What Google's New Search Updates Mean for the Future of Data Extraction

Google announced the biggest set of changes to its core search in years, including AI Mode powered by Gemini 3.5 Flash and new search agents that monitor the web for users, at its latest I/O conference. The updates make search results dynamic with AI-generated content, shopping cards, tables, and code blocks, prompting SerpApi to release APIs for parsing AI Overview and AI Mode results in structured JSON.

Google recently announced https://blog.google/products-and-platforms/products/search/search-io-2026/ the biggest set of changes to their core search in years. Google's AI Mode is now powered by Gemini 3.5 Flash and the new search agents which will run in the background to monitor the web for you. Google search results is becoming dynamic. They will include AI-generated content with citations, shopping cards, tables, code blocks, and more. Here is what changed at Google's Latest I/O conference and how to parse these new search results with SerpApi once they're officially rolled out. What Google Announced A few highlights that matter most for anyone working with SERP data: Gemini 3.5 Flash is the new default in AI Mode AI Mode passed one billion monthly users a year after launch, and queries have more than doubled every quarter since. A Redesigned Search Box The new search box now accepts text, images, files, videos, and even Chrome tabs as input. It expands as you type and suggests how to phrase your question. Search Agents AI agents will scan the web for things you care about, like apartment listings or electronic deals, and send you a curated update. Agentic booking is expanding to local services, and Google will even call businesses on your behalf. Google seems to be moving Search away from a standard results page listing. Instead, it's a generated answer which changes based on both the user and their specific query. What This Changes Every one of these changes makes SERP harder to read or parse with generic scrapers. The visible result for a single query might include a paragraph of AI-generated text, a table, a shopping carousel, three citations, a video, and a code block. And the next user asking the same question might see something entirely different. For SEO teams, brand monitors, developer platforms or anyone building on top of Google results, you'll need two things: - A reliable way to capture what Google actually shows A structured response you can store, query, and compare over time https://serpapi.com/blog/get-ai-generated-responses-from-search-engines-in-structured-json/ Our two APIs cover both the AI Overview block that appears above standard, organic results and the full AI Mode experience that Google plans to make as the default experience. Parsing AI Overview Our Google AI Overview API returns the AI-generated summary that appears at the top of many Google results pages. You get the text, the cited references, and the inline media in a clean JSON structure. Use it for things like tracking which sources Google cites for your brand, watching how often AI Overview appears for a given query, and seeing how fast information changes now that Gemini 3.5 Flash is the model behind it all. As an example, a basic search result returning an AI Overview section: Parsing AI Mode Google's AI Mode is the full conversational experience, and it is what they just put at the core of their search results. We already parse this data with our Google AI Mode API https://serpapi.com/google-ai-mode-api . Our Google AI Mode API endpoint is: https://serpapi.com/search?engine=google ai mode The returned response is structured into several key parts: text blocks returns paragraphs, headings, lists, tables, and code blocks. Each block is typed and includes reference indexes that map back to the source citations. references returns the cited sources with title, link, snippet, and source domain. reconstructed markdown is a top-level field that gives you the full answer as clean markdown. Useful for storage, diffing across time, or feeding it directly into your own LLM. shopping results , local results , inline videos , and inline images show up depending on the query instance. Here is a simple call with localization : curl "https://serpapi.com/search?engine=google ai mode&q=steakhouse&location=Austin,Texas&gl=us&hl=en&api key=YOUR API KEY" Multi-Turn Conversations Google is pushing users to ask follow-up questions instead of running new searches. You can mirror that flow with our API's continuable parameter. Set it to true and SerpApi will return a subsequent request token you can pass back to continue the conversation with a follow-up question that includes the prior exchange as context. First request curl "https://serpapi.com/search?engine=google ai mode&q=best+coffee+beans&continuable=true&api key=YOUR API KEY" Follow-up using the token from the first response curl "https://serpapi.com/search?engine=google ai mode&q=which+ones+are+single+origin&subsequent request token=TOKEN HERE&api key=YOUR API KEY" Multimodal Input Google's new Search box accepts images. So does our AI Mode API. Simply pass in the image url parameter and that image will be used as additional context for the AI to generate a response. require "serpapi" client = SerpApi::Client.new engine: "google ai mode", q: "What is this?", image url: "https://www.kikkoman.it/fileadmin/ processed /b/e/csm 1101-recipe-page-Authentic-Japanese-soy-sauce-ramen mobile c83e83c70c.webp", api key: "YOUR API KEY" results = client.search text blocks = results :text blocks Things You Can Build Today Here are 3 things you can already build today using SerpApi's AI Mode and AI Overview APIs: 1. Citation monitoring for your brand . Pull AI Mode and AI Overview responses for a list of queries, extract the references array, and track all the citations over time. With Gemini 3.5 Flash as the new default, the sources Google trusts are likely to update frequently. 2. Price and product details. The shopping results block exposes product titles, prices, ratings, and thumbnails for each individual result. With Google pushing more shopping results into AI Mode, this is where competitive pricing data is moving. 3. Multi-turn or follow-up answers. Use continuable=true to simulate a real user's follow-up flow. Useful for legal, medical, and finance teams where confidence in AI summaries is critical. to try a live query, or take a look at the documentation for our https://serpapi.com/playground playground and https://serpapi.com/google-ai-overview-api AI Overview API . https://serpapi.com/google-ai-mode-api AI Mode API What's Next? Google's latest announcements point toward a search experience that's moving away from static results and more toward agentic, conversational, generated content. This summer will bring more changes, like generative UI, mini-apps, and information agents for Google AI Pro and Ultra subscribers. Our parsers already handle tables, code blocks, and interactive product modules, and we'll keep extending coverage as Google adds new block types. We're also watching how outputs are impacted by information agents and what becomes parseable for our users as that rolls out.