Key Takeaway: Multimodal search is reshaping marketing strategy because people now discover brands through text, voice, images, and AI-driven conversations instead of simple keyword searches alone. Search has become more visual, conversational, and exploratory, so brands need content that answers real questions, supports comparison, and stays visible across different discovery surfaces. The big shift is this: marketing strategy now has to help people make decisions, not just find links.
Marketing strategy is changing because search no longer starts and ends with a typed keyword. Your brand strategy, go-to-market plan, and growth approach now have to account for voice, images, AI answers, and follow-up questions. That shift matters because people no longer move through a neat line from query to click. Search is becoming more conversational, more visual, and more open-ended.
Alphabet says AI Mode queries are three times longer than traditional searches. It also says a significant share of AI Mode queries lead to a follow-up question. Nearly one in six AI Mode queries are now non-text and use voice or images. In a separate earnings call, Alphabet said AI Overviews had grown to more than 2 billion monthly users. Adobe reports that about a quarter of customers now cite AI-powered platforms like ChatGPT as a top research tool. Together, those signals show why this topic now belongs in every modern marketing conversation.
When Search Starts With a Camera, a Voice Note, or a Follow-Up
Google describes AI Mode as a place where people can ask questions conversationally. It also says they can refine their search naturally. People can start with an uploaded image or a photo from their camera. Google adds that each visual result includes a link, so users can click out when something catches their eye. Alphabet’s earnings remarks add that nearly one in six AI Mode queries now use voice or images.
What does that mean? The search journey can begin with a picture. It can continue with a question. It can narrow through follow-ups before a person chooses a site. The old “type a keyword, scan links, click one result” model still exists, but it no longer explains the whole experience. Search now feels closer to a guided conversation than a one-step lookup.
Why Marketing Strategy Now Starts Before the Search Box
This change belongs under marketing strategy because it affects discovery earlier in the journey. Google Search Central says AI Overviews and AI Mode surface relevant links. It also says they help people explore content they may not have discovered before. Google adds that AI Overviews help people get the gist of a complicated topic more quickly. They also give readers a jumping-off point to learn more. In other words, search now shapes how people learn, compare, and form preferences before they are ready to buy.
The scale of that shift is hard to ignore. Google said in May 2025 that Lens handled more than 25 billion queries per month. In the same remarks, Google said one in four visual search queries done with Lens had commercial intent. Merchant Center says eligible product listings can appear across Search, Maps, Gemini, YouTube, the Shopping tab, Images, and Lens. So the modern search surface is not just a page of links. It is a wider discovery system that blends content, commerce, and context.
From Blue Links to Guided Decisions
The core shift is not that websites disappear. Search engines now do more of the sorting and framing before the click. Google says AI Overviews help people get to the gist of complex questions more quickly. It also says AI Overviews and AI Mode surface relevant links and help users explore new content. That makes search feel less like raw retrieval and more like guided decision support.
The good news is that the foundation has not vanished. Google says the same basic SEO best practices still apply in AI Overviews and AI Mode. It also says important content should appear in text. It should be supported by high-quality images and videos when helpful. Search Central adds that structured data should match the visible text on the page. So brands do not need a brand-new rulebook. They need a broader version of the one they already have.
A marketing strategy built for questions, not just keywords
Google’s guidance for succeeding in AI search says users are asking longer and more specific questions. It also says they ask follow-up questions to dig deeper. The same guidance tells site owners to focus on unique, non-commodity content that readers actually find helpful. That matters because people do not always start with a neat industry term. They often start with a natural question, a problem, or a vague idea they want to narrow down.
That is why strong top-of-funnel content now carries more strategic weight. A useful article or explainer can help a reader understand the topic and compare options. Google also says important content should be available in text and supported by strong visuals when relevant. So the goal is not to abandon keywords. The goal is to pair them with clear answers, useful context, and content that works across text and visual discovery.
The New Discovery Map Is Wider Than Search Alone
Traditional search still matters, but it no longer works alone. Adobe says roughly half of customers still turn to traditional search engines as a primary research source. The same report says about a quarter now cite AI-powered platforms like ChatGPT as a top research tool. That does not mean one channel replaces the other. It means discovery now spreads across more than one interface, often inside the same decision journey.
This wider journey also changes how marketers read intent. Google Ads says that in advanced search experiences such as Lens, AI Mode, AI Overviews, and autocomplete, the search term shown in reporting may be the best approximation of the user’s intent. Google also says AI Max includes a “Search terms and landing pages from AI Max” view. That view shows the search terms, headlines, and landing pages involved in the journey. That is a strong signal that modern discovery is messier than an exact-match keyword model suggests. Marketing teams need to look at journeys, not just isolated queries.
Conclusion
Search is not losing importance. It is gaining new shapes. People can now ask, show, compare, and follow up before they decide where to click. Google says its AI features help people get the gist of complex topics quickly. It also says those features help people explore content they may not have discovered before. That is why search now influences learning and consideration, not just traffic capture.
That is why marketing strategy now has to account for multimodal, conversational, and exploratory search. The brands that win will be easier to understand, easier to compare, and easier to discover across those moments. They will meet people with useful content instead of waiting for a perfect keyword. Contact us if you want to learn more about how this shift should shape your marketing strategy.
Sources:
Alphabet Investor Relations - 2025 Q4 Earnings Call | abc.xyz
Alphabet Investor Relations - 2025 Q2 Earnings Call | abc.xyz
Adobe 2026 AI and Digital Trends: Customer Behaviors and AI | business.adobe.com
AI Mode in Google Search Updates: Visual Exploration and Discovery | blog.google
About Ad Group and Asset Group Prioritization Within a Google Ads Account | support.google.com
About Reporting in AI Max for Search Campaigns | support.google.com



