Key takeaways
- Google AI Overviews appear automatically at the top of standard search results for relevant queries -- users don't opt in, and they're primarily triggered by informational intent.
- Google AI Mode is a separate, opt-in conversational search experience designed for complex, multi-step queries -- closer to ChatGPT or Perplexity than traditional Google Search.
- The two products pull from different source types, reward different content signals, and serve users at different stages of intent.
- A single GEO strategy won't cover both -- you need to understand which product you're actually targeting before you optimize.
- Tracking both separately (not just "Google") is essential, since citation patterns between AI Mode and AI Overviews can diverge significantly.
Two AI products, one search engine
Most people treating "Google AI" as a single thing are already behind. Google now runs two meaningfully different AI-powered search experiences, and they don't behave the same way, cite the same sources, or respond to the same optimization signals.
Google AI Overviews launched broadly in the US in May 2024. Google AI Mode started rolling out in 2025. Both use AI. Both can mention your brand -- or completely ignore it. But if you're building a GEO strategy without distinguishing between them, you're probably optimizing for the wrong thing half the time.
Let's break down exactly what each product is, how they differ, and what that means for how you should be thinking about content and visibility.
What Google AI Overviews actually are
AI Overviews are the AI-generated summary boxes that appear at the top of a standard Google search results page. You've seen them -- a synthesized paragraph or two above the blue links, often with small citation cards on the right side.
They're automatic. Users don't choose to see them. Google decides when to show an AI Overview based on the query, and it pulls from indexed web content using its existing search signals. The citations that appear are links to source pages, but your brand can also be mentioned in the summary text without being the cited source -- which is its own visibility dynamic worth tracking.
AI Overviews tend to show up most for:
- Informational queries ("how does X work")
- Research-intent queries ("best tools for Y")
- Health, finance, and how-to topics
- Queries where a synthesized answer saves the user a click
The user experience is still fundamentally Google Search. The blue links are still there. AI Overviews sit on top of them, not instead of them.
What Google AI Mode actually is
AI Mode is different in a more fundamental way. It's not a feature layered onto traditional search -- it's a separate mode that users actively switch into. When you're in AI Mode, the traditional results page is replaced by a conversational AI interface. No blue links. No standard SERP layout. Just an AI that responds to your query and lets you follow up, ask clarifying questions, and explore a topic in depth.
Think of it as Google's direct answer to Perplexity and ChatGPT. It's designed for complex, multi-step queries where a single summary box wouldn't cut it. A user might start with "what's the best project management software for a remote team of 20" and then follow up with "does it integrate with Slack" and "what do people say about the onboarding experience" -- all within the same session.
Because AI Mode is opt-in and conversational, it attracts a different kind of user intent. These aren't quick lookup queries. They're people doing real research, comparing options, or working through a decision. That matters a lot for which brands get mentioned and why.
How they differ: a direct comparison
| Dimension | AI Overviews | AI Mode |
|---|---|---|
| User activation | Automatic (no opt-in) | User actively selects the mode |
| Search interface | Sits on top of standard SERP | Replaces the SERP entirely |
| Query type | Informational, lookup, how-to | Complex, conversational, multi-step |
| Follow-up queries | Not supported | Core feature |
| Citation style | Citation cards with source links | Inline citations, deeper sourcing |
| Source preferences | Indexed web, Wikipedia, YouTube, official sites | Broader web, forums, reviews, comparison content |
| Traffic impact | Some click-through from citation cards | Lower direct traffic, higher brand influence |
| Optimization signals | Traditional SEO signals + content quality | Topical authority, conversational depth, entity coverage |
The Semrush data referenced in recent LinkedIn analysis makes this concrete: AI citations in AI Mode are not simply mirroring traditional rankings. AI Mode pulls from a wider, more diverse set of sources -- and the overlap with who ranks in AI Overviews is smaller than most people assume.
Otterly.AI's research found that AI Overviews lean heavily on YouTube, Wikipedia, and official/authoritative sites. AI Mode casts a wider net, pulling in forum discussions, review content, and comparison pages more readily.
Why this matters for GEO strategy
The practical implication is that you can't treat "Google AI visibility" as one thing. Here's where the strategies diverge.
Optimizing for AI Overviews
AI Overviews behave more like a curated answer layer. Google is essentially asking: "which page on the web best answers this query in a trustworthy, citable way?" The signals that matter here overlap heavily with traditional SEO:
- Pages that already rank well in organic search have a significant advantage
- Structured, well-organized content that directly answers the query performs better
- E-E-A-T signals (experience, expertise, authoritativeness, trustworthiness) matter a lot
- Schema markup and clear factual claims help Google extract citable information
- Wikipedia, official brand pages, and high-authority domains get disproportionate citation share
If you're not ranking on page one for a query, your chances of appearing in the AI Overview for that same query are low. The two are correlated -- not perfectly, but enough that traditional SEO investment still pays off here.
Optimizing for AI Mode
AI Mode is a different animal. Because it handles conversational, multi-step queries, it rewards content that covers topics in depth rather than just answering one question well. A few things that seem to matter more here:
- Topical authority across a subject area (not just one well-optimized page)
- Content that addresses follow-up questions and related angles
- Comparison content, review content, and use-case-specific content
- Forum discussions and third-party mentions (Reddit, review sites) that AI Mode pulls from
- Conversational, natural language that matches how people actually ask questions
This is where the gap between traditional SEO and GEO starts to show up most clearly. A brand with strong organic rankings but thin topical coverage can get outcompeted in AI Mode by a smaller brand that's written comprehensively about a subject.
The intent gap
The user who triggers an AI Overview is often doing a quick lookup. The user who switches into AI Mode is doing research. That's a meaningful difference in purchase intent and decision stage.
For brands selling considered purchases -- software, services, B2B products -- AI Mode visibility may matter more than AI Overviews visibility, even though AI Overviews gets more attention. A mention in an AI Mode response to "what's the best [category] tool for [specific use case]" is worth more than a citation in an AI Overview for a generic informational query.
What Google says about appearing in both
Google's Search Central documentation on AI features is worth reading directly. The core message: the same fundamentals that help you rank in Search help you appear in AI features. Crawlability, indexability, helpful content, and E-E-A-T are the baseline.
But Google also acknowledges that AI features may surface content differently than traditional search. The documentation covers how to control your content's appearance in AI features (via robots.txt and meta tags) and how to measure performance -- though Google Search Console's AI-specific reporting is still catching up to the reality of how these products work.
One thing Google is clear about: there's no separate submission process or special markup that guarantees AI feature inclusion. You can't "apply" to be cited. You earn it through content quality and relevance.
Tracking them separately is non-negotiable
Here's a practical problem many teams run into: they're monitoring "Google" as a single channel in their GEO tracking setup. That conflates two products with different citation patterns, different source preferences, and different user intents.
If your AI Mode visibility drops while your AI Overviews visibility holds steady, you need to know that -- because the fix is different. AI Mode might require deeper topical coverage or better third-party presence. AI Overviews might require stronger on-page optimization or schema improvements.
Tools like Promptwatch track AI Mode and AI Overviews as separate surfaces, so you can see exactly where you're winning and where you're not -- and which specific prompts you're missing in each.
Other tools in the GEO monitoring space vary in how granularly they separate these two Google products. If you're evaluating platforms, it's worth asking specifically whether they distinguish between AI Mode and AI Overviews in their reporting.
Content strategy implications
Given all of this, here's how I'd think about adjusting content strategy for 2026:
For AI Overviews
Keep doing what works in traditional SEO, but add a layer of "citability." That means:
- Clear, direct answers to specific questions early in the page (not buried after 500 words of preamble)
- Factual claims that are easy to extract and attribute
- Structured content with headers that match how people phrase queries
- Strong E-E-A-T signals -- author bios, citations, first-hand experience
For AI Mode
Think about topical coverage, not just individual pages. Ask yourself: if someone spent 20 minutes in AI Mode researching your product category, would your brand come up naturally across multiple angles of the conversation? If not, you have content gaps.
Specifically:
- Write comparison content ("X vs Y for [use case]")
- Cover objections and edge cases, not just benefits
- Create content that addresses the follow-up questions your customers actually ask
- Build presence on third-party platforms that AI Mode pulls from -- Reddit, G2, Capterra, YouTube
For both
The underlying requirement is the same: be the most useful, credible source on topics your customers care about. The difference is that AI Overviews rewards page-level excellence while AI Mode rewards brand-level depth.
Tools worth knowing about
If you're building out a GEO monitoring and optimization workflow, a few tools are worth considering depending on your needs and budget.
For enterprise teams that need deep analytics across both AI Overviews and AI Mode, along with content gap analysis and content generation:
For teams that want solid monitoring without the full platform investment:
For agencies managing multiple clients across AI search surfaces:
The bottom line
Google AI Overviews and Google AI Mode are not the same product. They serve different user intents, pull from different sources, and respond to different optimization signals. Treating them as one thing -- or optimizing for one while ignoring the other -- leaves real visibility on the table.
The practical starting point: figure out which queries matter most to your business, then check whether those queries trigger AI Overviews, AI Mode, or both. That tells you where to focus. From there, the optimization work is different for each surface -- but the underlying principle is the same as it's always been: be the most useful, credible answer to the questions your customers are asking.
What's changed is that "useful and credible" now needs to be legible to AI systems, not just human readers. That's the real shift GEO is asking you to make.