About Foxish

Foxish is an AI visibility monitoring platform that tracks how ChatGPT, Google Gemini, Perplexity, Claude, and Google AI Overviews recommend brands when buyers ask product questions. The company was founded in 2026 by Devon Gerber and Bruno Tume and is headquartered in the United States.

Often described as “Semrush for AI” — the category most observers call Answer Engine Optimization (AEO) or Generative Engine Optimization (GEO).

Why we built it

The buyer journey changed faster than most companies noticed. In 2024 the typical SaaS buyer started research on Google; by 2026, a meaningful share of those same buyers ask ChatGPT, Perplexity, or Gemini first. The shift is structural, not seasonal — AI assistants give one or two recommendations by name and relegate everything else to footnote, which means the brands not in those answers are effectively invisible to a growing percentage of their market.

Foxish exists for one reason: to give brands a way to see how AI actually talks about them today, and a path to changing that answer. Every feature in the platform ladders back to those two jobs — measurement and remediation.

The founders

Foxish was founded by two operators who saw the same problem from different angles. Devon spent years building products at AI-first startups. Bruno spent years leading enterprise revenue teams. Together, they realized that AI wasn’t just changing software — it was changing how every company gets discovered. Foxish was built to help businesses win in that new reality.

Devon Gerber

Devon Gerber

Co-founder & Head of Product

Software product manager with a decade of work primarily at early- and growth-stage AI and SaaS startups. Saw the shift to LLM-driven buying research happening across his own network and concluded that companies missing from AI answers would lose access to a growing share of pipeline. Leads product and engineering at Foxish.

Bruno Tume

Bruno Tume

Co-founder & Head of Revenue

Bruno leads go-to-market strategy, partnerships, and customer growth at Foxish. After more than a decade helping SaaS companies build revenue, leading enterprise sales teams, and scaling customer success organizations, he recognized a fundamental shift in how buyers discover and evaluate businesses. As AI platforms increasingly became the first place people turn for answers, he saw that traditional SEO alone would no longer be enough.

That realization led to the founding of Foxish. Working closely with customers every day, Bruno helps shape the platform around real business challenges — turning customer insight into product innovation and helping organizations stay ahead of the next evolution of search.

The pairing is intentional: a product builder and a revenue leader building a tool for a category where product quality and go-to-market understanding both compound. Most AI visibility tools were built by engineers optimizing for technical depth. Foxish is built for the operator running the brand.

What Foxish does

Foxish runs the actual buyer queries that real prospects type into AI assistants and reports back where your brand appears, where it doesn’t, who’s being recommended instead, and what to change to close the gap. The platform covers:

  • 5 AI surfaces: ChatGPT, Google Gemini, Perplexity, Google AI Overviews (all paid plans), and Claude (paid add-on).
  • 245+ categories across SaaS, ecommerce, agency services, healthcare, and local services.
  • 24,000+ benchmark prompts — real buyer queries that drive the scans.
  • Live browser-equivalent scanning instead of raw API calls, so the answers we capture match what your buyers actually see.
  • AEO recommendations grounded in published research (including the Princeton GEO study) — what content gaps to fill, what citations to earn, what comparison pages to publish.

How Foxish differs from other AI visibility tools

The AI visibility category is young. Most adjacent tools fall into one of three shapes, each useful but each making different tradeoffs:

  • Profound and AthenaHQ lean enterprise — robust dashboards, higher price points, longer sales cycles. Strong for enterprise brand teams; less accessible for founders and growth-stage operators.
  • Semrush AI ships as a feature inside a broader SEO suite. Useful if you already pay for Semrush; less specialized as a primary AEO tool.
  • Peec, Otterly and a handful of newer entrants focus on prompt-tracking breadth. Good for measurement; thinner on action.

Foxish’s opinionated differences: a generous free tier (5 prompts × 3 models, no credit card) so prospects can evaluate before deciding; an agency-first offering with white-label pitch reports built in; and a recommendations engine that gives you specific content briefs and citation targets rather than only a score.

Contact

See if AI recommends you

Free plan: 5 prompts × 3 models, monthly scans, 1 pitch report per month. No credit card.