Key Takeaway
GEO and SEO share goals but require different signals – SEO targets ranked link placement via keyword optimisation and backlinks, while GEO targets cited source selection in AI-generated answers via brand mentions, structured data, and answer-first content.
GEO vs SEO: What’s the Difference and Do You Need Both?
GEO is getting talked about as if it replaces SEO. It doesn’t. But treating them as the same discipline will leave you blind to a growing portion of how people actually find things – and potentially what they spend their money on.
Here’s a clear breakdown of what each covers, where the overlap genuinely lies, and how to think about both without overcomplicating it.
The Short Version
SEO optimises your website to rank in traditional search engine results pages – primarily Google and Bing. The output is a ranked list of links. Users click through.
Key Takeaways
- The Short Version
- Where They Overlap
- Where They Diverge
- 1. Keyword targeting vs answer extraction
GEO optimises your website to be cited by AI search engines – ChatGPT, Perplexity, Google AI Overviews, Claude. The output is a synthesised answer. Your source may or may not be visible to the user, but it shapes what response they get.
Different outputs. Different user behaviours. Partially different signals. Not entirely separate worlds, but distinct enough that you can’t just assume one covers the other.
Where They Overlap
GEO and SEO share a real foundation. Most of what makes a site good for traditional search also makes it better for AI search:
- Technical health: fast pages, crawlable structure, no broken links, HTTPS
- Content quality: well-written, accurate, substantive content on topics your audience actually cares about
- Authority: backlinks, brand mentions, domain reputation
- Structured data: schema markup helps both Google rich results and AI engine understanding
- E-E-A-T: expertise, experience, authoritativeness, and trustworthiness are evaluated by both Google’s quality raters and AI citation logic
If you’ve put in the work on SEO, you’re probably 40-60% of the way to decent GEO. That overlap is real and you shouldn’t discount it – it means a lot of the investment you’ve already made in your site isn’t wasted.
Where They Diverge
1. Keyword targeting vs answer extraction
In practice, SEO comes down to keyword relevance – matching search intent at the query level. GEO, on the other hand, is about answer completeness – providing the most useful, credible response to a broad question.
In SEO, you’re trying to rank #1 for “best CRM for small business”. In GEO, you’re trying to be the source that ChatGPT draws on whenever someone asks anything related to choosing CRM software for small businesses – a much broader surface area, and a different kind of optimisation to get there.
2. AI bot access is a GEO-specific concern
Traditional SEO only has to think about Googlebot and Bingbot. GEO introduces four more: GPTBot (OpenAI), ClaudeBot (Anthropic), PerplexityBot, and Google-Extended (for Gemini and AI Overviews).
A surprising number of sites accidentally block these in robots.txt. That has zero impact on Google rankings, but it completely cuts off AI search visibility – you simply don’t get indexed by those systems. A GEO audit tool like SearchScore checks all four bots. Most traditional SEO tools don’t even look for them.
3. llms.txt has no SEO equivalent
llms.txt – a plain text file that gives AI engines a structured summary of your site – has no parallel in traditional SEO. Sitemaps tell search crawlers which URLs exist. llms.txt tells language models what your site actually means: who you are, what topics you cover, what pages matter most.
It’s a new primitive. Doesn’t exist in the SEO world at all.
4. Entity recognition matters more in GEO
SEO cares about domain authority and the quality of backlinks. GEO cares about entity recognition – whether AI engines can identify your brand as a real, known entity in the broader knowledge graph.
Wikidata presence, consistent sameAs links inside your Organisation schema, and brand mention patterns across the web all feed entity recognition. These signals barely move the needle in traditional SEO. In GEO, they matter quite a lot.
5. Citation vs ranking
The output metric is fundamentally different. SEO success is positions 1-3 on Google. GEO success is being cited inside an AI-generated answer. There’s no page 1 in AI search – there’s cited or not cited. That binary changes how you measure success and what you optimise toward.
The GEO Signals That Don’t Help SEO
Some GEO work has minimal traditional SEO value:
- llms.txt – AI engines only, no SEO benefit
- GPTBot / ClaudeBot access in robots.txt – doesn’t affect Google rankings
- Wikidata entity – negligible direct SEO impact
- Citation frequency (how often ChatGPT mentions you) – not a Google ranking factor
These are pure GEO investments. Worth making – but they won’t move your Google rankings, so don’t expect them to.
The SEO Work That Doesn’t Help GEO
Some traditional SEO activities have limited GEO value:
- Exact-match keyword density – AI engines evaluate content quality, not keyword frequency
- Link building purely for PageRank – backlinks help GEO indirectly through authority signals, but the direct mechanism is different
- Title tag optimisation – important for click-through rates in SERPs, largely irrelevant for AI citations
- Meta keywords – dead for both, but especially irrelevant here
Do You Need Both?
Yes. Here’s the thinking:
Traditional search isn’t dead. Google still processes billions of queries daily. A meaningful portion of your audience still searches and clicks links. Abandoning SEO would be premature and costly.
AI search is growing fast. The share of queries handled by AI-synthesised answers is increasing every quarter. The audience that discovers products and services through ChatGPT and Perplexity is growing. Ignoring GEO now means catching up later in a channel that rewards early movers.
The overlap makes both more efficient. Because the foundations overlap significantly, investing in content quality, technical health, and E-E-A-T signals improves both simultaneously. The GEO-specific work – llms.txt, bot access, entity building – is relatively lightweight once a solid SEO foundation is in place.
How to Prioritise
If you’re working with limited time or budget, here’s how I’d think about sequencing:
If your SEO is already solid: Add the GEO-specific layer. Check bot access, add llms.txt, build your entity signals. This is a few days of focused work that opens up a new discovery channel.
If your SEO is weak: Fix the foundations first – they improve both channels. Technical health, content quality, E-E-A-T, schema markup. Then add GEO-specific signals on top once the baseline is right.
If you’re starting from scratch: Build with both in mind from day one. It’s much easier to build a GEO-aware site than to retrofit it later.
The Quick Diagnostic
Want to know where you actually stand on both?
For SEO: run a crawl with Screaming Frog or Ahrefs. Check Google Search Console for impressions and rankings.
For GEO: run a free audit at SearchScore.io. It checks 56 GEO-specific signals across seven categories and gives you a score out of 100 in about 30 seconds. Most sites land between 30-50 – there’s usually significant room to improve quickly.
Check both. Fix both. The advantage window is open right now.
More in This Series
- ↑ Pillar: What Is GEO? The Complete Guide
- How to Appear in ChatGPT Answers
- What Is llms.txt and Why Every Website Needs One
- Schema Markup for AI Search
- E-E-A-T for AI Search
Frequently Asked Questions
What is the main difference between GEO and SEO?
SEO optimises your website to appear in ranked link lists on Google or Bing. GEO optimises it to be cited as a source inside AI-generated answers from ChatGPT, Perplexity, and Google AI Overviews. The format difference – links versus synthesised answers – drives almost all the tactical differences between the two disciplines.
Can you do SEO and GEO at the same time?
Yes, and the overlap is substantial. Many GEO improvements – structured data, content quality, E-E-A-T signals, brand authority – also benefit traditional SEO. The key GEO-specific additions are AI crawler permissions, llms.txt, FAQPage schema, and a brand mention strategy that extends beyond link building.
Do keyword rankings still matter if you focus on GEO?
Keyword rankings remain important because Google’s index is still the primary data source for most AI engines. However, GEO requires additional optimisation for answer extraction – clear definitions, structured Q&A content, and schema markup – that keyword targeting alone doesn’t address.
GEO vs SEO: What’s the Difference and Do You Need Both?
