How to Optimize for Gemini: The Complete AEO Guide

Key takeaways

• Gemini powers three surfaces: the Gemini app, AI Overviews, and AI Mode. Each pulls from Google’s index a little differently, and each has its own inclusion controls.
• Regular Googlebot crawls the content behind AI Overviews and AI Mode. Blocking Google-Extended won’t remove you from them; the Search generative AI setting in Search Console controls those.
• In Goodie’s AEO Periodic Table V4, Gemini scored author authority at 88, one of the highest of any engine, and rewarded entity consistency more than any other engine studied.
• Gemini is natively multimodal, and 82% of YouTube’s AI citations come from Google’s AI surfaces. Video and images are citation opportunities most brands leave unoptimized.
• Google Business Profile, Merchant Center, and the Knowledge Graph are levers no other AI model offers.
• Measure Gemini in a closed loop: citation rate, share of voice, answer accuracy, and the revenue AI search drives.

Optimizing for Gemini means optimizing for three Google surfaces at once: the Gemini app, AI Overviews, and AI Mode. All three lean on Google’s index, so strong SEO is the entry ticket. The brands that get cited add a Gemini-specific layer on top: credentialed authors, a consistent entity footprint, optimized video and images, and a complete presence across Google’s own products.

That layer is what this guide covers. It draws on Goodie’s analysis of 1.13 million prompts across six AI surfaces and Google’s guide to optimizing for generative AI features, including eight strategies, the technical controls that determine eligibility, and ways to measure results.

Key Steps for Optimizing Content for Gemini

1. Write Comprehensive Answers to Common Questions
2. Establish Topic Authority
3. Prioritize Content Clarity and Structure
4. Embrace Natural Language
5. Implement E-E-A-T Signals Throughout Content
6. Use Schema Markup and Technical Signals 
7. Optimize Images and Video for Multimodal Search
8. Strengthen Your Presence Across Google’s Ecosystem

How Gemini Works & What It Means for Your Content

Gemini is Google’s family of multimodal AI models, built to process text, code, audio, images, and video together. It powers AI Overviews and AI Mode, and Google keeps building it into more of its products.

Four of Gemini’s traits shape how you should create content:

• Native multimodality. Gemini was trained on text, images, audio, and video together, so a YouTube video or an image can be cited as readily as a paragraph. Your non-text assets are citation opportunities.
• A large context window. Gemini can read long pages in full, so comprehensive pillar content works in your favor, as long as each section is clearly labeled and self-contained.
• Grounding in Google Search. AI Overviews and AI Mode use retrieval-augmented generation to pull pages from Google’s Search index. If a page isn’t indexed and eligible for a snippet, it can’t be cited.
• Agentic capabilities. Gemini increasingly completes tasks like comparing products or booking. Structured product, pricing, and availability data make your brand usable in those flows, and Google points to emerging standards like the Universal Commerce Protocol for what comes next.

Where Gemini Shows Up: The Gemini App vs. AI Overviews vs. AI Mode

“Optimizing for Gemini” means optimizing for three surfaces. They share a model family but differ in where answers appear and what controls your inclusion.

Query fan-out is the idea on this table that matters most for content. When someone asks AI Mode a question, it splits that question into related searches and builds an answer from the results. In Google’s own example, a question about fixing a weedy lawn fans out into searches about herbicides, chemical-free removal, and prevention. A page that covers those sub-questions has more chances to be pulled in than a page built around the headline query alone.

How Google Gemini Evaluates Content

Gemini favors content that clearly answers the specific questions people ask, from sources that show real expertise in their field. For time-sensitive queries, current and accurate information wins.

It also favors natural, conversational language that mirrors how people talk. Google’s AI systems understand synonyms and intent, so you don’t need an exact-match keyword for every phrasing. What matters is clear organization that makes your meaning easy to extract.

Gemini Optimization vs. Traditional SEO

Gemini optimization is built on SEO. Google’s AI features answer from Google’s index, and Google’s guide describes optimizing for AI search as “still SEO.” What changes is what counts as winning and what you optimize for.

Keep doing what works in SEO, then add the Gemini-specific layer covered in the strategies below.

What Goodie’s Data Shows About Gemini & AI Mode Citations

Goodie’s AEO Periodic Table V4 analyzed 1.13 million prompts across six AI surfaces, including Gemini and Google AI Mode, spanning 31 industries from February to June 2026. It scores 14 factors by how strongly each correlates with a brand being cited. The data is correlational and doesn’t include AI Overviews, so treat these findings as specific to Gemini and AI Mode.

Gemini vs. AI Mode at a Glance

Scores are 0 to 100 estimates of each factor’s relative influence on citation within that engine. Source: Goodie AI (2026), AEO Periodic Table V4.

Five Findings That Matter for Google’s AI Surfaces

1. Search rank is AI Mode’s strongest correlate. Search and fan-out rank was the single best predictor of citation in AI Mode. V4 cautions that rank is the result of relevance, authority, structure, and freshness, so invest in those causes instead of chasing rank directly.
2. Gemini rewards authority far more than AI Mode. Gemini scored E-E-A-T and author authority at 88, compared with 75 for AI Mode. If the Gemini app matters to you, author credentials, bios, and first-hand experience are among your strongest levers.
3. Entity consistency pays off more on Gemini than anywhere else. Consistent naming of your brand, products, and people, plus a clean entity footprint across the web, had a bigger payoff on Gemini than on any other engine in the study.
4. One comprehensive page beats several narrow ones in AI Mode. Because AI Mode fans a question out into related sub-queries, a single thorough page that covers the question and its sub-questions outperforms a cluster of thin keyword pages. Leading with the answer helps; broader “rewrite for AI” tactics like chunking were overstated in the data.
5. Freshness matters less on AI Mode than on live-search engines. AI Mode scored freshness at 74, compared with 87 for Perplexity. Keep content accurate and dated, but don’t republish just to look new.

What Holds Across Every Engine, Including Gemini

• Off-site signals carry as much weight as on-page content. Earned citations and social and community citations hold 22% of total citation weight, more than any single on-page content factor.
• Originality beats schema. Originality and information gain (9% weight, 86.7 average score) far outweighs structured data (4% weight, 75.8 average). Schema helps with parsing and rich results, but it doesn’t earn citations on its own.
• Video is the biggest social citation source, especially on Google. Goodie’s study of 6.1 million AI citations found social citations totaled 2.31 times owned-content citations over the study period, reaching 4.17 times in November 2025. YouTube was the largest social source, and 82.47% of YouTube citations came from Google’s AI surfaces. In Gemini, YouTube made up 63.7% of social citations (see strategy 7).

Key Strategies for Optimizing Content for Gemini

1. Write Comprehensive Answers to Common Questions

Create content that answers the questions your audience asks, with direct, complete answers that are easy to read and easy for crawlers to parse.

Steps:

• Research the specific questions people ask Gemini in your category. Goodie’s Prompt Research shows real prompts, model-specific volume trends, and query fan-out across 12 LLMs. For supporting ideas, check Google’s “People also ask” box and Reddit threads in your niche.
  • [Image 3: Screenshot of Prompt Research filtered to Gemini]
• Structure your content with a primary question as the H1 and related questions as H2s and H3s. Cover the sub-questions around your topic too, since AI Mode’s fan-out searches for them. Keep this inside strong, comprehensive pages: spinning up a separate page for every variation violates Google’s scaled content abuse policy.
• Lead each section with a concise answer. We recommend roughly 40 to 60 words in the first paragraph, which gives Gemini a clean passage to extract. V4 found answer placement gives a real lift.
• Build a dedicated FAQ page for your top 20 to 30 industry-specific questions. Keep each question focused on one thing, since compound questions are harder to pull as a standalone answer.
• Use HTML tables for comparison queries (those containing “vs.” or “which is better”). For longer pieces, add jump links to specific answers.
  • Tip: Check Search Console regularly for question-based queries to spot new opportunities.

2. Establish Topic Authority

Gemini prioritizes citing answers from companies that demonstrate expertise in specific topics. Building a body of interconnected, in-depth content around your core topics helps establish this authority.

Steps:

• Map your content into topic clusters. We suggest at least 5 to 7 pieces per cluster so the relationships between pages are clear.
• Create one comprehensive pillar page per core topic (often 2,000+ words) as the foundation for that subject.
• Connect supporting content to each pillar with descriptive, varied anchor text.
• Contribute to industry publications. Guest posts and expert commentary extend your authority beyond your own domain, and earned citations are one of the heaviest-weighted factors in V4.
• Quote experts directly and include their credentials in the text.

3. Prioritize Content Clarity & Structure

One caveat: Google says you don’t need to break content into tiny chunks or rewrite it for AI, because its systems can find the relevant part of a longer page. Treat structure as a readability practice for people first. Easy extraction is the side effect.

Steps:

• Open each piece with a 2 to 3 sentence summary or a “Key Takeaways” box so readers and answer engines know what’s coming.
• Keep paragraphs under three sentences, and aim for sentences under 20 words where clarity allows.
• Use numbered lists for processes and bulleted lists for features or benefits. Work them into the flow of your paragraphs instead of turning the whole page into lists.
• Add a linked table of contents to articles over 1,500 words so readers can jump to the section they need.
• Write descriptive H2s that could stand alone as search queries.
• Keep a consistent information hierarchy across all your content.

4. Embrace Natural Language

Write in a conversational, human tone that matches how people ask questions. Skip keyword stuffing and jargon your audience doesn’t use.

Steps:

• Use real conversational prompts as section headings. Prompts run longer and read more naturally than typed keyword queries.
• Use contractions, questions, and the occasional colloquialism to keep the flow natural.
  • Tip: Read drafts out loud, or use a read-aloud feature, to catch stiff phrasing.
• Use Q&A formats for complex concepts so information unfolds the way a conversation does.
• Use transitional phrases like “this means,” “here’s why,” and “for example” to guide readers through your explanations.

Additional Tip: In Search Console, set the search type to Web: text-based and filter for queries of seven or more words. These long, conversational queries are the closest proxy to how people phrase prompts.

(Another) Additional Tip: Create a style guide that defines conversational parameters for your brand across every channel.

5. Implement E-E-A-T Signals Throughout Content

Google’s systems are built to reward Experience, Expertise, Authoritativeness, and Trustworthiness, and Gemini leans on those signals harder than most engines. In V4, Gemini scored author authority at 88, compared with 75 for AI Mode.

Steps:

• Include first-person perspective where it’s relevant. A line like “In my 10 years working with e-commerce platforms, I’ve found that…” signals real experience with the topic.
• Add “About the Author” sections with qualifications and credentials.
• Link to author social profiles and professional memberships to extend authority beyond your website.
• Show “Last Updated” dates and commit to regular refreshes, especially for time-sensitive content.
• Link directly to original sources for every statistic, not to secondary write-ups of them.
• Show balanced viewpoints on topics with more than one credible perspective.
• Include methodology sections when you publish research or data analysis.
• Add testimonials from recognized entities in your field as social proof.
• Disclose potential conflicts of interest or biases related to your content. Transparency is a core part of trustworthiness.

6. Use Schema Markup & Technical Signals

Google says structured data isn’t required to appear in its AI features, and there’s no special markup for them. Schema markup is still worth doing: it keeps you eligible for rich results and makes facts like authors, dates, and products machine-readable. Don’t expect it to earn citations on its own, though. V4 found engines read visible HTML during retrieval and largely ignore JSON-LD. The technical checks below matter more, because they decide whether your content can be used at all.

Steps:

• Implement FAQPage schema on any page built around questions and answers. Google stopped showing FAQ rich results in Search on May 7, 2026, so there’s no visual snippet to win. The markup is still valid and harmless, and it gives parsers a clean question-and-answer structure. Keep each question and answer self-contained.
  • Tip: Pair this with the FAQ page from strategy 1. If a page is already structured as Q&A, FAQPage schema is a low-effort addition.
• Add Article or BlogPosting schema to all editorial content, including author, datePublished, and dateModified. This reinforces the E-E-A-T signals from strategy 5 at the technical level.
• Use Organization schema on your homepage. Include name, url, logo, sameAs (linking to your LinkedIn, social profiles, and authoritative third-party listings), and a clear description so Google can tie mentions of your brand to one entity.
• Implement BreadcrumbList schema site-wide to make your site architecture and topic organization explicit.
• Audit for JavaScript-rendered content. Google can process JavaScript as long as it isn’t blocked, but JavaScript-heavy sites are more complex to get right. Put key answers, headings, and structured data in the initial HTML response so Googlebot, which crawls the content behind AI Overviews and AI Mode, sees them reliably.
• Check the Search generative AI setting in Search Console. Since August 31, 2026, every site worldwide has a Search Console control that decides whether its content can appear in and ground AI Overviews, AI Mode, and AI Overviews in Discover. Google lists inclusion as an eligibility requirement for its AI features. It’s on by default, so confirm nobody on your team has switched it off. Opting out means no impressions or traffic from those features.
• Make a deliberate call on Google-Extended. Google-Extended is a robots.txt token, not a separate crawler. It controls whether your content trains Gemini models and grounds answers in the Gemini app. It doesn’t affect Google Search rankings, AI Overviews, or AI Mode (the Search Console setting covers those). Blocking it keeps your content out of Gemini training but also out of Gemini app citations, so most brands chasing visibility should leave it allowed.
• Check your snippet controls. nosnippet, data-nosnippet, and max-snippet apply to AI Overviews and AI Mode too. A restrictive max-snippet setting can quietly keep your content out of AI answers.

Additional Tip: Use Google’s Rich Results Test for rich-result types and the Schema Markup Validator for everything else, since the Rich Results Test dropped FAQPage support in June 2026. Then use URL Inspection in Search Console to confirm Google is parsing your markup.

7. Optimize Images & Video for Multimodal Search

Because Gemini understands images and video natively, those assets can be cited alongside your text or instead of it. Google’s guide notes its AI features bring in relevant images and video, and that following its image SEO and video SEO best practices already counts as optimizing for generative AI search. Most brands leave these assets unoptimized, which makes this an easy advantage.

Steps:

• Create content that answers your audience’s questions with direct, complete answers that are easy to read and easy for crawlers to parse.
• Start by finding which pages image searches already reach. On September 24, 2026, Google split Search Console’s “Web” search type into Web: text-based and Web: multimodal. The multimodal view covers searches made with Google Lens, Circle to Search on Android, image uploads to Google Search, and Chrome’s “Search this image.” Open the Pages tab under Web: multimodal, then prioritize those pages for the steps below.
  • [Image 4: Screenshot of the Search type filter showing Web: text-based and Web: multimodal]
  • Tip: There’s no query data for multimodal searches, because people searched with a picture instead of words. Work at the page level, and export a baseline from the interface now, since the Search Console API doesn’t expose the new type yet.
• Treat YouTube as a Gemini channel. YouTube accounts for 63.7% of Gemini’s social citations in Goodie’s data. Add accurate transcripts, chapter timestamps, and descriptions that answer the question each video addresses.
• Embed key videos on the related page and add VideoObject schema so Google connects the video to your written answer.
• Use original images such as product photos, diagrams, and data charts instead of stock. Give them descriptive file names, specific alt text, and captions.
• Put images next to the text they illustrate. Surrounding context tells Gemini what an image shows and when to use it.
• Present data as both a chart and text. Summarize the key figure in a sentence so it can be cited even when the image isn’t read.

8. Strengthen Your Presence Across Google’s Ecosystem

Gemini can draw on what Google knows about your brand beyond your website. Google’s guide names Merchant Center feeds and Google Business Profiles as ways to show up in AI responses. No other AI model gives you levers this direct.

Steps:

• Complete and maintain your Google Business Profile if you have physical locations. Hours, categories, photos, and reviews feed local answers.
• Keep Merchant Center feeds accurate and complete if you sell online. Titles, attributes, pricing, and availability shape how your products appear in AI responses.
• Build a consistent entity footprint. Use the same brand name, description, and key facts across your site, social profiles, and third-party listings so Google can resolve them to one entity. Our entity optimization guide covers how.
• Earn reviews and mentions on sites Google trusts in your category. Start with an earned media audit to see which sources AI already cites for your brand and category. Keep it authentic: Google says chasing inauthentic mentions doesn’t help.

How to Measure Success on Gemini

How to Optimize for Gemini: Frequently Asked Questions