Is Your Search Strategy Ready for the AI Era?

From SEO to GEO

In the latest episode of Entrepreneurial Realities, the podcast of TUM Venture Labs, SCAILE CEO Simon Wilhelm sits down to discuss the shift from traditional Search Engine Optimization (SEO) to Generative Engine Optimization (GEO).

Relying on online visibility is no longer just about appealing to a classic search algorithm. It is about structuring your data so that your business is recognised, understood, and cited by Large Language Models and the generative AI platforms now reshaping search. For a decade, the playbook was straightforward: write a page, optimise the meta tags, build some backlinks, and wait three to six months for Google to reward you with traffic. That playbook still works for parts of the funnel, but it solves a problem that is no longer the only problem worth solving.

Today, a meaningful share of buyer questions never make it to a results page. They are answered directly by ChatGPT, Perplexity, Claude, Gemini, or Google's AI Overviews. The user reads one synthesised response and acts on it. If your brand is not in that response, you do not get the click. You do not even get the chance to compete.

What Generative Engine Optimization Actually Means

GEO is the discipline of making sure your brand, your products, and your point of view show up in those synthesised answers. It is not a tweak to your existing SEO; it is a parallel competency that demands its own thinking, its own tooling, and its own measurement.

A GEO programme cares about three things at the same time:

• Coverage: across which buyer prompts and which LLMs does your brand get mentioned at all?
• Position: when it does get mentioned, where in the answer does it land, and how often does it lead?
• Accuracy: does the AI represent you correctly, or does it carry forward outdated, partial, or competitor-shaped framing?

Traditional SEO answered a single question: where do you rank for a query. GEO answers a three-part question: does AI know about you, does AI prefer you, and does AI describe you the way you want to be described. Each requires its own diagnostic.

Who This Shift Touches

This is not a question for one segment of the market. It applies across the board:

• Early-stage startups trying to be found by their first customers. They have no brand equity, no domain authority, and now also no easy path through Google. AI assistants are sometimes the only discovery surface that gives a new entrant a fair shot, because LLMs reason from content, not from inbound link history.
• Fast-growing scale-ups protecting and expanding their share of voice. They have product-market fit and traffic, but their existing SEO investments do not automatically translate into AI citations. Without active work, they watch competitors get named when their own brand is the better answer.
• Established incumbents whose traffic depended on rankings that no longer exist the same way. Many large companies are seeing AI Overviews eat into commercial query click-through rates. The downstream impact on pipeline is real and measurable, and the response window is short.

In each case, the underlying observation is the same: the discovery layer changed, and the content stack has not yet caught up.

Why It Matters

In the conversation, Simon explains why ranking today requires a different mental model. Being on page one is no longer the goal. The goal is being the definitive answer that an AI synthesises for the user, with your brand correctly cited and credited.

A few specific shifts to internalise:

1. Answers replace clicks. When ChatGPT recommends three vendors in your category, the user often acts on those three names without ever visiting a website. The funnel collapses into the answer.
2. Citation beats ranking. A brand mentioned once in a high-confidence AI response outperforms a brand ranking on page two of Google for the same query. Citations carry the weight of authority assigned by the LLM, not by an algorithm scoring backlinks.
3. Structured beats stylish. AI models reward content that is easy to extract, fact-check, and quote. Tables, definitions, FAQs, and clearly labelled comparisons get cited far more often than long flowing prose, even when the prose is better written.
4. Speed of measurement changes the loop. Where SEO took quarters to validate, AEO results show up in days. That changes how content teams plan, ship, and iterate.

SCAILE is part of a select group of startups at the TUM Venture Lab for Software and Artificial Intelligence, working on exactly this problem. The Lab brings together academic depth from one of Europe's leading technical universities with the operational urgency of teams shipping products in market. That combination is what is needed to move past surface-level "AI for SEO" tooling and toward something that actually compounds.

The Three Layers: SEO, AEO, GEO

The terminology is new and the categories overlap, so it helps to be precise about what each one covers.

• SEO (Search Engine Optimization) is the discipline of ranking pages in classic search results. It still matters because LLMs use search indexes as one of their primary information sources. If you are invisible to Google, you are largely invisible to ChatGPT too.
• AEO (Answer Engine Optimization) is the practice of making your content the snippet the LLM quotes. AEO is tactical: it lives in the structure of your pages, the way you write headings, the presence of FAQs, the use of structured data.
• GEO (Generative Engine Optimization) is broader: it is the company-wide competency that lines up marketing, sales, customer success, and product around a coherent message so AI search represents your brand the same way everywhere. GEO is strategic.

A useful way to think about it: SEO gets you into the room, AEO gets you on the page, GEO makes sure the room and the page are saying the same thing.

What Founders Should Do First

The conversation makes clear that this is not a project for a single quarter. It is an operating change. The first ninety days for most companies look something like this:

1. Audit your AI visibility today. Before you change anything, measure where you stand. Which buyer prompts surface your brand? Which mention competitors instead? Which describe you inaccurately? Without a baseline, every later decision is a guess.
2. Fix your structured data. Schema markup, FAQ blocks, comparison tables, and a clean sitemap are the foundation. They are not optional. AI assistants disproportionately reward content that is easy to parse.
3. Publish answers, not articles. Stop writing the next post in a content calendar. Start writing the page that answers a specific buyer question better than anyone else in your category. One great answer beats ten generic posts.
4. Measure weekly, not quarterly. Track your appearance in ChatGPT, Perplexity, Claude, and Gemini for the prompts you care about. Watch them move. AEO loops fast enough that a weekly cadence is realistic.

The ninety-day mark is when most teams have enough data to either commit to a serious investment or step back and rethink. There is no universal right answer, but there is a universal wrong answer: doing nothing and assuming traffic will hold.

Common Mistakes Companies Make

A few patterns Simon flagged in the conversation:

• Treating GEO as a content-marketing problem. It is not. It is a cross-functional problem that touches product positioning, sales enablement, and customer success messaging.
• Buying tools before defining the metric. There are many "AI visibility" dashboards on the market. Most of them produce numbers without answering the question that matters: is your brand being recommended more often by AI for the prompts that drive your pipeline?
• Hiring an agency on a long retainer. Traditional SEO agencies are built around a cadence that no longer fits. AEO results show up in days; a six-month retainer with quarterly reviews is the wrong shape for the work.
• Ignoring the human signal. LLMs reward content with a distinctive voice and a verifiable author. Anonymous, AI-generated, lookalike content gets filtered out fast. Investing in the people who write the content is investing in the moat.

The TUM Venture Lab Connection

The TUM Venture Lab for Software and Artificial Intelligence is one of the most active deep-tech incubators in Europe. Being part of the Lab gives SCAILE direct access to AI research, technical infrastructure, and a network of founders and operators thinking about the same problems. The Lab's Entrepreneurial Realities podcast is part of how the wider ecosystem stays current, and Simon's episode is a clear walkthrough of why AI search is the next strategic shift for any company that depends on inbound discovery.

If you build, sell, or market a product, this is one of the most important hours of content you can spend right now.

Frequently Asked Questions

What is the difference between SEO and GEO?

SEO is about ranking in search engine results. GEO is about being the brand AI assistants recommend when they answer a user's question. SEO targets a results page, GEO targets a synthesised answer. The two complement each other; neither replaces the other.

Is traditional SEO still worth doing?

Yes. Good SEO is still the foundation. AI assistants rely on search indexes as a primary source, and pages that rank well in Google generally also surface in AI answers. The point is that SEO alone is no longer enough. You need a layer on top.

How fast do AEO results show up?

Days, sometimes hours. Where traditional SEO took three to six months to validate, AEO loops in six to fourteen days for most prompts. That changes how content teams plan and ship.

Which AI assistants matter most?

It depends on your audience. ChatGPT has the broadest reach. Perplexity skews toward research-oriented users. Claude is strong in technical and B2B contexts. Gemini and Google AI Overviews matter wherever Google still owns the discovery journey. Track them all; weight your investment by where your buyers are.

Can I do this in-house or do I need a partner?

It can be done in-house if you have a content team that is willing to learn a new measurement loop. Most companies do not, which is why a partner with the tooling and the playbook accelerates the work meaningfully. SCAILE is one such partner.

Listen to the Full Episode

• Spotify: open.spotify.com/episode/3NOZXgu5tGoYqTkzNEUQqp
• Apple Podcasts: podcasts.apple.com/us/podcast/entrepreneurial-realities