# Where Does Google Get Its Information? The 6 Sources Google pulls from six sources, from web crawling to the Knowledge Graph. See where AI Overviews get their answers, with September 2026 citation data. **Published:** April 22, 2026 **Author:** Megan McDonough --- Google doesn't just crawl the web. It pulls from six different sources to build what you see on screen. If you've ever looked at a Knowledge Panel and wondered where that data came from, or why Google's AI gives a different answer than its search results, you're asking the right question. Where does Google get its information? It uses six sources: web crawling, the [Knowledge Graph](https://www.searchable.com/blog/knowledge-graph-recommendations) (over 54 billion entities), licensed data feeds, user data like Google Business Profiles, structured data from websites, and AI [training data](https://www.searchable.com/blog/where-does-chatgpt-get-its-data) for features like AI Overviews and Gemini. **Key takeaways** - Google draws from six distinct information pipelines, not just web crawling - Structured data makes pages eligible for rich results, and Nestlé measured an 82% higher click-through rate on its rich result pages - The Knowledge Graph contains over 54 billion entities sourced from Wikipedia, Wikidata, and 209,000+ trusted references - Google's AI features source information differently from traditional search: in September 2026, AI Overviews cited YouTube in 31.2% of answers and Reddit in 17.7%, while Gemini cited Reddit most - Getting into the Knowledge Graph depends on consistent corroboration from trusted third-party sources as well as your own website - You can actively influence all six pipelines through structured data, entity SEO, and consistent brand signals Here's what most people miss: these sources actually determine what Google says about you, your brand, and your business. Every source you don't feed is one where your competitors can surface instead. ## Why This Matters for Your Business (The Revenue Case) Where Google gets its data has a real effect on your clicks and revenue, and structured data is the clearest example. In the case studies on [Google Search Central's introduction to structured data](https://developers.google.com/search/docs/appearance/structured-data/intro-structured-data), Nestlé measured an 82% higher click-through rate on pages that appear as rich results, and Rotten Tomatoes measured a 25% higher click-through rate on pages enhanced with structured data. When you know which sources Google pulls from, you can target those sources more intentionally to increase your chances of showing up in search results. Google's AI features follow the same logic: AI Overviews and AI Mode rely heavily on a handful of platforms, so a brand that only invests in its own website misses the sources those answers are built from. **82%** Higher CTR on rich results: Nestlé's rich result pages vs its non-rich result pages, per a Google Search Central case study. **31.2%** AI Overviews citing YouTube: Share of Google AI Overviews answers citing YouTube, August 29 to September 27, 2026. Searchable data. **17.7%** AI Overviews citing Reddit: Share of Google AI Overviews answers citing Reddit over the same period. Searchable data. If you're spending on SEO but don't know which sources your content feeds, you're leaving money on the table. Google only shows a Knowledge Panel once it has enough entity signals about a brand, so if your competitors haven't built those signals yet, you've got a head start. ## The Six Sources Google Uses to Build Search Results Google builds search results from six sources. Web crawling is the one everyone knows about, but it's only one piece. The other five shape Knowledge Panels, rich results, AI Overviews, and the data boxes for weather, sports, and stocks. **Google's Six Information Pipelines** - **Web Crawling**: Discovery Googlebot follows links across billions of pages to discover content. This is the foundation, but crawling alone doesn't tell Google what your content means. - **Knowledge Graph**: 54B+ Entities A database of over 54 billion entities and 1.6 trillion facts, sourced from Wikipedia, Wikidata, the CIA World Factbook, and 209,966+ trusted references. - **Licensed Feeds**: Real-Time Data Google pays partners for live sports scores, stock prices, weather, and flight data. These features show data that doesn't come from any webpage. - **User Data**: GBP & Reviews Google Business Profiles, Maps reviews, and Scholar entries. This is the most directly controllable source for local businesses. - **Structured Data**: Schema Markup Schema.org markup tells Google what content represents: a product, person, event, or recipe. It makes rich results possible, which can lift click-through rates. - **AI Training Data**: LLMs & Live Retrieval For AI Overviews and Gemini, Google draws on LLM training data, Reddit threads, YouTube transcripts, and live web retrieval. This pipeline is growing fast. Each pipeline is a different way to shape what Google knows about your brand. The most visible companies show up across several pipelines, not just one. ## Google Knowledge Graph vs Knowledge Panel: What's the Difference? The Knowledge Graph is Google's database of entities and how they link to each other. It holds over 54 billion entries and 1.6 trillion facts. A Knowledge Panel is the info box on the right side of search results and it pulls from the Knowledge Graph. Think of it this way: the Knowledge Graph is the library's catalog, with every book indexed and linked. The Knowledge Panel is the card that gets shown when you search for a specific book, and to get a Knowledge Panel, you first need to be in the Knowledge Graph. - **Knowledge Graph**: Google's internal database of entities and relationships. - Contains 54 billion+ entries and 1.6 trillion facts - Sourced from Wikipedia, Wikidata, and 209,966+ trusted references - You cannot see the Knowledge Graph directly - Requires corroboration from trusted third-party sources - **Knowledge Panel**: The info box shown on the right side of search results. - Pulls its data from the Knowledge Graph - Requires your brand to already be a known entity - Gives branded searches a fact box you can influence - Schema alone won't build a Knowledge Graph entry Many brands get this wrong. They add schema and expect a Knowledge Panel to appear, or assume Google only uses their website. - **Adding schema markup will get you a Knowledge Panel**: Schema helps Google read your content, but a Knowledge Panel requires corroboration from trusted external sources. - **Google only uses your website to learn about your brand**: Google cross-references Wikipedia, Wikidata, LinkedIn, Crunchbase, industry databases, and news sites. ReputationX found 209,966+ trusted sources. - **Paying for ads helps you appear in the Knowledge Graph**: The Knowledge Graph is built from entity signals, not ad spend. Consistent mentions across trusted third-party sources are what count. If your brand only lives on your own website and a few social pages, you likely haven't crossed the corroboration threshold. ## Where Does Google AI Get Its Information? Where does Google AI get its information? AI Overviews and Gemini pull from the Knowledge Graph, the search index, LLM training data, and live web results. They also lean hard on user-generated content. In [Searchable data on which social platforms AI cites](https://www.searchable.com/data/which-social-media-platforms-does-ai-cite), Google AI Overviews cited YouTube in 31.2% of answers between August 29 and September 27, 2026, ahead of Reddit at 17.7% and Facebook at 13.9%. Understanding where Google AI gets its information is helpful when planning content. AI Overviews don't just pull from top-ranking pages. They also surface forum posts, video scripts, and threads that wouldn't normally rank on page one. Reddit and YouTube carry far more weight in AI answers than in standard search results. - **AI Overviews**: AI Overviews pull from Google's search index, the Knowledge Graph, and live web retrieval. In September 2026, YouTube was the most cited social platform in AI Overviews every week, appearing in 31.2% of answers, with Reddit at 17.7% and Facebook at 13.9% (Searchable data). Forum posts and video scripts surface alongside traditional pages. Multi-source synthesis - **Gemini**: Gemini uses Google's search index, the Knowledge Graph, and its own LLM training data. As a Google product, it has direct access to Maps data, Shopping data, and YouTube transcripts. It checks the Knowledge Graph for facts like founding year and key leaders. It cites social platforms far less often than AI Overviews: in September 2026, Reddit led at 5.4% of answers and YouTube followed at 2.3% (Searchable data). Direct Google data access Google's AI search features also cite different platforms than Gemini does. In September 2026, YouTube was the most cited social platform in both AI Overviews and AI Mode every week, while Gemini cited Reddit most often. - **31.2%** AI Overviews answers citing YouTube: The most cited social platform in AI Overviews in every week of September 2026. Searchable data, August 29 to September 27, 2026. - **17.7%** AI Overviews answers citing Reddit: Second among social platforms, ahead of Facebook at 13.9%. Same answers, same period. The mix also depends on your industry: AI Overviews cite YouTube most in almost every industry Searchable tracks, but for travel and hospitality questions, Facebook comes first and appears in 30.6% of answers. See the [full breakdown by engine and industry](https://www.searchable.com/data/which-social-media-platforms-does-ai-cite). Google's AI still uses the Knowledge Graph to check facts like founding dates and key leaders, but the wider context comes from web pages, forum posts, and video content. For brands, SEO alone isn't enough. You need to show up on the places AI features cite. A YouTube video about your field can get picked up by AI when a blog post might not. ## How to Get Your Brand Into Google's Information Sources Getting into Google's Knowledge Graph takes steady signals across the web. Start with structured data (Organization or LocalBusiness schema) on your site, then claim your Google Business Profile. From there, build listings on platforms like Wikidata, LinkedIn, and industry databases. Google needs to see your brand mentioned consistently across trusted sources before it treats you as a known entity. Here's a practical framework for positioning your brand across all six pipelines: **Brand Entity Building Checklist** Steps to get your brand into all six of Google's information pipelines - **Foundation: Structured Data & Profiles** - **Add Organization or LocalBusiness schema to your site**: This tells Google what your entity is. Use sameAs markup to connect profiles on LinkedIn, Twitter/X, and Crunchbase. - **Claim and complete your Google Business Profile**: Fill every field, reply to reviews, and keep hours current. Google trusts its own platforms. - **Ensure NAP consistency across all listings**: Your Name, Address, and Phone number should match everywhere. Mismatches cause Google to show nothing. - **Authority: Knowledge Graph Entry** - **Create or update your Wikidata entry**: Wikidata feeds directly into the Knowledge Graph. Ensure your entry is clean and well-sourced. - **Build a Wikipedia article (if notable)**: Your company needs coverage in reputable, third-party sources to qualify. Wikipedia articles feed straight into the Knowledge Graph. - **Get listed on industry-specific databases**: IMDb for entertainment, Bloomberg for finance, ThomasNet for manufacturing, Crunchbase for tech. Find the databases that matter in your sector. - **AI Visibility: Content That Gets Cited** - **Write content with clear, direct answers**: AI Overviews favor definitive answers over hedged ones. Answer customer questions directly in blog posts and videos. - **Build presence on YouTube and Reddit**: YouTube is the most cited social platform in AI Overviews and AI Mode, with Reddit second. Create videos answering common questions and join relevant subreddits. - **Aim for corroboration across trusted sources**: Google needs to see your brand mentioned consistently across many independent sources before it shows a Knowledge Panel. The thread through all of this is corroboration. Google doesn't trust one source; it checks everything. The more places your brand shows up with consistent information, the more Google trusts you. That's why [E-E-A-T](https://www.searchable.com/blog/e-e-a-t) and entity authority matter: they tell Google your brand belongs in its knowledge systems. ## Frequently Asked Questions ### Where does Google AI Overview get its information? AI Overviews pull from Google's search index, the Knowledge Graph, and live web retrieval. They cite user-generated platforms alongside trusted websites. In Searchable data from September 2026, AI Overviews cited YouTube in 31.2% of answers, Reddit in 17.7%, and Facebook in 13.9%. ### Does Google use Wikipedia for its information? Yes. Wikipedia and Wikidata are key sources for the Knowledge Graph. They give Google entity data that feeds Knowledge Panels and helps it map links between people, places, and companies. If your brand has a good Wikipedia page and Wikidata entry, you're far more likely to get a Knowledge Panel. ### Where does Google Gemini get its information? Gemini uses Google's search index, the Knowledge Graph, and its own LLM training data. It also pulls live info from the web. As a Google product, it has direct access to Maps data, Shopping data, and YouTube transcripts. ### Can you control what Google shows about your business? You can influence it, but you can't fully control it. Claiming your Google Business Profile, adding structured data, and building consistent signals across trusted sources all help. Google needs to see your brand mentioned consistently across trusted sources before it feels confident showing entity data. ### How does structured data help Google understand your content? Structured data (schema.org markup) tells Google what your content is: a person, a product, a company, or an event. It cuts out guesswork and makes your pages eligible for rich results such as product listings and review stars. In a Google Search Central case study, Nestlé measured an 82% higher click-through rate on pages that appear as rich results. ## What to Do Next > Google your brand name and check: is there a Knowledge Panel? Is the info correct? Then open > ChatGPT or Gemini and ask about your company. Compare what AI says to what you'd want a customer > to read. The gaps you find are exactly what needs fixing. No Knowledge Panel means you haven't hit the corroboration threshold. Vague AI answers mean your entity signals aren't reaching the right sources. Google gets its information from six pipelines. Each one you don't feed is one where your brand stays invisible. Most of your competitors are still only thinking about web crawling and ignoring the other five. If you want help getting your brand into all six sources, that's what we do at Searchable. We help brands build entity signals across the Knowledge Graph, AI systems, and structured data, so Google doesn't just find you; it knows who you are. --- [Back to Blog](https://www.searchable.com/blog) | [Searchable Homepage](https://www.searchable.com)