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A 2025 study by Elon University surveying 500 adults in the U.S. found that 52 percent of them now use LLMs, and 34% use them at least once a day, and that number is sure to grow. Whether we’re using them for work, fun, or handling personal chores and projects, AI systems have woven their way through our daily lives relatively quickly in the past few years.
The major players in the AI world offer systems that each have their own strengths and weaknesses, and achieving visibility in them is what spawned the creation of GEO. Understanding them will be the ongoing challenge for marketing professionals.
Although Google remains the dominant force in search making up about 10% of all U.S. desktop activity, its overall searches decreased by 20% in 2025, and AI-powered answers are to blame. But with AI Overviews, AI Mode, and the Gemini model family, Google is reshaping the search experience.
AI Overviews launched in May 2024, pulling content from across the web and synthesizing it into direct answers at the top of the search results page. What used to be the top position is now an AI-generated summary that users don’t need to click away from or scroll past. These summaries now appear in over 50 percent of Google searches.
AI Mode, which started rolling out to everyone in May 2025, lets users switch their entire search experience into an AI-first interaction. Those who do get their queries answered conversationally, and the generative interface becomes the default surface, rather than the links below.
Gemini powers much of this behind the scenes, fine-tuning Google’s understanding of language, context, and user intent. Google’s CEO has also declared it to be the future of search, poised to eventually become the default search function. And with a recent update to Gemini 3 Flash that promises improved performance in reasoning, tool use, and multimodal capabilities, Google might be poised to rule the AI race.
For brands, this evolution means:
This has been referred to in the SEO industry as the Great Decoupling, a term first mentioned by X user Darwin Santos.
This decoupling briefly came back together again after Google removed the num=100 parameter, but it has since split again. It’s clear now that even if impressions are increasing, the clicks aren’t coming back.
From May to July 2025, according to SimilarWeb data, fewer than 20 percent of Google search users clicked a link to an external site, and fewer than 4 percent did so in AI Mode. This sharp gap in outbound clicks from AI Mode signals the need to completely redefine KPIs for measuring organic search performance.
That makes GEO critical. You’re optimizing to be part of the answer, to be cited (if at all) in an AI-generated summary, and to have your content recognized as trustworthy and authoritative by a generative model.
Launched in November 2022, ChatGPT became the first mainstream face of generative AI, showing people that it can be a collaborative partner and not just a search tool.
ChatGPT handles a wide range of use cases:
But unlike Google, OpenAI isn’t trying to replicate the search results page. Instead, it’s an interactive experience, in which users can refine their questions and follow up in the same chat.
From a GEO standpoint, OpenAI is a whole new kind of discovery gatekeeper. You’re optimizing for whether ChatGPT can find, understand, and use your content in an answer. And since it can read live web content, your site needs to be:
On the other hand, if your content is vague and unstructured, requires JavaScript, or is buried behind confusing interfaces, ChatGPT might miss it entirely.
Even though OpenAI isn’t technically a search engine, people ask ChatGPT for product recommendations, learning resources, and how-tos. Some skip Google entirely and go straight to AI for fast answers.
While its usage remains lower than Google’s, ChatGPT experienced some of the fastest user growth in tech history, gaining its first 100 million users in just two months. Today, ChatGPT has more than 800 million weekly users, with over 3 billion visits per month. And it continues to expand, with integrations into Microsoft tools, iOS, Android apps, and plug-ins. It’s become established as a key way for people to discover and engage with information.
Most recently, with the release of GPT-5.2, its most advanced artificial intelligence model, it’s become better at creating spreadsheets, building presentations, perceiving images, writing code, and understanding long context.
Perplexity has quickly become one of the most credible players in the answer engine space. While Google and OpenAI dominate because of their massive user bases and product ecosystems, Perplexity stands out for its focus on:
In fact, Perplexity contributed to the inception of the entire GEO industry, when researchers utilized its LLM to explore how to optimize rankings. Today, it boasts 22 million monthly active users.
For GEO, Perplexity is both an opportunity and a challenge:
And with the launch of Sonar Deep Research, the model can now search across hundreds of sources, synthesize insights, and generate detailed reports with comprehensive analysis.
If your site isn’t crawlable in real-time or lacks trustworthy sourcing, you’ll miss out here.
Anthropic’s Claude models are becoming a major force in the generative AI space by focusing on safety, alignment, and trust. From the start, Anthropic designed Claude to follow three core principles:
Anthropic hasn’t built a consumer search engine, but Claude powers discovery in a range of conversational products:
Launched in March 2023, Claude quickly grew a multimillion-user base. Today, it has 18.9 million global monthly active users.
Claude’s strength lies in conversational discovery, especially in professional and knowledge-driven environments. In terms of GEO, Claude uses a broad training dataset combined with curated retrieval systems to surface and summarize relevant content.
However, for a while, it didn’t crawl the live web — a negative aspect, as it was often pulling from outdated information.
For brands and publishers, this again means you must optimize content to be:
As its RAG capabilities expand, we can expect Claude to play a growing role in enterprise search, knowledge bases, and customer support.
SEOs often praise Claude particularly for its coding capabilities. With its release of the newest model, Claude Opus 4.5, it’s even better at coding, agents, and computer use, as well as deep research and working with slides and spreadsheets.
Microsoft took a full-stack approach to generative AI, building its Copilot system into multiple products people use every day.
In search, Bing’s Copilot works a lot like Google’s AI Overviews (though Copilot was first, released in early 2023):
Upon launch, it grew a user base of 18 million active users, and today it sees around 37 million monthly users.
However, Microsoft has also embedded Copilot into Outlook, Word, Excel, and Edge. Since Microsoft 365 has over 450 million paid seats, and Windows remains active on over 1.4 billion devices, this means the company is quietly turning generative search into a native part of everyday productivity.
Through Copilot in Microsoft 365, generative AI powers daily tasks like:
From a GEO perspective, Bing’s Copilot is a growing surface for content discovery. Copilot answers frequently cite web sources, meaning your content can appear in Microsoft’s AI-generated summaries.
However, keep in mind that Bing’s overall search market share is still smaller than Google’s. Google has 1 billion daily active users, while Bing has 100 million. In 2025, Google continued to dominate the global market, holding a 89.54% market share compared to Bing’s 3.98%.
For brands, this means your content should be ready for conversational queries, summaries, and task-driven AI interactions across the Microsoft ecosystem.
As we’ve noted in earlier chapters, both traditional and AI-driven search aim to help users find information, but how they do it differs. And these differences have a significant effect on strategy — because a top organic ranking doesn’t guarantee visibility anymore. Well-structured, clear content often wins, even if it’s not from the biggest site.
Traditional SEO prioritized:
GEO focuses on:
Generative AI models pull information in two ways:
This is the model most content creators are already familiar with, and how traditional search engines like Google and Bing have worked for decades. Crawlers request a page, extract the links, build a queue, and keep doing that until they find the end of the web.
LLMs like ChatGPT and Perplexity, in contrast, don’t crawl — they request. And they don’t index content or cache the pages, so they are requesting in real time.
How it works:
AI expert Metehan Yeşilyurt spent 7 months analyzing 607 million domains and found a link between Common Crawl’s WebGraph and citations. His study explores the influence of Common Crawl data on how AI models prioritize and cite web content and highlights his newly developed tool designed to track website authority using metrics like Harmonic Centrality and PageRank, which may determine a site’s visibility within AI training sets.
Ultimately, this shows that understanding these hidden authority signals is essential for modern search engine and AI optimization strategies. (See more about the Common Crawl Bot in Chapter 13.)
With this method, your content can be discovered and surfaced without additional setup. However, you often have little control over how your content is interpreted, summarized, or cited, and your content may appear in AI outputs without clear attribution.
This model gives AI systems structured, direct access to your content via approved APIs or data partnerships. This is used by ChatGPT and Microsoft’s Copilot integrations.
How it works:
With this model, you retain more control over what data is shared, how it’s presented, and how often it’s updated. However, participation is often limited to companies with licensing deals or API infrastructure, and greater control may come at the cost of reduced organic visibility.
For brands and publishers, your discovery method shapes your visibility and influence in generative systems:
Each of the major players in AI Search brings a different model, interface, and expectation to the way content is discovered. GEO is still evolving, but one thing is clear: Discovery lives across interfaces, in summaries, inside apps, and within conversations. Knowing how each platform works and how your content is accessed gives you the leverage to stay visible in this new layer of the web.
If your brand isn’t being retrieved, synthesized, and cited in AI Overviews, AI Mode, ChatGPT, or Perplexity, you’re missing from the decisions that matter. Relevance Engineering structures content for clarity, optimizes for retrieval, and measures real impact. Content Resonance turns that visibility into lasting connection.
Schedule a call with iPullRank to own the conversations that drive your market.
The appendix includes everything you need to operationalize the ideas in this manual, downloadable tools, reporting templates, and prompt recipes for GEO testing. You’ll also find a glossary that breaks down technical terms and concepts to keep your team aligned. Use this section as your implementation hub.
//.eBook
The AI Search Manual is your operating manual for being seen in the next iteration of Organic Search where answers are generated, not linked.
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