each query from scratch.
For instance, a standard search engine returns links for "where to travel in October." An AI assistant can instantly factor in budget, trip length, party size, climate preferences, and visa requirements to generate a complete itinerary.
However, traditional search still maintains key strengths:
fast execution for simple queries;
straightforward navigation to specific websites and pages;
direct access to breaking news and primary sources;
well-established commercial infrastructure;
the ability to independently compare diverse viewpoints.
Furthermore, AI models can hallucinate and do not always provide transparent source attribution. As a result, verifying primary sources remains critical for news, healthcare, financial, and legal matters.
What This Means for Business
Companies can no longer rely solely on conventional SEO. Websites must be clear not only to search crawlers, but also to AI systems that synthesize final answers from multiple sources.
In practice, businesses must:
publish comprehensive, well-structured content;
provide clear, direct answers to customer questions;
support factual claims with verifiable data and authoritative sources;
build brand authority across external platforms beyond their own website;
monitor how the brand is cited in AI-generated answers;
combine standard SEO with generative engine optimization (GEO).
Expertise and brand reputation are becoming critical. When an AI generates a single synthesized response instead of ten blue links, competing to be featured in that answer can be even more demanding than ranking on page one of search results.
Will Traditional Search Engines Disappear?
Over the next five years, almost certainly not. Google and other incumbent platforms have massive audiences, global infrastructure, comprehensive web indexes, and mature advertising ecosystems. Moreover, they are aggressively embedding generative AI into their own products.
Instead of one technology replacing the other, they are converging. The search engine of the future will simultaneously locate primary sources, generate concise summaries, refine user intent, and assist with immediate next steps.
By 2031, standalone AI engines may capture around 10% of total query volume, potentially reaching 15–20% under rapid growth. More importantly, AI will power a much larger share of search activity directly within established platforms.
The defining shift of the coming years is not where users enter their query, but what they receive in return. The era of the blue link list is steadily giving way to the era of direct solutions.
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