Is GEO Like SEO?
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TL;DR: Generative Engine Optimization (GEO) shares the same ultimate goal as traditional SEO – boosting your brand’s visibility in search – but it targets AI-driven search engines instead of just human search algorithms. GEO is essentially SEO for the AI era, meaning many SEO fundamentals still apply, yet the tactics expand so that AI (like ChatGPT or Google’s generative search) can recognize and cite your content in their answers. In short, GEO is like SEO in spirit, but with key differences in how you optimize and measure success.
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Consumer behavior is changing

Generative AI is rapidly changing how people search for information. By late 2024, Google was displaying AI-generated answers in about 33% of search queries, and roughly 1 in 10 internet users turned to generative AI tools like ChatGPT before using a traditional search engine. Now, as we enter Q2 of 2025, that number keeps climbing.
As I’ve said before, many consumers don’t even realize they’re using AI-powered search—because these capabilities are being quietly integrated into existing apps, interfaces, and devices, all powered by foundational models. This shift has marketers asking: Is optimizing for AI search—sometimes called AI search optimization or GEO—the same as doing SEO?
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Generative Engine Optimization (GEO) is a term that has emerged to describe ensuring your content gets noticed by AI answers – essentially “SEO for the AI era”. The idea is to make sure that when someone asks a chatbot or AI-powered search about your product or topic, your brand is featured in the answer. GEO certainly draws on many classic SEO principles, but it’s not a simple rebranding of SEO. Below, we’ll explore where GEO and SEO overlap, where they differ, and how you can leverage both to maximize visibility in this new search landscape.
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How GEO is Similar to SEO

GEO isn’t a completely new playbook written from scratch – it inherits a lot of SEO’s DNA. Here are several ways Generative Engine Optimization is like traditional SEO:

• Visibility & Traffic Goals: Both GEO and SEO ultimately aim to increase the visibility of your content online and attract more targeted audience attention . The end goal is the same: get your brand in front of people searching for something you offer.
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• Keyword & Content Strategy: Just as with SEO, GEO relies on understanding what topics, questions, and keywords your audience is searching for, and then creating high-quality, relevant content to match those queries  . In both cases, doing solid research on search queries (whether they’re typed into Google or spoken to an AI assistant) is foundational.
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• User Experience Focus: Both SEO and GEO reward content that delivers a good user experience. That means easy-to-read, well-structured content that answers real user needs. If your content is engaging and genuinely helpful to a human reader, it’s more likely to be favored by Google’s algorithm—and also to be understood and used by AI models in their responses. For the past couple of years, we’ve seen too much thin content written “for the algorithm.” But that approach won’t cut it anymore. Today, you should be writing for humans—because AI now reads and evaluates content like a human. And when it finds high-quality, conversational content that clearly answers a question, it’s far more likely to use that content in its responses. Sure, technical best practices and formatting still matter. But the main focus should be creating useful, well-articulated content that directly addresses the questions your audience is asking.
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• Technical Foundations: The technical best practices of SEO also support GEO. Fast load times, mobile-friendliness, clean site architecture, and structured data (schema) all help traditional search engines crawl your site—and they help AI algorithms parse and understand your content just as effectively. Ensuring your content is machine-readable and well-formatted benefits both search bots and AI systems alike. If you want to go deeper on how to structure content specifically for AI-driven results, I’ve written a full guide on how to optimize for generative AI—I highly recommend giving it a read. It breaks down the tactical and strategic moves that can boost your AI visibility today.
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• Authority & Trust:  Building credibility is crucial in both realms. SEO has long emphasized earning backlinks and demonstrating E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) to climb rankings. Similarly, AI engines favor information from sources they perceive as trustworthy. If your brand is consistently mentioned by reputable websites or backed by expert content, that trust carries over into both Google’s results and AI-generated answers.
  Here’s where it gets interesting—this opens a real window for smaller players in the AI search space. You don’t need to be a household name to show up in ChatGPT’s or Perplexity’s answers. Instead, you should double down on creating high-quality content around your niche topics. That alone can begin building your credibility in the eyes of AI models. And don’t stop at just your website—share your insights across the broader web: LinkedIn, Quora, Reddit, Medium, industry forums. These platforms are not just for people anymore—RAG-based AI engines actively pull information from them when generating responses. The more your voice appears in relevant, trusted places, the more likely an AI is to recognize and cite your content. At Superlines, we call this MSO – Multi-Source Optimization. It’s the practice of ensuring your brand’s presence, expertise, and insights are distributed across multiple authoritative sources—not just for SEO, but to influence how AI models perceive and surface your brand. Every marketing team should start incorporating MSO into their strategy right now.
  
  My advice to you: Start now, even if you’re small. AI rewards consistent, credible content across the web. If you become the go-to voice on your niche topic, the AI will notice—and start including you in its answers that leads to more high-intent traffic and revenue.
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• Continuous Adaptation: Both SEO and GEO require ongoing effort and adaptation. Google updates its search algorithms regularly, and in the AI world, models like GPT, Bard, Perplexity, Claude, and Gemini also evolve—frequently changing how they interpret and prioritize content. Marketers need to continuously monitor performance and adapt strategies as these models shift. Neither SEO nor GEO is a “set it and forget it” game—they’re ongoing processes of refinement. And especially in the case of GEO, things are moving fast. That’s why it’s critical to stay up to date on your current visibility across AI platforms—and improve it just like you would with traditional SEO.
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To summarize: GEO and SEO share the same purpose (more visibility) and many of the same best practices – creating quality content, optimizing for relevant keywords, providing a good user experience, and building authority. If you’re already doing good SEO, you’ve laid much of the groundwork for GEO. Woo!

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How GEO Differs from SEO

While GEO builds on SEO fundamentals, it also introduces new dynamics and challenges. Optimizing for an AI-generated answer isn’t identical to optimizing for a page of Google results. Here are the key differences:

• Search Results vs. Direct Answers: Like we've written many times before, traditional SEO is about earning one of the ten blue links on a search engine results page. In contrast, GEO is about getting your content woven into a single AI-generated answer or conversation. In SEO you fight to be the result; in GEO you aim to be part of the result. An AI like Bing Chat or ChatGPT doesn’t give a list of links – it gives an answer synthesized from multiple sources. So instead of asking “How do I rank #1?”, GEO marketers ask “How do I get included in what the AI says?”
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• One Winner vs. Many Sources: On Google, one page can “win” a query (that coveted #1 spot). But an AI answer often pulls information from numerous pages and sources at once. No single website wins outright. Your GEO strategy can’t rely on just one piece of content dominating; you need a presence across the information ecosystem. For example, if someone asks an AI, “What are the best 4K TVs that fit into my 40 square feet livingroom?”, the model might compile its answer from several articles and reviews. If your brand’s insights aren’t among those sources, you’re absent from the answer. GEO thus pushes you to ensure your content (or products or experts) are mentioned in as many relevant places as possible.
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• Keywords vs. Natural Language: SEO has traditionally been about targeting specific keywords and phrases users type in. Generative AI, on the other hand, understands context and natural language much more deeply. It’s not looking for an exact match of a keyword; it’s looking for content that semantically answers the user’s question. This means GEO is less about keyword density and more about covering topics in a way an AI can easily interpret (remember the human approach we mentioned earlier?). For instance, an SEO-minded blog post might focus on the keyword “email marketing best practices,” while a GEO-optimized one will make sure to directly answer likely questions (“What are the best practices for email marketing in 2025?”) in a clear, concise way. The content should be written in a conversational, Q&A style so an AI can pull a self-contained nugget to answer a user.
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• Click Traffic vs. “Zero-Click” Answers: With SEO, success often means a user clicks through to your website from the search results. With AI answers, the assistant might give the user what they need without a click. That means you could get brand exposure in an answer without getting a site visit. It’s a double-edged sword: the user hears your brand or content mentioned (good for awareness), but you might not get the traffic (challenging for lead generation). This is similar to the “zero-click search” phenomenon, now amplified – users receive an AI-generated summary that often bypasses websites entirely. Marketers need to adjust their expectations and metrics: the value of GEO is sometimes in the mention itself, even if the click doesn’t follow immediately.
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• Measuring Success Differently: Because of this shift, the metrics for GEO success differ from traditional SEO. Instead of just tracking Google rankings and organic traffic, you’ll be looking at new signals—like how often your brand is cited by AI systems, or how much referral traffic is coming from AI chat interfaces. For example, you might track how many times ChatGPT, Bing Chat, or Gemini mention your brand, or whether snippets from your content are showing up in AI-generated answers. Traditional SEO metrics (rankings, clicks) don’t tell the whole story here. New KPIs include AI citation frequency, share of voice in generative results, and referral traffic from AI chats. This might come as a surprise to many, but Superlines already tracks all of this. Our platform monitors your brand’s share of voice and citations across major AI chat systems—including Claude, Gemini, Perplexity, ChatGPT, and Mistral. Even more, Superlines goes deeper into what we call the AI Search Index—a view of how your brand and services are performing at the industry level, compared to your competitors. It doesn’t just show you whether you’re mentioned—it gives you competitive intelligence, including the most common prompts and questions related to your field and who’s dominating the answers. In short, GEO requires a rethink of marketing analytics: being mentioned in AI-generated answers becomes a new sign of success—even if it doesn’t always translate to a click. (And yes, new solutions are emerging to help measure this. Superlines is leading that charge.)
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• Optimization Tactics: Executing GEO involves new tactics that go beyond the standard SEO checklist. For one, it’s crucial to format your content in a way that’s AI-friendly. That might mean starting a blog post with a concise TL;DR summary (something an AI can directly quote), including FAQ sections that answer common user questions, and making sure your content is fact-rich and up-to-date—since outdated or vague content is often ignored by AI models. GEO also places far more emphasis on off-site presence. Getting featured on high-authority websites, participating in community Q&A platforms, and having a presence on Wikipedia or industry directories can significantly boost your chances of being pulled into an AI-generated response. Let’s repeat this point (because it matters): Generative models train on and crawl a wide swath of the web. If your brand shows up consistently across reputable sources—whether it’s a blog, a Reddit thread, or a LinkedIn post—the AI is far more likely to “know” about you in essence, unlinked brand mentions across the web are becoming just as valuable as traditional backlinks in influencing AI results. That’s a big shift. While classic SEO focuses on optimizing your own site, GEO is just as much about managing your broader digital footprint.So don’t just publish on your blog and hope for the best. Start doing Multi-Source Optimization (MSO)—share your expertise across as many platforms, channels, and forums as possible. Be present, be helpful, and be everywhere your audience (and the AI) might be looking.
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Key Takeaway: GEO differs from SEO in how results are delivered and what “success” looks like. Instead of climbing a ranking ladder, you’re aiming to be included in AI-driven answers. That means optimizing content for direct answers, spreading your expertise across the web, and adjusting how you measure impact. The core principle—provide valuable, authoritative information—remains, but the context in which that information is found and presented is new. A welcome change where quality matters again instead of spammy thin content made for algorithms only.

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Why GEO Matters for Marketers

You might be thinking: SEO is already a lot to handle, is GEO really worth the effort? The answer is yes—if you want to stay ahead of how search is evolving. While generative AI search is still in its early stages, it’s growing explosively and starting to influence consumer behavior in significant ways.

Consider these trends:

• Rapid Adoption: Generative AI search went from near zero to a noticeable slice of global search activity in just a couple of years. By 2024, ChatGPT was handling an estimated 37 million searches per day—still a small fraction of Google’s 14 billion, but a massive figure for a single AI-powered service. Overall, AI-driven tools accounted for under 2% of global search queries in 2024—tiny, but growing fast. In fact, the volume of AI searches was doubling roughly every two months by the end of 2024. What starts as 1–2% could quickly become 10%.At Superlines, we’re already seeing the early impact of this shift: the drop in traditional Google traffic varies significantly by industry, and it’s most noticeable in sectors where consumers are used to comparing options—or where products and services are complex to evaluate. And this isn’t just a B2C phenomenon. There’s no exclusion when it comes to B2B—because behind every B2B search is a person acting like a consumer. Whether they’re in procurement, marketing, or IT, they’re using the same tools—ChatGPT, Perplexity, Microsoft Copilot—to look for smarter solutions, benchmark options, and make decisions. The effect is even sharper if your target audience is under 45. In these demographics, the adoption of generative AI for work-related research, strategy, and vendor discovery is accelerating fast. For B2B brands, visibility in AI search isn’t just relevant—it’s becoming a decisive edge.
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• Surging Traffic from AI: There’s growing evidence that AI-generated answers aren’t just diverting attention—they’re starting to drive serious traffic. During the 2024 holiday season, click-through traffic from AI chatbots to U.S. retail websites jumped 1,300% compared to the year before. And that wasn’t just a seasonal spike—by early 2025, AI referral traffic was up 1,200% compared to mid-2024. That said, some sites that should be getting visibility aren’t—often because they’re not accessible to AI crawlers, or they’ve blocked scraping in ways that prevent inclusion in AI-generated results. If you’re not visible, traffic can’t follow. Looking back at Q1 2025 vs. Q1 2024, some industries have already seen a 30% drop in organic traffic from traditional search. This chart from Altimeter highlights just how steep that shift has been:

• Changing Consumer Behavior: Users are growing comfortable with AI as a starting point for finding info. Surveys show that 39% of U.S. consumers have used generative AI for online shopping research, and 53% plan to do so in the next year . There was a study done in 2023 where, 13 million Americans said they already use a generative AI like ChatGPT as their primary search tool in 2023, and that number is projected to skyrocket to 90 million by 2027. But now, in 2025, with Meta AI, Microsoft Copilot, and a growing range of embedded assistants across apps and devices, it’s likely that we’ll surpass that 90 million mark even earlier. And here’s the kicker: many users don’t even realize they’re using AI search—because the technology is being seamlessly woven into tools they already rely on daily. We’re seeing similar behavior shifts in other domains too. For instance, AI-based trip planning in the travel industry has spiked, as consumers increasingly trust AI tools to help them research, compare, and decide. All of this points to one thing: a growing segment of your audience is encountering your brand (or not!) through AI-powered search experiences instead of traditional ones. If your content isn’t optimized for that shift, you may already be missing valuable visibility.
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• High-Intent Engagement: Interestingly, when users do click through from an AI-generated answer, they tend to be highly engaged. Adobe Analytics found that visitors arriving via generative AI had 8% longer time on site, viewed 12% more pages, and had a 23% lower bounce rate compared to the average visitor. In other words, if an AI cites or recommends your site and the user follows through, they’re already primed with relevant context—and more likely to trust what they find. We’ve seen this firsthand at Superlines. Several Enterprise customers discovered us through AI chats while exploring topics like GEO and AI Search. These weren’t casual visitors—they came in already warmed up, already curious, and ready to talk. And here’s something not enough people are saying out loud: the more time users spend sparring with their AI chat assistants, the more trust they build with them. (I know I do—my chats remember our history and increasingly feel like an extension of how I think.) That trust transfers. So when an AI assistant brings your brand into the conversation, it’s like being introduced by someone the user already believes in. You’re not just another link—you’re hand-delivered, with credibility baked in.

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All these points paint one Ghibli-like picture (sorry, had to—the internet can’t stop talking about this lately): AI-driven search is a fast-growing new marketing channel. And ignoring it could mean missing out on where the puck is headed.
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Perhaps the biggest reason GEO matters is the risk of invisibility. If your brand isn’t showing up when people ask AI for recommendations, it’s akin to not ranking at all on a traditional SERP. As the Superlines Co-Founder&CTO Kimmo Ihanus puts it, “if an AI assistant can’t find or won’t mention your brand, it’s as if you don’t exist to a whole segment of potential customers.” Those are strong words, but they underline the point: you don’t want to be invisible in any major medium of search.
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On the flip side, there’s a real opportunity here. Because GEO is so new, many companies haven’t fully invested in it yet. The playing field is less crowded than traditional SEO. A savvy strategy could let you leapfrog competitors in the AI answer space. For example, if your competitors are asleep at the wheel, your content might become the go-to source that AI chats mention for key industry questions. Capturing that mindshare early can pay dividends, as users begin to hear your name from their trusted AI assistants. Add GEO to your marketing mix so you cover both bases. You want to show up on the Google results and be the one that Siri, Alexa, ChatGPT or all the other AI Chats talks about. Brands that integrate both strategies will have a broader reach than those sticking to SEO alone.

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GEO in Action: A Quick Use Case
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To make this concrete, let’s walk through a hypothetical example of GEO at work:

Imagine you run a B2B project management software company. Your SEO team has worked hard to get your website ranking on page one for “best project management software” on Google. That’s great for traditional search visibility. However, when you go and ask ChatGPT or Bing’s AI, “What are the best project management tools?”, the AI’s answer summarizing the top options doesn’t mention your brand at all – it pulls from some tech review articles that highlight three of your competitors.
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This is a classic GEO problem. Even though your SEO is strong, in the world of AI answers you’re invisible. So you decide to tackle it:

• First, you identify the kinds of queries where you want to appear (e.g. “best project management software,” “project management tools for small business,” etc.).
• You then create an authoritative, in-depth guide on your site comparing the top project management solutions (fairly, but of course including your own product’s strengths). You include concrete data, maybe a customer success story, and a clear summary of why someone might choose your tool.
• Next, you do a bit of digital PR: perhaps you pitch a guest article to a popular project management blog about emerging trends, where your CEO mentions your tool in context. You answer a few relevant questions on Quora about project management, and you ensure your Wikipedia page (if one exists for your product/company) is updated and factual. Essentially, you spread your expertise to places the AI might “look”.
• A few weeks later, you ask the same AI tools the same question again. Now, ChatGPT’s answer says something like: “Many professionals mention tools like X, Y, and Z (your brand) for project management – for example, YourBrand is often praised for its intuitive interface in team surveys.” Suddenly, you’re in the AI-generated mix.

You didn’t “rank #1” (AI isn’t ranking results numerically), but you achieved GEO success: the next user who asks their AI assistant for a solution in your category will hear your brand name. That’s a win. It may lead them to specifically inquire about you or even request a direct link.

This example shows how GEO might play out in practice. It’s about covering your bases: having the content that the AI can draw on, and being present in the sources the AI trusts. It’s not magic – it’s an extension of good content marketing and SEO into new channels.
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Tracking GEO Success: New Metrics for AI Visibility
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One challenge with GEO is knowing if you’re winning. In SEO, you can check your rankings and organic traffic easily. But how do you tell if you’re being picked up by AI search engines? There’s no public “page 1” for ChatGPT responses.

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This is where new tools and techniques come into play. Superlines’ AI Search Tracker, for example, is designed to fill this gap by monitoring your brand’s presence in AI-generated results. Instead of tracking just keyword rankings, it tracks brand mentions and citations across generative search platforms. In practice, this means it can scan the answers given by systems like ChatGPT, Claude, Mistral, Perplexity Gemini etc., and see if your brand or content is referenced.

Here’s how tracking GEO might work:

• Visibility Monitoring: The tool checks a set of relevant AI queries (which you can configure, akin to keywords) and detects if your brand is mentioned in the AI’s answer. For example, are you listed as an example, or is a sentence from your site quoted? It basically gives you an “AI visibility” report.
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• Sentiment & Context: It’s not just if you’re mentioned, but how. Superlines’ tracker even analyzes the sentiment or tone when your brand is referenced. This is important – you’d want to know if an AI is summarizing your product as “highly rated” or “has reliability issues,” for instance. The platform provides an overview of whether your mentions are positive, neutral, or negative, along with the actual snippet of text around the mention.
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• Competitor Comparison: GEO tracking tools often let you keep tabs on competitors as well. You can discover if other brands are being cited more frequently for certain queries. Superlines, for example, will show you if Competitor X keeps showing up in AI answers where you don’t, which is a signal that you might need to create content to compete in that topic area.
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• Actionable Insights: The best part of tracking is turning data into action. If you find, for instance, that you’re never mentioned for a critical question in your niche, you can directly work on that (maybe publish a new explainer or case study to fill the gap). Or if you see the AI keeps quoting a statistic from an outdated blog post of yours, you might update that content for accuracy. Superlines’ platform goes a step further by providing recommendations – it analyzes your brand, the AI search results, and even your competitors to suggest what topics you should cover or what content changes could improve your chances of getting cited. In essence, it answers, “what should I do next to boost my AI visibility?”
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Traditional SEO tools weren’t built for this kind of analysis—they fall short in the AI era because they can’t detect when your brand appears in an AI-generated answer or measure non-link-based visibility. But as GEO rises in importance, having AI-specific analytics is becoming just as critical as having SEO analytics. By tracking your GEO metrics, you can actually quantify progress—“Last quarter, we appeared in 10% of our tracked AI queries; now we’re in 25%.” That kind of data helps you clearly demonstrate value to your team, your leadership, or your clients. And let’s be honest: in digital marketing, it’s hard to improve what you can’t measure. Without knowing your current position in AI search visibility, any optimization effort is just guesswork. That’s exactly what GEO tracking solutions are designed to solve.

With Superlines and its AI Search Index, you don’t just get surface-level data—you unlock deep, industry-level insights that help you understand how your brand performs in AI search compared to others in your space.

Think of Superlines as the Semrush or Similarweb of AI Search—built specifically to help you navigate, benchmark, and win in this new search environment.

And let’s be honest: in digital marketing, it’s hard to improve what you can’t measure. Without knowing your current position in AI search visibility, any optimization effort is just guesswork. That’s exactly what GEO tracking solutions are designed to solve.

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Adapting Your SEO Strategy for GEO: A 4-Step Framework
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How should you get started with GEO? The good news is you don’t need to throw out your SEO playbook – you just need to extend it. Here’s a simple framework to integrate Generative AI optimization into your existing content strategy:

1. Audit Your AI Presence: Begin by assessing where you stand. Pick a handful of important questions related to your business and ask AI search engines (ChatGPT, Bing Chat, Google’s AI search, etc.) those questions. Note if and how your brand or content is mentioned. You can do this manually and/or use an AI search tracker to automate the process. The goal is to map out gaps – queries where you should appear but don’t. Also pay attention to which sources the AI is citing for those answers (are they competitor blogs, news articles, Wikipedia?). This gives you clues about where the AI is looking for information.
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2. Optimize Content for AI Queries: Next, take your findings and beef up your content to target those gaps. This might involve creating new content or updating existing pages. Focus on answering the question directly and succinctly somewhere in your content (a highlighted paragraph or an FAQ section can work wonders). For example, if the query is “How do I improve email open rates?”, make sure you have a blog post or guide that explicitly answers that question, and perhaps even starts with a 2-3 sentence summary of the answer. Use clear language and include any facts or data an AI might find compelling. Remember, you’re almost writing for two audiences: the human reader and the AI that might quote you. Techniques like structuring your content with headings that match question phrases, and adding schema markup (like FAQ schema), can help AI models identify the relevant pieces of your content.
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3. Expand Your Digital Footprint: SEO taught us to build backlinks; GEO will teach us to build mentions. Work on getting your brand and expertise out there on the broader web. This could mean contributing guest articles, getting press mentions, participating in forums or Q&A sites, and ensuring any industry listings or Wikipedia entries for your brand are accurate. The more trusted external sources that mention you or your content, the more likely an AI is to regard you as a credible reference . Think of this as building the AI’s “knowledge” of your brand – you want to be present wherever it might look for reliable information (industry blogs, news sites, community discussions, etc.). Even unlinked brand mentions can help raise your profile in the eyes of an AI.
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4. Monitor and Refine: Finally, treat GEO as an ongoing effort. Continuously monitor those AI search results over time. Have your tracking tool or routine in place to see if you start appearing more often (hurray!) and if not, adjust. Maybe the AI is favoring a particular source – can you get featured there? Maybe users are phrasing a question differently than you expected – can you tweak your content to match that phrasing? Keep an eye on new developments too (like new AI search products launching, or updates to AI algorithms) so you can adapt. GEO is new for everyone, which means there will be a lot of learning and adjusting in the coming months. Stay nimble and be willing to experiment.

Following this framework, you’ll systematically improve your chances of showing up in AI-driven searches. It’s basically applying the rigor of SEO to this new frontier of AI search.

And remember, many of these optimizations will benefit your SEO as well. When you make a piece of content more concise and authoritative for AI, you often end up with a better page for humans (and Google) too. In that sense, GEO and SEO efforts can go hand in hand.

Lets wrap it up
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So, is GEO like SEO? Yes – in that you’re still optimizing content to be more visible and useful for searchers. The fundamental ethos is the same: understand what your audience is asking, create great content to answer them, and make sure it’s delivered in the right way. But GEO is also a step beyond traditional SEO, adapting those practices to a new kind of search engine – the kind that doesn’t just index and rank, but reads and writes.

For modern marketers, GEO is becoming an essential complement to SEO. We’re entering an era of AI marketing where having excellent content isn’t enough; you also need the AI intermediaries to recognize that content as excellent. The companies that master both SEO and GEO will have a visibility advantage across all the ways consumers seek information. It’s not about choosing one over the other. It’s about evolving your search strategy to cover both the blue links and the AI-generated snippets/conversations.

In practical terms: keep up your SEO best practices and start applying GEO thinking. Ensure your brand is present and persuasive when an AI speaks on your topic. Generative Engine Optimization/ AI Optimization (AIO) is growing very fast asa field and  where forward-thinking marketers can leap ahead. By staying data-driven and adaptive, you can make sure your brand’s voice is heard – whether the answer comes from a search engine or a generative AI.
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Once again, thank you for reading—and feel free to connect with me on LinkedIn if you’d like to continue the conversation about AI search visibility.

More importantly, if you haven’t already, start tracking your AI Search visibility with Superlines. Whether you’re just getting started or you’re already scaling, it’s the smartest move you can make right now.

👉 If you’re an Enterprise, reach out to us directly. We’ll get you set up for high-volume tracking and ensure you have the data and insight you need to start optimizing your visibility across AI platforms—fast.

Best,
Jere Meriluoto
CEO, Co-Founder at Superlines

ps. For further reading on tactics to optimize for AI-driven search, check out our guide on How to Optimize for Generative AI, which dives deeper into content strategies for GEO.