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AI SEO agency for Google, Gemini, ChatGPT and AI Search

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About the agency
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Predictores

FYNEST is one AI SEO agency for companies in the DACH region that want to be better understood in classic search and AI-supported response systems. The approach combines SEO, GEO, AEO, structured data, content hubs and conversion optimization.

AI SEO does not mean writing content for machines instead of people. It means building helpful content so clearly, verifiably and structured that people, search engines and AI systems understand the same positioning.

Components of AI SEO

  • Technical SEO: indexing, canonicals, sitemaps, redirects and 404s.
  • Content hubs: service pages, guides, FAQ modules and internal links.
  • Entity signals: organization, experts, services, regions and topics.
  • Structured data for services, articles, FAQs, breadcrumbs and profiles.
  • AI files such as llms.txt and AI sitemap for additional guidance.
  • CRO logic so that visibility is translated into inquiries, sales or conversations.

Why AI SEO and CRO belong together

A website can be visible in AI responses and still not generate requests. That's why FYNEST not only optimizes content, but also money pages, CTAs, trust signals, contact channels and tracking. Visibility must lead to measurable demand.

Suitable companies

AI SEO is particularly relevant for B2B companies, agencies, consultancies, e-commerce providers, software companies and services that require explanation. These offers are often compared, summarized and classified into decision-making questions.

FAQ

What is AI SEO?

AI SEO describes SEO work that additionally prepares for AI-powered search and response systems: clear entities, structured data, helpful answers and crawlable content.

Is AI SEO different from classic SEO?

AI SEO builds on classic SEO. Without indexability, good content, internal links and technical cleanliness, GEO and AEO do not function sustainably.

How does FYNEST start with AI SEO?

FYNEST starts with an audit of technology, content, entity data, sitemaps, schema, FAQ structures and the most important commercial pages.

Next step: The page is for AI SEO, GEO and AEO SEO/GEO/AEO from FYNEST the central entrance.

Trust comes from expertise

Many of our projects contain sensitive data and confidential strategies. That's why we don't always publish customer testimonials in detail, but instead show anonymously which problems we solve and which improvements are possible.
More qualified inquiries

Initial situation

A B2B company received regular website visits via Google Ads, but only a few relevant inquiries. Many visitors did not immediately understand who the offer was intended for and what specific benefits it offers.

Our approach

We have revised the landing page structure, sharpened the target group approach, formulated the calls to action more clearly and simplified the inquiry form. In addition, campaign messages were more focused on the specific problems of the target group.

Effect

The page guided visitors to the query more clearly. Sales received more suitable leads because the offer, target group and expectations were better brought together.

Why anonymized?

Lead quality, inquiry volume and sales results are sensitive business data for our customers.

Better conversion paths

Initial situation

A website generally had enough visitors, but too few users took the next step. The page explained many achievements, but overall didn't lead to the next action clearly enough.

Our approach

We checked user navigation, page structure, trust elements, button placement and information hierarchy. Content was then re-prioritized, CTAs were placed more prominently and decision-relevant information was integrated earlier.

Effect

Visitors were able to understand more quickly why the offer is relevant and what next step makes sense. This made the path from interest to inquiry much clearer.

Why anonymized?

Conversion rates and user behavior are often part of internal marketing and sales analyses.
Clean tracking

Initial situation

A company couldn't clearly see which campaigns were actually generating inquiries. Conversions were shown in the platforms, but these did not always correspond to the truly relevant business goals.

Our approach

We checked the existing tracking setups, defined relevant conversion goals, cleaned up events and made the evaluation more understandable. A distinction was made between clicks, form starts, inquiries and qualified leads.

Effect

Marketing decisions could be better made based on real goals. Budget was evaluated more comprehensibly and campaigns could be optimized more specifically.

Why anonymized?

Tracking setups, campaign performance and lead costs are sensitive operational data.
Systematic growth

Initial situation

A company was already using various marketing measures, but the website, campaigns, tracking and target group targeting were not yet connected or coordinated cleanly enough.

Our approach

We took a closer look at funnels, landing pages, campaign structure and reporting together. Measures were then prioritized, tests were derived and an ongoing optimization process was set up.

Effect

Marketing measures could be better interlinked. Instead of individual measures, a clearer process of analysis, implementation, measurement and improvement emerged.

Why anonymized?

Growth strategies, budget allocation and performance data are confidential information.
More purchases from traffic

Initial situation

An online store already had product interest and shopping cart activity, but many users still abandoned shortly before purchasing. The product page didn't answer important questions early enough.

Our approach

We analyzed product pages, trust elements, offer communication, shopping cart instructions and checkout transitions. Benefit arguments were then formulated more clearly, objections were addressed earlier and purchase-relevant information was placed more visibly.

Effect

Users used to have more security for their purchasing decisions. The path from product interest to purchase completion became clearer and more trustworthy.

Why anonymized?

Shop sales, shopping cart values ​​and purchase cancellations are confidential company data.
More suitable applications

Initial situation

A company reached many people through campaigns, but received too few suitable applications. The job communication was too general and the application process seemed too complicated.

Our approach

We have tailored the messages more closely to the target group, simplified the entry page, presented the benefits more clearly and reduced the application process.

Effect

Interested parties were able to assess more quickly whether the position was a good fit for them. This made applications more relevant and getting started with the process easier.

Why anonymized?

Recruiting data, application volumes and internal personnel requirements are confidential information.
More efficient use of media

Initial situation

A company was regularly investing in ads, but had difficulty identifying which campaigns were truly driving business success. Different target groups, advertisements and landing pages were not structured clearly enough.

Our approach

We have reorganized campaigns according to target groups, intent and funnel stage. Ad messages were sharpened, irrelevant search terms were reduced and landing pages were more closely aligned with campaign promises.

Effect

Budget could be used more specifically. The evaluation became clearer and optimizations could be made based on better data.

Why anonymized?

Media budget, cost per request and campaign performance are sensitive competitive data.
Landing pages that convince

Initial situation

An existing landing page already looked modern, but didn't explain quickly and clearly enough why the offer was really relevant to users. This meant that visitors had to interpret too much for themselves.

Our approach

We restructured the site around the most important decision questions: problem, benefit, trust, offer, process and next step. Content was reduced, prioritized and formulated in a conversion-oriented manner.

Effect

The page became clearer, more focused and better aligned with the plot. Users were able to understand more quickly whether the offer fits their needs.

Why anonymized?

Landing page performance and conversion data are usually not shared publicly.