11. The Rival Teardown
The AI models, asked your customers’ questions, recommended these instead of you:
- us.vilgain.com (cited 1x)
- ypc.co.uk (cited 1x)
- usafitness.es (cited 1x)
- dolphinfitness.co.uk (cited 1x)
- guiltfree.pl (cited 1x)
- myprotein.com (cited 1x)
- bulk.com (cited 1x)
- hayalabs.es (cited 1x)
- eliveragroup.com (cited 1x)
- whowhatwear.com (cited 1x)
- scienceinsights.org (cited 1x)
- sciencedirect.com (cited 1x)
How to size them up
Score each rival 1 to 5 on the twelve things that decide a buyer: features, pricing, ux, performance, docs/content, support, integrations, security/trust, scalability, brand, community, innovation. That needs their pages and their reviews in front of you - this sheet gives you the names and the scorecard; the reading is yours to do.
The page to publish first: an honest alternative to the rival they name most
Open with the problem the buyer has with that rival, show yourself as the alternative, compare honestly, say plainly who should not switch, then the call to action.
The keyword ground already yours to take (from this run’s own data)
| Keyword | Difficulty | Searches/mo | Intent |
|---|---|---|---|
| pea protein powder | 13 | 18100 | transactional |
| whey protein costco | 0 | 9900 | transactional |
| pea protein vs whey | 7 | 6600 | informational |
| whey or pea protein | 14 | 6600 | informational |
| pea vs whey protein | 6 | 6600 | informational |
| whey protein walmart | 0 | 1900 | transactional |
| whey protein gold standard | 8 | 1300 | transactional |