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What Is Google AI Mode? (+ How to Optimize for It in 2026)

Author:Alex Lindley

10 min read

February 13, 2026

Contributor: Cecilia Meis

Google AI Mode changes how search results are displayed and content is discovered.

Instead of 10 blue links, users now see AI-generated summaries, fewer clickable results, and a new interface designed for faster answers.

This guide explains what Google AI Mode is, how it works, and how to optimize your content for it.

What Is Google AI Mode?

Google AI Mode is a version of Google Search that replaces the standard results page with an AI-first layout. The interface includes AI-generated summaries and simplified link formats.

Think of it as a built-in research assistant powered by Google’s Gemini 2.5 model.

Google AI Mode query and response appears in a separate tab to Google Search.

AI Mode appears as a separate tab in Google Search, alongside “Images” and “Videos,” or directly at google.com/aimode. Google also recently made AI Mode available on mobile devices when users click “Show More” within AI Overviews.

What Is the Difference Between AI Mode and AI Overviews?

AI Mode and AI Overviews both use generative AI, but they appear in different places and serve different purposes in Google Search.

AI Overviews appear in standard search results when Google determines they’re helpful. AI Mode is a separate experience accessible through the “AI Mode” tab, going to google.com/aimode, or clicking "Show More" from a mobile AI Overview.

Here’s a side-by-side comparison, as outlined by Google:

Feature
AI Overviews
AI Mode
Access
Appears in regular Search results when helpful
Accessed via a separate Search tab or google.com/aimode
Purpose
Quick summaries for complex questions
Deeper, interactive exploration with follow-ups and comparisons
User interaction
Static response with supporting links
Conversational: allows follow-up questions and retains context
Best use cases
Understanding complex topics quickly
Exploratory tasks, product comparisons, how-tos, and planning
Input types
Text only
Multimodal: text, voice, and images
AI model
Custom Gemini model integrated with Search systems
Advanced Gemini model with agentic reinforcement learning for improved reasoning
Response depth
Summary of key info plus top supporting links
Synthesized response from multiple subqueries and diverse sources
Factuality protections
Relies on corroborated web results; avoids hallucinations
Adds reasoning safeguards and dynamic factual verification from Google sources
Visual experience
Mostly text with limited formatting
Rich visuals, evolving UI, and action-based linking (e.g., booking, how-tos)
Trigger frequency
Selective: only appears when Google is highly confident
Broader: appears for more complex queries but still uses quality thresholds

How Is Google AI Mode Different from Other AI Tools?

Google AI Mode is built to work within Google’s ranking ecosystem. That makes it more relevant to SEO than standalone AI tools like ChatGPT or Perplexity.

Semrush ran a study comparing AI Mode to traditional Search, AI Overviews, ChatGPT, and Perplexity

Here’s how Google AI Mode stands out:

Feature
Google AI Mode
Other AI Tools (e.g., ChatGPT, Perplexity)
Link diversity
Shows ~7 unique domains in sidebars; only 51% overlap with Google’s top 10 organic results
Typically link to fewer, more common sources
Organic URL alignment
89% of link domains match Google’s top domains; 80% of exact URLs match
Lower overlap with traditional organic search results
Use of UGC (e.g., Reddit)
Frequently cites Reddit and community content
Reddit also appears, but usage varies
Response length for commercial queries
Twice as long for product or commercial searches vs. informational ones
Also show longer, richer responses for commercial queries (similar behavior)
Source breadth
Pulls from a wider range of domains beyond Google’s core rankings
ChatGPT relies partly on fixed training data; Perplexity uses recent content plus citations
Visual UI & sidebar design
Unique sidebar format showcasing external sources and domain diversity
Perplexity uses footnotes; ChatGPT (free) has limited source transparency
Context handling
Maintains context across follow-up questions but feels more informational than conversational
ChatGPT and Perplexity handle multi-turn conversations well

And unlike ChatGPT, Google’s AI Mode shows ads for some queries. According to Search Engine Land, Google began briefing brands ahead of Q4 2025 on how they can use AI Mode to reach their audiences.

SEO consultant Brodie Clark also noticed ads within AI Mode:

“Ads within AI Mode are here. This marks a significant difference between Google's AI Mode and the likes of ChatGPT, with ChatGPT not having even close to the same infrastructure for ads as Google does.”

And compared to other AI tools, AI Mode is trained to reflect Google’s ranking signals, which makes it an important focus for your SEO strategy.

Google AI Mode doesn’t mirror the top 10 organic search results. It selects sources based on perceived trust, relevance, and formatting—not just rankings.

To see how citations differ, Semrush analyzed sidebar sources in AI Mode vs. the top 10 traditional search results for five high-intent SEO queries:

Here’s what we found:

Query
% Domain Overlap (AI Mode vs Organic Top 10)
Notable Differences
Best SEO tools
~50%
AI Mode cited Retainr, AgencyAnalytics, and Reddit, none of which appeared in the top 10 organic
SEO strategy
~40%
AI Mode showed Shopify and HubSpot, while traditional search emphasized Backlinko and Google Docs
Technical SEO
~60%
AI Mode prioritized Search Atlas and Landingi—missing from the organic top 10
SEO audit checklist
~30%
AI Mode highlighted WordStream and SEO PowerSuite, neither of which were in the top organic results
Local SEO
~45%
Sidebar showed Squarespace, Broadly, and Search Engine Journal, diverging from results like Wikipedia and local business listings

Across all five queries, the average domain overlap between AI Mode and traditional organic results was under 50%. Exact URL overlap was often below 30%.

Ranking well doesn’t guarantee inclusion in AI Mode. Your content is more likely to appear if:

How Does Google AI Mode Affect SEO?

Google AI Mode represents the biggest change to search in years. Traffic is down. Google Search Console can’t track it. Visibility now depends on citations, not just rankings.

Here’s what SEO professionals need to know:

Less Traffic, Even if You Rank

AI-generated answers are taking clicks from traditional search results. Ranking in the top 10 no longer guarantees visibility.

According to Pew Research, AI-enhanced SERPs have cut click-through rates by nearly 49%. AI Overviews started this trend. AI Mode accelerates it.

Semrush data shows that 92% of AI Mode responses include a sidebar with about seven unique domains. But:

Graph shows overlap between AI citations and top 10 Google search rankings. For Google AI Mode, 53.68% have domain overlap while 35.41% have URL overlap.

Sergei Rogulin, Head of SEO at Semrush, says now is a good time to “Stop worrying so much about lost traffic.”

“Instead, shift your focus,” he says. “This is a new landscape, and visibility now means something different.”

Ask:

Focus there.

A Shift from Ranking to Reputation

In AI Mode, visibility comes from citations, not first-page rankings. Google’s AI selects trusted sources, even if they don’t rank in the top 10.

AI Mode summarizes responses and links to curated sources. Only about half of those match traditional results. The rest are chosen based on:

If your brand isn't present where people are asking and answering questions, or your content isn’t seen as credible, you’re less likely to be cited.

Analytics Are Falling Behind

Google Search Console doesn’t yet show traffic from AI Mode or AI Overviews. That makes it hard to measure what’s working.

Traditional metrics—clicks, impressions, and rankings—don’t tell the full story anymore. SEOs must now track:

Semrush’s AI Visibility Toolkit can help. Enter your domain to see how your brand is represented in AI search:

AI strategic opportunities shows how you can better your messaging, product, and more based on AI tools' representation.

Track Google AI Mode Citations

with the Semrush AI Visibility Toolkit

Sign Up Now

How to Optimize for Google AI Mode (Step-by-Step Guide)

Want your content featured in Google’s AI results? Follow these steps:

1. Start with Fundamental SEO Best Practices

Google’s AI favors content that’s well-structured, trustworthy, and easy to crawl. Core SEO practices still apply, and they matter more now than ever.

Focus on these fundamentals:

  1. Format for readability. Use no-fluff answers, bullet points, and short paragraphs in a conversational tone. Make content easy to scan.
  2. Demonstrate E-E-A-T. Showcase experience, expertise, authoritativeness, and trustworthiness. Use real authors, expert insights, and source citations. These factors describe content Google wants to rank.
  3. Get technical SEO right. Prioritize fast load times, mobile responsiveness, clean heading hierarchy, and crawlable HTML. Help search engines parse your content efficiently.

For example, Semrush often appears in AI Mode results for queries like “what is the best tool for SEO”

Semrush appears as the first brand mention for a Google AI Mode query.

Why? Because Semrush covers the basics:

AI Mode rewards structured, credible content from reputable brands.

2. Establish Your Brand Across the Web

AI Mode cites multiple sources per query. To be included, your brand must appear across trusted, high-authority sites.

Follow these best practices:

Pro tip: Semrush’s Listing Management tool helps you easily update and maintain consistent and accurate NAP data across multiple platforms from one dashboard.

Brands that are visible, credible, and consistent across the web are more likely to be cited in AI Mode responses.

3. Create Citation-Worthy Content

Google’s Gemini 2.5 model cites sources that are credible, structured, and rich in information. To get featured, your content must be something AI can easily lift, summarize, and reuse.

Follow these strategies:

Bottom line:

You don’t need more words. You need more value per word. High-value content is easier for AI to process, extract, and display.

For example, one of the most cited resources about AI search is Semrush’s AI Overviews study. Why?

It’s been cited by Search Engine Land, Moz, and Reddit. And in Gemini-powered answers.

The Semrush study appears as a citation in a Google AI Mode response.

4. Optimize for Conversational Query Intent

Google AI Mode is built to understand natural, conversational queries similar to how people talk to voice assistants like ChatGPT or Google Assistant.

To align your content with this intent, follow these best practices:

Take this example of content optimized for conversational query intent:

The H2 is an exact match of the query. The first sentence directly, concisely answers the query, and the remaining paragraphs elaborate on the answer.

5. Track AI Visibility and Citations

Most SEO tools weren’t built for AI-powered search. Google Search Console can’t currently distinguish between traffic from traditional results, AI Mode, or AI Overviews.

That means rankings and traffic data no longer show the full picture.

To stay competitive, you need to track:

Semrush’s AI Visibility Toolkit shows how your brand performs in AI Mode and other AI platforms.

The Visibility Overview report highlights which prompts and topics drive your mentions to a brand.

Visibility Overview report topics & sources

And the Brand Performance reports dive deeper into your brand’s narrative and sentiment on AI platforms.

Brand Performance report

You can also track the overall sentiment of your mentions. And the narrative drivers.

key sentiment drivers

And get tailored suggestions to improve AI visibility.

ai strategic opportunities

Stay Ahead of the AI Curve

Google AI Mode marks a major shift in how people find and trust information online. The focus is no longer just on rankings and clicks. It’s now about citations, credibility, and context.

Use the Semrush AI Visibility Toolkit to:

Optimize for Google AI Mode

with the Semrush AI Visibility Toolkit

Sign Up Now

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Author Photo

Alex Lindley

Alex is a managing editor with 10+ years of experience leading content and SEO teams across SaaS, tech, ecommerce, and digital publishing. He specializes in building editorial systems that balance human judgment with AI-assisted workflows, helping teams produce original, high-impact content as search and discovery evolve. His work spans SEO strategy, content quality frameworks, and adapting content operations for AI-driven search.

Author Photo

Alex Lindley

Alex is a managing editor with 10+ years of experience leading content and SEO teams. He focuses on building AI-aware editorial systems that help teams produce original, high-impact content as search evolves.

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