Enter DeepSeek.

While much of the marketing world is focused on Silicon Valley giants, DeepSeek has quietly emerged as a powerhouse. In early 2025, the DeepSeek app temporarily surpassed ChatGPT to become the #1 downloaded free app on the U.S. App Store¹. With over 125 million monthly active users and year-over-year growth exploding by 62%², this is not a platform you can afford to ignore.

For business owners and marketers, this presents a massive, untapped opportunity. DeepSeek R1 doesn’t just retrieve links; it “thinks” through queries using advanced chain of thought reasoning. If you want your brand to be recommended here, you need to pivot from traditional SEO to Generative Engine Optimization (GEO).

Here is your guide to ranking on the industry’s newest disruptor.

Know Your Platform: The “DeepSeek Model”

To rank on DeepSeek, you must understand the machine itself. Unlike GPT-based models that rely heavily on massive compute power to predict the next word, DeepSeek is a cost-efficient model built on a unique architecture.

The Technical Edge

DeepSeek utilizes Multi-Head Latent Attention (MLA) and Grouped-Query Attention to process vast amounts of data without the massive overhead of its competitors³. This architecture allows it to maintain a massive context window (up to 128k tokens) while keeping token costs aggressively low.

For you, this means DeepSeek reads more of your content for less money. It digs deep into long-form guides, technical documentation, and Javascript code that other crawlers might skip. Its DeepSeek R1 model relies on reinforcement learning to verify facts, making content creation that is factual and logical more important than ever.

The Geopolitical Context

It is also vital to understand the constraints. DeepSeek is China’s AI Platform. It was trained using H800 chips (specialized semiconductor chips designed to comply with U.S. export controls)⁴. Because of its origin, it faces scrutiny under regulations like E.O. 13873 and Federal Acquisition Regulations, which restrict its use in U.S. critical infrastructure or government contracts⁵.

Why does this matter for SEO?

Because of these restrictions, the user base is heavily skewed toward the private sector: developers, international students, and tech-forward consumers. The demographics show a younger audience (mostly age groups 18-34) who value problem-solving abilities over general browsing⁶.

Our Strategy to Rank on DeepSeek

Ranking here requires a blend of high-level technical SEO and authority-building. Here is how to dominate the LMSYS Chatbot Arena Leaderboard of search results.

1. Optimize for “Chain of Thought” (Logic Over Keywords)

DeepSeek’s algorithm “shows its work.” It breaks down complex queries using long chains of thought. To rank, your content must be structured to facilitate this.

• Action: Structure your SEO content logically. Use zero-shot prompting principles in your writing, which includes clear premises followed by evidence.
• The “Context Window” Advantage: Because DeepSeek has a large context window size, you should write comprehensive, long-form content. Don’t split articles into tiny chunks; give the AI the full context on one page.

2. Technical Excellence: Server-Readable Content

While DeepSeek is an open-weight language model with impressive capabilities, its crawler (DeepSeekBot) can still stumble on complex client-side scripts.

• Action: If your site relies on heavy Spring Boot applications or complex Javascript code, ensure you are using server-side rendering.
• Mobile Performance: DeepSeek users are mobile-first (evidenced by their Google Play and App Store dominance). Your Google PageSpeed Insights score correlates strongly with crawl frequency here.

3. Build “Stable Entity Signals”

DeepSeek hallucinates less when it finds the same fact repeated across multiple external sources. It needs to know your brand is a “stable entity.”

• Action: Ensure your business details are consistent across the web. Mentions in technical journals, GitHub repositories (where DeepSeek is the #1 starred AI model), and industry news signal authority.
• Share of Voice: You want to be cited in the training data. This means getting coverage in the “seed sets” DeepSeek uses, which are often technical forums, wikis, and high-authority news sites.

4. Target the “Coding Arena”

DeepSeek is a favorite in the Coding Arena Ranking. Even if you don’t sell software, using data structures (like HTML tables, Schema markup, and clear lists) appeals to its logic-heavy natural language processing.

• Action: Use Schema Markup (JSON-LD). This is code that speaks directly to the AI systems, explicitly telling it, “We are a marketing agency” or “We offer customer service solutions.”

How Nomadic Advertising Can Help

Navigating the world of AI platforms, API requests, and FP8 Training nuances can feel like a full-time job; because it is. At Nomadic Advertising, we specialize in keeping your business ahead of the curve.

We don’t just do “old school” SEO. We implement strategies designed for the next generation of search engines through our AI LLM Optimization service.

Our Services Include:

• AI-Ready SEO Audits: We check your internal & external links, mobile performance, and keyword-optimised title tags to ensure you are readable by DeepSeek R1 and DeepSeek V3.
• Content Strategy: We create authoritative content that establishes your expertise, specifically tailored for text generation engines.
• Full-Service Digital Marketing: From social media to local SEO and paid advertising (PPC), we fill the marketing gaps so you can focus on running your business.

The price per token for ignoring this shift is too high. Sign in to the future of search with us. Contact us today for a free proposal.

Sources

1. Business of Apps. (2025). DeepSeek revenue and usage statistics.https://www.businessofapps.com/data/deepseek-statistics/
2. SQ Magazine. (2025). DeepSeek AI statistics 2025: Users, benchmarks & enterprise reach.https://sqmagazine.co.uk/deepseek-ai-statistics/
3. DeepSeek AI. (2024). DeepSeek-V3 Technical Report. GitHub.https://github.com/deepseek-ai/DeepSeek-V3
4. Reuters. (2025). Chinese AI firms stockpile chips amid export controls.
5. Federal Register. (2019). Securing the Information and Communications Technology and Services Supply Chain (E.O. 13873).https://www.federalregister.gov/
6. Digitaloft. (2025). 65 AI in SEO statistics for 2025.https://digitaloft.co.uk/ai-in-seo-statistics/

The post How to Rank on Deep Seek: The New Era of Answer Engine Optimization appeared first on Nomadic Advertising.

For over two decades, the rules were simple: you optimized your website for traditional search engines, aimed for the top “blue link” on the search engine results page (SERP), and worked to drive clicks.

That era is over.

How Does Ranking On Gemini Work?

Google Gemini is rapidly catalyzing a paradigm shift, transforming Google Search from a “search engine” into an “answer engine.” But how does this work? It’s simple: Gemini is the AI engine, and the “AI Overview” is the result.

Instead of just providing a list of links, the Gemini model now generates these AI Overviews, a feature that synthesizes information from multiple sources to provide a single, comprehensive answer directly on the search results page.¹ This entire ecosystem is the new Search Generative Experience (SGE).

This shift presents a terrifying prospect for unprepared businesses: a world where your website traffic evaporates because users get their answers without ever needing to click. But for those who adapt, it represents an unprecedented opportunity to be featured as the definitive authority in their space.

This new discipline isn’t search engine optimization (SEO) as you know it. This is Generative Engine Optimization (GEO). At Nomadic Advertising, we specialize in navigating this new frontier. This guide will walk you through what it takes to rank in the age of Gemini, based on the new rules of the AI Search Engine Optimization landscape.

The New SERP: Clicks vs. Citations

The most visible change in the evolution of search engine technology is the AI Overview (AIO), the answer box generated by the Gemini AI. This is the AI-generated snapshot that now appears at the top of the SERP, and its impact is staggering.

AI Overviews are dominant. They already appear in a significant portion of queries, by some measures, up to 59% of informational searches. They also consume all the valuable real estate. When combined with other features, AIOs can consume approximately 67.1% of the screen on desktop and a staggering 75.7% on mobile devices, pushing even the #1 organic result “below the fold.”²

This creates two massive shifts for marketers:

1. The Rise of Zero-Click Searches: AIOs are designed to satisfy user intent without requiring a click. When a user’s search query is fully answered by the summary, the incentive to visit a source website plummets.³
2. The “Great Decoupling”: Marketers are seeing a bizarre new trend where impressions go up (because they are cited in the AIO and appear in the organic links) while their clicks go down (because the AIO “cannibalized” the click).

In this new environment, the primary goal of AI Search SEO is no longer to earn a click. The new goal is to earn the citation.

Being featured in an AIO, with your Brand Mentions listed as a source, is a powerful, implicit endorsement from Google. The primary return on investment is “brand imprinting.”⁴ This is the core of Generative Engine Optimization (GEO): the practice of strategically structuring content to maximize the probability of being discovered, trusted, and cited by generative AI models.¹

E-E-A-T: The Unskippable Foundation for AI Trust

If GEO is the new strategy, E-E-A-T is its non-negotiable foundation.

Large Language Models (LLMs) like Gemini have a well-documented “hallucination” problem; they can confidently invent facts. This is a massive brand risk for Google. To combat this, Google’s AI must “ground” its answers in verifiable, trustworthy content.

But how does an AI know what’s true? It relies on proxies for trust. That proxy is E-E-A-T:

• Experience: Does the content come from someone with first-hand involvement?
• Expertise: Does the author have specialized knowledge or credentials?
• Authoritativeness: Is the website or author recognized as a go-to source?
• Trustworthiness: Is the site secure, accurate, and transparent?

Google has stated that “Trust is the most important member of the E-E-A-T family.”⁵ In the Gemini era, E-E-A-T is no longer an abstract guideline; it is a critical, technical requirement for establishing machine trust.⁶ Google’s AI will algorithmically prioritize content that exhibits strong E-E-A-T signals to avoid generating dangerous or nonsensical answers.

Building Your GEO Content Strategy

The future of search is being driven by a change in user behavior. Users, neaning natural language people, are no longer typing fragmented keywords. They are interacting with search engines using natural, conversational language, asking full questions. The entire field of natural language processing is advancing to understand the intent behind these complex queries.

Your content strategy must evolve to match this. The goal is to create “citation-ready” content structured for an AI audience.

• Embrace Hyper-Specific Intent: Broad, general articles are failing. For example, an article on “best AI content detection tools” will not be cited for “best free AI detection tools.” In that case we’d recommend to create a new, hyper-targeted page for the “free” intent, that way it is very likely to be cited in the AI Overview.
• Become a Knowledge Architect: You must shift from writing linear “articles” to architecting a structured, queryable knowledge base. Each page should be a “database” of answers that the AI can easily query and retrieve.
• Structure for Machines: A clear content structure is paramount. Use a strict hierarchy of headings (H1, H2, H3) as signposts. Use bulleted lists and HTML tables for complex data, as these are easy for an AI to parse and are prime candidates for citation.
• Create “Answer Nuggets”: Your content creation process must focus on “answer nuggets.” These are short, 40-80-word paragraphs that provide a complete, self-contained answer to a specific question. Each major section should begin with one of these direct answers.⁷
• Prioritize Content Clarity: AI systems favor simple, readable language. It reduces the risk of misinterpretation during summarization. Avoid jargon and write in a natural, conversational tone.
• Focus on User-focused content: The best AI-specific content is relentlessly human. Showcase your “Experience” (the ‘E’ in E-E-A-T) by including personal anecdotes, case studies, and original photos. Integrate community content like testimonials and reviews to show real-world proof.
• Update Content Relentlessly: Freshness is a powerful trust signal. You must update content every 3-6 months, refreshing stats and adding new insights. This signals to Google that your content is a reliable, maintained source of truth.⁸

This comprehensive approach ensures your content ranking is high, not just in the traditional “blue links,” but as a citable source within the AI Overview itself.

Technical SEO: Speaking the AI’s Language with Structured Data

If E-E-A-T is your foundation and structured content is your framework, technical optimization is the language you use to explain it all to the AI.

Structured data, implemented via Schema Markup, is arguably the single most important technical element for GEO. It is the explicit language used to communicate the meaning and context of your content to search engines.

Why is this a game-changer for AI Search SEO? It removes all ambiguity.

Instead of forcing Gemini to guess what your content is about, you are telling it. By adding schema tags to your page, you create a machine-readable “data layer” that translates your unstructured content into a structured format. This provides the AI with verifiable facts, helps prevent hallucinations, and significantly increases the chances of your content being used.⁹

While there are hundreds of schema types, you should prioritize these:

• FAQPage: Directly maps your Q&A content to conversational queries.
• HowTo: Structures your step-by-step guides for the AI.
• Product: Defines price, availability, and reviews for e-commerce.
• Article: Defines the author, publication date, and headline.
• Organization: Defines your company’s official name, logo, and contact info.

This technical foundation, combined with smart internal links (to build topic clusters) and strong off-page brand signals (like consistent brand presence in directories), is what separates brands that are talked about by the AI from those that are ignored.

It’s also important to remember that GEO builds upon, not replaces, traditional SEO. The vast majority of AIO citations are awarded to websites that already rank in the top 12 traditional organic positions.⁷ Your site must still be fast, mobile-friendly, and secure.

Don’t Get Left Behind in the Future of Search

The future of search is already here. It is a fundamental paradigm shift that blends semantic search, voice search, and advanced AI Search Engine Optimization. This new search landscape demands a holistic strategy that integrates E-E-A-T, creates entity-rich content with pinpoint clarity, and uses technical Schema Markup to build machine trust.

The old rules of search engine optimization are no longer enough. You can’t just optimize for the ‘blue links’ of Google Search anymore. You must optimize for Google’s Gemini: the AI engine that creates the AI Overviews that now dominate the page.

And while AI tools are excellent assistants, publishing raw, unedited AI-generated content is a high-risk strategy. Google doesn’t penalize content because it’s AI-made, but it does penalize low-quality content, which is often the result of unsupervised AI generation. The most effective approach is a human-AI symbiosis, where human experts provide the genuine experience, nuance, and fact-checking that machines cannot.⁸

This is not a “wait and see” moment. This is a “move or be forgotten” moment.

At Nomadic Advertising, we are not just SEOs; we are Generative Engine Optimization experts. We understand this new ecosystem from the inside out: from building your foundational brand presence and E-E-A-T signals to architecting the AI-specific content and technical structured data that get you cited.

Don’t let your brand’s voice get lost in the AI summarization. Be the source.

Contact Nomadic Advertising today for a free, no-obligation GEO analysis. Let’s make your brand the definitive answer Google’s Gemini is looking for.

Sources

1. Wikipedia. (2024, October 28). AI Overviews. Retrieved October 30, 2025, from https://en.wikipedia.org/wiki/AI_Overviews
2. Brandastic. (n.d.). Google AI Overviews and Its Impact on SEO. Retrieved October 30, 2025, from https://brandastic.com/blog/google-ai-overviews-and-its-impact-on-seo/
3. Digital Marketing Institute. (n.d.). Google AI Overviews: What Do They Mean for Search? Retrieved October 30, 2025, from https://digitalmarketinginstitute.com/blog/google-ai-overviews-what-do-they-mean-for-search
4. MakDigital Design. (n.d.). Google Gemini SEO Guide 2025: How to Rank in Gemini AI Search. Retrieved October 30, 2025, from https://makdigitaldesign.com/ecommerce-trends/seo-trends/google-gemini-seo-complete-ranking-guide/
5. ClickPoint Software. (n.d.). E-E-A-T as a Ranking Signal in AI-Powered Search. The ClickPoint Blog. Retrieved October 30, 2025, from https://blog.clickpointsoftware.com/google-e-e-a-t
6. Boostability. (n.d.). Google E-E-A-T (2024 Ultimate Guide). Retrieved October 30, 2025, from https://www.boostability.com/resources/google-e-e-a-t-guide/
7. Botify. (n.d.). What Are Google AI Overviews and How Do They Work? Retrieved October 30, 2025, from https://www.botify.com/insight/what-are-google-ai-overviews
8. Writesonic. (n.d.). Google Gemini SEO: How to Rank on Gemini’s Answers. Retrieved October 30, 2025, from https://writesonic.com/blog/gemini-seo/

The post How to Rank on Gemini Before Your Competitors Do appeared first on Nomadic Advertising.

This isn’t a futuristic prediction; it’s happening right now. The rise of powerful large language models (LLMs) like ChatGPT and the integration of generative search into traditional search engines (hello, Google’s Search Generative Experience) represents the most significant upheaval in digital marketing in over a decade. Users are no longer just searching; they’re asking, conversing, and getting direct answers.

The new million-dollar question for brands isn’t “How do I rank on Google?” but “How do I become the answer?”

Welcome to the new frontier: Generative Engine Optimization. In this guide, we at Nomadic Advertising will pull back the curtain on this evolving landscape. We’ll show you how these AI search engines “think,” what they value, and most importantly, what you can do to ensure your brand is not just seen, but cited.

The New Landscape: From SEO to GEO

For two decades, search engine optimisation (SEO) has been the cornerstone of digital visibility. It’s a discipline we know and love, built on a predictable foundation: keyword research, on-page optimization, backlink building, and technical SEO. The goal was simple: convince Google Search that your page was the most relevant result for a specific query and earn a top spot on the results page. The focus was on driving website traffic.

But AI search engine models operate on a different paradigm. They don’t present a list of options; they synthesize information from countless sources to construct a single, conversational answer. This requires a new approach.

Enter Generative Engine Optimization (GEO), also known as Large Language Model Optimization (LLMO).

• Traditional SEO is about ranking a document (your webpage) in a list. Success is measured by position and clicks.
• GEO is about influencing the knowledge base of an AI model so your brand or information is included in its generated answer. Success is measured by citation, brand mentions, and correct representation.

Think of it like this: SEO is like winning a popularity contest to get on the front page of a newspaper. GEO is like being the expert source the journalist quotes directly in the article. Both get you in the paper, but one carries a different kind of authority.

This doesn’t mean SEO is dead, far from it. A strong SEO foundation, a high domain authority, clean site architecture, and quality content, is the entry ticket to this new game. AI models are trained on the web, and they trust authoritative sources. Your existing SEO efforts give you that initial credibility. However, the strategy must now evolve to optimize for search journey optimisation in an era where the journey might end with the first answer.

How AI Like ChatGPT “Thinks“

To influence something, you first have to understand it. While we can’t exactly know what’s going on inside a model like GPT-4, we have a very good understanding of how it was built and what it feeds on.

Large language models are not sentient. They are incredibly complex pattern-recognition machines. They have been trained on a colossal amount of text and data from the internet. We’re talking about a significant portion of the public web. Two of the most important ingredients in this training data cocktail are:

1. Common Crawl: A publicly available dataset that contains petabytes of raw web page data, collected and crawled over many years. It’s the messy, unfiltered, and sprawling digital reflection of humanity, blog posts, news sites, forums, e-commerce stores, everything.
2. Wikipedia: In contrast to the chaos of Common Crawl, Wikipedia provides a massive, curated, and highly structured corpus of information. Its articles are interlinked, fact-checked (to a degree), and written in a neutral, encyclopedic tone, making it an invaluable source for learning about entities, concepts, and relationships.

The AI processes this text, breaking it down into pieces (tokens) and learning the statistical relationships between them. When you ask it a question, it’s not “thinking” or “understanding” in the human sense. It’s making a highly educated prediction about what the most plausible and coherent sequence of tokens is to answer your prompt, based on the patterns it learned from its training data.

What does this mean for your brand?

It means that to “rank” on ChatGPT, you need to have been a prominent, consistent, and trusted part of its education. If the model read about your industry from thousands of high-quality sources, and your brand was consistently mentioned as a leader with positive sentiment, it’s statistically likely to include your brand when generating an answer on that topic. Your goal is to weave your brand’s expertise into the fabric of the web so completely that the AI can’t help but learn from you.

The “Ranking Factors” for AI Search Engines

If we can’t use traditional ranking factors, how do we measure and optimize for visibility in generative search? Based on our research and active client experiments, we’ve identified a new set of core principles for influencing AI models.

Factor 1: Data Prominence & Authority

This is the bedrock. It’s a measure of your brand’s footprint in the AI’s training data. It’s not just about the quantity of mentions, but the quality. A mention in a Forbes article or a respected industry journal carries exponentially more weight than a comment on an obscure forum. The AI learns to associate authority with sources that are themselves cited frequently and widely trusted. This includes:

• Top-tier media publications
• Academic papers and research
• Authoritative industry blogs
• High-quality directories and review sites (e.g., Trust Pilot)
• Government and educational websites

Positive brand mentions on these authoritative sources act as votes of confidence that the AI learns from.

Factor 2: Semantic Clarity & Machine Readability

AI models don’t “read” a webpage like a human. They parse the code. To make it easy for them, you need to speak their language. This is where technical SEO meets the AI era, and its most powerful tool is schema markup.

Schema markup is a code vocabulary you add to your website to explicitly tell search engines (and by extension, LLMs) what your content is about. Instead of letting the AI guess that “Nomadic” is a company, you can use the Organization schema to state it directly. Key schema types for GEO include:

• Organization: Clearly defines your company name, logo, address, and social profiles.
• Article: Specifies the author, publication date, and headline, establishing provenance.
• FAQPage: Structures questions and answers, making your content a perfect source for direct answers.
• HowTo: Breaks down step-by-step instructions in a machine-readable format.

Properly implemented schema removes ambiguity and feeds the AI clean, structured data about your brand and expertise, making your content a prime candidate for citation.

Factor 3: Content That Answers, Not Just Ranks

Content marketing has always been about providing value, but now the focus must be razor-sharp. While broad keyword research is still useful, understanding keyword intent is paramount. People are asking AI full questions in natural language. Your content needs to answer them directly.

You can use different tools to discover the specific questions your audience is asking. Structure your blog posts and articles around these questions. Use clear headings, provide concise answers upfront, and then elaborate with depth and data. Original research, unique data points, and expert insights are gold. This is the type of “citation-worthy” content that LLMs are designed to find and reference. The goal is to create the definitive resource on a topic, making your page the most logical source for the AI to pull from.

Your Action Plan: A Strategy for AI Visibility

Understanding the theory is one thing; putting it into practice is another. This new optimization requires a dedicated, multi-faceted strategy. Here’s a four-step plan to get you started on the path to AI visibility.

Step 1: The AI Audit & Foundational Analysis

Before you can improve your standing, you need to know where you are.

• Prompt the AI: Go to ChatGPT and ask it questions related to your industry, products, and brand. What do they say about you? Do they mention you at all? Who are the competitors they cite? This is your qualitative baseline.
• Analyze Your Data: Dive into Google Search Console and Google Analytics. Identify your most authoritative pages, the ones that already have good rankings and earn organic traffic. These are your low-hanging fruit, the pages to fortify first for AI search. Analyze the queries they rank for to better understand current user behaviour.

Step 2: A Content Strategy for AI Consumption

Your content creation process needs to be re-engineered with AI in mind. It’s no longer enough to write a blog post; you need to build a knowledge hub.

• Develop a Content Outline: For every key topic, create a detailed Content Outline that maps out all the relevant sub-topics and user questions. This ensures your content is comprehensive and leaves no gaps.
• Craft Detailed Content Briefs: Equip your writers (or your agency) with content briefs that go beyond keywords. They should include the primary questions to answer, target entities to mention, and a directive to write with clarity and precision.
• A Note on AI-Generated Content: It can be tempting to use AI-generated content to scale production. While these tools are great for ideation and first drafts, content intended to establish authority must be heavily edited and fact-checked by a human expert. Your voice, expertise, and unique data are your differentiators.

Step 3: Technical Fortification

This is a non-negotiable step. Work with your development team or a technically proficient agency to conduct a full audit and implementation of schema markup. Prioritize the Organization, Article, FAQPage, and other relevant schema types across your site. Ensure your foundational technical SEO is flawless: fast page speeds, mobile-friendliness, and a logical site structure make it easier for all crawlers, both old and new, to access and understand your content.

Step 4: Proactive Digital PR & Entity Building

This is where the real, sustained effort comes in, and frankly, it’s where most companies need help. Building your presence in the AI’s training data isn’t a passive activity. It requires a relentless digital PR effort focused on securing high-quality brand mentions and citations.

This process, which we call “Entity Building,” involves:

• Strategically guest posting on authoritative industry sites.
• Conducting original research that gets picked up and cited by journalists and academics.
• Getting featured on relevant podcasts and news outlets.
• Ensuring your brand’s profiles are consistent and accurate across all platforms.

This is one of the most crucial and labor-intensive parts of GEO. At Nomadic Advertising, our AI SEO service specializes in this entity-building process. We combine traditional digital PR with a deep understanding of LLM training data to connect your brand with the platforms that matter for generative search, creating a powerful and lasting echo of your authority across the web.

The Future of AI SEO is Now (And We Can Help)

The shift to conversational, generative AI is not a distant trend; it’s a real-time transformation of content discoverability. The capabilities of these models will only grow, incorporating multimodal search (voice, image) and deeper personalization.

While traditional channels like paid search and search ads will continue to play a vital role, especially for direct response, the battle for top-of-funnel awareness and brand authority is moving to this new generative front. To stay competitive, you must adapt. Listening to a top Digital Marketing Podcast or reading blogs from leaders like NP Digital can help you stay informed, but information alone isn’t a strategy.

The landscape of digital marketing is evolving at a breakneck pace. SEO agencies that are still only focused on the last decade’s ranking factors are already falling behind. They are preparing you for a game that is about to end.

At Nomadic Advertising, we’re not just watching the change; we’re building the playbook for what’s next. Our AI SEO service isn’t just a trendy add-on; it’s a fundamental rethinking of how to build brand authority for the next decade of search. We combine deep technical expertise with strategic content marketing and relentless digital PR to ensure your brand becomes a foundational piece of knowledge for the AI models of today and tomorrow.

If you’re ready to future-proof your brand and become the answer, not just another link, let’s talk. Book a free consultation with us and let’s get you started on this new AI journey!

The post How to Rank on ChatGPT: The New Playbook for AI-Powered Search appeared first on Nomadic Advertising.

With Google AI Overviews now appearing in over 20% of search queries, tripling in 2025’s first months, the rules for SEO have changed.

Search Engine Optimization no longer means just ranking in link lists; the new goal is to be also included and cited within a single, AI-generated answer.

In this guide, we’ll break down the new disciplines, tactics, and tools your online presence needs when generative AI and shifting user behavior redefine how search engines work.

What Is Generative Engine Optimization?

Your audience has changed how they find answers, meaning a lot of the old SEO playbook doesn’t cut it anymore. Generative Engine Optimization (GEO) is the practice of creating and structuring content to be found, understood, and cited by AI search engines, ensuring your brand appears in the responses these platforms provide.

According to Princeton research, this approach can lead to an up to 40% visibility boost in AI-generated responses.

And, with platforms like ChatGPT serving 700 million weekly active users, the opportunity for search visibility is massive.

In addition, a 2024 SparkToro study found that nearly 60% of Google searches result in zero clicks. This means when users don’t click through to websites, being cited becomes the primary way to reach them:

(Image source 1)

The objectives between AI SEO and traditional SEO are fundamentally different:

• GEO’s goal: Direct answers, citations, and brand mentions
• SEO’s goal: Clicks, traffic, and high rankings

Pro Tip:

At Nomadic Advertising, we specialize in AI SEO strategies that position your content for maximum visibility across these platforms. Our new AI Optimization services help businesses develop content strategies for this reference-focused environment.

Adapting to AI Search Trends

Here’s a number that should make you sit up and take notice: AI search visitors convert 4.4x better than traditional organic visitors, according to a recent SEMrush study.

(Image source #2)

The reason behind this impressive performance makes perfect sense once you understand how people are searching now:

• They’re having conversations rather than typing choppy keywords
• They describe their actual problems in detail
• They arrive at your site with crystal-clear intent and are much further along in their decision-making process

And, since AI platforms consolidate authority into just a few cited sources, your SEO strategy must evolve to make you the undisputed source in your field.

SEO vs AEO vs GEO: Breaking Down the New Search Landscape

While the SEO basics you know remain the foundation for driving traffic from traditional search engine rankings, two additional layers have become critical.

Answer Engine Optimization focuses on getting featured in direct answer formats like snippets and voice search, while Generative Search Optimization positions you as a cited source in conversational AI responses.

Here’s when to deploy each approach:

• SEO: For commercial keywords and traditional traffic goals
• AEO: For informational queries and featured snippets
• GEO: For building brand mentions in AI platforms

Let’s look at this in more detail for you:

And the urgency becomes clear when you consider that 68% of LLM users are already relying on these platforms for high-intent activities like research, news, and shopping recommendations.

Pro Tip:

Most businesses make the mistake of treating these as separate strategies, but the real power comes from content that serves all three simultaneously, think comprehensive guides that rank traditionally, answer specific questions, and provide quotable expertise.

Understanding AI-Driven Search: How Generative Engines Think

While traditional search matched your keywords to web pages, AI-driven search has flipped the script completely. Instead of hunting for exact matches, AI uses natural language processing to understand the real meaning and user intent behind search queries.

From Keywords to Entities

Here’s where things get interesting: the “keyword” is being replaced by the “entity”, which is a specific brand, product, or concept. Your goal now needs to shift from ranking for a keyword to becoming the definitive authority for an entity in the AI’s understanding.

Building AI Authority

(Image source #3)

AI systems are designed to handle complex, conversational queries rather than simple keyword searches. A query with eight words or more is 7x more likely to get an AI Overview in its results, which explains why you need to focus on:

• Building deep expertise with content clusters
• Mapping out Semantic search relationships between topics
• Anticipating a user’s true user intent

When AI systems can easily identify what you’re an expert on, they’re much more likely to reference your work in these detailed responses.

Google Search Generative Experience: What You Need to Know

When Google’s AI rolled out AI Overviews alongside the “Web” filter, they revealed their plan for two distinct user types. Google Search now serves “information snackers” who want quick AI Overview answers and “deep divers” who use traditional search engine result pages.

The Timeline:

• May 2024: Official US launch with strategic “Web” filter
• Aug 2024: Google’s AI overviews appeared in Incognito mode internationally
• Oct 2024: Expansion to over 100 countries with multilingual support
• Mar-May 2025: “AI Mode” for complex reasoning launched nationwide in the US

Google’s AI overviews now occupy prime real estate atop Search Engine Results Pages, pushing traditional links below the fold. Instead of fighting for #1 rankings, you’re competing to be cited within synthesized summaries that Google’s AI pulls from multiple sources simultaneously.

How to Optimize for AI Search: Key Tactics That Work

When it comes to content optimization for AI, you need to make your content both machine-readable and credible.

(Image source #3)

Consider this: 40% of sources shown in AI Overviews rank on Google’s second page (spots 11-20), not in the top 10. This means AI selects based on authority, not traditional ranking position.

Focus your on-page optimization efforts on these core areas:

• Structure content with clear headings and lists for AI crawlers
• Implement Structured Data (Schema.org) to make your meaning unambiguous
• Build powerful E-E-A-T signals through expertise demonstration and link building
• Prioritize content freshness with regular updates

Because AI systems prioritize credibility over traditional rankings, your content relevance signals and trust indicators matter more than ever. When you combine clear structure with unimpeachable authority, you can win citations, even from page two.

Understanding AI Search Algorithms: What’s Under the Hood

To understand how AI search algorithms work, picture a system with two parts:

A “brain” that thinks (Large Language Models) and a “library” that provides current facts (the live web). While the brain is a Large Language Model, a form of machine learning AI trained on huge amounts of text, it has one key limitation: its knowledge is static and can be outdated.

This is where Retrieval-Augmented Generation (RAG) solves the problem by connecting the brain to the library of the live web:

• Retrieval: The system first searches the live web for the most relevant, up-to-date facts for a query
• Generation: It then gives those facts to the LLM to generate a fresh, accurate, and sourced answer

This process changes how content gets selected for AI search optimization, as the system prioritizes the most relevant and authoritative information from its retrieval process.

Can You Do Keyword Research with AI?

While AI won’t replace traditional keyword research, it serves as a complement when used correctly. The most practical approach combines AI’s creative strengths with data-backed validation.

AI excels at brainstorming long-tail, conversational queries and grouping them into topic clusters for content creation planning. However, AI has critical limitations: it provides unreliable metrics and cannot grasp your brand’s specific goals.

Your hybrid workflow should follow this process:

1. AI for Ideation: Use AI to brainstorm potential topics
2. Traditional Tools for Validation: Import into professional platforms, like Ahrefs or Frase, for accurate data
3. Human Insight for Strategy: Review validated data to match your market position

Pro Tip:

An AI-only approach isn’t viable. You need to either invest in tools and expertise or hire SEO experts. At Nomadic Advertising, we execute this hybrid keyword research process, handling AI brainstorming, data validation, and strategic analysis.

Writing AI-Friendly Content: Best Practices for Visibility

Writing for an AI-driven world means creating content that’s clear, credible, and easily parsable for both human readers and Large Language Models. Your existing content can be optimized using these proven tactics.

(Image source #3)

Adopt an “Answer-First” structure using the inverted pyramid method. This matters because 7 in 10 searchers only read the first few lines of an AIO. Place your direct answer (40-60 words) at the very top. Incorporate verifiable proof through expert quotes and concrete statistics rather than generic statements.

How else can you format for AI Machine Readability?

• Implement logical heading hierarchy (H1, H2, H3) for AI crawlers
• Use scannable lists, FAQ sections, and tables that AI can easily parse for AI-generated answers
• Provide explicit “Key Takeaways” summaries

AI-Powered SEO Tools: Which Ones Are Worth Using?

To execute these new strategies, you need a modern toolkit built for AI search realities. Several artificial intelligence tools have emerged to address these specific challenges.

For content optimization and AI readiness, Frase provides a GEO (Generative Engine Optimization) Score that grades content on Authority, Readability, and Structure, useful metrics for understanding how AI systems might evaluate your content.

For market intelligence and competitive analysis, Ahrefs has also added AI-focused features:

• Brand Radar: Tracks brand mentions across AI chatbots like ChatGPT and Perplexity
• AI Content Helper: Identifies topical gaps in your content
• AI Keyword Suggestions: Generates semantically related keyword ideas

Pro Tip:

At Nomadic Advertising, we help you master Frase, Ahrefs, and more to build a comprehensive AI strategy that gets your business the visibility it deserves.

Key Takeaways 

• AI citations increasingly matter more than traditional rankings: 40% of AI Overview sources come from page 2
• GEO (Generative Engine Optimization) targets AI-generated answers, not just clicks
• AI-powered search visitors convert 4.4x better than organic traffic
• Authority beats position when search engine algorithms prioritize credible sources for User Experience
• Three-layer strategy combines SEO + AEO + GEO for maximum visibility

And here’s SEO expert, Matt Diggity, with a recent Tweet that shared some more great tips:

(Image source #4)

Looking for AI SEO Services? Book a Consultation Now! 

SEO was challenging enough before AI platforms rewrote search entirely. Now you need GEO expertise, citation optimization, and cross-platform visibility tracking.

Nomadic Advertising’s AI Optimization services handle this complexity for you across ChatGPT, Google AI, Perplexity, and more.

Contact us today for a free consultation, and let’s build your foundation in this new AI-first world.

Sources:

1 – https://sparktoro.com/blog/2024-zero-click-search-study-for-every-1000-us-google-searches-only-374-clicks-go-to-the-open-web-in-the-eu-its-360/

2 – https://www.semrush.com/blog/ai-search-seo-traffic-study/

3 – https://www.wordstream.com/blog/google-ai-overviews-statistics

4 – https://x.com/mattdiggityseo/status/1957951345237061667

The post Unlocking AI-Driven Growth: How to Add Artificial Intelligence Search Engine Optimization to Your Strategy appeared first on Nomadic Advertising.