What does GEO actually involve?
GEO is the work of making your content, your brand, and your entity findable and citable by generative AI systems. When a user asks ChatGPT, Perplexity, Google Gemini, or Claude a question, the model retrieves context from its training data, from live web retrieval, or from both. GEO ensures your content is in that retrieval set and formatted so the model can extract, attribute, and cite it.
In practice it covers structured data, entity authority, content formatting, source credibility signals, and technical accessibility for AI crawlers, including files like llms.txt. It is not a rebrand of SEO. It is a different discipline that optimises for a different surface: the generated response. The term was formalised in academic research in 2024, but the underlying practices have been evolving since large language models started consuming web content at scale.
How does GEO differ from SEO and AEO?
The short answer: SEO gets you found in search results, AEO makes you the answer AI assistants give, and GEO is the wider umbrella that keeps you visible and cited across generative AI. The mechanisms differ. SEO relies heavily on backlinks, keyword relevance, and crawl efficiency. AEO relies on answer-shaped content, schema markup, and question-matching. GEO adds the layer neither fully addresses: optimising for the model’s retrieval and generation pipeline, not just a ranking algorithm. For a side-by-side breakdown, see SEO vs AEO.
- SEO target: the search results page (a list of links).
- AEO target: the direct answer, from featured snippets to assistant responses.
- GEO target: visibility and citations across every generative engine, with or without a source link.
Which engines does GEO target?
Every engine that generates answers from retrieved or trained content. Google AI Overviews are the most visible surface, appearing above traditional results. ChatGPT searches the web and cites sources inline. Perplexity operates as a dedicated answer engine, always citing with numbered references. Claude searches the web and cites sources when a question needs current information. Microsoft Copilot folds Bing results into generated answers. Each engine has its own retrieval habits and formatting preferences, so a robust GEO strategy accounts for all of them rather than optimising for one.
- Google AI Overviews: triggered by informational and commercial queries. See how to appear in AI Overviews.
- ChatGPT: searches the web and cites sources. See how to get cited by ChatGPT.
- Perplexity: always retrieves and always cites with numbered source links. See how to optimise for Perplexity.
- Claude: web search with inline citations. See how to optimise for Claude.
- Microsoft Copilot: integrates Bing search into generated responses.
How do you start with GEO?
Start with an audit. You need to know where your brand currently appears, and does not appear, in AI-generated answers across the major engines. From there, the work falls into four categories. First, entity authority: make your business identity consistent and well-structured across authoritative sources. Second, content formatting: restructure your highest-value pages so they answer questions directly. Third, structured data: give machines an unambiguous understanding of what your pages contain. Fourth, technical accessibility: make sure AI crawlers can reach your content without obstruction.
- Audit your current AI visibility across all major engines.
- Consolidate your entity identity across directories, knowledge bases, and structured data.
- Reformat key content pages to be answer-first and extraction-friendly.
- Implement comprehensive schema markup for all service and product pages.
- Publish an llms.txt file to guide AI crawlers to your best content.
- Monitor citations and iterate based on what the engines actually say.
Why does GEO matter now?
Because a growing share of buying questions are being answered by AI before anyone sees a results page. When a generative engine answers a question in your category and you are not in the answer, you are not losing the click. You are missing the conversation entirely. Citations are hard to win and most businesses start at zero, so honest expectations matter. For a sense of what early movement looks like: our client Chatime Franchising Australia is now cited in Google AI Overviews for tracked franchise queries, with a Perplexity citation alongside, measured in the 45 days to 13 June 2026. Modest, real, and checkable. That is the shape of progress in this channel, and it compounds while competitors are still debating whether AI search is real. If you want the work done for you, our GEO services run it end to end: the agent proposes the fixes, a senior SEO approves every change, and we check the live page after each one ships.