Search Trends 2026: AI, Google, Social Media and the LLM Market Share

AI Grows, Google Stays: Usage Data 2026 Shows the Future of Search

AI is changing digital search at high speed.

In Germany, Google remains the most important access point to digital demand. At the same time, AI grows faster than any other digital channel analyzed.

The AI market itself is shifting as well. ChatGPT stays large but loses market share. Gemini gains significantly. Claude matters more in professional contexts.

Other systems occupy roles of their own.

This article shows what this means for digital visibility. It combines two perspectives: internet usage in Germany and the LLM market share of the leading large language models.

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Contents

TL;DR

  • AI grows fastest: Among digital services, AI shows the strongest growth.
  • Google stays central: The internet and Google remain the largest spaces for digital usage and demand.
  • AI reaches platform scale: AI is already on the scale of established platforms such as Facebook and TikTok and keeps growing exponentially.
  • The AI market fragments: ChatGPT stays large but loses relative dominance. Gemini visibly gains share. Claude, Perplexity, Copilot, Meta AI, DeepSeek and Grok occupy niches of their own.
  • AI search has arrived: 50 percent of internet users in Germany use AI chats instead of classic search engines at least occasionally. 73 percent rate AI results as helpful.
  • The consequence: Visibility spreads across rankings, clicks, AI answers, sources, platforms and external mentions.

AI Grows Fastest, Google Stays the Market Leader

Chart "Rise of AI": internet usage and the projected steep growth of AI usage in Germany until 2030. A red line marks "Now" (July 2026).

Data Basis and Validity of the Chart

The digitalagenten chart is based on publicly available market and usage data on digital usage in Germany. For social media, it mainly uses the user numbers from datenbasiert.de. WhatsApp figures are supplemented by data from Chatarmin. For AI usage, it includes publicly reported analyses by CHIP, citing Datapods.The values serve to classify orders of magnitude. One user can be active in several services and is counted in each of them. Anyone who uses WhatsApp, Google, Instagram and ChatGPT appears in several curves.The chart is therefore neither an additive market comparison nor a pure search engine comparison. It shows which digital spaces matter in everyday life and where usage grows fastest.For AI, German usage data on AI applications and publicly reported market developments for services such as ChatGPT, Gemini and other AI systems were included. Forecast values are an extrapolation of the observed trend and should be read as estimates, not as verified measurements.

AI Shows the Strongest Growth Dynamics

All digital channels analyzed remain relevant. The strongest movement is in AI. Free AI services grow particularly fast and already reach the scale of established platforms.According to the data, AI today is roughly on the level of Facebook and above TikTok. In the extrapolation, AI approaches the reach of Instagram.Paid AI services and professional AI applications such as coding assistants or agents grow more slowly, but also significantly.The chart contradicts the “Google is disappearing” narrative. It shows AI as an additional information space that is gaining importance fast.

The Internet Remains the Largest Digital Space

The internet curve forms the envelope for all other channels analyzed. Anyone who uses Google, WhatsApp, Instagram, TikTok or AI services needs internet access first.The internet curve therefore describes the maximum usage potential. It shows the total size of the digital space in which search, platforms and AI take place.

Google Remains the Leading Search Engine in Germany

Visibility on Google remains central for companies in Germany. Google still clearly leads the search engine market. Depending on the source, its share in Germany is around 80 percent.This makes SEO the foundation of digital visibility. Companies that cannot be found on Google lose the (still) most important access to existing demand.At the same time, Google itself is changing search. AI Overviews bring AI answers directly into the search results. Users see summaries, sources and first assessments more often, before they click on a website.For companies, this creates a dual task: secure classic Google visibility and understand how AI-powered search results pick up content.

AI Becomes Part of Everyday Information Search

The strong rise in AI usage adds another layer of visibility to digital information search.

In the classic SEO view, the path was largely shaped by Google and the website:

Classic funnel

Need arises → Google search → results list → website click → vendor evaluation → inquiry

This path remains important. Google remains the central access point to existing demand. Social media, reviews and comparison content continue to shape decisions as well.

The main change: AI becomes part of everyday information search.

Users ask questions in AI chats, see AI Overviews in Google or receive summarized answers before they read up on a website.

Extended funnel

Need arises → Google, social media or AI → search result, AI answer, impression and first assessment → website or direct contact → inquiry

AI bundles information from various sources and delivers it as an answer on its own platform.

The target group more often sees AI answers, reviews, social media content or external mentions first, before visiting a website.

AI Chat Usage in Germany: 50 Percent Already Use AI Instead of Classic Search

Current figures from Bitkom and other institutes show how far AI has already arrived in information search:
UsersBehavior
50 percentuse AI chats instead of classic search at least occasionally
34 percentuse AI applications at least weekly
15 percentuse AI daily
24 percentuse AI less than once a week
73 percentrate results from AI chats as helpful

The strong (projected) rise in the chart matches a behavior that has already started in Germany.

According to a Bitkom study, 81 percent of companies and 67 percent of the population regard AI as an important technology of the future.

Almost ⅓ of companies plan higher investments in AI technology than in the previous year (2025).

The website click does not disappear completely. It comes later or from an already pre-shaped information situation. Brands that become visible at this stage and shape the assessment positively are ahead of the benchmark.

LLM Market Share: ChatGPT Loses Dominance, Gemini Grows Strongly and the Market Fragments

The second chart by Philipp Klöckner shifts the focus from general internet usage to the composition of the AI market. It shows how the LLM market share of the leading systems has changed since 2023.

Chart: LLM market share 2023 to 2026. ChatGPT loses share to Google Gemini, Claude, DeepSeek and others.
Source: Philipp Klöckner on Google’s AI advantages (LinkedIn)

Stacked Area Chart: Relative Market Shares, No Absolute User Numbers

The chart is a stacked area chart. Together, the areas always add up to 100 percent. It shows which provider holds which share within the AI systems analyzed.Important: the chart shows relative market shares, no absolute user numbers. When the Gemini area grows, Gemini gains share within the AI systems analyzed.This does not automatically indicate how strongly absolute usage has grown.

ChatGPT Remains Important but Loses Its Early Exclusivity

ChatGPT shaped the mass market for AI search, especially at the beginning. In the chart, ChatGPT still holds the largest share among the AI systems analyzed.At the same time, the distribution is shifting. Other systems visibly gain share, above all Gemini. This does not automatically mean that ChatGPT shrinks in absolute terms. It means: the AI market is getting broader.This matters for GEO: AI visibility requires more than ChatGPT optimization. Content can be picked up, processed and delivered as an answer by different systems.

Gemini Grows Through Google's Existing Reach

Gemini grows well beyond its own app. Google can integrate AI directly into existing products and usage situations: Search, Android, Chrome, Gmail, Maps, YouTube and other services.This makes Gemini strategically relevant. Users do not need to actively look for a new channel when AI features appear in familiar Google products.For companies, this means: Google stays central because Google itself brings AI into its products. SEO, Google visibility and AI visibility move closer together.

Claude Is Particularly Relevant for Professional Use and B2B

Claude is far from being the largest consumer channel. In professional contexts, however, the system keeps gaining importance: for example in B2B, API usage, analysis tasks, content processes, development and enterprise workflows.For companies, reach alone does not decide. The context in which an AI system is used matters as well.Especially for complex services, B2B decisions and internal workflows, smaller systems can play an important role. Brands that appear there have a higher chance of reaching B2B customers.

Perplexity, Copilot, Meta AI, DeepSeek and Grok Occupy Roles of Their Own

Beyond ChatGPT, Gemini and Claude, further AI access points emerge. Each covers different parts of information search.Their market shares are partly much smaller, so they are not equally relevant for every company. They do show how AI search differentiates by function: research, work context, social media, real-time discourse and technical adoption.

Perplexity: Research and Source Work

Perplexity stands for research-oriented search. The system is particularly relevant when users compare sources, evaluate vendors or want to understand complex topics quickly.

This mainly concerns B2B, consulting, software, finance, health, law, education and other fields where trust, evidence and expert assessment matter.

Microsoft Copilot: Search in the Work Context

Microsoft Copilot extends search into the work and decision context. Depending on usage, the system can include web information, work data, files, emails, meetings, presentations or spreadsheets.

AI-powered information search therefore also takes place where decisions are prepared, documented and shared.

This becomes relevant above all for B2B, enterprise, SaaS, industry and professional services.

Meta AI: AI in Social Media and Messengers

Meta AI brings AI closer to social media and messengers. When AI features appear in WhatsApp, Instagram, Facebook or Messenger, information search connects more strongly with communication, recommendations, content consumption and community signals.For B2C, local businesses, retail, health, travel, events, lifestyle and multi-location companies, this becomes relevant when target groups actively search, ask or seek recommendations there.

DeepSeek: Efficiency Pressure on the AI Market

DeepSeek stands for technically oriented AI usage rather than broad consumer search in Germany. The model is relevant mainly for programming, data analysis, technical research, automation and model comparisons.For tech, SaaS, developer communities, industry and data-driven B2B topics, DeepSeek shows that AI search is also moving into specialized expert contexts.

Grok: Real-Time Discourse Along the Public Debate

Grok is relevant mainly where search is close to real-time discourse, opinions and public debates. Through its proximity to X, Grok can pick up topics that develop through current posts, trends and discussions.

This particularly affects PR, media, tech, finance, entertainment, social debates and brands whose perception is strongly shaped by public discussion.

The AI market is growing in size and in functional breadth. For GEO, the goal is a clear focus instead of optimizing every tool individually.

What matters is understanding the relevant search intent of the target group and aligning content, sources, mentions and platform presence with it.

An opportunity analysis shows which channels and AI systems carry relevant demand for the target group and what this demand is worth in traffic, leads and revenue.

AI Draws on Other Channels and Creates Synergies Between GEO, SEO and Social Media Marketing

The broader distribution in the AI market has a second consequence:

  1. Visibility depends on which AI system a company appears in.
  2. It also depends on which sources these systems derive their information from.

AI visibility always has a context. AI systems draw on information created in many digital places: websites, search results, structured content, media reports, trade portals, reviews, social media content, forums and communities.

SEO provides findable, structured and thematically clear content. Social media creates attention, recognition and discussion.

Media, communities and review platforms provide external classification, mentions and context. Together, they also strengthen GEO.

A GEO audit checks the website part of this mix: whether content is crawlable for AI systems, clearly structured and usable as a source.

Google AI Overviews Nearly Halve Clicks on Classic Search Results

AI Overviews show how AI is integrated directly into search. For Google searches with an AI summary, users clicked on a classic result in 8 percent of visits (source: Pew Research). Without an AI summary, this value was 15 percent (almost twice as high).Delivery matters too: in one study, AI Overviews appeared for 13.7 percent of all queries analyzed. For question queries, the share was 64.7 percent.This shows the new logic: demand remains, but part of the information is already consumed on the search results page. Measurement and tracking become more demanding because rankings and clicks reflect only part of the digital presence.

Social Media Delivers Attention, Context and Mentions

Social media remains a visibility space of its own. Platforms such as LinkedIn, Instagram, TikTok, Facebook or Reddit shape perception, recognition, trust and topical association.For GEO, social media matters because public content, discussions and mentions can become part of the digital context. A company is defined by its own website and also by posts, comments, shared content, discussions and recurring terms.

Communities, Media and Reviews Strengthen External Validation

AI systems also consider how a company appears outside its own website.This includes media reports, trade portals, industry directories, review platforms, forums and communities. These sources provide citations, mentions, listings, reviews, testimonials and topical classification.This external layer helps AI systems locate and verify statements about companies, products and services.

Google's AI Advantage Lies in Reach, Infrastructure and Business Model

Google brings AI to market through far more than the Gemini app.

Philipp Klöckner describes this as a structural market advantage. In the consumer market, Google does not first need to build attention for a new app. Many users are already active in Google products every day.

AI can appear where people search, navigate, write, plan, watch videos or make decisions.

On top of this come several advantages that only few providers combine:

  • Distribution: Google has an unusually broad product reach. AI features can be integrated directly into existing touchpoints.
  • Infrastructure: Its own computing infrastructure and TPUs enable strong scaling of AI applications.
  • Data: Google has large volumes of search, usage, location, video, shopping and behavioral data from various products.
  • Research: DeepMind strengthens technological development within the group.
  • Cash flow: The advertising business helps roll out AI features broadly without financing every touchpoint through a subscription right away.

This is the source of Google’s strength in the consumer AI market. Other providers must actively lead users into their own apps, pro versions or new workflows. Google can embed AI into familiar everyday usage.

GEO Complements SEO Where More and More Users Are Active

The key consequence of the trend: visibility can no longer be cleanly separated into individual channels. Website, search, social media, reviews, media, directories, communities and AI answers interlock more strongly.This becomes particularly clear with citations and mentions. An external mention can serve several functions at once: it appears in search, delivers offsite signals and occupies a SERP position next to the company’s own website.It also builds trust, leads users directly to the website or a contact option and can be used by AI systems as a source.Rankings remain important. What counts as well: where a company is mentioned, which sources confirm it, which terms are associated with the brand and whether these signals reappear in search, social media and AI answers.

Multi-Location Companies: Consistent Location Data Drives AI Visibility

For multi-location companies this means: locations, services, profiles, reviews, local content and data quality must fit together. Only then can search engines and AI systems reliably recognize which location is relevant for which demand.For B2B companies, the focus is on clear topic leadership, verifiable expertise and consistent signals along the entire customer journey. Content, website, external presence and sales context must fit and convey the same picture.Companies that start early build visibility in a growing market segment (AI) before competitors reach the same presence there.

Benefit from the AI Trend: Book Your Free Consultation Now

The data shows: search is getting broader, AI is growing into information search and visibility emerges on new channels.

digitalagenten helps you analyze and develop this visibility in a structured way: from classic Google visibility and local search to visibility in AI answers.

Depending on your needs, we work modularly on individual building blocks or holistically, from analysis and implementation to ongoing optimization.

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FAQ: Search Trends, AI Search and Digital Visibility

The search trends 2026 show that AI is growing strongly into digital information search. At the same time, Google remains the central access point to digital demand. Social media, websites, reviews and external sources complement search because users take in information across several digital touchpoints.
The analysis combines two data perspectives. The first chart compares active users of digital services in Germany, including Google, social media, WhatsApp and AI applications. The second chart shows the LLM market share of key systems such as ChatGPT, Gemini, Claude, Perplexity, Copilot, DeepSeek, Meta AI and Grok.
The analysis covers more than classic search engines. It shows which digital spaces are used for information search, orientation and vendor evaluation. These include Google, AI chats, social media, platforms, reviews and websites.
No. The data shows an extension of search. Google remains central, while AI grows as an additional information space. At the same time, Google integrates AI into its own products, for example AI Overviews.
AI changes Google search because answers, summaries and sources appear directly on the search results page. Users receive first information before they click on a website. Visibility therefore comes from rankings and from presence in AI-powered answers.
Google AI Overviews add a new answer layer to SEO. Content must still be findable, technically clean and well structured. In addition, clear statements, traceable sources, semantic structure and topical authority gain importance.
ChatGPT remains one of the best-known systems for AI search and still holds the largest LLM market share among the systems analyzed. Other systems, above all Gemini, are gaining share and changing visibility in AI answers. ChatGPT should therefore be considered together with Gemini, Claude and others.
Gemini gains importance because Google can integrate AI directly into existing products. These include Search, Android, Chrome, Gmail, Maps and YouTube. AI can therefore appear in usage situations that already have high reach today.
Claude, Perplexity and Copilot occupy usage contexts of their own. Claude is often used in professional workflows. Perplexity stands for research-oriented answers with source references. Copilot is anchored in the Microsoft environment. For companies, AI visibility therefore emerges across several systems.
SEO improves findability in search engines. GEO (generative engine optimization) extends this view to generative AI systems. It covers whether a company appears in AI answers as a brand, provider, source or solution.
Website and SEO remain the foundation of digital visibility. Search engines and AI systems draw on structured content, clear topics, technical readability, internal linking and external signals. A clean website gives GEO and SEO a stable starting point.
For B2B companies, AI search mainly changes the early information phase. Potential customers compare vendors, topics and solutions before making direct contact. Clear topic leadership, expert classification, content structure and external presence help to become visible in this phase.
For multi-location companies, consistent location data becomes more important. Search engines and AI systems must recognize which location offers which services, which reviews exist and which information applies locally. Location pages, Google Business Profiles, listings, reviews and local content must fit together.
Companies improve their visibility in AI answers through clear content, a clean website structure, strong topical authority, consistent company data, external mentions, reviews and clear answers to key customer questions. GEO, SEO, social media and external sources work best when planned together.
Lorenz Wacker, Managing Partner and Digital Strategist at digitalagenten Berlin

Lorenz Wacker

Managing Partner

Lorenz Wacker is Managing Partner and Digital Strategist at digitalagenten Berlin and specializes in comprehensive digital strategy.

As managing director, he brings deep expertise and a visionary approach to designing digital multichannel strategies.

Lorenz has extensive industry experience in automotive, financial services, insurance, online media, telecommunications, retail, travel and healthcare.