In the digital age, companies face the challenge of achieving visibility and reach – and that in an increasingly AI-driven environment. In 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 AI-Powered SEO Platform

Mathias’s path is anything but conventional. Instead of years of marketing experience, he brings a technical background in software engineering and over eight years of experience as Head of Sales in the automotive sector.

👉 His motivation: To make a niche product that was hardly visible in search engines visible.

The first attempts led to a Minimum Viable Product (MVP) that automatically analyzed, audited, and rated websites using scorecards. This side project quickly evolved into much more – the birth of Rankscale AI.

Why SEO and AI are Becoming Essential for B2B Companies

In the interview, Mathias emphasizes that the relevance of SEO and AI in the B2B space is growing. Traditional methods like cold outreach are reaching their limits – while inbound strategies through AI-driven search systems create new opportunities.

• Shorter Sales Funnels: AI answers complex questions directly, eliminating long research phases.

• Higher Conversion Rates: Users coming through AI search systems often already have buying intent.

• New Lead Quality: Instead of mere clicks, genuine business opportunities are created.

Rankscale AI: The USPs at a Glance

Rankscale differs from traditional SEO tools like Ahrefs or SEMrush through a special depth of data analysis.

1. Bottom-up Analysis

Instead of just providing aggregated reports, Rankscale allows for a granular examination of individual queries.

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

• Custom 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 – 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 strong as the data depth of Rankscale AI is, the user interface can be challenging. Mathias himself emphasizes that improvements are planned. Nevertheless, he sees the advantage: A “pro tool” requires onboarding but delivers high-quality insights that agencies and companies can use immediately.

Future Features & Developments

Mathias also provided a glimpse into planned expansions during the conversation:

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

• Industry-specific query analyses: 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 demonstrates that not only large, multimillion-dollar funded companies can dominate the SEO and AI market. With lean structures, fast product development, and a clear focus on data depth, Mathias and his team successfully position themselves against the industry’s “big tankers.”

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

P.S. I would love to analyze your company in a non-binding strategy session and provide you with 3 specific quick wins that you can apply directly: