By KYN AI Advisory Team — AI implementation specialists, Singapore
Generative engine optimisation (GEO) is the practice of making your content easy for AI assistants such as ChatGPT, Perplexity, Gemini and Google's AI Overviews to find, understand and cite when they answer a question. It overlaps heavily with SEO. The additions are answer-first writing, clear facts with sources, crawler access for AI search bots, and measuring whether you are cited rather than only whether you rank. No one controls the output. You improve the odds, and you check the result.
How is GEO defined?
The term describes optimising for generative engines: systems that read several sources and write a single answer, often with links. When a buyer asks "which company builds custom finance systems in Singapore?", the assistant composes a reply and names a few sources. GEO is the work of being one of them.
Other names for the same work: AI search optimisation, answer engine optimisation (AEO), LLM optimisation. The labels differ; the tasks are close to the same.
KYN's own view: GEO is not a separate discipline from good publishing. It is publishing that an assistant can quote without guessing. We cover the Singapore angle in generative engine optimisation for Singapore SMEs, and the comparison with search in GEO vs SEO.
How do AI assistants pick sources?
The mechanics differ by product, and the vendors do not publish full ranking rules. What the documentation does state is useful.
- Google. Its guidance on AI features says there are no additional requirements to appear in AI Overviews or AI Mode, and no special optimisations or markup are needed. A page must be indexed and eligible to appear in Search with a snippet.
- OpenAI. Its crawler documentation says OAI-SearchBot is the bot that surfaces sites in ChatGPT's search features, and it recommends allowing it in robots.txt. GPTBot is a separate bot, tied to training, and the settings are independent.
- Perplexity. Its bot documentation says PerplexityBot helps sites appear in Perplexity search results and is not used to crawl content for training foundation models. Allow it in robots.txt to be eligible.
Read the common thread: if a bot cannot fetch your page, no technique helps. Access is the base layer.
What does GEO include?
Five areas, in order of how often they decide the outcome.
- Access. Your pages load without login, return 200, and are not blocked in robots.txt for the search bots above. Content sits in the HTML, not only behind scripts.
- Answer-first writing. Each page opens with the direct answer in two to four sentences. We explain the method in how to write an answer-first article that AI assistants cite.
- Specific, sourced facts. Numbers, dates and names, each with a link to its source. Assistants prefer claims they can attribute.
- Clear entity facts. Who you are, where you operate, what you sell, how to contact you. State them in plain text on the pages that matter, in consistent wording.
- Measurement. A repeatable check of whether assistants name you for the questions your buyers ask. See how to check if ChatGPT, Perplexity and Gemini cite your site.
Structured data and a file such as llms.txt are optional extras. Read llms.txt: what it is before spending time there.
What does GEO not do?
Be sceptical of the claims here.
- It does not control the answer. Assistants write their own text. They may omit you, misquote you or cite a competitor.
- It does not replace search. Many buyers still use a search engine, and AI features in Google draw on its index.
- It does not produce overnight results. Content has to be crawled, indexed and then selected. Expect weeks to months, and measure rather than hope.
- It is not a trick. Hidden text, fake reviews and keyword stuffing do not give an assistant a reason to cite you, and they put the site at risk with search engines.
- It cannot fix a weak offer. If nothing distinguishes you, an assistant has nothing distinct to say.
Who needs GEO?
Businesses whose buyers ask questions before they buy. For an SME in Singapore, Hong Kong, Indonesia or Malaysia that sells a considered service, such as accounting software, insurance, legal services or custom systems, a share of research now begins in an assistant. If your buyers search by asking "who does X in Y", your pages should answer that question directly.
If you sell low-consideration products through marketplaces, GEO is less central. Marketplace listings and reviews matter more.
How do you start with a small team?
A sound first month, in order:
- Check access. Confirm robots.txt allows the AI search bots and that key pages render without scripts.
- List 20 questions a buyer would ask. Write them as full sentences.
- Ask those questions in each assistant and record who is cited. This is your baseline.
- Rewrite your five most important pages so each opens with the direct answer, includes sourced numbers and names who you serve and where.
- Publish one new page per week answering one of the 20 questions in full.
- Repeat the check monthly and compare.
The work is writing and fact-checking. It is not a tool purchase.
What does a GEO check look like on one page?
Take an illustrative service page, "Bank reconciliation for SMEs in Singapore". Run it through four checks.
| Check | Pass condition | Fix if it fails | |---|---|---| | Access | Returns 200 without login; search bots allowed in robots.txt | Edit robots.txt; serve text in the HTML | | First paragraph | States what the service is, who it is for and where, in 2 to 4 sentences | Rewrite to lead with the answer | | Facts | Each number or deadline links to its source | Add the link or remove the number | | Entity | Company name, countries served and contact route appear in plain text | Add one factual line near the top |
Then ask an assistant the buyer's question and read the answer. Note three things: does it name you, does it cite your page, and does it state anything about you that is wrong. A wrong statement is a content task: find the page it drew from and correct it.
Keep the log. A table of question, assistant, date, named yes or no, and cited page is enough to show a trend after two or three months.
Where KYN fits
KYN builds the marketing system that runs the loop: an agent that drafts answer-first articles with sourced figures for a person to review, and a check that asks a fixed set of buyer questions in AI assistants and records who is named. Our article engine costs about S$0.06 per article and our AI search check about S$0.05 per check, across 22 checks. Everything runs in your cloud account, and a named person approves anything published.
The first 14 days are a review of your stack and interviews with your team. A full build ships in under 90 days. See marketing systems and the AI search check.
Frequently asked questions
Is GEO the same as SEO?
They overlap and share foundations: crawlable pages, useful content, clear facts. GEO adds focus on being quoted in a generated answer and on measuring citations. We compare them in GEO vs SEO.
Do I need special markup to appear in AI Overviews?
Google says no. Its guidance states there is no special schema.org markup or AI text file required, and that a page must be indexed and eligible to appear in Search with a snippet. Structured data that matches your visible text is fine.
How long does GEO take to show results?
There is no fixed time. Pages must be crawled and selected, and assistants differ. Measure the same 20 questions monthly, and judge by that trend rather than by a promise.
Checked 30 October 2026.
Curious whether Marketing agents fits your business? Talk to KYN on WhatsApp — no forms, just a conversation.
