Google’s May 2024 keynote marked an important shift in the development of Search. AI Overviews, multi-step reasoning, video-based searches, contextual result organization, and more complex query handling were presented as the next stage of the search experience.
By 2026, many of those ideas have developed beyond their original previews. AI Overviews are now part of Google Search, while AI Mode offers a more conversational experience for complicated questions, comparisons, follow-up searches, and research tasks.
The most important change for marketers is not that traditional SEO has disappeared. Google continues to state that its established SEO principles remain relevant to AI Overviews and AI Mode. However, the way people search, explore information, and move between sources has become more complex.
Businesses now need content that can rank in conventional search results while also being useful within AI-generated responses, multimodal searches, local results, product discovery, and follow-up conversations.
From the 2024 Search Preview to the 2026 Reality
At Google I/O in May 2024, Google introduced AI Overviews as a way to combine information from multiple sources and provide a faster starting point for complex questions. The company also demonstrated multi-step reasoning, planning features, video search, and AI-organized results.
Those announcements were not merely visual changes to the search results page. They represented a shift from matching a relatively simple query with a list of pages toward helping users complete longer and more complicated information journeys.
Google has since expanded that approach through AI Mode. This experience is designed for searches that require deeper exploration, reasoning, comparison, or follow-up questions. Both AI Mode and AI Overviews may use a process Google calls query fan-out, in which the system runs multiple related searches across subtopics and data sources before assembling a response with supporting links.
The evolution can be summarized as follows:
| Announced in 2024 | Position by 2026 | SEO implication |
| AI-generated overviews | AI Overviews are an established Search feature | Content may appear as a supporting source within an AI response |
| Multi-step reasoning | AI Mode can explore several related subtopics | Pages should provide depth, clarity, and original information |
| Video-based searches | Search supports more visual and multimodal experiences | Important concepts should be supported by useful images and videos |
| AI-organized results | Google can present information through different result formats | Visibility is no longer limited to one traditional blue-link position |
| More contextual search | Queries can include follow-ups and detailed conditions | Content should address the wider decision journey, not one keyword alone |
AI Overviews Are Now Only One Part of AI Search
AI Overviews help users understand the main points of a topic without manually opening every available result. They appear when Google determines that an AI-generated summary adds value beyond the standard search results.
AI Mode goes further. It allows users to ask detailed questions, refine an answer through follow-ups, compare options, and explore connected subjects within the same search experience.
This distinction matters because a person may begin with a broad question and then continue through several increasingly specific follow-ups. A single search session can cover awareness, comparison, troubleshooting, local availability, price considerations, and the final decision.
Google says these AI features can identify supporting pages through query fan-out, which breaks a larger question into related searches. This means a useful page may be discovered for a specific part of the response even when it does not match the user’s original wording exactly.
For marketers, the lesson is not to create a separate article for every possible query variation. Google’s 2026 guidance warns against producing large numbers of pages mainly to manipulate search rankings or generative AI responses. Instead, content should provide distinctive value and cover its subject with enough substance to support related questions naturally.
A deeper explanation of these search formats is available in AOK Marketing’s guide to the four elements of search in 2026.
Query Fan-Out Changes How Topics Are Discovered
Traditional keyword research often begins with one main query and a group of closely related variations. That approach remains useful, but query fan-out makes topical relationships more important.
Consider a user searching for the best accounting software for a small construction company. AI Mode may explore pricing, integrations, mobile access, payroll functionality, project tracking, tax reporting, customer reviews, and industry-specific limitations.
A page does not need to repeat the exact target keyword in every section. It needs to provide useful information that contributes to the wider decision.
This makes clear topic selection essential. One page should have a defined purpose, while supporting articles answer narrower questions without duplicating the same search intent.
Long-tail queries remain valuable because they reveal specific concerns, conditions, and decision factors. AOK Marketing’s guide to long-tail keyword strategies for AI search explains how these searches can support broader topical coverage without creating repetitive pages.
Original Value Matters More Than Generic Coverage
In 2026, repeating information already available across hundreds of websites is unlikely to create a strong competitive advantage.
Google’s official generative AI optimization guidance recommends creating useful, compelling, and non-commodity content. This means the page should contribute something beyond a generic summary.
Original value may come from firsthand experience, specialist commentary, internal data, practical examples, customer questions, testing, research, case studies, screenshots, comparisons, or a clearly explained process.
A service company could strengthen an article by including common mistakes observed during client projects. A retailer could add product compatibility information that is difficult to find elsewhere. A software company might publish implementation data, workflow examples, or limitations learned through customer support.
The objective is not simply to make the article longer. It is to give searchers and Google’s systems a reason to use that source rather than a page repeating common knowledge.
Google continues to emphasize helpful, reliable, people-first content, while warning that scaled AI-generated pages without meaningful added value may violate its spam policies.
Clear Structure Helps People Navigate Complex Answers
Complex topics should be easy to follow. Descriptive headings, direct explanations, relevant tables, and logical transitions help readers locate the part of the page that addresses their question.
However, this does not mean every paragraph should be reduced to a mechanical answer block. Google’s 2026 guidance does not recommend creating artificial “chunks” solely for generative AI systems.
The page should still read naturally from beginning to end. Headings should explain what belongs in each section, while important answers should appear near the point where readers need them.
Content can also support several levels of understanding. A short opening explanation may help a beginner, while later sections can provide more detailed processes, examples, limitations, and implementation advice.
The result should be comprehensive without becoming repetitive or crowded.
Visual and Multimodal Search Has Become More Important
The 2024 keynote showed users asking questions about moving objects through video. Google later introduced more multimodal capabilities through Lens and AI Mode, allowing Search to analyze images and issue related searches about the full image and individual objects within it.
Businesses should therefore treat images and videos as useful information assets rather than decorative additions.
A repair guide may benefit from labelled photographs. A product comparison may use close-up images showing important differences. A software tutorial can include screenshots or a short demonstration. A local business may publish accurate images of its location, staff, products, and customer experience.
Important information should still be available in text. Google specifically recommends keeping essential content accessible in textual form while supporting it with high-quality images and videos where appropriate. Descriptive filenames, relevant surrounding copy, captions, and accurate alt text can help clarify the purpose of a visual.
Technical SEO Still Determines Eligibility
AI search visibility still begins with crawling and indexing.
Google states that a page must be indexed and eligible to appear in Search with a snippet before it can be shown as a supporting link in AI Overviews or AI Mode. There are no separate technical requirements that guarantee inclusion in these features.
This makes several foundational tasks essential:
- Important pages must be accessible to Googlebot.
- Internal links should help users and search engines find related content.
- Canonical signals should be consistent.
- Important information should not depend on scripts that fail to load.
- Sitemaps should contain current, indexable URLs.
- Duplicate and low-value pages should be controlled.
- Mobile usability and overall page experience should be reviewed.
A page cannot gain visibility in AI search when Google cannot reliably crawl, render, understand, or index it.
Websites experiencing indexing problems should review why pages become crawled but not indexed and look for opportunities to improve website crawl efficiency.
Structured Data Is Helpful, but It Is Not an AI Shortcut
The original 2024 recommendations placed strong emphasis on structured data. Schema markup remains useful because it helps Google understand entities and can make pages eligible for supported rich results.
However, Google now clearly states that structured data is not required for inclusion in AI Overviews or AI Mode. There is also no special AI schema that guarantees a citation or appearance.
Structured data should accurately represent the content visible on the page. Adding unsupported, misleading, or hidden markup will not improve a weak page.
The same applies to proposed AI-specific files. Google’s 2026 optimization guide states that websites do not need llms.txt, special AI text files, or new machine-readable formats to appear in Google’s generative Search features.
The practical strategy is to use valid schema where it supports an eligible search feature, not to treat markup as a replacement for useful content.
Local and Ecommerce Information Must Stay Accurate
Real-time business and product information has become increasingly important as users ask questions involving location, availability, opening hours, delivery, inventory, and price.
Google recommends keeping Google Business Profile and Merchant Center information accurate because those sources can support both conventional results and generative AI experiences.
For local businesses, this means maintaining the correct name, address, phone number, hours, service areas, categories, photos, and website links. The outdated name “Google My Business” should be replaced with Google Business Profile in current content.
LocalBusiness structured data can also provide Google with information such as operating hours and business details, provided the markup matches the visible page and the actual business information.
For retailers, accurate product feeds, shipping details, return policies, availability, and pricing help Google understand what is currently offered.
Page Experience Supports the Entire Search Journey
Fast loading, mobile usability, secure browsing, readable layouts, and stable page elements remain important because users need to access and understand the information after clicking a result.
Page experience should not be treated as one isolated ranking switch. Google evaluates many signals, and excellent technical performance will not make low-value content useful.
However, poor usability can prevent a valuable page from succeeding. Intrusive pop-ups, shifting layouts, unreadable mobile text, slow images, confusing navigation, and excessive advertising can cause visitors to leave before reaching the answer.
The goal is to combine useful content with a page that makes that information easy to consume. Google’s page experience guidance recommends considering whether users can navigate and interact with the page effectively across devices.
Measuring AI Search Visibility Is Improving
In 2024, marketers had limited visibility into whether traffic came specifically through AI-generated Search features.
In June 2026, Google announced dedicated generative AI performance reporting in Search Console. The report provides views of impressions associated with features such as AI Overviews, AI Mode, and generative AI experiences in Discover. Google also continues to include this activity within overall Search performance data.
Businesses should not measure success through impressions alone. Search Console data should be reviewed alongside analytics, conversions, qualified leads, revenue, assisted customer journeys, and the quality of traffic reaching the website.
A decline in clicks does not automatically mean the content has lost all value. Some users may receive an answer directly in Search, while others may click only when they need deeper expertise or a specific service. The important question is whether the visibility is reaching the right audience and contributing to meaningful outcomes.
AOK Marketing’s guide to measuring GEO performance provides a broader framework for evaluating visibility beyond traditional keyword rankings.
What Businesses Should Prioritize in 2026
The response to Google’s AI Search changes should not be a collection of shortcuts. It should be a stronger version of sustainable SEO.
Businesses should prioritize useful original content, clear site architecture, crawlable pages, relevant internal links, accurate business information, multimedia assets, and trustworthy evidence. Content should answer real customer questions while demonstrating why the company is qualified to provide the answer.
They should also avoid creating hundreds of thin pages for minor keyword variations, adding unsupported schema, chasing artificial mentions, or assuming that an AI-generated draft is ready to publish without expert review.
These approaches overlap with several outdated SEO tactics that no longer work in 2026.
SEO, AEO, GEO, and AI search visibility may be discussed using different terminology, but Google’s official position is that the foundations remain connected. Our comparison of GEO and SEO provides more detail on where the approaches overlap and where marketers may use different measurements.
Google’s 2024 Search Vision Is Now a Practical SEO Reality
Google’s May 2024 keynote introduced a search experience built around generated answers, complex reasoning, visual input, planning, and context.
By 2026, those developments have expanded into AI Overviews, AI Mode, query fan-out, multimodal discovery, and dedicated generative AI reporting. Search is no longer limited to entering one phrase and selecting one result from a static list.
The response for businesses is not to abandon SEO. It is to improve it.
Pages still need to be crawlable, indexable, useful, accurate, and easy to navigate. However, they also need to provide enough original value to contribute to complex AI-generated answers and the follow-up questions that surround them.
Businesses that combine strong technical foundations with expert-led content, clear entity information, helpful visuals, and accurate measurement will be better positioned to earn visibility as Google Search continues to evolve.
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