Measuring AI Answers: How 3rd-Party Sites Influence Who Gets Cited
Speakers:
Garrett French, Citation Labs Founder & CEO
James Wirth,
Managing Director Product & Growth, Citation Labs
AI answers assemble responses from a rotating set of 3rd party sources. That breaks traditional SEO reporting for leadership because traffic and rankings don’t explain why your brand shows up, disappears, or drops in the citation options list in AI answers.
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
Opinions expressed in this article are those of the sponsor. MarTech neither confirms nor disputes any of the conclusions presented above.
