
Our Three Step Process
October 7, 2026
What Is Generative Engine Optimization (GEO)? A Starter Guide for SEA Brands

Our Three Step Process
October 7, 2026
What Is Generative Engine Optimization (GEO)? A Starter Guide for SEA Brands
Generative engine optimization gets your brand cited in AI answers from ChatGPT, Gemini and Google AI Overviews. What it is, how it differs from SEO, and five steps to start.
What generative engine optimization means
Generative engine optimization (GEO) is the practice of getting your brand named, quoted, or linked in the answers that AI tools write. That covers ChatGPT, Gemini, Perplexity, Claude, and the AI Overviews at the top of Google.
Try it with your own category. Ask ChatGPT "which is the best [your product] in Thailand?" and read the answer. It names three or four brands and gives a reason for each. Nobody scrolls to page two, because there is no page two. If your brand is not in that paragraph, the buyer never learns you exist.
That is the problem GEO solves. You may also see it called AI search optimization, AI SEO, or answer engine optimization. The labels differ and the work is the same.
GEO vs SEO: what changes and what stays
GEO does not replace SEO. AI engines lean on pages that already rank and are already trusted, so a site with weak SEO has little for an AI model to draw on. GEO is a second layer on the same foundation, with a different goal.
SEO | GEO | |
|---|---|---|
Goal | Rank on the results page | Be named in the AI answer |
What the user sees | A list of links | One written answer, with a few sources |
Unit of competition | The page | The passage, fact, or brand mention |
What earns it | Relevance, links, technical health | Clear facts, structure, mentions on other trusted sites |
Main metric | Rankings, clicks, organic traffic | Citation rate, share of voice in AI answers |
Where it happens | Mostly your own site | Your site plus reviews, directories, press, forums |
The last row is the one most teams miss. An AI model forms its view of your brand from everything written about you, and your own website is a small part of that.
How AI engines decide what to cite
An AI answer comes from two places, and each needs a different kind of work.
What the model learned in training. The model has read a large share of the public web. Brands that are described often, consistently, and by sources other than themselves are the ones it remembers. This changes slowly, over months, as new model versions are trained.
What it looks up at the moment you ask. For most commercial questions the engine runs a live search, reads a handful of pages, and writes the answer from them. This changes quickly. A page published this week can be cited next week.
In both cases the engine favors content it can lift cleanly. In practice that means:
A direct answer near the top. A page that answers the question in its first two lines gets quoted more than one that warms up for three paragraphs.
Specific, checkable facts. Prices, sizes, dates, locations, named features. Vague claims give the model nothing to quote.
Agreement across sources. If your site, your Google Business Profile, and three review sites say the same thing about you, the model treats it as reliable.
Structure a machine can read. Clear headings, tables, FAQ sections, and schema markup make it easy to find the right passage.
Freshness. A visible last-updated date and current information matter for live lookups.
Five steps to start GEO
1. Baseline your AI visibility
Write down the 20 questions a buyer asks before choosing a brand in your category. Run each one through ChatGPT, Gemini, Perplexity, and Google, in every language your customers use. Record three things: whether you appear, who appears instead, and which sources the engine cites. This spreadsheet is your starting point, and it usually takes an afternoon.
2. Fix the facts about your brand everywhere
Check what the engines say about you against the truth. Wrong opening hours, an old price, a discontinued product: these come from stale pages somewhere on the web. Update your own site first, then your Google Business Profile, marketplace listings, directories, and any partner pages. Consistency here is the cheapest GEO win there is.
3. Rewrite your key pages to answer first
Take the pages that match your 20 questions. Put the answer in the opening two lines, then support it. Add the specifics a model can quote: numbers, comparisons, a short table, a FAQ block with real questions. Add schema markup for products, FAQs, and your organization.
4. Earn mentions on the sources AI already cites
Your baseline from step 1 shows which sites the engines pull from in your category. They are often review platforms, comparison articles, industry publications, and community threads. Getting your brand accurately described on those pages does more than another blog post on your own domain. This is where PR and GEO become the same job.
5. Build local-language content from scratch
There is far less Thai, Bahasa, and Vietnamese material on most topics than English. An engine answering in Thai has fewer sources to choose from, so a clear, well-structured Thai page has a better chance of being the one it cites. A translated English page rarely earns that spot, because local buyers ask different questions and use different words. Start from the questions people ask in that language.
How to measure GEO
Clicks undercount GEO, because many AI answers end without a visit to anyone's site. Track these four instead, monthly, against the baseline from step 1.
Citation rate: the share of your tracked questions where your brand appears in the answer.
Share of voice: how often you are named compared with your top three competitors.
Accuracy: whether what the engine says about you is correct and current.
Branded search: the trend in people searching your brand name on Google. A buyer who met you in a chatbot often arrives this way a few days later.
Re-run the same questions each month. AI answers vary from one run to the next, so judge the trend across all 20 and ignore single results.
Common questions
Is GEO the same as SEO? No. SEO aims for a ranking on the results page. GEO aims for a mention inside the AI-written answer. They share a foundation, and good SEO makes GEO easier.
How long does GEO take to show results? For questions where the engine runs a live search, changes can show within weeks. Shifting what a model learned in training takes longer, usually until the next model version.
Do I need new tools? Not to start. A spreadsheet and the free versions of the main AI tools are enough for a baseline. Tracking tools help once you follow more than a few dozen questions across markets.
Does GEO work for Thai-language search? Yes, and competition is lighter. Fewer brands have published clear, structured Thai content, so early movers are cited more easily.
Start with a baseline
GEO rewards the brands that show up early, because AI engines keep citing the sources they already trust. Search interest in the topic in Thailand is still a small fraction of the global figure, which means most of your competitors have not started.
AgentDee is an AI-native performance marketing agency in Bangkok. We run SEO and GEO programs for brands across Southeast Asia and track AI visibility with our own platform.
Want to know where your brand stands in AI answers today? Ask us for a baseline at agentdee.ai.
Generative engine optimization gets your brand cited in AI answers from ChatGPT, Gemini and Google AI Overviews. What it is, how it differs from SEO, and five steps to start.
What generative engine optimization means
Generative engine optimization (GEO) is the practice of getting your brand named, quoted, or linked in the answers that AI tools write. That covers ChatGPT, Gemini, Perplexity, Claude, and the AI Overviews at the top of Google.
Try it with your own category. Ask ChatGPT "which is the best [your product] in Thailand?" and read the answer. It names three or four brands and gives a reason for each. Nobody scrolls to page two, because there is no page two. If your brand is not in that paragraph, the buyer never learns you exist.
That is the problem GEO solves. You may also see it called AI search optimization, AI SEO, or answer engine optimization. The labels differ and the work is the same.
GEO vs SEO: what changes and what stays
GEO does not replace SEO. AI engines lean on pages that already rank and are already trusted, so a site with weak SEO has little for an AI model to draw on. GEO is a second layer on the same foundation, with a different goal.
SEO | GEO | |
|---|---|---|
Goal | Rank on the results page | Be named in the AI answer |
What the user sees | A list of links | One written answer, with a few sources |
Unit of competition | The page | The passage, fact, or brand mention |
What earns it | Relevance, links, technical health | Clear facts, structure, mentions on other trusted sites |
Main metric | Rankings, clicks, organic traffic | Citation rate, share of voice in AI answers |
Where it happens | Mostly your own site | Your site plus reviews, directories, press, forums |
The last row is the one most teams miss. An AI model forms its view of your brand from everything written about you, and your own website is a small part of that.
How AI engines decide what to cite
An AI answer comes from two places, and each needs a different kind of work.
What the model learned in training. The model has read a large share of the public web. Brands that are described often, consistently, and by sources other than themselves are the ones it remembers. This changes slowly, over months, as new model versions are trained.
What it looks up at the moment you ask. For most commercial questions the engine runs a live search, reads a handful of pages, and writes the answer from them. This changes quickly. A page published this week can be cited next week.
In both cases the engine favors content it can lift cleanly. In practice that means:
A direct answer near the top. A page that answers the question in its first two lines gets quoted more than one that warms up for three paragraphs.
Specific, checkable facts. Prices, sizes, dates, locations, named features. Vague claims give the model nothing to quote.
Agreement across sources. If your site, your Google Business Profile, and three review sites say the same thing about you, the model treats it as reliable.
Structure a machine can read. Clear headings, tables, FAQ sections, and schema markup make it easy to find the right passage.
Freshness. A visible last-updated date and current information matter for live lookups.
Five steps to start GEO
1. Baseline your AI visibility
Write down the 20 questions a buyer asks before choosing a brand in your category. Run each one through ChatGPT, Gemini, Perplexity, and Google, in every language your customers use. Record three things: whether you appear, who appears instead, and which sources the engine cites. This spreadsheet is your starting point, and it usually takes an afternoon.
2. Fix the facts about your brand everywhere
Check what the engines say about you against the truth. Wrong opening hours, an old price, a discontinued product: these come from stale pages somewhere on the web. Update your own site first, then your Google Business Profile, marketplace listings, directories, and any partner pages. Consistency here is the cheapest GEO win there is.
3. Rewrite your key pages to answer first
Take the pages that match your 20 questions. Put the answer in the opening two lines, then support it. Add the specifics a model can quote: numbers, comparisons, a short table, a FAQ block with real questions. Add schema markup for products, FAQs, and your organization.
4. Earn mentions on the sources AI already cites
Your baseline from step 1 shows which sites the engines pull from in your category. They are often review platforms, comparison articles, industry publications, and community threads. Getting your brand accurately described on those pages does more than another blog post on your own domain. This is where PR and GEO become the same job.
5. Build local-language content from scratch
There is far less Thai, Bahasa, and Vietnamese material on most topics than English. An engine answering in Thai has fewer sources to choose from, so a clear, well-structured Thai page has a better chance of being the one it cites. A translated English page rarely earns that spot, because local buyers ask different questions and use different words. Start from the questions people ask in that language.
How to measure GEO
Clicks undercount GEO, because many AI answers end without a visit to anyone's site. Track these four instead, monthly, against the baseline from step 1.
Citation rate: the share of your tracked questions where your brand appears in the answer.
Share of voice: how often you are named compared with your top three competitors.
Accuracy: whether what the engine says about you is correct and current.
Branded search: the trend in people searching your brand name on Google. A buyer who met you in a chatbot often arrives this way a few days later.
Re-run the same questions each month. AI answers vary from one run to the next, so judge the trend across all 20 and ignore single results.
Common questions
Is GEO the same as SEO? No. SEO aims for a ranking on the results page. GEO aims for a mention inside the AI-written answer. They share a foundation, and good SEO makes GEO easier.
How long does GEO take to show results? For questions where the engine runs a live search, changes can show within weeks. Shifting what a model learned in training takes longer, usually until the next model version.
Do I need new tools? Not to start. A spreadsheet and the free versions of the main AI tools are enough for a baseline. Tracking tools help once you follow more than a few dozen questions across markets.
Does GEO work for Thai-language search? Yes, and competition is lighter. Fewer brands have published clear, structured Thai content, so early movers are cited more easily.
Start with a baseline
GEO rewards the brands that show up early, because AI engines keep citing the sources they already trust. Search interest in the topic in Thailand is still a small fraction of the global figure, which means most of your competitors have not started.
AgentDee is an AI-native performance marketing agency in Bangkok. We run SEO and GEO programs for brands across Southeast Asia and track AI visibility with our own platform.
Want to know where your brand stands in AI answers today? Ask us for a baseline at agentdee.ai.
Other Blogs
Other Blogs
Check our other project Blogs with useful insight and information for your businesses
Other Blogs
Other Blogs
Check our other project Blogs with useful insight and information for your businesses


