SEO vs GEO: What’s the Difference, and Does It Matter for Your Strategy?

If a client has asked you whether they need GEO on top of SEO and you are working out how to answer that question, this article is for you. It covers what the difference actually is, what changes in the work, and why running both together is more efficient than splitting them.

The short version: good SEO is the foundation for both. But GEO has specific requirements, different metrics, and different tools, and the gap between “strong SEO” and “visible in AI search” is widening. The data shows it.

What Does Google Say About the Difference Between SEO and GEO?

Google’s May 2026 AI Optimization Guide made its position clear: for Google’s own surfaces, AI Overviews and AI Mode, “optimising for the search experience” is “thus still SEO.” The fundamentals that earn rankings also earn citations. Google’s John Mueller reinforced this on Bluesky when asked whether some industries could skip GEO entirely: “I’m not quite sure what you’re asking; from our POV there’s nothing really special you need to do for generative AI responses in search.”

On Google’s own turf, that is defensible. Both AI Overviews and AI Mode pull from the same crawled index as regular search.

But practitioners have tested this, and the data tells a more complicated story. Ahrefs analysed 863,000 SERPs and found that the share of AI Overview citations coming from top-10 organic results fell from around 76% in July 2025 to 38% by March 2026. Google is increasingly citing pages that do not rank in the top 10 at all.

Mike King of iPullRank called Google’s guidance “naive and self-serving,” pointing out that Google downplays llms.txt while its own agentic documentation recommends one, and waves off content chunking despite its own retrieval research favouring atomic, well-structured content. 

And Google’s framing applies only to Google. ChatGPT, Perplexity, and Gemini run different retrieval logic, different trust signals, and different source hierarchies from Google’s search index. GEO-specific work, entity infrastructure, AI bot access, prompt research, LLM monitoring, has no direct equivalent in standard SEO.

So the honest position sits between “GEO is a buzzword” and “GEO is a whole separate planet.” Good SEO is the foundation for both, but the specific work required to get cited by an AI system is different enough to matter. That is what the rest of this article gets into.

What Is SEO (Search Engine Optimisation)?

Quick refresher, since most of you already know this one. SEO earns visibility in traditional search results, mostly Google and Bing. The levers: technical health (crawlability, speed, clean architecture), content matched to search intent, on-page optimisation, and backlinks that signal authority. Success looks like rankings, organic traffic, and click-through rate.

At SUSO, this covers technical SEO, off-site link acquisition, and content strategy built around keyword intent. These are the three pillars most SEO programmes are built on.

What Is GEO (Generative Engine Optimisation)?

GEO is the discipline of getting a brand cited, mentioned, and recommended by LLMs like ChatGPT, Google’s AI Overviews and AI Mode, Perplexity, Claude, and Gemini.

A few things set it apart right at the definition. 

The goal is a citation, not a clicked link, and in a lot of cases the user never visits the source site at all. Pew Research found people click through to a normal search result about half as often when an AI summary appears above it, 8% versus 15%. GEO is also platform-specific in a way SEO mostly isn’t: the signals ChatGPT weighs are different from Claude’s or Perplexity’s, which are different again from what earns a spot in Google’s own AI Overviews. 

Same category, wildly different rulebooks. And GEO is genuinely measurable at this point, not a 2026 rebrand of SEO. 

Google’s AI Optimization Guide gets the foundational point right. No crawlability, no indexation, no trust – nothing else works, on Google’s surfaces or anywhere else. The gap is everything downstream of that. Google is quietly citing more and more pages that never crack page one, a gap Ahrefs has measured directly, and that’s before you even factor in how shaky the guide’s own advice is inside Google’s ecosystem. That gap is where GEO lives.

SEO vs GEO: Where They Align

Before we get into the split, let’s give credit where it’s due. A team already running strong SEO has a real head start on GEO, because both rest on the same quality bar.

High-quality, authoritative content gets rewarded by ranking algorithms and LLM citation logic alike. Topical authority, covering a subject in depth from multiple angles, improves both rankings and citation odds. E-E-A-T signals (Experience, Expertise, Authoritativeness, Trustworthiness) matter to both systems: named authors, sourced claims, real expertise. Strong technical foundations, crawlable pages, fast load times, clean HTML, are table stakes either way. Structured content, clear headings, FAQ sections, helps Googlebot and LLM crawlers parse a page equally well. And original research or proprietary data pulls double duty: it earns backlinks for SEO and improves citation odds for GEO, because it gives other sources something worth pointing to.

A solid SEO foundation already covers a real chunk of the GEO homework. The question is whether the extra, GEO-specific work is actually happening on top of it.

SEO vs GEO: Where They Diverge

	SEO	GEO
What you’re optimising for	Rankings in search results	Citations and mentions in AI-generated answers
Platform	Traditional search engines (Google, Bing)	LLMs (ChatGPT, Perplexity, Google AI Overviews, Gemini)
User behaviour	Clicks through to the website	Often gets the answer without clicking
Success metric	Rankings, organic traffic, CTR	Citation frequency, share of voice in LLMs, brand mentions
Content priorities	Keyword-rich pages structured around intent	Authoritative, conversational answers, prompt-aware structure
Off-site signals	Backlinks (domain authority, link quality)	Earned media, authoritative mentions, off-site brand presence
Technical priorities	Crawlability, Core Web Vitals, schema	AI bot access (GPTBot, ClaudeBot, PerplexityBot), rendering
Measurement tools	Search Console, GA4 organic, rank tracking	LLM visibility tools (Otterly, Profound), GA4 AI referral channel
Update cadence	Evergreen content holds rankings for years	Freshness matters more; content under 3 months old cites better
Query format	Keyword-based	Conversational, natural-language prompts

The end result is different. SEO gets a page ranked so someone can click through. GEO gets a brand cited in an answer someone might read without ever visiting the site. Review platforms show the split starkly: SE Ranking found sites like G2 losing the bulk of their organic traffic even as they became some of AI Overviews’ most-cited sources. Both things can be true. They’re just measuring different planets. Ahrefs found the proof at scale: across 863,000 SERPs, the share of AI Overview citations pulled from top-10 organic results fell from about 76% in July 2025 to 38% by March 2026. Google is increasingly citing pages that never touch page one.

Measurement is a different animal. SEO leans on mature tooling: Search Console, GA4, rank trackers. GEO measurement is still being built (citation frequency, sentiment, share of voice), and it needs new infrastructure to track. At SUSO, that runs through our own AI Search Visibility Checker alongside Otterly and dedicated LLM monitoring. GA4 now surfaces AI-referred traffic automatically through its AI Assistant channel, no setup required, though it’s referrer-based and still misses some AI-driven sessions.

The technical bar moves. Both need a crawlable, fast, well-structured site, but GEO adds a layer: are AI bots (GPTBot, ClaudeBot, PerplexityBot, Gemini-Deep-Research, etc.) actually allowed in? From September 15, 2026, Cloudflare blocks AI Training and Agent bots by default on ad-monetized pages for new domains onboarding to the platform, while pure Search crawling stays allowed. Separately, there’s a catch that applies whenever Training gets blocked, on that default or through a manual setting: multi-purpose crawlers that combine training and search, including Googlebot, get blocked across all their behaviors, not just training. Block Training without checking a site’s settings and it can quietly knock a site out of Google Search too. JavaScript-rendered content can look like a blank page to an LLM crawler while it renders just fine for a human. Neither of those shows up on a standard SEO audit.

For web design and development agencies, the AI bot access layer is the most natural addition to an existing site audit: a handful of additional checks covering bot permissions, JavaScript rendering, and Cloudflare settings. It fits naturally into a new site build checklist, a redesign handover, or a scheduled maintenance review — a small addition that adds meaningful value to work already being done.

Off-site signals mean something else entirely. For SEO, backlinks are still king, weighted by referring domain authority, relevance and traffic. GEO cares less about links and more about earned authority: consistent mentions in trusted publications, coverage on Wikipedia, Reddit, LinkedIn, high-authority news, and review sites. An unlinked mention in a trusted publication can carry real GEO weight with zero SEO value attached, no link required.

PR agencies are better positioned for GEO than most realise. The media coverage, brand mentions, and journalist relationships already being built for clients are GEO inputs. What usually needs adding is the surrounding infrastructure: measurement to show clients what those placements are doing in AI answers, technical checks to ensure AI crawlers can access the relevant content, and content structuring that makes it extractable by LLMs.

Content intent and structure diverge. SEO content maps to keyword intent, matching pages to what people type into a search box. GEO content gets built for prompt awareness: anticipating the natural-language questions someone would ask an assistant, and structuring the answer so an LLM can lift it cleanly. FAQ sections, direct-answer blocks, and question-phrased headings pull more weight in a GEO brief than a standard SEO one.

SEO vs GEO in Practice: What Changes Across Each Area of Work

The comparison above covers the concepts. Now, let’s see what changes when a team, or an agency running client campaigns, actually delivers the work – using us as an example. 

Across SUSO’s catalog of deliverables, some are SEO-only, some are GEO-only, and quite a large share serve both from the same piece of work. That middle category is the whole pitch for running them together: the same content plan, technical fix, or PR campaign can do double duty, while running the disciplines separately means paying for a version of the work twice and only getting half the return, each time.

Content Development

SEO content starts with keyword research, content gap analysis, and competitor benchmarking. It’s built around keyword clusters and SERP intent, with metadata crafted for CTR. Thin content, cannibalization, and pruning are ongoing hygiene. Success looks like rankings, impressions, and clicks.

GEO content starts from prompt research instead: mapping the natural-language questions people actually ask an AI assistant. Content gets structured for extraction, direct-answer blocks, question-phrased headings, FAQ sections. 

Authorship carries real weight here. Named authors with verifiable credentials, publication dates, and citations to outside sources all strengthen an LLM’s trust. Princeton University research found that including citations and statistics in content can lift visibility in generative engine responses by up to 40%. 

Thought leadership beats generic keyword copy, and freshness matters in a measurable way, content updated in the last three months cites better. Query fan-out mapping, tracing the sub-questions an AI spins up around a topic, surfaces gaps keyword research alone won’t catch.

Where they overlap

Topical authority, E-E-A-T, and content depth serve both outcomes from the exact same piece of work. An integrated strategy starts from keyword and prompt research together, so one piece of content ranks and gets cited, for the same production cost. Run separate programmes and you’re producing roughly twice the content to cover the same ground. It shows up at the brief level too: an SEO brief runs on keyword clusters and intent; a GEO brief adds prompt mapping and answer structure on top of that same foundation.

Technical Optimisation

SEO technical work makes sure Google and Bing can crawl, render, and index a site: crawl budget, site architecture, Core Web Vitals, canonicalisation, hreflang, redirects, mobile optimisation, structured data, clearing out Search Console errors.

GEO technical work makes sure AI crawlers can get at that same content, and they’re different systems entirely: GPTBot and OAI-SearchBot for ChatGPT, ClaudeBot for Claude, PerplexityBot for Perplexity, Gemini-Deep-Research for Gemini, and Googlebot for Google’s own AI features, among others. Each one needs explicit permission. 

A site that looks perfectly healthy to Google can be a locked door to every single LLM if Cloudflare is quietly blocking AI bots (from September 15, 2026, its default blocks Training and Agent bots on ad-monetized pages for new domains; separately, blocking Training at all, by that default or manually, also catches multi-purpose crawlers like Googlebot, since Cloudflare can’t block just one of a bot’s behaviors), or if key content only renders client-side via JavaScript. You shall not pass, and nobody told you the gate was even closed. An llms.txt file works like a GEO-specific robots.txt, pointing AI crawlers toward priority pages. Structured data matters here too, but for a different reason: it gives an LLM unambiguous context about entities and relationships, not just eligibility for a rich result.

Where they overlap

Architecture, crawlability, speed, sitemaps, internal linking, and schema all serve both. A well-run technical audit covers those shared foundations once, and the integrated version just adds the AI bot access layer on top, at roughly the same cost as either audit alone. Schema sameAs markup is one of the best-value items here precisely because it’s nearly free: it connects a site to the brand’s Wikidata entity and Google Business Profile, unifying the brand record for LLMs, at basically no extra SEO cost.

Off-Site Authority

SEO off-site work builds link equity through backlinks from relevant, authoritative domains: digital PR, targeted outreach, anchor text strategy, backlink health audits, disavowal, Google Business Profile optimisation. Referring domains, domain rating, and ranking movement are the scoreboard.

GEO off-site work builds brand entity presence across the sources LLMs actually draw on, and LLMs don’t weigh backlinks the way search algorithms do. They weigh mentions, citations, and consistent representation instead. 

The sources that carry GEO weight aren’t always the ones passing the most link equity: Wikipedia, Wikidata, Reddit, LinkedIn, high-authority news, and review platforms like G2, Trustpilot, and Capterra are all heavily indexed by LLMs. An unlinked mention in a trusted publication can carry real GEO value with zero SEO benefit at all.

Where they overlap

This is the clearest integrated ROI story in the whole framework. Original research placed in a major industry publication earns an editorial backlink (SEO win) and creates a citable source LLMs reference when answering related questions (GEO win), from one single campaign. 

Run SEO-focused and GEO-focused PR as separate workstreams and you’re briefing and reporting on two campaigns chasing the same publications. An integrated brief lands one placement with both outcomes baked in from the start. Review platform acquisition on G2, Trustpilot, and Capterra works the same trick: a trust signal for Google and a source LLMs cite when recommending vendors, for the same effort.

Entity and Knowledge Graph

This one’s GEO-only. 

LLMs build their picture of a brand from structured data sources. Think Wikidata, Wikipedia, Google Knowledge Graph, and profiles on Crunchbase, LinkedIn, Bloomberg. That layer shapes what an LLM says when someone asks about a brand, whether it categorises and recommends it correctly. Most hallucinations about a brand trace back to gaps in this layer, not to anything on the brand’s own website. The AI just doesn’t have the full family tree.

GEO work here means making the brand a verified, consistent entity. It can include creating or claiming a Wikidata entity, connecting the site to it via schema sameAs markup, auditing brand profiles across the platforms LLMs prioritise, working toward Wikipedia notability where the criteria genuinely allow it, and fixing inaccurate descriptions at the source rather than through on-site content alone.

This work is foundational and slow-cooking, not a light-switch. It won’t move a visibility metric overnight, but it shapes what every LLM says about a brand for years, and it compounds with the content and off-site work running alongside it. 

It’s also one of the hardest things to fix after the fact, once a brand’s already being misrepresented across AI answers.

Measurement and Reporting

SEO measurement is established, and for most brands, already running. Search Console for clicks, queries and CTR, GA4 for organic sessions and conversions, rank trackers, backlink tools. The KPIs are rankings, traffic volume, and organic-attributed conversions.

GEO measurement is newer, and it’s off by default everywhere. It starts with an AI visibility audit: structured prompts run across ChatGPT, Perplexity, Gemini, and Claude to see how a brand’s currently cited, with what sentiment, against which competitors. 

Ongoing performance monitoring runs through an AI visibility tracker to monitor citation frequency and sentiment over time. GA4 now surfaces AI-referred traffic through its AI Assistant channel, with no configuration required, though because it’s referrer-based, it still misses some AI-driven sessions from platforms like Grok that may not pass a recognized referrer, and Google’s own AI Overviews and AI Mode, which are mixed together with organic clicks.

Where they overlap

A brand running SEO-only reporting is going to misread its own performance more and more, watching organic traffic dip while AI-referred conversions grow in a channel it literally cannot see. Combined reporting tells the truer story, and the gap widens every quarter as AI Overviews and AI Mode eat a growing share of informational searches. Building measurement infrastructure for both channels at once is a lot less work than retrofitting GEO reporting onto an existing SEO programme down the line.

Do You Need Both?

Short answer: yes. The case for it is sitting in everything above, not in that one-word answer.

Strong SEO is the foundation for GEO. A site that can’t be crawled, indexed, and trusted won’t rank in Google or get cited by an LLM, full stop. But good SEO doesn’t automatically produce GEO visibility. AI bot permissions, entity infrastructure, prompt-mapped content, LLM-specific measurement – these are demands a standard SEO programme never touches.

Running the two separately is just less efficient than running them together. The shared foundations, content strategy, technical audits, digital PR, schema markup, are the same underlying work no matter which discipline commissions it. Do that work once with both outcomes in mind, and it costs less and delivers more than commissioning it twice under two different names.

For most teams, the real question isn’t whether to invest in both. It’s where to start.

Where to Start

An AI visibility audit sets the baseline: what LLMs currently say about a brand, where competitors show up and the brand doesn’t, and what’s quietly blocking AI crawler access right now. Run a free one with SUSO’s AI Search Visibility Checker.

From there, the path splits by what’s needed. For a full AI Search optimisation programme, SUSO’s GEO service page covers what that looks like end to end. 

For agencies who want to offer this without building the capability in-house, SUSO’s Partner Club is how that works in practice: white-label delivery under your brand, with an integrated SEO and GEO programme as the core offer, or either discipline separately where that is what the client needs. Whether you are a PR agency adding AI visibility to your existing media work, or a web design agency extending into search performance, the Partner Club gives access to both without the overhead of hiring for them.

May the citations be with you.

FAQs

• What is the difference between GEO and SEO? 

  SEO earns rankings in traditional search results so people can click through. GEO earns citations and mentions in AI-generated answers from ChatGPT, Perplexity, and Google’s AI Overviews. Both rest on the same content quality foundations, but the targets, deliverables, and metrics differ.

• Does GEO replace SEO? 

  No. Strong SEO is the foundation for both traditional and AI search visibility. A site that can’t be crawled, indexed, and trusted won’t rank or get cited by anything. GEO extends that foundation to AI platforms, and running both together beats treating them as alternatives.

• How do you measure GEO performance? 

  Through citation frequency across LLMs, brand sentiment in AI responses, share of voice against competitors in tools like SUSO’s AI Search Visibility Checker, and AI-referred traffic and conversions in GA4’s AI Assistant channel.

• Are GEO and SEO the same thing? 

  Google’s May 2026 AI Optimization Guide argues they are, and Google’s John Mueller has said as much publicly: asked whether any industries could skip GEO entirely, he replied “there’s nothing really special you need to do for generative AI responses in search.” Framed that way, it’s guidance for Google’s own environment. But that framing is disputed: Mike King of iPullRank called it “naive and self-serving,” pointing out that Google downplays llms.txt while its own agentic documentation recommends one, and waves off content chunking despite its own retrieval research favoring atomic, well-structured content. Outside Google’s ecosystem entirely, the picture gets murkier still: ChatGPT and Perplexity run different retrieval logic and trust signals than Google’s index, and even Google’s own standalone Gemini app doesn’t follow Search’s playbook. BrightEdge’s research puts the overlap between AI Overview citations and top-10 rankings at just 17%, on Google’s own turf. GEO-specific work, entity infrastructure, AI bot access, prompt research, LLM monitoring, has no real equivalent in standard SEO. Same quality foundations. Different discipline.