How can my company get featured in ChatGPT and Google AI responses?

The question we're being asked most often right now

"People can find us on Google, but when I ask ChatGPT about providers in our industry, we don't show up. What are we doing wrong?"

A year ago, this question hardly ever came up. Now, it comes up in almost every initial consultation. The reason is simple: An increasing number of searches no longer end with a list of results, but with a ready-made answer. If you don’t appear there, you don’t exist for that person—no matter where you rank on Google.

The good news is that the mechanics behind it are less mysterious than they seem. And a large part of what helps is simply doing a good job.

How these systems arrive at their answers in the first place

There are two ways a company can end up with an AI-generated response, and they work in completely different ways.

The first method is live search. Most systems with up-to-date knowledge—such as ChatGPT with its search function, Perplexity, and Google with its AI summaries—look up the answer the moment a question is asked. They retrieve a handful of sources, read them, and formulate a response based on that information. The rule here is: If you’re not in the search results, you can’t be cited. So traditional SEO hasn’t been replaced—it’s a prerequisite.

The second approach is training knowledge. What a model generally “knows” comes from texts that were read during training. You don’t get there through your own website, but rather through what others write about you: trade publications, industry directories, interviews, and forums.

For most small and medium-sized businesses, the first approach is the most realistic. The second will take years, not weeks.

First, check to see if you're even allowed to read this

The most common avoidable mistake lies in a file that most people have never looked at: the robots.txt.

Many agencies and Hosting-Over the past two years, providers have reflexively blocked access by AI systems, partly out of concern about content and partly because it was recommended somewhere. This affects entries such as GPTBot, ClaudeBot, PerplexityBot, Google Extended or CCBot.

Anyone who blocks these cannot be found in the corresponding search results. This is a legitimate decision for a publisher that sells its content. For a company that wants to be found, however, it’s an own goal.

Call eurefirma.de/robots.txt in the browser. If there is a Disallow: / If it's listed under one of these names, you'll know why.

What these systems look for in a text

A language model that constructs a response needs sentences it can use. This changes the type of text that is useful.

• Verifiable facts instead of adjectives. “We are reliable” is not quotable. “We take on projects starting at 5,000 euros and usually deliver within eight weeks” is.

• Answers appear directly below the question. If a subheading poses a genuine question and the first two or three sentences below it fully answer it, that paragraph can be separated out. That's exactly what happens.

• Clear terminology. A company that calls itself a “digital agency” one moment, a “studio” the next, and a “creative partner” the next makes it difficult to form a clear picture of what it is. Consistency beats variety.

• A unique perspective rather than platitudes. Texts that could appear anywhere are never cited anywhere. A clear point of view—even an uncomfortable one—is a reason to single you out of all people.

Structured Data: The Underrated Aspect

Structured data is machine-readable additional information embedded in a page's source code. It explicitly tells a machine what it would otherwise have to figure out on its own: that you are a company with this address and phone number, that this page describes a service at this price, and that this section consists of a question and its answer.

For traditional search engines, this has offered display advantages for years. For AI systems, it is valuable for a different reason: it reduces ambiguity. A system that needs to distinguish between two companies with similar names is more likely to choose the one whose information is clearly labeled.

In practical terms, this means: one section for the company itself, one for each service, and one for frequently asked questions. This is a one-time effort, followed by ongoing maintenance.

What happens outside your website matters more than you might think

Here's the tricky part. When a system is asked who offers a specific service in a region, it rarely relies solely on provider websites. It consults business directories, review sites, comparison articles, and the local press.

This leads to a task that has nothing to do with web design:

• Find out where your industry is listed—associations, guilds, and trade directories.

• A complete Google business profile with real reviews.

• The same information appears everywhere. The company name, address, and phone number must be identical—not just roughly the same. Discrepancies raise doubts, and doubts lead to someone else being named.

How to Tell If Something Is Happening

There are no rankings for these systems, nor is there a tool that shows you your position. What works is unspectacular: Identify five to ten questions your customers would actually ask. Post them once a month on two or three platforms and note whether you’re mentioned and in what context.

This isn't an exact measurement; the results vary. But over the course of several months, you'll see a trend, and that's enough to decide whether it's worth the effort.

It's also worth taking a look at the server statistics: You'll see there, in black and white, whether AI bots are accessing your site at all.

What We Consider Exaggerated

An entire consulting industry has sprung up around this topic, and part of it thrives on creating uncertainty.

We don't think much of rewriting texts for machines until they sound strange to humans. We also don't think much of promises to "put a company in ChatGPT"—there's no switch for that, and anyone who claims otherwise is selling you chance as a service.

What actually works is the mundane checklist: be discoverable, allow access, write clearly and verifiably, use clean markup, and appear outside your own site. This is the same work that makes for a good website; it just pays off in two ways now.

Conclusion

AI search isn't a second channel for which you have to start from scratch. It's a second analysis of the same content. If you clearly state what you do and for whom, back it up with data, and tag it in a machine-readable format, you'll be found in both worlds.

On the other hand, anyone who works with adjectives has a hard time even on Google, and stands no chance in a summary answer because there's nothing to quote.

Related topics: Local SEO—the key to regional visibility , and SEO basics that are most often overlooked when building a website · Service: SEO at a fixed price

Do you want to know how your site is doing?

We’ll take a look at whether AI systems can read your site, what they find there, and where the gaps are. Send us a quick message via the contact form to let us know what you’re planning. We’ll respond within 24 hours—personally and without any sales pitch.