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PLAIN-ENGLISH GUIDE

What Is AI Search, and How Is It Different From Googling? A Simple Explainer

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Key Takeaways

  • Picture one answer, not ten choices. AI search returns a written response with a few names in it, rather than a page of links for you to work through yourself.
  • Assume you are being summarized, not ranked. The question is no longer which position you hold. It is whether your business appears in a sentence somebody else wrote about your niche.
  • Write the facts down in plain words. An assistant can only repeat what it can read. Who you help, where, and what happened for them has to exist as text on a page.
  • Check both surfaces separately. Doing well in normal search results does not tell you what an assistant says about you, and the two often disagree.
  • Start by asking the questions your buyers ask. Twenty-five real buyer questions, typed into ChatGPT as a buyer would type them, will tell you more than any theory about how the systems work.

Somebody asked ChatGPT for a coach in your city last week. It did not show them a page of links. It wrote them a short answer with three names in it, and they contacted one.

That is AI search, and the reason it is worth understanding is not the technology. It is that the shortlist now gets made before your website is ever opened.

This is the plain-English version: what the term means, what genuinely changes, where the answers come from, and what a coach or consultant should actually do about it.

What is AI search?

AI search is asking a question in normal language and getting a written answer back instead of a list of links. ChatGPT, Perplexity, Claude, Microsoft Copilot and the summary block at the top of Google all do this.

The term covers a behavior, not a product. Somebody types "who is a good leadership coach for a first-time nonprofit CEO in Denver" as a full sentence, the way they would ask a friend, and a paragraph comes back naming a few options.

That is the whole definition, and we will not use the phrase much after this section. What matters to your business is not the label. It is that the answer is written by something that read the internet on your buyer's behalf.

What actually changes between a list and an answer

The reading moves from your buyer to the machine. On a results page, your buyer opens tabs, compares, and builds their own shortlist. In a written answer, that comparison already happened and they see the conclusion.

Nothing in the job disappeared. Every step still happens, and four of the five now happen somewhere you cannot see.

THE SAME FIVE STEPS, DIFFERENT HANDSWHO DOES THE WORK
  1. Phrase the question
    On a results page You, in keywords In a written answer You, in a full sentence
  2. Gather candidate sources
    On a results page You, by scanning the page In a written answer The assistant, before you see anything
  3. Read the sources
    On a results page You, one tab at a time In a written answer The assistant, all at once
  4. Compare and shortlist
    On a results page You, from memory In a written answer The assistant, in one paragraph
  5. Decide who to contact
    On a results page You In a written answer You, from a shorter list

The three lit rungs are the steps that changed hands. Your buyer still phrases the question and still decides who to contact. Everything between those two things now happens before they open a single page, which is why a business can be busy, well reviewed and completely absent from the answer.

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The work did not vanish. It moved to a place where the only thing representing you is what somebody can read about you.

This is why the old question stops being useful. "Where do I rank" assumes a list with positions in it. There is no list, so the question becomes whether you are named at all, and in how many of the answers your buyers are likely to see.

Where the answer comes from

From two places: what the model absorbed during training, and what it fetches while you wait. Most tools now use both, and the mix explains most of the strange behavior people notice.

The training part is a snapshot of a lot of public text, taken at a fixed point in time. OpenAI's own explanation of what ChatGPT is describes a system trained on a large body of text, which is why it can sound confident about a business that closed last year.

The fetching part is newer and matters more to you. Perplexity's help center describes answers assembled from sources retrieved at the moment you ask, and Google Search Central's guidance on its AI features says the same thing in its own words: pages that can be found and read are the raw material. A page nobody can read cannot be quoted.

Two consequences follow. The same question can come back differently twice, because the fetched sources differ. And a new page can influence answers within weeks, without waiting for anything to be retrained.

What it means for a coaching or consulting business

It means being findable is no longer enough. You have to be describable, because something is writing a sentence about your niche and deciding whether your name belongs in it.

The two surfaces, side by side
What is different A normal results page A written AI answer
What you get back Ten links and some ads A paragraph, often with two to four names
How you win A high position for a phrase Being named at all, in more answers than not
What the buyer types Two or three keywords A full sentence about their situation
Who does the comparing The buyer, across open tabs The tool, before the buyer sees anything
Where your name has to appear On your own site, mainly On your site and on sites the tool already reads
How stable the result is Fairly steady week to week Varies between runs of the same question
How you measure it Position tracking Counting mentions across repeated questions

The last row is the one people underestimate. Because the answers move, a single reading proves very little, and the only honest measurement is a count across many questions asked more than once. That method is written out in how to check if AI recommends you.

The practice of writing pages so they can be quoted has a name, which we define once and then drop, in what is answer engine optimization. The related question of what the summary block on Google actually is sits in what is an AI overview on Google.

What to do about it this month

Find out what the tools currently say about you, then write down the facts they are missing. Those two steps cover most of what any coach or consultant needs to do in the first month, and neither requires software.

For the first step, write 25 questions a real buyer would type, ask each one three times, and record who gets named. It takes an afternoon. For the second, look at your own site and ask whether a stranger could state who you help, where you work, and what happened for three past clients, using only sentences that are already written there.

Most sites fail that second test, and the fix is unglamorous: write the missing sentences. The broader shift in how buyers behave, and why this is worth doing now rather than next year, is argued in why just google it is disappearing.

If you would rather have the first step done for you, the free check runs 25 real buyer questions from your niche through ChatGPT at $0 and emails a plain-English readout within the hour. It runs as soon as you ask for it.

Questions we hear the most

What is AI search?

AI search is when you ask a question in normal language and a tool writes you an answer instead of listing links. ChatGPT, Perplexity, Claude, Copilot and the summary at the top of Google all work this way.

How is AI search different from googling?

Googling hands you a page of links and you do the reading. AI search does the reading first and hands you a short written answer with a few names in it. The work moved, it did not disappear.

Does AI search replace Google?

Not yet, and probably not entirely. Most buyers now use both, often in the same afternoon, so the practical answer is that you have two surfaces to be visible on rather than one.

Does ranking on Google mean I show up in AI search?

No. They are separate results built in different ways, and plenty of businesses that rank well are missing from written answers. That gap is common enough to be the first thing worth measuring.

How do I find out if ChatGPT recommends me?

Ask it the questions your buyers ask, several times each, and write down who gets named. Twenty-five questions run by hand across an afternoon gives you a usable picture for nothing but your time.

What does the free 25-question check include?

It asks ChatGPT 25 real buyer questions from your niche at $0, then emails a plain-English readout within the hour: how often you were named, who was named instead, and the first thing to fix. It runs as soon as you ask for it.

Do I need to change my website for AI search?

Usually you need to add to it rather than change it. Most sites are missing plain sentences stating who the business helps, where it works, and what happened for past clients.

Is there a way to pay to appear in AI answers?

Not in the written answers themselves today. The names in them come from what these tools can read about you, which is why the work is publishing evidence rather than buying placement.

SEE WHERE YOU STAND

Your buyers are already asking. Find out what AI tells them.

The free check asks ChatGPT 25 real buyer questions about your niche and sends you the report within the hour, at $0. If it shows you are already getting named everywhere, we will say so in plain words.

Get my free check →