Berlin Startup Raises Millions to Help Brands Show Up in AI Search Answers

A Berlin-based technology company called Peec AI has raised €7 million to build tools that help brands appear in answers generated by artificial intelligence. The startup, founded by Marius Meiners, is working on what it calls Generative Engine Optimization — a new way of thinking about how companies get noticed when people ask questions to AI tools like ChatGPT or Google's AI Overviews.

What's Changing in Search

For the past 20 years, companies have spent enormous effort on something called search engine optimization, or SEO. The idea was simple: get your website to rank high when someone searches on Google. Marketing teams wrote articles with the right keywords, built links to their sites, and watched traffic numbers to see if it worked.

Now that's shifting. When people ask questions to AI tools, they don't get a list of blue links to websites. Instead, the AI reads information from many different sources and writes out an answer in its own words. A company's website might be the source of that answer, but the user never sees the link or knows where the information came from.

Peec AI's tools are meant to help marketing teams figure out: does our content appear in these AI answers? How often? What does the AI say about our brand? These are questions companies have never needed to ask before.

Why This Matters Now

The problem is, nobody fully understands how these AI systems decide what information to include in an answer. With traditional Google search, there are clear rules — keywords matter, links matter, how fast your page loads matters. Marketing teams could optimize for these things and see results.

AI systems work differently. They're trained on millions of documents and learn patterns from all that text. When you ask them a question, they're essentially making educated guesses about what the next words should be, based on everything they've learned. It's much harder to know what influences that process, let alone how to steer it.

This kind of challenge has happened before in the industry. Fifteen or twenty years ago, when Google started ranking mobile-friendly websites higher, SEO teams had to learn new tactics. Now they're facing the same kind of shift again — the main way people find information is changing, and the old playbook doesn't work.

Google, Microsoft Bing, and other companies are rolling out AI-powered search tools. Marketing teams with money allocated for traditional SEO are now wondering: where does our budget go when the landscape changes? That pressure is creating demand for tools like Peec AI's.

The Broader Context

Berlin has become home to a growing number of AI companies in Europe. The city offers access to skilled engineers and sits between American technology innovation and European privacy rules — a useful position for companies building products worldwide.

Investors are still backing AI companies with clear business models, and marketing technology is a proven market. Unlike some experimental AI projects, this one solves a real problem that marketing teams are already spending money to address. Companies that buy traditional SEO tools might switch to or add GEO tools as the search landscape changes.

Real Challenges Ahead

The strategy behind GEO is sound, but execution will be difficult. AI systems change constantly. A technique that works for one version of ChatGPT might stop working when a new version comes out. It's like trying to hit a moving target.

Another issue: when an AI generates an answer, you rarely get clear information about where it pulled information from. This makes it hard for marketing teams to know if their content actually influenced the result. They'd have to guess based on patterns and indirect clues.

The market is starting to fill with competitors — both traditional SEO companies adding AI features and new startups building from scratch. The companies that move fastest, have the best data, and can show clear results will likely win.

With €7 million in funding, Peec AI has resources to build its product, test its ideas in the real world, and establish itself before bigger companies fully enter the market. For marketing teams watching the shift from traditional search to AI-powered answers, the question has already changed from "Should we think about this?" to "How soon do we need to act?"