SEO vs GEO: What Every Marketer Needs to Know in 2025

Search engine optimisation has been the backbone of organic digital marketing for two decades. But a newer discipline is reshaping how brands think about discoverability: generative engine optimisation, or GEO. If you have been wondering whether GEO replaces SEO, complements it, or is just another buzzword, this post gives you a straight answer.

What SEO Actually Means (and Why It Still Matters)

SEO is the practice of making web pages rank higher in traditional search engine results pages, primarily Google and Bing. The levers are well-established: technical site health, keyword targeting, backlink authority, page speed, structured data, and content quality.

The reason SEO still matters is simple: hundreds of billions of searches happen every month on traditional search engines. For many queries, especially transactional and local ones, users click through to websites rather than reading a summarised answer. Google's advertising business also depends on this model, so it has strong incentives to keep the click-through journey alive.

SEO metrics are measurable and mature. You can track keyword rankings, organic click-through rates, impressions, and conversion rates from organic traffic with reliable tooling. The feedback loop is slow but well-understood.

What GEO Is and Why It Has Emerged

Generative engine optimisation is the practice of making your brand, product, or content appear in answers generated by AI systems such as ChatGPT, Perplexity, Claude, Gemini, and Copilot. When someone asks an AI assistant "what is the best project management tool for small teams" and the model answers with a handful of names, GEO determines whether your product is in that list.

The core difference from SEO: GEO is not about ranking a URL. It is about being represented in a model's synthesised answer, which may not link to your site at all. The AI may cite you, paraphrase content associated with your brand, or simply mention your name as one of several solutions. There is no click required for your brand to have appeared.

GEO has emerged because a meaningful and growing share of informational queries are now handled by AI assistants rather than traditional search results. Users are increasingly getting answers without visiting any website. If your brand does not appear in those answers, you are invisible to that portion of your potential audience regardless of how well your pages rank in Google.

The Core Differences Between SEO and GEO

The two disciplines share some overlap but differ in important ways.

How rankings work. SEO rankings are positional and measurable: rank 1, rank 5, rank 20. GEO visibility is binary and contextual: either the AI mentions your brand in response to a given query or it does not. Position within an AI answer matters but is harder to quantify.

What signals matter. SEO rewards technical authority, backlinks, and keyword relevance. GEO rewards entity clarity, consistent brand presence across authoritative sources, structured and citable content, and the degree to which your brand is associated with specific topics across the web, including on Reddit, review sites, and news outlets.

Measurement. SEO has decades of tooling behind it. GEO measurement is newer and requires a different approach: you need to query AI systems directly with your target keywords and check whether your brand appears. Tools like bing.ly automate this by running your keywords across multiple AI models and tracking whether your brand is cited, how prominently, and what competitors appear instead.

Feedback speed. Google updates rankings continuously, and you can often see movement within days of publishing or building links. AI model knowledge has training cutoffs and update cycles, so GEO changes tend to be slower and less predictable.

Where SEO and GEO Overlap

The good news is that strong SEO practice feeds GEO performance. Here is why.

AI models are trained on web content, and authoritative, well-structured pages that rank well in Google are more likely to have been included in training data. Backlinks and mentions from high-authority domains signal entity importance to both search engines and, indirectly, to the language models trained on that content.

Content that clearly explains what your product does, who it is for, and what category it belongs to serves both purposes. A well-optimised product page with clean schema markup and clear entity signals is more likely to be understood correctly by both Google and an LLM.

Earning coverage in the places where AI models look, such as Reddit threads, trusted review platforms like G2 and Capterra, and editorial coverage, helps both your traditional SEO profile and your AI visibility.

What GEO Requires That SEO Does Not

GEO introduces some requirements that have no direct SEO equivalent.

Entity consistency matters more. If your brand name, category, and core use case are described differently across different sources, an AI model may not form a coherent picture of what you do. Getting consistent, accurate representation across your website, press coverage, Reddit discussions, and review sites is a GEO priority that SEO barely touches.

Community presence is a GEO signal. AI systems pay attention to how a brand is discussed in forums, review sites, and communities. A product that users frequently recommend on Reddit or dissect on Hacker News has a stronger implicit signal than one that exists only on its own domain. This is why community intelligence, knowing what people are saying about your brand and competitors across these platforms, is becoming a marketing function in its own right.

Structured, citable content is a GEO asset. Long-form content that directly answers specific questions, uses clear headings, and is written in a way that can be excerpted is more likely to be referenced or paraphrased by AI systems. This aligns with some SEO best practice but goes further: GEO content should assume the audience is an AI deciding whether to cite you.

Should You Choose One Over the Other?

No. They serve different channels and audiences. SEO captures users who go to Google and click through. GEO captures users who ask AI assistants and read the response. As AI-assisted search grows, the GEO channel grows with it, but traditional search is not disappearing.

The practical approach is to treat them as complementary. Maintain your SEO fundamentals because they create the authority foundation that GEO builds on. Then add a GEO layer: monitor whether your brand appears in AI answers for your target keywords, identify which queries your competitors are winning in AI responses, and use that intelligence to adjust your content and community strategy.

The difficulty is that GEO monitoring is still manual and tedious without the right tooling. Running queries across ChatGPT, Perplexity, Claude, and Gemini by hand and noting whether your brand appears is not a scalable process for a small team.

bing.ly was built specifically to solve this. It monitors your brand's visibility across AI systems automatically, tracks competitor appearances, and also surfaces what real users are saying about your category on Reddit, Hacker News, and review platforms. If you are managing SEO and want to add GEO coverage without tripling your workload, it is a practical starting point built for small teams and founders at under $100 per month.

Start your GEO tracking alongside your existing SEO practice at bing.ly and get a clear picture of where your brand stands across both channels.