BrokerChooser

Artificial Intelligence

• Set up and track LLM visibility
• Define how a broker's presence in AI answers gets measured — mentions, sentiment, competitive positioning — and baseline it, then monitor it consistently over time
• Find the story in the data
• Identify where each broker is genuinely strong and shape how that strength gets expressed — through content on BrokerChooser, YouTube, Reddit, and whatever experiment the data justifies
• Own the client relationship across the full lifecycle, from scoping to recurring reporting and growth
• Report in a way that lands; translate visibility metrics into concrete recommendations a partner understands in one read

Senior Consultant – AI Search Visibility

• Set up and track LLM visibility for our brokerage partners: Defining how a brand’s presence in AI answers gets measured (mentions, sentiment, competitive positioning) and monitoring it consistently over time.
• Analyze the data to find the story: Where a partner shows up, where they don’t, which competitors own which angles, and what’s actually moving the needle.
• Report to partners in a way that’s clear and high-value: Translating visibility metrics into concrete recommendations.
• Push visibility higher: Identify the angles where each broker is genuinely strong, and shape how those strengths get expressed in content so the AI models pick them up and surface them.
• Own the client relationship across the project lifecycle: from deal scoping through to recurring reporting and visibility growth.
• Drive Product Development: take part in building up products that help retail investors through their investment journey.
• Leverage New Tools: use advanced tools like Python, Ahrefs, and Google Search Console to optimize research and content strategies.
• Hands-On Testing: evaluate global brokerage platforms, including order execution, fees, and trading tools.

Senior Consultant – AI Search Visibility

Broker, AI Visibility Analyst