Ranking in Google Gemini chats has become a common goal. You’ll hear the idea, often conflated with other AI visibility goals, batted around among marketers trying to hone their strategy but not quite knowing where to start. As with anything in marketing, it begins with what you’re targeting.
What Are Google’s Gemini Experiences?
“Gemini experiences” is an umbrella term for tools, interfaces, and workflows powered by Google’s Gemini family of AI models. These models are multimodal, meaning they can work with text, audio, images, and video.
Gemini powers an assistant app and AI features within Google Search, among other tools. This article focuses on two search experiences: AI Overviews, which summarize information within search results, and AI Mode, the more conversational search feature within Google Search where you can ask follow-up questions to delve deeper into a topic.
Here, “ranking” means earning mentions, recommendations, or links in AI-generated answers. Improving that visibility starts with familiar work: helping Google find your content, answering customers’ questions, and providing credible evidence to back it up.
Do You Need a Top 10 Organic Ranking to Rank in Google AI Overviews and AI Mode?
A top 10 organic ranking in the SERPs is neither a prerequisite nor a guarantee of appearing in AI Overviews or AI Mode. However, working toward strong rankings is a smart starting point because Google’s AI search features rely on its core Search ranking and quality systems.
AI Overviews and AI Mode can cite pages beyond the top organic results. So strong SEO helps make your content discoverable, but it still needs to answer the user’s question. That’s where answer engine optimization (AEO) builds on SEO, helping you deliver clear, useful answers that AI systems can understand and reference.
Your page must also be indexed and eligible to appear in Search with a snippet. That means Google has included it in its searchable database and your settings allow a text preview.
How Should You Write Answer-First Passages for AEO?
Place a direct answer immediately below a relevant question-style H2 (subheading). A self-contained response of approximately 40 to 80 words can be a useful editorial target: enough room to explain the answer without making the reader dig for the information they’re seeking.
For example, an ice cream shop answering, “Can you accommodate dairy allergies?” should explain its ingredients, handling protocols, and cross-contact limitations before discussing flavors and menu options.
That word range is a writing guideline, not a Google ranking requirement. Google has said it doesn’t have a preferred word count, and while it recommends clear organization, it says there’s no requirement to break content into answer pieces of certain word counts for AI. It also lists “chunking” (breaking content up into little bits of AI-readable material) among the tactics you can ignore, because its systems understand multiple topics on a page and look to surface the relevant piece. In other words, the robots aren’t dumb.
Instead of trying to game the system, follow a short answer with evidence and proprietary details that give you a unique point of view within your segment or niche, and which readers can use to make decisions. Remember: Google’s goal is to serve its readers with accurate and helpful answers.
Mapping The Query Fan-Out and Answering the Sub-Questions
Query fan-out is a technique Google’s AI search features use to run related searches across subtopics and data sources to develop an answer. Google confirms that both AI Overviews and AI Mode may use it. It helps explain why visibility opportunities extend beyond a page’s primary keyword.
Consider “Where should I order ice cream catering for an outdoor party?” Customers rarely make decisions based on one question. Relevant follow-up questions could include:
How will the ice cream stay frozen?
What catering options work for large groups?
Can the vendor accommodate dietary restrictions?
What do delivery and staging cost?
Use customer conversations and search research to identify these questions and then answer them where they naturally belong.
You can’t reliably reconstruct every internal query, plus Google doesn’t advise a fixed number of searches anyway. And building a separate page for every variation is an equally bad idea because tactics like these, designed primarily to manipulate rankings or AI responses, violates its scaled content abuse spam policy.
How Do E-E-A-T and Independent Sources Support Visibility?
If you’ve been following along with our blogs (or doing your own research), you know that E-E-A-T means experience, expertise, authoritativeness, and trustworthiness. It’s still an important part of achieving visibility, though Google explains that E-E-A-T is not one specific ranking factor. You can demonstrate these qualities in your content through identifiable authors, relevant credentials, firsthand examples of your work and its results, transparent methods, and reliable sources.
Independent sources are important because Google’s AI features can reflect what’s being said about a company’s products and services across the web, including blogs, videos, and forum discussions like Reddit.
It’s vital to build and maintain a credible public record through accurate business listings and authentic reviews, and to aim for earned coverage in relevant publications as much as possible. While these signals can support visibility, Google hasn’t published a threshold or count of backlinks, mentions, or reviews that guarantees an appearance in its AI answers. Bear in mind, however, that original research and documented results about your company provide something substantive to reference.
Which Google and Technical Signals Should You Prioritize?
Once you’ve built useful, credible content, make sure your technical setup supports its discovery.
Keep your Google Business Profile accurate, including services, hours, and contact details. Maintain fast, usable mobile pages, and make important information available as accessible text.
Use appropriate Organization markup to describe your business and make sure any structured data matches visible content. Beyond that, Google says there’s no special schema.org markup required to appear in AI Overviews or AI Mode. To clear up any confusion around FAQ markup, Google says it is not a required AI “data anchor” or confirmed citation boost. It also discontinued FAQ rich results in May 2026, so adding this markup won’t produce an expanded FAQ listing in regular search results.
For more on schema, structured data, and related concepts, read our recent blog, “Schema Markup for AI Search: What Actually Helps?”
Review your access controls, too. Make sure your robots.txt rules and hosting security settings allow Googlebot to access the pages you want appearing in Search, including its AI features. Google-Extended is a separate robots.txt token governing certain Gemini training and grounding uses, including grounding responses in the Gemini app. These controls serve different purposes, so it’s worth confirming that your settings align with the experiences where you want to appear.
How Do You Know Where Your Brand Stands in AI Search?
Knowing which practices to implement is useful, but you can only make the right implementation decisions when you know what gaps are holding your business back.
AEO by GoEpps evaluates your brand against four of your closest competitors across 43 metrics each month, then delivers a prioritized improvement plan. We help connect content, credibility, and technical improvements to opportunities across Google’s AI experiences and other answer engines, placing you in a strong discovery position.
To understand where your brand stands and how you can improve your online visibility in the AI era, book a free consultation with GoEpps.