In the digital age, companies face the challenge of achieving visibility and reach – and doing so in an environment increasingly shaped by Artificial Intelligence. In a conversation with Edin from the podcast GrowCast, Mathias, founder of rankscale.ai, shares how he took the leap from corporate sales to develop a SaaS tool that opens up new opportunities for companies in the field of SEO and AI.

From Corporate Sales to AI-Powered SEO Platform

Mathias' career path is anything but traditional. Instead of years of marketing experience, he brings a technical education in software engineering and over eight years of experience as Head of Sales in the automotive sector.

👉 His motivation: Making a niche product visible that was barely findable on search engines.

The first steps led to a Minimum Viable Product (MVP) that automatically analyzed, audited, and evaluated websites with scorecards. This side project quickly became more – the birth of Rankscale AI.

Why SEO and AI Are Becoming Indispensable for B2B Companies

In the interview, Mathias emphasizes that the relevance of SEO and AI in the B2B sector is growing. Traditional methods like cold outreach are reaching their limits – while inbound strategies via AI-driven search engines open up new opportunities.

• Shorter sales funnels: AI directly answers complex questions, eliminating long research phases.

• Higher conversion rates: Users coming through AI search engines often already have purchasing intent.

• New lead quality: Instead of mere clicks, real business opportunities are created.

Rankscale AI: The USPs at a Glance

Rankscale differs from traditional SEO tools like Ahrefs or SEMrush due to its exceptional depth of data analysis.

1. Bottom-up analysis

Instead of only providing aggregated reports, Rankscale allows for a granular view of individual queries.

• All metrics can be analyzed down to the query level.

• Individual filter and dashboard combinations for specific business cases.

2. Flexible engine queries

Users can choose themselves whether they want to analyze their visibility in ChatGPT, Perplexity, or other AI engines – and even at hourly intervals.

3. Brand Reputation & Sentiment Analysis

The tool shows whether a brand is perceived positively, neutrally, or negatively in AI engines – a game-changer for PR and brand management.

The Challenges: UI & Complexity

As powerful as the data depth of Rankscale AI is, the user interface can seem challenging. Mathias himself emphasizes that improvements are planned here. Nevertheless, he sees the advantage: A "pro tool" requires training but, in return, delivers high-quality insights that agencies and companies can use immediately.

Future Features & Developments

During the conversation, Mathias also gave an outlook on planned updates:

• Actionable recommendations: Automated, practical tips based on the data.

• Industry-specific query analysis: Which search queries are truly relevant in an industry?

• Improved audit functions: Even more detailed website analyses for companies and agencies.

Conclusion: David vs. Goliath in the SEO Market

Rankscale AI shows that it is not only large, million-dollar-funded companies that can dominate the SEO and AI market. With lean structures, fast product development, and a clear focus on data depth, Mathias and his team are successfully positioning themselves against the "big tankers" of the industry.

For B2B companies looking to modernize their inbound strategies and build AI-powered visibility, Rankscale AI could become a real game-changer.

P.S. I would be happy to analyze your company in a non-binding strategy session and give you 3 concrete quick wins that you can apply directly: