Google AI search features: a 2026 map
Where Google AI features show up in Search: AI Overviews, AI Mode, multimodal queries, site owner controls and measurement, mapped for 2026.
By Roozbeh Nazari · CEO
A search for "Google AI" today describes not a single product but several experiences spread across Search. For a brand, the real question is where these experiences begin, where they take their content from and what control they leave to the site owner. This article draws a map: the AI features visible in Search in Türkiye, what each means for a website and how to measure them. We have already covered individual features in depth; our AI Mode article and our AI Overviews in Türkiye article go into detail. The aim here is to put the pieces side by side and make decisions easier.
Google AI features in Türkiye: the timeline
According to an announcement dated 18 February 2026 on Google's Türkiye blog, AI Mode and AI Overviews became available in Türkiye in Turkish. The announcement states that AI Mode runs on Gemini 3 Flash, that questions can be asked by text, by voice or by taking a photo directly with the camera, and that answers link to web sources. The date matters, because the look of the results page for Turkish queries changed from that point on. When you interpret your own Search Console data, treating the periods before and after February 2026 separately helps you put changes in click-through rate in the right context. Use the date as a candidate breakpoint, not as proof of impact; seasonality and algorithm updates may also have played a part in the same period.
One distinction also needs to be made at the outset. Some of the people searching for "Google AI" or "AI Google" are looking not for the features in Search but for the Gemini app or Google's developer products. This article focuses only on the AI experiences inside Google Search, because that is the layer that directly affects a website's traffic and visibility. The Gemini app works with its own source-attribution logic and needs a separate measurement approach; making this difference clear within the team keeps two different channels from being mixed up in reports.
Layers of the map: AI Overviews, AI Mode and multimodal search
Google's documentation for site owners defines two main features. AI Overviews is a summary shown at the top of the results page that helps users get to the gist of a complicated topic more quickly. AI Mode is a separate, conversational experience designed for queries that need further exploration, reasoning or complex comparisons. The Türkiye announcement also explains that AI Mode uses a "query fan-out" technique that breaks a question into subtopics and runs multiple searches. This means a page optimised for a single keyword may answer only one part of the user's actual question.
The third layer is the input format. Users no longer only type; they ask by voice or point the camera at a product, a sign or a document. Visual entry points such as Google Lens and Circle to Search on Android had already made this behaviour common; the multimodal design of AI Mode combines it with AI answers. For a website, the practical consequence is this: product images, alt text and the descriptive text on the page carry context not only for visual search but also for which page AI answers will cite as a source.
Becoming a source in Google AI answers: what it actually takes
Google's documentation is clear on this: there are no additional requirements or special optimisations needed to appear in AI Overviews or AI Mode. The page needs to be indexed and eligible to be shown with a snippet in regular Search. That sentence works as a good filter against proposals selling "separate SEO for AI". Google's Search Central blog post from May 2025 points the same way: genuinely helpful, original and reliable content, a good page experience, technically accessible pages and structured data that matches the visible content on the page.
What we observe in practice is that AI answers tend to cite pages that answer a clear question with a clear paragraph. That is why we recommend a rule to content teams: "the first paragraph under each H2 should answer the question in the heading on its own"; we explain this approach in our passage citability article. This is an observation, not a guarantee: Google decides which page to show as a source based on the query and context, and no practice guarantees being cited.
Site owner controls
Because AI features are part of Search, the controls are Search controls. Google points to the existing tools for limiting how content is used in these features: the nosnippet, data-nosnippet and max-snippet directives, noindex, and robots.txt rules for Googlebot. There is a balance to watch here. Turning off snippets limits the page's use in AI answers but also affects how it appears in regular results. If a section could be misread when taken out of context, such as a price, a dosage or a legal detail, applying data-nosnippet only to that section rather than to the whole page is usually the more balanced solution. Which AI crawlers to allow is a separate decision; we cover it in our AI crawler management article.
Measurement: where you see AI traffic
According to Google's documentation, traffic from AI features is reported in the Search Console Performance report under the "Web" search type, together with regular search traffic. So do not expect a separate "AI traffic" row. The method that works in practice is to track question-style and long queries as a separate segment, watch how the gap between impressions and clicks in that segment changes over time, and monitor the engagement quality of visits to those pages in Google Analytics. For those who want to track visibility at prompt level, we share a measurement setup in our GEO measurement article.
Turning the map into decisions
For a brand, the map of Google AI features can be reduced to three decisions. The first is technical: are the important pages indexed and eligible for snippets? The second is editorial: does the content answer the user's question with paragraphs that stay accurate even when taken out of context? The third is measurement: is behaviour on question-style queries tracked separately? We work through these three questions together, in the context of the brand and its sector, as part of our AI search visibility service. The features on the map will keep changing; that is why tying decisions to the documentation Google writes for site owners, rather than to a particular interface, is the more durable approach.