Your prompt library is the set of buyer-style questions every benchmark runs through ChatGPT, Claude, Perplexity, and Gemini. It’s the measuring stick — so the most important thing about it is that it stays stable. Prompts persist across runs; each benchmark measures the same questions, which is what makes your score trend meaningful instead of noise.

You manage it from the Prompts page in the console.

What’s in the library already

Most workspaces arrive with a library already built — evaluation prompts grounded in real Google search queries with monthly volume data, not synthetic templates. They’re weighted toward the head-to-head and landscape questions buyers actually ask, and layered across features and buyer personas.

Each prompt is scoped to a subject — your brand, or one of its products — so per-product libraries stay separate. When you filter the Prompts page to a product, you’re editing that product’s questions only.

Add a prompt

Use Create prompt to add a question by hand. Write it the way a real buyer would ask an AI — “what’s the best tool for X,” “compare us vs a competitor,” “does product Y support Z.” Manual prompts join the same library and are measured identically to generated ones.

Generate prompts

The Generate action rebuilds a batch of prompts from your keyword corpus — real search seeds with volume data behind them. Generation runs live LLM calls and can fetch fresh keyword data, so it’s a manual button rather than something that fires automatically. Run it when you’ve added a product, entered a new market, or want to widen coverage of a topic — not on every visit.

Star, activate, and archive

Two independent controls shape what a benchmark actually runs:

• Status — a prompt is either active or archived. Only active prompts are included when a benchmark runs. Archive a prompt to retire it without losing its history; archived prompts keep the sentiment and results they earned.
• Star — a flag you layer on top of any active prompt to mark it as a priority. Starring doesn’t change whether a prompt runs; it surfaces the questions you care most about.

Archiving is almost always the right move over deleting. Deleting is permanent and drops the prompt’s history; archiving keeps the record and lets you reactivate later.

Keep the library stable

Every prompt you add, archive, or regenerate changes what future runs measure. That’s fine — just do it deliberately. If you want a clean before-and-after on a specific fix, avoid reshuffling the library between those two runs so the only thing that changed is your content, not the questions.

Next: manage the competitors your prompts benchmark you against, or run a benchmark once the library looks right.