Startups can build an AI exposure system in three steps with Nimt.ai:
1. Benchmarking phase (weeks 1-2)
- Use after registration14-day free trialinAdd BrandEnter the official website address
- Manually add 10-15 core business keywords (e.g."Affordable Fitness Gear"), generating the initial exposure report
2. Competitive learning phase (weeks 3-4)
- existCompetitorsPage add 3 benchmarking companies and analyze them:
- Topics of Advantage (voice share >25%)
- Highly cited content types (blogs/product pages, etc.)
- Export competitor data and filter out 5-8 low competition high potential tips
3. Fast-track phase (from week 5)
- Pooling resources to optimize selected tips:
- Produce 1-2 copies of authoritative content (e.g."2024 Fitness Equipment Purchasing Guide.")
- Pitching to high-quality exposure sources identified by the tool (e.g., trade media)
- Weekly ViewAnalyticsranking change curves, A/B testing for under-advanced themes
Suggested choicesStarterPaid packages (~$29/month), focusing on 1-2 core language markets.
This answer comes from the articleNimt.ai: a tool to track and boost brand exposure for AI platformsThe
May not be reproduced without permission:AI productivity tools " Ways to realize startups building an AI platform exposure system from 0
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