Use case
Product marketing and positioning
For Product marketers: Ensure public positioning is what AI systems repeat—not outdated third-party blurbs.
Goal
Ensure public positioning is what AI systems repeat—not outdated third-party blurbs.
Common triggers
- AI describes the product incorrectly
- Pricing hallucinations in assistant answers
- Competitor comparisons omit differentiators
Outcomes
- Citable first-party pages
- llms.txt aligned to positioning
- Comparison pages AI can quote
First step
Publish crawlable pricing, positioning, and comparison facts; draft llms.txt.
Related reading: measure AI visibility, buyer-intent content, pricing.
Related
FAQ
Who is this for?
Product marketers. Goal: Ensure public positioning is what AI systems repeat—not outdated third-party blurbs.
What outcomes should we expect?
Citable first-party pages llms.txt aligned to positioning Comparison pages AI can quote
What is the first step?
Publish crawlable pricing, positioning, and comparison facts; draft llms.txt.