Fine-tuning
human + digital
atmospheres
We listen to what others overlook—the hidden dynamics of workplace culture and the invisible infrastructures that shape AI audibility. Our Human-AI Listening and proprietary Generative Engine Listening (GEL)™ framework help teams clarify their voice and amplify their presence across generative systems.
Behind every AI struggle is an unheard question...
We make the invisible audible.
OUR approach
Our dual practice: human + digital atmospheres
Our practice bridges human and digital atmospheres through two integrated listening modes –one attuned to workplace culture, the other to AI systems.
Workplace Atmospherics + Digital Change
Our holistic approach to change management
We design progressive, research-driven strategies for digital transformation and change management, helping teams navigate uncertainty, adopt new digital practices, and embed sustainable cultural shifts.
What do we do?
We work with the intangible climates that shape organizational life: in the office and in the cloud and between hybrid and remote teams.
Our methods
Using one-to-one interviews, participant observation, deep listening, and other ethnographic methods — alongside systems thinking, sound theory and policy analysis — we analyse office climates to reveal underlying patterns that sustain or undermine productivity and influence individual and collective experiences of change.
Our research-based approach transforms not only structures and processes, but also the atmospheres that sustain them.
Generative Engine Listening™
Our sound-based approach to Generative Engine Optimization
We are pioneering future-driven strategies to build brand resonance and amplify AI audibility, ensuring your brand voice carries clearly across generative platforms such as ChatGPT, Perplexity, and Google AI Overviews.
What is GEO?
GEO, or Generative Engine Optimization, is the practice of improving how organizations show up in generative AI tools like ChatGPT, Perplexity, voice assistants, and Google’s AI Overviews. Similar to SEO, it focuses on visibility — tailoring content, data, and signals so AI systems include you in their responses.
Why Generative Engine Listening™?
At &listen…, we believe GEO is only part of the story. Traditional GEO stops at visibility — making sure you “show up” in search results. But generative AI doesn’t just see, it listens: it repeats, amplifies, and sometimes distorts the signals it draws from open knowledge systems. That’s why we developed our proprietary framework, Generative Engine Listening™ (GEL).
With Generative Engine Listening™ (GEL), we analyse how your organization resonates in the knowledge systems that feed AI — Wikipedia, Wikidata, and open knowledge graphs. We detect signals, uncover bias and noise, and identify the silences that shape AI’s responses.
What sets us apart?
Most consultancies working with SEO and GEO focus on brand visibility. At &listen... we take the next step: listening to how AI represents you.
Our dual approach combines digital narratives (how your story is told) and structured data (what the machines read) to sustain your brand voice amidst the evolving acoustics of AI.
Why
Based on 15 years of research into sound, affect and inclusion, &listen... is a boutique workplace consultancy and AI agency. We specialize in uncovering the intangible climates that shape workplaces, and in making organizations audible to the generative AI systems that now define digital reputation.
Our consultancy practice fosters inclusive, adaptive workplace cultures, while our Generative Engine Listening™ (GEL) framework extends that resonance into the digital realm — helping organizations become audible to generative AI systems and amplifying their brand voice in ways that are accurate, trusted, and resonant.
Explore the research
behind our methods
We leverage ethnography, affect theory, sound studies, linguistic anthropology, and cultural geography combined with AI technology to provide valuable insights into the subtle and often unnoticed human and non-human factors that shape workplace atmospheres.
