Working with Prompts
Prompts are the questions users ask AI platforms that you want your brand to be visible for. ReachLLM runs your tracked prompts against each enabled AI platform on a schedule and analyzes every response, so your prompt list defines exactly what your visibility scores measure.
Where prompts come from
Section titled “Where prompts come from”When you set up a brand, ReachLLM generates a starter set of prompts automatically from your brand analysis. These cover the questions your likely customers ask AI assistants about your category, your products, and your competitors.
You are not limited to the generated set. You can:
- Add your own prompts for questions you know matter to your business.
- Edit any prompt to sharpen its wording.
- Archive prompts you no longer want to track. Archived prompts stop running and stop counting against your tracked-prompt limit.
Adding prompts
Section titled “Adding prompts”Open Prompts, select Add prompts, and enter one prompt per line. You can add up to 100 prompts in one batch. Blank lines and duplicates are skipped, then ReachLLM starts analyzing the prompts that were added successfully.
Only the newly added prompts are analyzed. As their answers finish, the current Brand Visibility view combines them with the saved answers for your other active prompts. Visibility Score, Share of Voice, rankings, citations, sources, topic breakdowns, Query Fanout, and Detailed Responses update automatically. You do not need to rerun every prompt to include the new evidence.
The running analysis shows the prompts and progress for that specific run. Adding one prompt shows one prompt being checked, while the current view keeps the answers from your other active prompts available.
Archiving a prompt removes it and its evidence from the current view without another AI run. Saved historical runs keep their original prompts and answers. Restoring an archived prompt can reuse its saved evidence.
The current view uses the latest successful answer available for each active prompt and platform. Pending or failed checks do not erase an earlier successful answer. Refresh Now remains available when you want fresh answers across every active prompt. Sentiment keeps the scope and date of its saved full analysis; adding or archiving a prompt does not generate a new sentiment summary.
Your tracked-prompt allowance is checked across the workspace before the batch is saved. If the batch would exceed the allowance, ReachLLM shows the current usage and limit without clearing your draft.
A tracked-prompt warning counts active saved prompts, including other projects in a pooled workspace. It does not show execution-credit spending. Active prompts stay in your inventory across billing cycles, so waiting for a credit reset does not free prompt capacity. Archive or remove prompts you no longer need to track, or increase the workspace allowance.
Organizing prompts
Section titled “Organizing prompts”A well-organized prompt list makes your visibility results much easier to read.
Topic tags
Section titled “Topic tags”Group prompts by theme with topic tags. Tags let you filter results and power the Topic-wise Visibility heat map in Brand Visibility, so you can compare your cumulative mention rate with competitors for every topic.
Open Knowledge Base > Topics to add, rename, or remove a topic and assign prompts to it. ReachLLM confirms each saved change. If saving a new topic fails, the previous topic list stays in place and the input keeps your draft so you can try again.
Each prompt can belong to more than one topic. When it does, its tested AI answers contribute to every assigned topic. Topics with no analyzed prompts stay out of the heat map, and intent stages remain separate from topics.
When you export generated search prompts from Knowledge Base, the CSV filename uses the date the saved prompt set belongs to. Downloading an older saved set does not replace that date with today's date.
Branded vs unbranded
Section titled “Branded vs unbranded”Each prompt is classified as branded (it names your brand) or unbranded (a discovery question that does not). ReachLLM sets this automatically when prompts are generated, and you can change it: click the Branded or Unbranded label on any prompt to flip it. This classification powers the Any / Branded only / Unbranded only filter in Brand Visibility, so getting it right keeps your branded and unbranded views accurate. See AI visibility tracking for how the filter works.
Intent stages
Section titled “Intent stages”Assign each prompt an intent stage that matches where the asker is in their journey:
| Stage | What the asker wants |
|---|---|
| Learn | Understand a problem or category |
| Consider | Compare options and shortlist solutions |
| Purchase | Pick a specific product or vendor |
Tracking visibility by stage shows whether you appear early in research, late at the decision, or both.
Linking prompts to products
Section titled “Linking prompts to products”You can link prompts to specific products, so you can see how each product line performs in AI answers rather than only viewing brand-level results.
Bulk operations
Section titled “Bulk operations”You do not have to organize prompts one at a time. Bulk tagging and bulk product assignment are supported, so you can select many prompts and apply tags or product links in one action.
Tracked-prompt limits
Section titled “Tracked-prompt limits”Each plan includes capacity for active tracked prompts:
| Plan | Active tracked prompts |
|---|---|
| Pro | 100 |
| Scale | 500 (pooled across up to 10 brand projects) |
| Enterprise Agencies | 1,000 (pooled across unlimited brand projects) |
| Growth | 500 for one managed brand project |
| Enterprise | Custom |
See Plans and pricing for full plan details. To stay within your limit, archive low-value prompts and keep the list focused on questions that drive real buying decisions.
Selected-plan trials and complimentary access use the same tracked-prompt allowance as the displayed plan. When the allowance is full, ReachLLM prevents another prompt from being added and offers an upgrade through Account > Billing. Existing prompts and saved results remain available.
Some custom agreements include a higher account-level tracked-prompt allowance. Billing, prompt creation, manual reruns, scheduled tracking, and Agent-triggered reruns all use that same effective allowance. Pooled plans count active prompts across the whole workspace.
Scheduled prompts via the agent
Section titled “Scheduled prompts via the agent”Beyond the recurring visibility runs, you can have the ReachLLM agent run a task on a schedule: daily, weekly, monthly, or once. Set these up and manage them in the agent's Scheduled panel. This is useful for recurring checks or reports built around your prompts, with results delivered without you having to ask each time.
Learn more about what the agent can do in The ReachLLM agent.
Next steps
Section titled “Next steps”- AI visibility tracking: how your prompts turn into scheduled runs and analyzed answers.
- Understanding the scores: how Visibility Score, Share of Voice, and rank are calculated from prompt results.
- The ReachLLM agent: generate prompts, analyze performance, and schedule recurring tasks.