Module 1 · Lesson 1
From search results to answers: what GEO is
The video for this lesson is coming soon. Meanwhile, the full text is below.
From search results to answers: what GEO is
For twenty years, searching online meant getting a list of links. Your job as a marketer was to get your page near the top of that list and earn the click.
That's changing. More and more people ask ChatGPT, Perplexity, Gemini or Copilot, or read the AI summary Google shows above the results. What they get isn't a list. It's a written answer, with a handful of brands named and a handful of sources linked.
What GEO is
GEO (Generative Engine Optimization) is the work of getting those engines to mention, cite and recommend your brand when someone asks about something you sell or know about.
The term was coined in November 2023 by a team of researchers from Princeton and other institutions (Aggarwal et al.), in a paper later presented at KDD 2024. They built a large benchmark of queries across many domains and measured which changes to a page made a generative engine use it more in its answer. Their headline finding: some content changes, like adding sources, statistics or expert quotes, boosted visibility by up to 40%, while keyword stuffing didn't help. We'll come back to that study in module 2, limitations included.
Why it matters now
This isn't a niche trend. A few public numbers:
- OpenAI announced in February 2026 that ChatGPT had 900 million weekly users.
- Google said in July 2026 that AI Mode, its conversational search mode, had passed 1 billion monthly active users, and that it now blends AI Mode and AI Overviews into a single experience.
- A Pew Research study based on March 2025 browsing data found that when Google showed an AI summary, users clicked a traditional result on 8% of visits, versus 15% when there was no summary. Links inside the summary itself got clicked on just 1% of visits.
Put simply: a lot of questions now get resolved without leaving the answer. If your brand isn't in it, it doesn't exist for that user.
What changes for a brand
In a list of ten links, position seven still gets the occasional visit. A generated answer usually has room for three, five or ten brands, and everyone else disappears. On top of that:
- The unit is the passage, not the page. The engine pulls paragraphs from several sources and blends them.
- What others say about you matters as much as what you say. Reviews, comparisons, forums and media coverage all feed the answer.
- There's no fixed rank. The same question returns different answers each time, so you measure in percentages, not positions.
What GEO isn't
GEO isn't a trick to "hack" AI, and it doesn't replace SEO. Generative engines search the web, and most of them rely on search indexes like Google's or Bing's. If your site can't be crawled or has nothing useful on it, no amount of GEO will help. You can't buy the answer either: OpenAI, for example, keeps its ads separate from responses and says advertisers have no influence over them.
GEO comes down to three things: content worth citing, a brand other people talk about, and measuring whether AI actually considers you.
What you'll learn
In this course you'll see how these engines pick their sources, how to research the questions your customers ask, how to write citable content, how to earn mentions, what technical groundwork you need, how to measure all of it and how to turn it into a client service. Every lesson ends with a hands-on task on your own site or a client's. Let's do the first one right now.
You're going to see for yourself what AI says about your market. You'll need about 20 minutes and a spreadsheet.
- Write three questions a customer would ask before buying, in plain language. For example: "What invoicing software would you recommend for a freelancer in the US?" Leave your brand name out.
- Ask all three in ChatGPT, Perplexity and Gemini (free versions are fine). If you can, try them in Google too and see whether an AI summary shows up.
- For each answer, log in your sheet: whether your brand appears (yes or no), which competitors appear, and which websites are cited as sources.
- Ask one of the questions two more times in the same engine. Note whether the brands or their order change.
- Write two lines on what surprised you: who showed up that you didn't expect, and which sources keep coming back.
Keep the sheet. In lesson 5 you'll turn it into your first proper baseline.
Resources (5)
- GEO: Generative Engine Optimization (Aggarwal et al., KDD 2024)
- Pew Research: Google users are less likely to click on links when an AI summary appears
- TechCrunch: ChatGPT reaches 900M weekly active users (February 2026)
- Google: Q2 2026 earnings call, remarks from the CEO
- OpenAI: Testing ads in ChatGPT
Transcript
For twenty years, searching meant getting a list of links. Today, more and more people get a written answer instead. In this lesson, we look at what GEO is and why it already affects you.
In a list of ten links, even number seven gets the odd visit. A generated answer only has room for a few brands, and the rest vanish. And that answer isn't the same every time.
GEO stands for generative engine optimization. It's the work of getting ChatGPT, Perplexity, Gemini or Google's AI answers to mention you, cite you and recommend you.
A Pew Research study found that when Google showed an AI summary, users clicked a result on eight percent of visits. Without one, it was fifteen percent. Many questions now get answered without a single click.
The engine blends paragraphs from several sources. It uses your site, but also reviews, forums and media. And since the answer keeps changing, we measure how often you appear, not where you rank.
Generative engines search the web and lean on search engines like Google or Bing. Without a crawlable, useful site, there's nothing to work with. GEO is citable content, a brand people talk about, and measurement.
Now it's your turn. Ask three customer questions in ChatGPT, Perplexity and Gemini. Write down who shows up and which sources they use. It'll probably surprise you.