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 GrowCast podcast, 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 an AI-powered SEO Platform

Mathias’ career path is anything but conventional. 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 industry.

👉 His motivation: to bring visibility to a niche product that was barely discoverable on search engines.

The initial steps led to a Minimum Viable Product (MVP) that automatically analyzed, audited, and rated websites with scorecards. This side project quickly grew into something more – marking 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 hitting their limits – while inbound strategies via AI-driven search engines are opening 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 an intent to buy.

• New Quality of Leads: Instead of mere clicks, actual business opportunities are generated.

Rankscale AI: The USPs at a Glance

Rankscale distinguishes itself from traditional HTML SEO tools like Ahrefs or SEMrush through an exceptional depth of data analysis.

1. Bottom-up Analysis

Instead of delivering only 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 whether they want to analyze their visibility in ChatGPT, Perplexity, or other AI engines – and even do so 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

While the data depth of Rankscale AI is strong, the user interface can seem challenging. Mathias himself notes that improvements are planned here. Nevertheless, he sees the advantage: A "pro tool" requires training, but in return, it delivers high-quality insights that agencies and companies can put to immediate use.

Future Features & Developments

During the conversation, Mathias also provided an outlook on planned physical extensions:

• Actionable Recommendations: Automated, actionable tips based on the data.

• Industry-specific Query Analyses: Which search queries are actually relevant in a specific industry?

• Enhanced Audit Functions: Even more detailed website analyses for companies and agencies.

Conclusion: David vs. Goliath in the SEO Market

Rankscale AI demonstrates that the SEO and AI market is not dominated solely by large, million-dollar-funded companies. With lean structures, rapid product development, and a clear focus on data depth, Mathias and his team are successfully positioning themselves against the "large tankers" of the industry.

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

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