SEO, GEO, and LLMO are three distinct strategies for getting your brand found in 2026, each operating in a different space. SEO gets you ranked on Google and Bing. GEO (Generative Engine Optimization) gets your content cited in AI-generated answers from tools like ChatGPT, Perplexity, and Google AI Overviews. LLMO (Large Language Model Optimization) operates at a deeper level, shaping what LLMs know about your brand based on their training data. You need all three. The question is where to start.
The search landscape has fractured. A buyer researching your category in 2026 might go to Google, ask ChatGPT, or run a query in Perplexity without ever doing a traditional search. If your brand only shows up in one of those places, you are invisible in the others. This guide breaks down exactly what each discipline involves, how they differ, and how B2B companies can approach all three without spreading themselves too thin.
The Search Landscape Has Split Into Three Distinct Channels
Three years ago, SEO meant one thing: ranking on Google. That is no longer true. Google AI Overviews now appear in roughly 60% of US search queries according to data tracked through late 2025 (Xponent21 / WordStream analysis), meaning more than half of Google searches now show an AI-generated summary above the traditional blue links.
Alongside that, Perplexity AI has grown into a primary research tool for professional and technical buyers. ChatGPT processes hundreds of millions of queries weekly. Microsoft Copilot is embedded directly into enterprise workflows. Each of these surfaces has its own logic for what it surfaces and what it ignores.
For B2B marketers, this means one thing: being strong on SEO alone is no longer enough. The buyers you are trying to reach are getting answers before they ever scroll to your website. The brands showing up in those answers are building awareness, trust, and consideration that traditional rankings cannot capture.
ShasBa perspective: We now track three visibility metrics for every client: Google ranking positions, AI citation frequency (GEO), and LLM brand recognition (LLMO). They move independently and require different tactics to improve.
Takeaway: Audit where your brand shows up today. Run your five most important buyer questions through ChatGPT, Perplexity, and Google AI Overviews. See who is getting cited. That gap is your opportunity.
What Is Traditional SEO?
How Google and Bing Rank Content in 2026
Traditional SEO is still the practice of making your website content rank higher in Google and Bing search results for queries your target audience is typing. According to Google’s own ranking systems documentation, Google uses hundreds of signals to determine which pages show up for a given query, including relevance, E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness), page experience, and link authority.
The fundamentals of SEO have not changed: publish content that answers the questions your audience asks, earn links from credible sources, make your site technically sound (fast, mobile-friendly, crawlable), and demonstrate subject-matter authority over time. What has changed is that these signals now also influence whether your content is pulled into AI Overviews and other AI-generated responses, creating a direct connection between SEO execution and GEO outcomes.
Core SEO Ranking Factors: E-E-A-T, Backlinks, Core Web Vitals
Google’s E-E-A-T framework sits at the center of its quality evaluation system. Experience refers to first-hand knowledge demonstrated in content. Expertise means credentials and depth on a subject. Authoritativeness is about how other sites in your space perceive your site and its authors. Trustworthiness covers accuracy, transparency, and security. For B2B companies, improving E-E-A-T means publishing original research, featuring named authors with real credentials, earning press mentions, and maintaining a clean review profile on platforms like G2 and Clutch.
Core Web Vitals (LCP, CLS, INP) measure the user experience of your pages. They are a confirmed ranking factor and increasingly important as Google’s ranking systems weight page experience more heavily. Backlinks remain one of the strongest signals of authority. A page with links from five relevant, high-authority sources will outrank a page with 500 links from unrelated low-quality sites almost every time.
Is SEO Dying? The Data Says No, But It Is Evolving
The ‘SEO is dead’ conversation resurfaces every two years, and every two years the data proves it wrong. Organic search still drives the majority of website traffic for most B2B companies. What is changing is how SEO looks. Content written solely to rank for a keyword, without depth or original perspective, is losing ground fast. Content that demonstrates real expertise, cites verifiable data, and is structured clearly enough for AI engines to extract answers is gaining ground.
The brands treating SEO as a foundation for GEO and LLMO are the ones pulling ahead. Brands that treat SEO as a separate, isolated activity are falling behind.
Takeaway: SEO in 2026 is the foundation. If your pages are not technically sound and authoritative, neither GEO nor LLMO will save you.
What Is GEO (Generative Engine Optimization)?
How AI Engines Select Sources to Cite
Generative engines like ChatGPT, Perplexity, and Google AI Overviews do not rank pages. They select sources to cite when generating an answer to a user query. The selection logic differs from Google’s ranking algorithm and rewards different things.
Perplexity’s Help Center documentation describes its system as prioritizing authoritative, factually dense, and clearly structured content. Research from Authority Tech’s analysis of Perplexity’s source selection found that freshness is the most aggressive signal in Perplexity’s system, with a content update increasing citation frequency by 37% within 48 hours. Cross-referencing from trusted third-party domains also significantly increases trust scores.
Google AI Overviews pull content from pages that already rank well, meaning strong SEO is a prerequisite. But ranking alone is not sufficient. Pages structured with clear answer-first formatting, FAQ sections, and properly marked-up schema data are cited at a higher rate than pages with equivalent authority but weaker structure.
GEO vs SEO: Key Differences Side by Side
The core difference between SEO and GEO is the audience and the format. SEO gets your page in front of a human searching Google. GEO extracts your content and includes it in an AI-generated answer. For SEO, the goal is a click. For GEO, the goal is a citation; your brand name and content appearing inside an answer that the user reads without necessarily visiting your site.
This changes how you write. GEO-optimized content opens with a direct, complete answer to the question in the title. It uses statistics with clear attribution. It includes expert quotes or original perspectives that a generic AI summary cannot replicate. And it ends with a structured FAQ section that gives AI engines clean, extractable Q&A pairs.
The 9 Princeton GEO Methods and Their Visibility Impact
The most cited research on GEO methodology comes from Princeton University. The Princeton GEO study (Aggarwal et al., 2023, published KDD 2024) tested nine content optimization methods against a large benchmark of queries across multiple AI engines. The results, showing percentage increases in AI citation visibility:
- Citing authoritative sources in your content: +40% visibility
- Including statistics with clear attribution: +37%
- Including expert quotes or original insights: +30%
- Using authoritative tone throughout: +25%
- Writing for easy understanding and clarity: +20%
- Including technical terminology where relevant: +18%
- Using unique vocabulary specific to the topic: +15%
- Optimizing for fluency and natural readability: +15 to +30%
- Avoiding keyword stuffing: avoids a -10% visibility penalty
ShasBa applies all nine of these methods to every piece of content we produce and optimize. You can see how we approach this on our SEO and GEO services page.
Takeaway: GEO is not a separate content strategy. It is a set of rules for writing and structuring that improve both AI citation and human readability.
What Is LLMO (Large Language Model Optimization)?
LLMO Definition: Optimizing for Model Training Data Inclusion
LLMO stands for Large Language Model Optimization. Where GEO is about getting cited in real-time AI-generated answers, LLMO is about getting your brand, products, and expertise included in what LLMs know at a foundational level — their training data.
When a user asks ChatGPT What are the best B2B marketing agencies in Canada?’ the answer it generates is drawn from its training data, not from a live web crawl. If your brand is not represented in authoritative sources that were included in that training data — Wikipedia, major publications, industry reports, press coverage — your brand does not exist in that context.
According to Search Engine Land’s research on AI brand visibility, 84% of marketers now recognize the need to appear in AI-generated answers. Still, most focus only on GEO tactics, without addressing the underlying model-level brand signals that LLMO targets.
How LLMO Differs from GEO
GEO is tactical and relatively fast: you improve your content structure, add citations, and can see citation frequency move within weeks. LLMO is strategic and slow. You cannot update a training dataset on a schedule. You build LLMO presence over months and years by generating the kind of third-party coverage, data, and mentions that training datasets pull from.
The practical LLMO tactics for B2B brands: maintain and update a Wikipedia or Wikidata entry if your company meets notability criteria, earn editorial coverage in tier-one publications and industry media, publish original research that other outlets cite and link to, contribute to open datasets and industry surveys, and participate in recognized industry directories and award programs that AI training sources reference.
Can You Influence What LLMs Know About Your Brand?
You can influence it, but not control it. LLM training datasets are assembled from large-scale web crawls, filtered for quality signals. The content that gets included skews heavily toward sources with high link authority, editorial credibility, and topical density.
The most reliable LLMO investment for a B2B company is consistent, original thought leadership: publish research, get quoted in trade publications, build a review profile on G2 and Clutch, and earn links from industry associations. These are slow-burning activities. They are also the same activities that strengthen E-E-A-T for SEO and citation credibility for GEO. All three disciplines reward the same underlying behavior: being genuinely authoritative on your topic.
ShasBa perspective: We tell clients that LLMO is the long game. You start it now so that 12 to 18 months from now, when LLMs are updated, your brand is in the conversation. The tactics overlap almost entirely with what good SEO and PR already require.
Takeaway: Start LLMO by auditing what ChatGPT and Gemini say when asked about your category. Note which brands come up. Those are your benchmark competitors.
SEO vs GEO vs LLMO: Side-by-Side Comparison
Why B2B Brands Need All Three Strategies in 2026
The three strategies are not competing for the same budget or the same team time. They operate on different timelines, use different tactics, and produce different outputs. A B2B company that does SEO well but ignores GEO will rank on Google, only to disappear when buyers turn to ChatGPT. A company that invests in GEO but has no SEO foundation will find that AI engines have nothing authoritative to pull from. A company that focuses only on LLMO is playing a game with no measurable short-term return.
The practical sequencing for most B2B companies: start with SEO as the foundation, add GEO-specific content practices to every piece of content you publish, and build LLMO presence gradually through PR, research, and third-party coverage; these layers compound. Strong SEO content gets cited by GEO engines. GEO citations generate the kind of third-party signals that build LLMO presence over time.
According to Search Engine Land’s analysis of brand visibility in AI search, corroborated by Princeton GEO research, the companies winning in AI-generated search are not doing anything exotic. They are publishing the most authoritative, clearly structured, citation-rich content in their category — consistently.
Takeaway: Think of SEO as the engine, GEO as the fuel, and LLMO as the reputation that earns buyers’ trust in both.
How ShasBa Marketing Implements All Three
ShasBa Marketing works with B2B companies across Canada and the US on SEO, GEO, and paid media. Our approach to all three disciplines is integrated: we do not treat GEO as a bolt-on to an SEO retainer. Every content asset we produce is built to perform on Google, get cited by AI engines, and contribute to long-term LLM brand presence.
For SEO, we handle technical audits, keyword strategy, content production, and link acquisition. For GEO, we apply the Princeton-validated nine-method framework to every piece of content, including FAQ schema, answer-first formatting, and verified citation integration. For LLMO advisory, we work with clients on PR strategy, original research development, and third-party presence-building.
If you want to know specifically how your brand shows up across SEO, GEO, and LLMO surfaces today, start with a visibility audit. Visit our generative engine optimization services page or contact our team directly to book a call.
Frequently Asked Questions about Search Engine Optimization Services
Should I focus on SEO or GEO first?
Focus on SEO first. GEO requires a foundation of authoritative, well-structured content to work from. If your site has thin content, technical issues, or weak authority, AI engines have nothing credible to cite. Build the SEO foundation first, then layer GEO-specific practices into your content production process. Most B2B companies can integrate GEO practices into their existing content workflow within 30 days with no additional budget. For a company starting from scratch, expect 3 to 6 months of consistent SEO work before GEO citations start appearing with any regularity. The two disciplines reinforce each other — well-structured SEO content tends to get cited in GEO results with little extra effort once the authority is in place.
Does GEO replace SEO?
No. GEO and SEO operate on different surfaces and serve different purposes. SEO gets your pages ranked for humans searching Google. GEO gets your content cited in AI-generated answers. As of late 2025, Google AI Overviews appear in roughly 60% of US searches — but that still means 40% of search results pages show no AI Overview at all, leaving traditional SEO as the primary visibility channel. Beyond Google, a significant share of B2B research still starts with a direct Google search rather than an AI tool. The practical answer: run both. Organic search and AI citation are complementary, not competing, and the content work required for one strengthens the other.
How do I know if AI engines are citing my brand?
The most direct method is manual testing. Run your top 10 to 15 buyer questions through ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot, and record whether your brand appears in the answers. Do this monthly and track changes over time. For more systematic monitoring, tools like Semrush's AI Overviews tracker, Ahrefs' SERP features report, and dedicated GEO monitoring platforms can automate citation tracking across AI surfaces. If your brand is not appearing, the most common reasons are: content is not structured in an answer-first format, no FAQ schema is in place, citations and statistics are missing from the content, or the pages lack the E-E-A-T signals AI engines weigh heavily. All of these are fixable. ShasBa’s GEO audit service identifies exactly where the gaps are.
