Ask real buying questions
We test prompts shoppers already use: best product, safest option, comparison, use case, dose, ingredients, and category-specific needs.
Simple version
We show supplement brands what AI says when shoppers ask what to buy.
People now ask GPT, Claude, Grok, Gemini, and Perplexity questions like “best magnesium for sleep” or “which creatine should I buy?”. ShelfSignal checks whether your brand appears in those answers — and explains why it does or does not.
What we do
See which brands AI recommends
We record whether your products are mentioned, where they rank, which competitors appear instead, and which sources AI relies on.
Explain what to fix
We turn the results into a clear list of product-page, schema, feed, claims, certification, review, and content fixes.
Example
A shopper asks: “What is the best magnesium for sleep?”
- AI recommends two competitors.
- Your product is missing or ranked low.
- The reason may be unclear magnesium form, weak certification data, missing dosage details, or trusted content not connected to the product.
- ShelfSignal shows the gap and the practical fix.
Example report
What a ShelfSignal report can show
Example category: magnesium supplements for sleep. Numbers below are illustrative.
Your brand appeared in 11% of tested AI answers.
- Competitor A — 34%
- Competitor B — 25%
- Your brand — 11%
- They clearly state magnesium form, dose, and use case.
- Their third-party testing and certifications are easier for AI to find.
- Their product pages, schema, and trusted content say the same thing.
Make form, dose, allergens, certifications, reviews, and use cases clear and machine-readable across product pages, schema, feeds, and supporting content. Then re-test the same prompts and measure movement.
Why this matters
AI answers are becoming a new shelf. If your product is not in the answer, the shopper may never reach your website. ShelfSignal helps brands measure that shelf and improve their chance of being recommended.