by Mercer-MacKay team | LLM & AEO
Key Takeaways Start with a clear measurement goal tied to buyer intent, then choose a small set of KPIs that fit each AI answer surface. Use a stable prompt set, baselines, and an answer quality rubric so visibility trends stay trustworthy and actionable. Connect AI... 
by Mercer-MacKay team | LLM & AEO
Key Takeaways LLM governance works when you treat AI output as publishable content with traceable ownership, approvals, and version control. Risk tiering keeps AI content compliance practical, with strict checks for high-impact claims and lighter controls for low-risk... 
by Mercer-MacKay team | LLM & AEO
Key Takeaways Build your llm seo dashboard around outcomes leaders recognize: presence in AI answers, trust in what gets said, and measurable impact on pipeline and revenue. Use a small, stable set of priority prompts to track visibility, citations, and answer... 
by Mercer-MacKay team | LLM & AEO
Key Takeaways Automation should cover repeatable SEO production steps, while people own intent, narrative, and accountability for claims. Quality will come from governance, not tools, so set clear standards and required QA gates before anything ships. A hybrid... 
by Mercer-MacKay team | LLM & AEO
Key Takeaways Lock quality standards and AI content governance before you scale output so speed does not outrun accountability. Standardize briefs and prompt templates, then run automated quality control checks so human review stays focused on meaning and credibility.... 
by Mercer-MacKay team | LLM & AEO
Key Takeaways Content will scale when you manage governed modules with shared metadata instead of copying pages across channels. SEO performance will hold up better when reusable answer blocks keep intent and language consistent across many pages. Adoption will stick...
