This is a reminder for the MarTech webinar on March 3, 2026.

Measuring AI answers involves evaluating their accuracy, relevance, clarity, and reliability against trusted sources or defined benchmarks. It also requires assessing context awareness, bias control, and practical usefulness to ensure the responses genuinely support informed decision-making.

MarTech is hosting a webinar, ‘Measuring AI Answers: How 3rd-Party Sites Influence Who Gets Cited’ on Tuesday March 3, 2026.

The MarTech team says, “Citation Labs tested a way to measure visibility insights. They’ll share findings from an early controlled test where they published off-domain comparison pages (microsites) and tracked three signals across a repeatable prompt set: citation presence, brand inclusion, and list position.

While early, these initial findings provide a conservative measurement model you can use to run a similar pilot and defend the budget as you scale it across your organization.

What we’ll cover:

  • The measurement problem: why screenshots and one-off prompts mislead leaders
  • 3 signals that matter: citation presence, inclusion, and position
  • How to build a repeatable prompt set based on buyer selection questions
  • How to map the 3rd-party sources that shape AI answers in your category
  • How to track movement conservatively
  • How to turn early signals into next actions: on-site content, 3rd-party placements, or a purpose-built comparison page”.

Measuring AI Answers: How 3rd-Party Sites Influence Who Gets Cited

MarTech