Key takeaways
- Start by writing down 20 real questions your buyers ask and recording what ChatGPT, Gemini, Perplexity and Naver AI Briefing answer today. That record is your baseline.
- Fix your brand facts before you write anything new. AI repeats what it finds, so wrong or inconsistent company information spreads into every answer.
- Rework three to five existing pages so each one answers a buyer question in the first paragraph, with facts written as plain text.
- AI trusts more than one source. Update directories, distributor pages and at least one outside article in the same month.
- Re-run the same questions after 30 days and compare. GEO is a monthly habit, not a one-time project.
Before you start: what GEO means in one minute
Generative Engine Optimization (GEO) is the work of making sure AI assistants can find, understand and correctly describe your company when buyers ask them questions. Classic SEO helps a page rank in a list of links. GEO helps your company appear inside the answer itself, often with a link to your page as a source.
This page is the practical starter version. If you want the full background, including how AI chooses sources and how to build a long-term strategy, read the complete GEO guide first or after you finish this checklist.
You need very little to begin: a spreadsheet, access to your website editor, two or three hours a week, and someone in sales who knows what customers actually ask.
Week 1: record how AI answers today
Ask sales and customer support for the questions they hear before a deal starts. Rewrite them the way a buyer would type them into an AI assistant. Aim for about 20, spread across three kinds of question.
- Problem questions. For example, how to reduce conveyor downtime on a food packaging line.
- Category questions. For example, which Korean suppliers make stainless food-grade bearings.
- Comparison questions. For example, your company versus a named competitor, or domestic versus imported parts.
Ask each question in ChatGPT, Gemini, Perplexity and Naver AI Briefing. For each answer, record four things in your spreadsheet: whether your company is mentioned, how it is described, which competitors appear, and which sources are linked. Save screenshots; answers change over time and you will want to compare.
Do not try to fix anything this week. The goal is an honest picture: where you are missing, where you are described wrongly, and which outside sites AI keeps citing in your category.
Week 2: fix your brand facts
Write a one-page fact sheet about your company in plain sentences: what you make, for which industries, where you are located, key certifications, main product lines, minimum order and typical lead time, and how to contact you. Have someone outside marketing check every line.
Then compare that sheet with every place your company is described: your homepage and About page, Naver business listings, industry directories, distributor sites, your LinkedIn company page and old press releases. Correct anything that is out of date, such as a discontinued product, an old address or a certification that has lapsed.
This step looks small, but it often matters most. When AI finds two different descriptions of the same company, it either picks one at random or leaves the company out because it cannot confirm the facts.
Week 3: rework three to five key pages
Pick the pages that match your most important questions from Week 1, usually the homepage, two or three product pages and one page about the problem you solve. You are not writing new pages yet; you are making existing ones easy for AI to read and quote.
- Answer first. Open each page with two or three sentences that say who it is for and what problem it solves.
- Facts as text. Move key specifications, certifications and lead times out of images and PDFs into plain text on the page.
- Add a short FAQ. Use the buyer questions from Week 1 and answer each in two or three sentences.
- Use clear headings. One idea per section, with headings that read like the question they answer.
- Check crawler access. Make sure robots.txt does not block the AI crawlers you want, and consider an llms.txt file.
For the last point, our robots.txt and llms.txt guide explains what to allow and why. For product pages specifically, see how to write a product page AI can cite.
Week 4: publish beyond your own site
AI assistants rarely rely on a single website. They look for the same facts confirmed in several places. In Week 1 you noted which outside sources AI cites in your category; this week, make sure your company is present and accurate on a few of them.
- Industry directories and association member lists, with the same description as your fact sheet.
- Distributor and agent pages that carry your products, with current model names.
- One outside article, such as a trade media contribution, an interview or a technical post on a community site.
- Your Naver blog or YouTube channel, if you have one, with a post that answers one of your buyer questions.
Quality matters more than volume. Three accurate, consistent outside mentions do more than thirty thin ones. Our guide to distributing GEO content covers channel choices in more detail.
The 30-day checklist at a glance
| Week | What to do | Done when |
|---|---|---|
| Week 1 | Collect buyer questions and test them in four AI assistants | A spreadsheet with about 20 questions, answers, competitors and sources |
| Week 2 | Write a fact sheet and correct every listing | One checked fact sheet and a list of fixed listings |
| Week 3 | Rework three to five key pages | Each page answers a question first and has a short FAQ |
| Week 4 | Update outside sources and publish one outside article | Consistent facts on your site and at least three outside sources |
| Day 30 | Re-run the Week 1 questions | A before-and-after comparison and next month's priorities |
Day 30: measure and decide what is next
Ask the same 20 questions in the same AI assistants and fill in a second column. Look for three kinds of change: questions where you now appear, descriptions that became more accurate, and new sources linking to you. Some answers will not move yet; AI systems refresh at different speeds, and a month is the start, not the finish.
Then pick next month's focus from the gaps: usually one or two new pages that answer questions where only competitors appear. Our guide to measuring GEO explains which numbers are worth tracking over a longer period.
If doing this by hand becomes a burden, this is the loop flowgen runs for you. GEO Insight records how AI answers describe you, Prompt Demand shows which buyer questions are worth winning, and Analytics compares the results after each change.
Common mistakes in the first month
- Writing ten new blog posts before checking whether the basic company facts are correct.
- Testing only one AI assistant, or only questions that include your brand name.
- Hiding key facts in a catalogue PDF or a product image.
- Judging the results after one week and stopping before AI has had time to pick up the changes.