# GEO vs SEO vs AEO: The Honest Guide to What's Real, What's Hype, and What to Do About It

84% of marketers recognise GEO, but only 42% use it. Learn the real differences between GEO, SEO, and AEO, plus how to spot AI search scams.

**Published:** March 31, 2026
**Author:** Megan McDonough

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At 84%, a vast majority of marketers recognize GEO as a concept; however, only 42% actually use the term. Meanwhile, Google's own John Mueller warns that the acronym "signals scams." So, who's right? The truth is somewhere in the middle. It's not that these terms are inherently misleading, but the hype around AI-driven search can and often does create confusion.

  
  
  
  
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There are three main concepts at play:

- **SEO (Search Engine Optimization):** Traditional strategies to improve website rankings in search results through quality content, backlinks, and technical performance.
- **AEO (Answer Engine Optimization):** [What is AEO?](https://www.searchable.com/blog/what-is-aeo) It's the practice of optimising content so it can be surfaced as the answer itself, whether as featured snippets, voice search, or AI-generated summaries.
- **GEO (Generative Engine Optimization):** Focuses on influencing how large language models (LLMs) incorporate your brand's content into AI-generated responses.

Understanding these distinctions is the first step toward building a practical strategy for AI search.

## The Revenue Case: Why This Matters (Regardless of What You Call It)

As AI-powered search tools become more robust, marketers are asking a simple question: does this change how SEO works? The data is clear. Research from Seer Interactive (September 2025) found that brands cited by AI systems get 35% more organic clicks than brands that aren't. The reason? AI answers are layered and point users toward multiple sources when responding to a question. The more your brand is listed among those sources, the easier it is to build credibility and trust.

This visibility is already translating into measurable traffic trends. A July report from Similarweb found a staggering 357% year-over-year growth in referrals from AI tools alone. While still a small share of overall traffic, the growth rate shows how quickly AI is becoming a new discovery channel.

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Early performance data also suggests these visitors may behave differently. A study from Amsive found that visitors coming from large language models convert at up to 4.4x the rate of traditional organic traffic. Despite the relatively small sample size, the findings suggest that users arriving through AI answers may be further along in the decision-making process, since their initial questions have already been addressed.

Keep this growth in perspective. Despite this trend toward AI-assisted discovery, Google remains the primary discovery point for users. Similarweb reported that AI referrals accounted for just 1.08% of traffic, and organic traffic declined only 2.5%.

Another notable change is a shift in search behavior among younger users. Gartner reports that 35% of Gen Z turns to AI first when researching something, suggesting that it's becoming their default starting point for information.

The takeaway is simple: AI discovery is fast-growing, but it doesn't replace SEO. Think of it as an additive layer on top of traditional search.

## What Each Term Actually Means (and Where They Came From)

AI search is growing, and so is the vocabulary around it. Terms like SEO, AEO, and GEO are sometimes used interchangeably and while there is significant overlap, knowing where they differ will help marketers shape an effective search strategy that involves all three.

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The primary goal of **SEO** is to drive traffic through traditional search results and rank higher than competitors in your market or field. Content relevance, site structure, backlinks, and technical performance are all areas to optimise to make your brand more visible in search engines.

**AEO** is all about optimising content so that it's selected as an answer by AI systems or search engines. AEO feels like a new buzzword but its origins trace back to the early 2020s. So what is AEO in practice? Instead of just ranking on a results page, the goal is to become the answer itself.

Then there's **GEO**, a new term for AI-driven search systems powered by large language models. It was first introduced in a 2024 academic paper written by researchers from Princeton University and Georgia Tech and presented at the Knowledge Discovery and Data Mining (KDD) conference. For brands, the goal of GEO is to influence how AI models interpret and incorporate information into generated responses.

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Despite the growing number of search terms, adoption is lagging. The gap between awareness and implementation tells you something: most teams know they should be doing this, but aren't sure where to start. That's partly because the terms themselves create confusion.

## Where They Overlap (It's More Than You Think)

Although SEO, AEO, and GEO are distinct terms, they share several common foundations and best practices. Studies show that 38-52% of AI citations come from the top 10 Google results and that, overall, there's an 80% overlap between traditional organic rankings and content surfaced in AI search.

Many of the strategies that help content rank in search engines also increase the chances of being cited in AI answers, which is why discussions around AEO vs GEO often highlight their biggest areas of overlap.

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Shared tactics driving both SEO and GEO SEO performance include:

- **High-quality content:** how thoroughly a question is answered
- **E-E-A-T (Experience, Expertise, Authority, Trustworthiness):** signals that establish credibility
- **Topical authority:** comprehensive coverage across topics
- **Clear content structure:** how easy it is for users and AI to sift through
- **Content freshness:** how up-to-date and relevant your content is

> The fundamentals still matter. Strong SEO drives AI visibility, not the other way around.

When building out your marketing strategy, experts like Lily Ray stress that fundamentals still matter. From a GEO perspective, Harpreet Singh Chatha encourages brands to optimise for synthesized answers and to challenge unique GEO practices.

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The main takeaway? The majority of what works in AI search already exists within a strong SEO strategy, which helps answer the question: can SEO and GEO strategies work together?

## Where They Genuinely Differ (The 20% That's New)

Despite this overlap, AI search does introduce several meaningful changes to how content is discovered and surfaced. This is where discussions around generative engine optimization vs traditional SEO become more relevant, particularly as brands begin exploring [LLM optimization](https://www.searchable.com/blog/llm-seo) strategies.

Where SEO and GEO differ comes down to six elements:

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Unlike traditional SEO, which accesses links for ranking, GEO considers citations as signals for inclusion in AI-generated answers (2024 GEO paper by Princeton and Georgia Tech).

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  <h3 className="text-lg sm:text-xl font-normal text-plum-900 !mt-0 !mb-0">Multi-platform visibility</h3>
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AI-generated responses draw from several different platforms. For example, ChatGPT's source share dropped from 87% to 68% in the last few months. For brands, this means being visible across many platforms, not just your website. [Improve brand visibility in AI search](https://www.searchable.com/blog/improve-ai-brand-visibility) by ensuring your brand appears across forums like Reddit and other community sites.

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LLMs generate responses based on probabilistic models, and since visibility is less easy to predict, brands should prioritize experimentation, iterative testing, and monitoring trends.

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AI systems pull answers from multiple sources, and being cited is important for building brand recognition and trust. Consensus signals refer to multiple high-quality sources that support a single answer.

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Third-party forums, social platforms, and community sites are increasingly important for AI visibility. For context, Reddit appears in 68% of AI-generated responses. Third-party presence isn't a big deal for traditional SEO, but it's incredibly impactful for an LLM optimisation strategy.

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Compared to traditional search, AI-generated answers come from longer, more thought-out prompting. Research by Kevin Indig shows that AI queries average around 30 words, compared to just 4 words in traditional search.

Understanding these key differences will help brands develop a strategy that balances LLM SEO and traditional search, ultimately increasing brand visibility.

## The Hype Problem: Scams, Snake Oil, and How to Spot Them

As AI search gains traction, it's easy to get caught up in the hype. Knowing how and where to spot scams is key to maintaining brand credibility.

John Mueller, Google's Senior Webmaster Trends Analyst and Search Relations team lead, has warned companies to be wary of marketers who say they can guarantee rankings, because that's not how it works. Some brands have invested upwards of $50,000 in AI optimisation services and tools, with results that are underwhelming at best.

Another scam to watch out for is what Rand Fishkin calls "spicy autocomplete," in which vendors manipulate search suggestions or results for short-term gains that are rarely sustained over time. In fact, Gotza's evidence-based analysis indicates that supposed AI advantages disappear when measured against real traffic and engagement.

Then there's Tom Pick, who criticises "magical optimisation solutions" promising instant results with no clear strategy or methodology. Instead, Pick encourages brands to stick to traditional SEO fundamentals for long-term results.

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To make the most of your AI search efforts, it's important to separate credible strategy from marketing hype.

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## A Practical Framework: What to Do Now

So what should brands actually do in response to these changes? The best approach to building a practical framework is to layer GEO optimization and AEO optimization on top of an already strong traditional SEO strategy, creating a comprehensive plan for AI SEO optimization, [tracking your brand in AI responses](https://www.searchable.com/blog/tracking-brand-ai-responses).

A three-tier foundation includes foundation, growth, and maturity:

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### Tier 1 (Foundation)

Get your SEO fundamentals right. Start by implementing strong traditional SEO practices, such as site structure, quality content, and authority signals. Without this foundation in place, any AI-specific growth will be limited.

Real world example: CodingName started with SEO fundamentals before layering in AI optimisations. The result? A 1,041% increase in revenue.

### Tier 2 (Growth)

After you've laid a solid foundation, it's time to add AI-specific optimisations such as:

- Citation-worthy passages
- Third-party presence on forums and social platforms
- Structured answers formatted for snippets and voice search
- AI monitoring to track citations and visibility

Real-world example: A Fortune 500 auto brand using these strategies saw a 300% increase in inquiries.

### Tier 3 (Maturity)

The final tier is all about measurement, iteration, and optimisation. These include:

- Setting up AI referral tracking to better understand which AI sources are driving the most traffic and conversions to your site
- Conducting citation monitoring
- Running A/B tests to optimise answer formatting

Real-world examples: Stack Overflow is seeing an increase in brand visibility and engagement by iterating AI optimisations whereas HubSpot provides a cautionary case where AI-driven strategies without careful measurement led to inflated expectations.

## Common Misconceptions About GEO, AEO, and SEO

With AI-driven search increasingly relevant to brand SEO strategy, it's no surprise that myths and misconceptions would emerge.

Six myths and misconceptions to consider:

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## Frequently Asked Questions

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## The Bottom Line

Terms like GEO, AEO, and LLM SEO will continue to shift and evolve as we go, however the core principles driving results stay firm. Your brand's content should be high-quality, have a clear structure, topical authority, and credibility signals.

Tools like Searchable make it easier to monitor how your content is being surfaced in AI answers, helping you measure impact and iterate effectively. Our [AI search optimisation guide](https://www.searchable.com/blog/ai-search-optimisation-guide) is a good place to start.

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