In a recent LinkedIn post, Ross Simmonds challenges the notion that Generative Optimization (GEO) is solely a form of “brand awareness” for AI, advocating instead for measurable, actionable Key Performance Indicators (KPIs). Simmonds, founder of Foundation Marketing, argues that effective AI strategies must be quantifiable to prove their real-world impact.
The core of Simmonds’ argument rests on the principle of measurability. He states unequivocally:
If you can’t measure it, it’s not real…
This assertion underscores a critical shift in how businesses should approach AI integration. Instead of viewing AI’s role as a nebulous brand-building exercise, Simmonds pushes for a data-driven approach that demonstrates tangible results.
Defining Measurable AI Success
Simmonds outlines several specific KPIs that he and his team are tracking for clients heading into 2026. These metrics move beyond general awareness to focus on direct contributions to business objectives, such as lead generation and competitive positioning within AI-driven search results. According to Simmonds, these are the indicators that truly matter when evaluating AI’s effectiveness.
Key Performance Indicators for AI in 2026
Simmonds highlights the following metrics as crucial for assessing AI’s performance:
- Brand mention rate across fixed prompts
- Leads and traffic generated specifically from AI tools like ChatGPT and Google AI
- Achieving Top-3 placement in Large Language Model (LLM) answers
- Tracking citation share relative to competitors
As Ross Simmonds notes, these KPIs provide a clear framework for understanding AI’s contribution to business growth. He prompts his audience to consider their own measurement strategies, asking, “What are you measuring?”
Beyond Awareness: The Drive for Actionable Insights
The distinction Simmonds draws between “brand awareness” and measurable outcomes is significant. While brand awareness is a valid marketing goal, attributing AI’s success solely to it can obscure its direct impact on sales, lead generation, and market share. By focusing on metrics like leads from AI platforms and competitive placement in AI-generated answers, Simmonds advocates for a more rigorous evaluation of AI investments.
In Simmonds’ view, the future of AI in business depends on its ability to deliver quantifiable value. He emphasizes that without clear, trackable KPIs, the true return on investment for AI initiatives remains uncertain. This perspective encourages marketing and business leaders to refine their strategies, ensuring that AI efforts are not just innovative but also demonstrably effective in driving business results.
📝 About This Content
This article is based on insights shared by Ross Simmonds on LinkedIn.
📅 Originally posted on January 12, 2026 | View original post on LinkedIn →