GEO, AIO and AEO are approaches to being cited or summarised by AI-driven answer systems, such as Google’s AI Overviews, ChatGPT search, Perplexity and Microsoft Copilot, while organic SEO focuses on ranking pages in classic search results. They overlap heavily. Organic SEO builds the crawlable, trusted content that answer engines draw from; GEO and AEO shape that content so it is easy to extract, quote and attribute.
The terms are used loosely. GEO usually means generative engine optimisation, AEO answer engine optimisation, and AIO either AI optimisation or optimising for AI Overviews. In practice, they describe the same goal from slightly different angles.
How do answer engines differ from classic search?
Classic search returns a list of links. The user chooses, clicks and reads. Answer engines generate a response, often citing a few sources, and many users do not click at all. That changes what success looks like: being one of the cited sources, and being described accurately, matters as much as ranking position.
Most answer engines still rely on a search index to find sources. Google’s AI Overviews draw on Google’s index; ChatGPT search and Copilot use search providers and their own crawlers; Perplexity runs its own crawler and index. If a page is not indexed or crawlable, it is unlikely to be cited.
- Classic search: ranking, click-through rate, sessions
- Answer engines: citation, mention of brand, accuracy of description, referral visits
Where does organic SEO still earn its place?
Organic SEO remains the foundation. Technical health (crawlability, indexation, site speed, structured data), topical depth, and links from trusted sites all affect whether a page appears in classic results and whether it is considered as a source by answer systems. Many queries, especially navigational and transactional ones, still lead to clicks on organic listings and shopping results.
For commercial queries such as “buy running shoes size 44” or “plumber near me”, users want to act, and classic results, maps and product listings still carry most of the traffic. For these, investing in organic rankings, local SEO and product data is still the main lever.
Where do GEO and AEO add something new?
Answer engines favour content that answers a question clearly and early, uses specific facts, and is structured so a passage can stand alone. A page that buries the answer below a long introduction may rank, yet not be the passage an AI system chooses to quote.
GEO and AEO work therefore focuses on how information is presented, not just which keywords are covered.
- Start each section with a direct answer of one or two sentences
- Use question-based headings that match how people ask
- Include specific, verifiable facts: dates, steps, definitions, named tools
- Mark up content with relevant structured data such as FAQ, HowTo or Product, where it fits
- Keep author and organisation information visible to show expertise
- Make sure your brand is described consistently on your site and on third-party sites
The last point is often overlooked. Answer engines combine information from many sources. If directories, review sites and articles describe your business differently, the AI’s description may be inaccurate.
Can you measure GEO the way you measure SEO?
Not with the same precision. Google Search Console includes AI Overviews traffic in its overall performance data without a separate filter at the time of writing, so isolating it is difficult. Answer engines do not provide rankings. Most measurement relies on sampling: asking a set of relevant questions in different AI tools on a schedule and recording whether your brand is mentioned, cited or linked.
Referral data helps. In Google Analytics 4, sessions from chatgpt.com, perplexity.ai, copilot.microsoft.com and similar sources can be grouped into a custom channel. The numbers are often small but growing, and their conversion rate can be checked against other channels.
A simple tracking routine
- Choose 20 to 50 questions customers ask before buying
- Ask each question monthly in two or three AI tools and record citations and mentions
- Track referral sessions from AI sources in analytics
- Compare against organic rankings for the same topics
How should you split effort between the two?
For most businesses, the split is not a budget choice between separate projects. It is a writing and structure standard applied to organic content. Every page that targets an informational question should be written so that it ranks and so that its key passages are easy to quote.
Some work is specific to answer engines: monitoring brand mentions, improving third-party descriptions, and checking that AI crawlers such as GPTBot, PerplexityBot or Google-Extended are allowed or blocked according to your policy in robots.txt. Blocking them may reduce the chance of being cited; allowing them means your content may be used in training or answers. That is a business decision worth making deliberately.
Which approach should a small team prioritise?
If the site has technical problems or thin content, fix those first; no answer engine optimisation will help pages that are not indexed or trusted. If the site is healthy and ranks for its topics, restructure the most important informational pages for direct answers and add structured data. Then start the monthly sampling routine to see which pages get cited.
Commercial and local businesses should keep most effort on organic rankings, local profiles and reviews, while making sure their basic facts (services, location, prices where public, opening hours) are consistent everywhere answer engines might look.
What does content written for both look like?
Take a page answering “how long does a kitchen renovation take”. An SEO-only approach might start with a story about the company’s experience before reaching the answer. A version written for both organic search and answer engines starts with a direct sentence: a typical range for a standard kitchen, stated as an example, and the main factors that change it. Then it expands with sections on planning, permits, supply delays and installation, each opening with its own short answer.
Both versions can rank. The second is easier for an AI system to quote accurately, and it serves the reader who wants the answer fast. It also tends to earn featured snippets in classic search, which is one reason the two approaches overlap so much.
- Lead with the answer, then the explanation
- One idea per section, with a heading that states the question
- Named sources, tools and standards where they support a claim
- Clear authorship and a visible date of the last update
Avoiding tactics that backfire
Some advice sold as GEO repeats old spam tactics: mass-producing thin question pages, inserting the brand name into every sentence, or publishing fake comparison lists that always put the author first. Google’s spam policies on scaled content abuse apply regardless of whether content is aimed at classic results or AI Overviews, and answer engines that detect low-value patterns are likely to ignore such pages. Quality and accuracy remain the safer route.
Where to start this week
List the ten questions your customers most often ask before buying. Search each one in Google and in one AI tool such as ChatGPT or Perplexity, and record which sources appear. Then pick the page on your site that should answer the most valuable question and rewrite its opening paragraph so it answers directly in under 80 words.
Check your robots.txt for AI crawler rules and decide whether they match your policy. Set a monthly reminder to repeat the question sampling, so you can see whether the changes affect citations over time.
Keep reading: GEO – AIO – AEO · GEO