Inside Attensira's Revolution: The Science of Making Businesses Visible to AI Engines

As AI chatbots like ChatGPT and Perplexity increasingly become the way people discover products and services, one question is emerging for businesses: how do you get cited—not just clicked? Karl-Gustav Kallasmaa, the solo founder of Attensira, has built a company around answering that question. Having worked with over 50 brands, Attensira helps companies gain recognition and recommendations from AI systems that operate very differently from traditional search engines.

Rethinking Visibility for AI-Driven Discovery

Attensira departs from search optimization based on keywords and backlinks. Karl-Gustav focuses on how these systems assess, attribute, and cite information in answers. "When AI evolves to cite brands by name rather than simply linking to websites, the rules change completely. We design the playbook for this new era," he explains. Predictive analytics and natural language processing anticipate how AI interprets context, relevance, and credibility. Brands gain placement in generated responses.

Expertise Rooted in AI Research

Karl-Gustav built search algorithms for anti-money-laundering detection at Wise. He worked on language models at Papercup. He co-founded Nabu, an AI legal assistant similar to Perplexity products. Earlier, he created Rentment, a real estate platform; Gowiz, a search engine developed over three years during university studies; and Pistachio, a marketplace for therapists. His work at Attensira targets AI decision-making processes. Attensira crafts content cues that these systems use to inform users.

"AI does not just scan and rank pages. It judges intent, evaluates credibility, and maps relationships," Karl-Gustav notes. Attensira analyzes these factors to build content architectures that position clients as sources in large data sets.

Technical Innovation and Industry Influence

Attensira's methods produce measurable results that influence standards. The AI Visibility Score serves as a reference for marketers and technologists. This metric, scored out of 100, measures brand mentions across ChatGPT, Claude, Perplexity, and Gemini. It tracks Citation Share, Direct Brand Mentions, Sentiment Analysis, and Share of Voice.

Attensira estimates search volume, among the first platforms to quantify queries in these systems with meaningful accuracy. Its keyword suggestion method maps customer personas and buyer journeys. It generates query variations with a "fan up/fan down" technique, then assigns volumes to identify key prompts. "The biggest mental leap is moving away from the obsession with ranking #1. In the world of AEO, you don't want to be the first link; you want to have the biggest share of voice, across all relevant prompts," Karl-Gustav says.

Measuring Real-World Impact

Several startups backed by notable accelerators have reported tangible results after working with Attensira. Human Behaviour (YC X25) gained 15 qualified leads from ChatGPT and Perplexity. "A month ago, we were invisible. Thanks to Attensira, we got 15 qualified leads from ChatGPT and Perplexity," says Amogh Chaturvedi, Founder.

Asteroid (YC W25) received a roadmap for visibility in enterprise searches for browser automation. "When enterprises search for browser automation, we want to be visible. Attensira gave us a clear roadmap on how to get there," says David Mlčoch, Founder.

OnFabric (EF S24) improved discoverability for its digital self product in AI search. "OnFabric is building the digital self for AI, and Attensira makes sure it's discoverable in AI search," says Eeshita Pande, Founder. Companies using these methods secure higher visibility and recommendation rates in AI platforms. They gain traffic and stand out in AI-curated exchanges. Karl-Gustav's methods offer a clear methodology, reducing guesswork for businesses looking to establish a presence in AI-driven discovery.

Leadership Beyond the Lab

Karl-Gustav's influence extends beyond Attensira itself. He has judged at several high-profile hackathons focused on AI search technologies. At Recess Hacks 5.0 in August 2025, a 36-hour virtual event organized by a Toronto-based nonprofit, he evaluated projects alongside engineers from Google, NVIDIA, Amazon, Jane Street, Netflix, and Bank of America—an event that drew 151 participants and awarded CAD $20,410 in prizes. He went on to judge at HackOdisha 5.0 in September 2025, Eastern India's largest student hackathon, which attracted over 5,000 registrations in a hybrid format, judging alongside senior engineers from Google, Amazon, and Netflix.

Beyond hackathons, Karl-Gustav has shared his expertise on several platforms. He appeared on the Girls Who Prompt Podcast in January 2026 for an episode titled "Trust the math. Question the hype. Keep the human." He also featured on the TechDental Podcast, recognized as the UK's leading AI podcast in dentistry. His insights were also quoted by GlobeNewswire in a September 2025 press release for Model Diplomat, which was syndicated to Yahoo Finance, The Manila Times, and 8 News Now.

A New Epoch in Digital Credibility

Attensira's work marks a tangible shift in how businesses establish digital presence during the AI era. Through Karl-Gustav's guidance, companies are learning to create content that AI systems actively cite and recommend—moving beyond traditional SEO metrics like rankings and backlinks. As the industry transitions toward trust, contextual relevance, and citation strength as the new benchmarks, Attensira's structured approach offers companies a grounded methodology to transform their online presence into a reliably referenced source within AI-generated discovery.