Which brands lead in each category?
The report profiles eight categories with brand-level modeled citation share. In each table the category leader is normalized to 100, so scores are comparable within a category but not across categories.
| Category | Top brand (100) | Runner-up | Rising fast |
|---|---|---|---|
| Beauty | Sephora | Ulta Beauty (92) | e.l.f. Cosmetics |
| Crypto and digital assets | Coinbase | Kraken (82) | Robinhood Crypto |
| Wedding | The Knot | Zola (88) | Joy |
| Local services | Angi | Yelp (92) | Thumbtack |
| Pickleball | Selkirk | Joola (94) | Vatic Pro |
| Sports betting | DraftKings | FanDuel (98) | ESPN BET |
| B2B SaaS | Salesforce | HubSpot (94) | Notion, Linear |
| Health and wellness | Peloton | Oura (92) | Hims & Hers |
How do the five engines differ in what they cite?
The same buyer query returns a different source mix on each engine. The table shows modeled source-type weighting averaged across the 15+ tracked categories.
| Source type | ChatGPT | Claude | Perplexity | Gemini | AI Overviews |
|---|---|---|---|---|---|
| Editorial and news | 32% | 28% | 41% | 26% | 38% |
| Wikipedia and reference | 18% | 14% | 9% | 21% | 12% |
| Reddit and community | 14% | 8% | 16% | 9% | 7% |
| Brand-owned sites | 15% | 13% | 14% | 19% | 21% |
| Research and analyst | 8% | 22% | 10% | 7% | 6% |
| YouTube and video | 5% | 3% | 4% | 11% | 9% |
| Other | 8% | 12% | 6% | 7% | 7% |




