GEO basics: how people find your brand through AI

People may meet your brand in an answer

Someone needs a new pair of shoes. They ask AI which shoes suit a first long walk. The answer names a few brands and may link to stores or reviews. That person could learn about a brand they had never heard of before.

The same idea applies to a local service or a software tool. A name in an answer can put you on a person’s list of options. A link can give them a way to reach your site. Neither one proves that they will visit or buy.

GEO is work, not a switch

GEO stands for generative engine optimization. People use this term for work aimed at helping a brand or its content appear in AI answers. That work can include making useful pages, fixing access problems, and checking how a brand is described.

There is no button that makes AI recommend you. Paying for a tracking tool does not buy a place in an answer. A tool can help you collect evidence and spot things to work on. You still need to decide which changes make sense for your business.

Keep three goals separate

Being named, getting a site visit, and making a sale are different events. Start by asking which one you want to measure. A report on brand mentions cannot tell you how much money those mentions earned.

You can learn the basics with a small list of questions and saved answers. You do not need an account with VibeSEO or any other paid tool to use this guide. The examples here are invented to explain the ideas, not results from real customers.

A name and a link are not the same

A brand mention is the brand’s name in the answer. A citation is a reference that points to a source, often a linked page. Your brand may be named with no link to your site. Your page may be linked without your brand being named in the text.

Imagine an answer names a shoe brand but links to a review on another site. The shoe brand has a mention. The review page has a citation. Do not count that link as a visit to the shoe brand’s store.

A source is material used to support an answer. A visible link lets you inspect a cited source. It does not reveal every piece of information behind the answer or prove that the AI trusts the whole site.

The same question can lead to different answers

Keep track of which service you used, the question, the date, the country, and the language. Different settings can lead to different results. An answer you get in a personal chat may not match one collected by a tracking tool.

Google says AI Overviews and AI Mode can use different models and methods. They may search related questions to build an answer. AI Overviews do not appear for every search. A missing AI Overview is not an answer that forgot your brand.

Read the source: Google: AI features and your website

Access is only one step

A crawler is a bot that fetches pages. A robots.txt file tells cooperating crawlers which parts of a site they may fetch. An allowed rule does not prove that a bot visited. Nor does a visit prove that a page was used in an answer.

A server log can help show that a request reached your site. A citation shows a reference in an answer. A referral is a person’s visit from another service. Treat these as separate pieces of evidence, not three names for the same thing.

Read the source: Google: introduction to robots.txt

Start with what people need

A prompt is simply what you ask or tell an AI service. For tracking, choose questions that fit the people you want to reach. Start with things they ask your team, questions in support messages, or choices they face before buying.

Do not begin with every feature on your website. Think about the job a person wants done. Ask one clear question at a time. A short question in everyday words is often a better starting point than a long description of your product.

Use topics to keep the list clear

A topic is a group of questions about one need. It is not a new page you must publish. These invented examples show how a broad need can become a question:

• Local service — dental care: “How can I find a dentist for a nervous child?”
• Store — walking shoes: “Which shoes should I choose for long walks in the rain?”
• Software — team planning: “What is a simple planning tool for a small team?”

Separate discovery from questions about your brand

“Which planning tool is easy to use?” checks whether your brand comes up on its own. “Is Brand A easy to use?” asks about a brand you have already named. Both can be useful, but they test different things. Keep their results separate.

Choose a mix of needs rather than five versions of one question. Include price, ease of use, or a specific task only when it matters to your customers. Do not invent a budget or an audience just to make the question sound precise.

AI can suggest a draft list, but you should review it. A generated question is not proof that people really ask it, and it is not a search-volume estimate. Keep a note of why each question belongs in your list. Remove ones that do not fit.

Try reading each question aloud. Would a customer say this, or does it sound like a sales pitch? Ask someone who knows your customers to check the list. A few useful questions are a better start than a large set nobody has reviewed.

Know what the numbers cover

Every result comes from a set of answers. This set is your sample. Before reading a percentage, check how many answers are in it, which questions were asked, and which services were used. Ten answers are not a map of all AI searches.

Imagine you run a shoe shop. You save ten AI answers to questions such as “Where can I buy shoes for long walks?” You check which shops are named. Here is an invented result, counting each shop once per answer:

Visibility: how often did the brand appear?

Your shop appears in four of the ten answers. Its visibility in this sample is 40%: four divided by ten. Put simply, AI named your shop in four answers and did not name it in six. This does not mean 40% of AI users saw your shop.

Share of Voice: how much of the tracked total?

Now ask a different question: of all the shop appearances we counted, how many were yours? The three shops have twelve in total: four plus six plus two. One answer can name more than one brand. Your shop accounts for four of those twelve appearances, or about 33%. That is its Share of Voice in this group.

Imagine you stop tracking the sports store. The same answers now give you four of ten tracked appearances: 40% SOV. Your shop did not become more popular. You only changed the comparison. Its visibility is still four of ten answers: 40%.

Tools may use different counting rules. Check their method before comparing scores. Do not compare a score based on every mention with one that counts each brand just once per answer.

Zero is not the same as unknown

Zero means the brand was not found in answers that could be checked. Unknown means there was not enough usable data to decide. A failed check, a missing AI Overview, or an unfinished analysis should not silently become a zero.

Read some full answers before acting on a chart. A name in a warning is still a mention, but it is not a recommendation. Also check links: a source count is not a count of visits, readers, or sales.

If visibility rises from 40% to 60%, that is a rise of 20 percentage points. It is not proof of 20% more customers. Before celebrating, check whether the questions, number of answers, and tracked brands stayed the same.

Turn a result into a question you can test

A low score does not tell you the cause. First check that the tracked questions fit your business and that your brand name was matched correctly. Then look for a pattern in the answers. Which needs bring up other brands? Which pages get linked?

Write a small, clear idea to test. For example: “Our service page does not say which areas we cover. We will add the real locations and check these local questions again.” This is a hypothesis, not proof that the change will improve AI results.

Make the important pages useful

Start with pages that answer a real customer question. Explain what you offer, who it suits, and any limits. Use current facts. Where it helps, add evidence from work you actually did. Check who wrote the page and whether a reader can verify its claims.

Google’s content guidance focuses on helping people, not filling pages with search phrases. Publishing many near-identical answers or adding claims you cannot support is not a sound shortcut. Improve what a person can learn from the page.

Read the source: Google: creating helpful, reliable, people-first content

Check access, then look beyond your site

For Google’s AI features, a page must meet the normal Search requirements to be eligible as a supporting link. Google says no special AI file or extra markup is needed. Meeting the requirements still does not guarantee inclusion.

Read the source: Google: AI features and your website

Choose changes you can stand behind

If an answer links to a directory or review site, check whether your listing there is accurate. Correct wrong facts through the site’s normal process. Share useful knowledge where it is welcome. Do not buy fake reviews or flood communities with brand mentions.

A cited site is a clue to inspect, not a guaranteed route into an answer. You may not control it, and the next answer may cite something else. Start with a few changes you can explain and maintain, rather than chasing every linked domain.

Example: a local business is missing from answers

In this invented case, you run a window-cleaning business in Leeds. You check questions about window cleaners in Leeds. The answers name other firms, but not yours. That is a reason to look closer, not proof that your site is broken.

You open your service page. It says “We clean windows” but does not say which areas you cover. Even a customer cannot tell whether you serve their street. This is one clear thing you can improve.

Add the areas you really serve and explain the service clearly. Save the date of the change and the original AI answers. Then check the same questions again. You now have a specific change to review, rather than a vague goal to “do more GEO.”

Compare like with like

Your first set of results is a starting point, often called a baseline. Keep it so you can compare later. If you add questions, switch services, or change the group of tracked brands, note that the next score covers a different set.

One better answer does not prove that your edit worked. Look for a pattern across repeated checks. AI systems can change too. Keep your raw answers so you can inspect a shift rather than relying only on a percentage.

Choose when to review the work before you start. Don’t keep rerunning a question until you get a good answer. Save the bad results too. That gives you a fairer record of what changed and stops a lucky answer from becoming your whole story.

Measure visits and business results separately

Use website analytics to study recorded visits and goals such as orders or enquiries. Search Console can help you inspect how Google Search sees your site and how search traffic changes. These tools answer different questions from a brand-mention report.

Read the source: Google: getting started with Search Console

Know what you can say with confidence

A useful first conclusion is specific: “Our brand appeared in four of these ten answers.” It is not “AI knows our brand” or “we own 40% of the market.” Small, honest conclusions are easier to act on and easier to check again.