GOOGLE AI OVERVİEWS: DEFİNİTİON, HOW IT WORKS, AND A GUİDE TO GETTİNG CİTED

If, when you search on Google, you see an AI-written summary at the top of the results before the blue links, you are looking at AI Overviews, officially called AI Bakışı in Turkish. Having your brand named in that summary or your page shown as a source is one of the most visible outcomes of AEO work. So what exactly are AI Overviews, how do they work, and what does it take to get cited in them? Drawing on official Google sources and controlled studies, and without any secret formula, we cover what is actually evidence-based.

What Are Google AI Overviews?

AI Overviews are an AI summary generated by Gemini at the top of Google Search results. They synthesize the basics of a topic from multiple sources and offer web links to dig deeper. Unlike a list of individual blue links, an AI Overview gives a single synthesized answer. Google shows them only on queries where it decides generative AI will be especially helpful, not on every search. The scale is large: at the Google I/O 2026 keynote, Sundar Pichai announced more than 2.5 billion monthly active users for AI Overviews. You can follow the end-user side of the feature in Google's official AI features documentation.

From SGE to AI Overviews: The Feature's History

The feature was first announced in May 2023 at Google I/O under the name Search Generative Experience (SGE), as an experiment inside Search Labs. At Google I/O 2024 on May 14, 2024 it opened broadly in the US under the name AI Overviews. A frequently confused point lives here: Google never issued a single announcement explicitly renaming or ending SGE, and the official post only references the earlier Search Labs experiment. The SGE framing is largely the SEO industry's interpretation, and the feature was promoted from experiment to a permanent capability.

The Difference Between AI Overviews and AI Mode

The two are different things. AI Overviews are a short summary embedded in standard search results. AI Mode is a separate, more powerful, conversational experience inside Search, offering more advanced reasoning, multimodal input (text, voice, camera), and deepening through follow-up questions. You can move from an AI Overview into AI Mode with a follow-up question. Per Google I/O 2026 figures, AI Mode has surpassed 1 billion monthly users. Both rely on the same web index and the query fan-out technique; you can find the details in Google's AI Mode announcement.

How AI Overviews Works: Gemini and Query Fan-Out

AI Overviews run on a Gemini model customized for Search and use retrieval-augmented generation (RAG) grounded in the core search ranking systems. The model evolution went like this: a custom Gemini for Search in 2024, Gemini 2.0 on March 5, 2025, and the Gemini 3 family brought to Search (first to AI Mode) in late 2025 and early 2026. The key mechanism is query fan-out: Google's system splits one question into subtopics, issues multiple related searches concurrently, and merges the results into a single coherent answer. The practical consequence matters: a single keyword ranking is decoupled from citation, and you can be cited by performing well on a sub-query you never targeted.

AI Overviews in Turkey and in Turkish

Google officially began rolling out AI Mode and AI Overviews in Turkey on February 18, 2026, a date confirmed both by the official Turkish Google blog and by industry press the same day. The features arrived with the Gemini 3 model family, in the Google app on Android and iOS and on search result pages, rolled out gradually. Because of the gradual rollout, the feature may not have appeared for all users at once on that date. Turkey was one of the last major markets added, roughly a year after the global launch, at a time when the feature was already available in more than 180 countries. You can read the official announcement on Google's Turkish blog.

How AI Overviews Selects and Cites Sources

AI Overviews and AI Mode rely on the same web index as organic search; there is no separate AI index. The basic eligibility condition is that your page is indexed and eligible to be shown with a snippet in normal search. Directional evidence suggests cited content tends to be self-contained passages that directly answer a sub-question: a clear definition, a concise fact, or a direct step list. Extractability is the key here; a section that stands alone as a complete answer is easier to cite than answers buried in long narrative paragraphs. The five-stage candidate-pool models and exact word counts circulating in the industry are unverified, reverse-engineered estimates, not confirmed by Google.

Is Organic Ranking a Prerequisite? What the Studies Say

A top ranking is a strong correlate but neither sufficient nor a strict prerequisite. Ahrefs' March 2026 study (863K keywords, 4M AI Overview links) found only about 38 percent of cited URLs ranked in the top 10 organic results, with roughly 31 percent in positions 11 to 100 and roughly 31 percent beyond position 100; the study details also carry an important caveat, since Ahrefs notes it improved its citation-parsing method and the data is not directly comparable to older figures. The real finding is the disagreement between studies: BrightEdge reported about 17 percent, Ahrefs 38 percent, and older analyses around 54 percent. The frequently quoted 99 percent figure is a different metric, namely the probability that at least one top-10 source appears in a given overview, not a per-citation rate. Do not rely on any single percentage.

Evidence-Based Tactics to Get Cited

Google's official position is clear: optimizing for generative AI search is optimizing for the search experience, and is still SEO; the strongest lever is foundational SEO. Google's AI optimization guide says so explicitly. The practical steps are these: indexable and snippet-eligible pages; original, useful, people-first content (Google warns against repackaging what is already said online); and strong E-E-A-T signals (trust is the most important component, but E-E-A-T is not a direct ranking score). The peer-reviewed GEO study from Princeton and Georgia Tech (KDD 2024) found that citing sources, adding verifiable statistics, and adding authoritative quotations can lift generative-search visibility by up to about 40 percent, on the sole condition that the data is genuine and verifiable. Answering questions directly with self-contained responses is also good practice, but treat it as a readability principle, not a citation mechanism proven by Google.

Debunked Myths and Vendor Hype

The most repeated myth is that special markup is required. Google clearly states that there are no additional requirements, no special schema.org structured data, no llms.txt, and no AI-specific files needed to appear in AI Overviews or AI Mode. Schema is still useful for classic rich results, but it is not a lever that unlocks an AI Overview; a controlled 2026 Ahrefs test (1,885 pages that added JSON-LD and about 4,000 control pages) found no meaningful change in citations. The fact that cited pages carry schema more often is a confound, not causation: well-maintained, authoritative sites both use schema and produce extractable content. The exact multipliers circulating in SEO blogs (for example plus 73 percent for structured data, or 134 to 167 words as the ideal unit) come from a single commercial source, are not peer-reviewed, and should not be used as verified data. Google publishes no such numeric multipliers in any official documentation.

AI Overviews' Traffic Impact and Conclusion

AI Overviews are changing search behavior, but the numbers differ by source and method, and correlation is not causation. Per Pew Research (data from March 2025), on searches with an AI summary users clicked a traditional result only 8 percent of the time, versus 15 percent without one. According to SparkToro and Datos data, zero-click searches in the US reached about 68 percent in early 2026. Google argues that total organic click volume has stayed relatively stable, but has not shared supporting public data. In short, there is no magic setting to appear in AI Overviews; solid SEO fundamentals, original and clear content, strong E-E-A-T, and brand strength are the real determinants. We covered the same principles on the ChatGPT visibility side, and for the broader picture you can explore our Generative Engine Optimization guide, our what is AEO and content optimization content, and our AEO services.