Prompt Intelligence

Prompt Intelligence helps you decide which questions are worth tracking, organize them around customer needs, and see whether your brand appears when AI models answer them. A prompt is the question PromptEye checks with the selected AI models. For example, “Which project management tool works best for a small design agency?” is a prompt; “project management tool” is only a search phrase.

Use this page to build a useful set of customer questions, spot gaps in the topics you monitor, and open the underlying AI answers when a number needs investigation. Prompt Intelligence measures your brand’s presence in AI answers. It does not measure visits to your website; use Traffic for website visits.

Before you start

Choose the project you want to work on from the project selector. Each project has its own prompts, groups, and results. If you cannot add or change prompts, your project access may be read-only; ask a project owner or editor to make the change.

PromptEye asks the AI models every monitored prompt regularly: once a day on most plans, and every two days on some plans. A new prompt has results after its first check. Prompts are checked for the market (country) chosen when the project was created; the market cannot be changed later, so create a separate project for another market.

The prompt limit comes from the plan of the workspace the project belongs to, and it covers all projects in that workspace. When you add a prompt, the add screen shows how many slots are left. If the limit is reached, the app says so and suggests upgrading the plan. Archiving or deleting a monitored prompt frees its slot.

Some evaluations and visibility results may be pending while PromptEye prepares them. The page can also show the last available visibility results while an update is in progress. If an evaluation shows an error rather than pending, open the prompt and check again later; contact support if it stays in error.

Read the page from top to bottom

Model and period

Use the controls at the top of the page to choose the AI model and the period for visibility results. You can choose a custom date range of up to 60 days. Changing these controls updates the answer-based results. Change markers show how the result differs from the comparison period; they are hidden when either period has fewer than 7 measured days. A model marked as unavailable requires an add-on. The period and comparison options work as on Visibility.

These controls do not change which prompts are monitored. They also do not change the funnel coverage table, which summarizes the active prompt set. If a funnel gap remains after changing the date range, it means the set itself has no prompt assigned to that stage.

Summary tiles

The summary tiles help you decide where to look first. Hover or focus each tile’s information icon for its exact calculation.

• Business priority is a recommendation about a prompt’s potential, based on its buying intent and estimated volume. It is not a guarantee of leads or sales. You can set your own 1–5 priority for an individual prompt; a manual choice replaces the recommendation until you switch back to the recommended value.
• Prompt Health summarizes how well the prompt set balances fit with your company, estimated volume, and buying intent. A low result suggests checking whether the prompt is relevant to your offer and reflects a real customer question.
• AI Traffic is an estimate of the monthly potential associated with the tracked questions, not a count of actual AI users or website visits. This tile is shown when the feature is available for your account. See How to read prompt potential for what the estimate can and cannot tell you.
• Company fit is an AI assessment of how closely the prompts match the project’s company profile, category, and offer. If it looks wrong, review the company information used by the project and the wording of the prompt.
• Prompts in the set counts monitored prompts and groups, and shows how many prompts are still missing a complete evaluation. “Pending” means the evaluation is incomplete; it does not by itself mean the prompt failed. AI Traffic is an optional tile, so the number of tiles can vary by account.

How to read prompt potential

The AI Traffic value helps you compare the potential of questions in your monitored set. On this page, the summary tile gives an overall view and a typical per-prompt figure; each prompt row has its own estimate. Summary totals skip prompts in the Error state and combine estimates from the other prompts. An orange warning beside a total means the estimate is missing for some prompts; hover over it for details. If no usable estimate remains, the total is unavailable. The same rule applies to totals in Visibility. The estimate does not count people who actually asked an AI assistant that exact question. It does not predict how often a model mentions your brand, whether your page was cited, or how many people visited your website. Use Visibility and Citations for answer results, and Traffic for visits to your site.

For example, a broad question such as “Which project management app is best?” may show a different estimate from “Which project management app works for a 12-person design studio?” The estimate alone does not explain why two questions differ, and broader wording is not automatically better. Compare the figures as one input when choosing what to monitor, but keep specific, high-intent questions even if their estimate is lower. A smaller estimate does not mean the question is unimportant to your customers.

For an individual prompt, the value may be shown as a number, <50, 0, No data, Error, Outdated, or a dash. 0 means a zero estimate was saved; No data means there was not enough information to show an estimate; Error means the check failed; Outdated means the last check failed and an earlier value is still shown. A dash can mean no estimate has been saved yet. These states are different: a missing or zero estimate does not mean the prompt itself has no value. If the details control appears next to a value, open it to review the status. Where Recalculate is available, it asks PromptEye to check that prompt again; it does not create another prompt or use another prompt slot. The size of the estimate does not change how often the prompt is checked; that depends only on the plan.

The estimate does not use an extra prompt slot. Adding a prompt does use a slot, whether its estimate is ready or not. You can add and monitor a relevant question without waiting for a potential estimate; a missing estimate does not block adding it or make it unusable. Plan limits apply to the prompts you monitor, not to whether each prompt has an estimate.

Changing a prompt’s wording changes the question PromptEye checks from its next check. Answers collected for the old wording stay in the same prompt’s history, so the prompt’s results then mix two questions. If you want a clean comparison, add the new wording as a separate prompt and archive the old one. After a wording change, PromptEye evaluates the intent, company fit, and AI Traffic again, so those values may show pending for a while; a stage you set yourself in the same edit is kept. You cannot change the wording to a question that is already monitored in the project. The edit form also lets you change its group, tags, and funnel stage, which changes where it appears in those views. If you disagree with the automated business priority, the manual priority setting changes the priority used for that prompt; it does not change the AI Traffic estimate. When business priority is still pending, its edit control may not yet be available.

Use the estimate together with the funnel, not as a replacement for it. The funnel tells you which customer-decision stages your prompts cover; the estimate helps compare the potential of questions you might add to fill a gap. It does not assign a prompt to a funnel stage or tell you what customers ask at that stage.

If a question has high estimated potential but low visibility, use Full analysis in Visibility to inspect the answers for that question. That combination is a reason to investigate, not proof that customers cannot find your brand or that you are losing sales. Low potential with high visibility means your brand appears in the checked answers for a question whose estimate is smaller; decide whether to keep it based on its relevance to customers as well as its estimate.

The estimate is not a sales forecast or a measure of your total market. It is not broken down by audience segment, and it cannot confirm that it represents a particular niche or every country and language you care about. Check that the prompt wording fits your intended customer and review the project’s market in Project settings.

Funnel coverage by group

Customers ask different questions as they move from learning about a problem to choosing a provider. PromptEye assigns each prompt an intent stage: Awareness, Consideration, Comparison, or Decision. The table has one row per group and one column per stage. A number is the number of active prompts in that group assigned to that stage; a dash means the group has no prompt there.

For example, if a “Pricing” group has prompts in Awareness and Comparison but a dash under Decision, add a question a customer might ask just before choosing, such as “Which [type of product] has the best support for a 20-person team?” A missing stage is a gap in what you monitor, not proof that your brand is invisible at that stage.

The summary above the table tells you how many groups cover all four stages and names the least-covered stage. Click a group row to open that group’s details. The funnel is based on active prompts and their assigned intent; the model and date controls do not filter it. Intent is usually evaluated automatically, but you can change a prompt’s stage yourself from its Edit action. That changes the stage count for its group.

Groups and tags

A group represents a customer need or topic, such as Pricing, Comparisons, or Use cases. Prompt Intelligence uses groups to show funnel coverage and to summarize results for related questions. Put questions together when you want to compare them as part of the same customer decision. An ungrouped prompt appears in a shared “No group” row, which makes its place in your analysis less clear.

Tags are extra labels that can cross-cut groups, such as “e-commerce” or “enterprise.” They help you find prompts by subject without changing their group or funnel role. A prompt with several tags appears in each matching bucket when you group the table by tags; this is only another way to view it, not extra monitored prompts.

Clicking a group in the funnel or table opens a detail panel. From there, open the full group page to see its summary, funnel, suggestions, and prompts. Group summaries combine the prompts currently in that group; open individual prompts when you need to understand differences that a group-level summary cannot show. A group is useful for understanding a need across several questions; a tag is useful for finding related questions across different needs.

Groups are shared across the app. The same groups organize the group tables on Visibility and AI Ads, and articles in Content can be linked to a group. Renaming a group or moving prompts changes those views too. If you delete a group, its prompts are not deleted; they move to the shared “No group” row, and content linked to that group loses its group link.

Group suggestions

On a group page, Generate suggestions proposes new prompts for that group. A Gap suggestion fills a funnel stage the group does not cover yet. A Replicate suggestion is close in theme to the group’s best-performing prompts. Each suggestion shows its estimated AI Traffic, Prompt Health, priority, and why it is proposed now. Choose Accept and add to add it to the group, Edit to change the wording first, or Reject. An accepted suggestion becomes a monitored prompt and uses a slot like any other prompt.

If nothing is generated, the page explains why: earlier suggestions are still waiting for your decision, the group has no gap and too few strong prompts to build on, or the workspace plan does not cover suggestions right now. Decide on the waiting suggestions, or come back when the group has new results.

Prompt table: find and compare questions

The table starts with prompts grouped by their assigned group. On the project page, you can switch between grouping by group and grouping by tags. Search can match prompt text, keyword, group, or tag/category. The tag, priority, and Health filters narrow which rows are shown; they do not change the underlying prompts. Clear filters or return to All when a prompt seems to be missing.

The Monitored and Archive views answer different questions. Monitored contains prompts currently being checked and used in the active summary. Archive contains prompts you have paused. Archived prompts are not checked and do not count toward the plan’s prompt limit, but the prompt remains in the Archive view. Restoring the same prompt resumes checks and requires a free prompt slot in the workspace. There are no results for the days a prompt was archived.

The table’s main result columns are:

• Visibility: the share of checked AI answers in the selected period and model where your brand appears.
• Citations: the share of checked answers that cite a page on your domain.
• Average position: your brand’s average place in the answer’s list of brands; 1 is the highest position.
• Business priority and Health: evaluations of the prompt’s potential and quality. A pending label means there is not enough completed evaluation yet.

Change markers show a difference from comparison data when that data is available; a dash means a value is unavailable for the prompt and selection. Visibility and citations describe the answers PromptEye checked; they are not website traffic metrics. Click a prompt row to inspect its evaluation and open the full analysis in Visibility, where you can review answer details and sources.

Move, archive, restore, or delete prompts

Select one or more rows to move prompts to another group, archive them, restore archived prompts, or delete them. Moving prompts changes how they are organized and which group summaries and funnel counts include them. It does not create a new prompt or change the wording.

Archiving pauses the prompt’s checks and removes it from active summaries and the prompt count. The prompt stays in Archive so you can restore the same prompt later. Restoring resumes monitoring and is blocked if the workspace has no free prompt slot; the app then shows the plan limit.

Deleting removes the selected prompt from the project. The app asks you to confirm, and a deleted prompt cannot be restored. If you may want the prompt or its history later, archive it instead.

Inspect one prompt

Click a prompt row to open its detail panel. It shows the prompt’s business priority, Prompt Health, estimated AI Traffic (when enabled), and company fit. The company-fit explanation gives context for the evaluation. The group funnel section marks the prompt’s assigned stage and shows how many prompts in its group cover each stage. Use the prompt’s Edit action to change that stage if the automatic assignment does not fit; this changes the group’s funnel coverage.

The visibility summary shows the prompt’s visibility, average position, and citation share for the selected model and period. Use Full analysis in Visibility to see the underlying answer analysis and sources. A visit from a model to your website belongs in Traffic; an appearance or citation in a generated answer belongs here.

If you have edit access, you can set a manual business priority from 1 to 5 or return to PromptEye’s recommendation. A manual value is saved for the project, so everyone working on it sees it. It drives sorting, filters, and suggestions; the PromptEye recommendation stays visible and you can switch back to it at any time.

Add prompts that reflect real customer questions

Choose Add → New prompt for one question or Add → New group to create a group first. Adding prompts requires write access and an available prompt slot. A single prompt must have text and a group; tags are optional. Use the question a customer would ask an AI assistant, not a short keyword phrase. For example:

• Better: “Which AI visibility tool should a small online store choose?”
• Less useful: “AI visibility tools ranking 2026”

One entry should cover one question. A prompt such as “What does it cost, how do I install it, and is it worth it?” combines several intents and makes its results harder to interpret. Split it into separate questions and group them if they belong to the same customer need.

Choose Many prompts to paste one question per line or upload a CSV, XLS, XLSX, or TXT file. The file can have columns for the prompt, the group, and tags, with or without headers. Use Download the template for a ready file. If you don’t have a list yet, Copy the LLM prompt copies instructions you can paste into ChatGPT, Claude, or Gemini; paste the result back into the list.

Review the preview before saving: check the prompt text, group, and optional tags. If the file’s columns were read incorrectly, use Change the column mapping. Prompts that are already monitored, duplicates within the list, and prompts longer than 160 characters are marked and skipped. A group name from the file that does not exist yet is marked will be created, and the group is created when you save. Every prompt to be added needs a group. If the list is longer than the free slots in the workspace, the extra rows are left out and the app tells you how many.

PromptEye evaluates buying intent, fit with the company profile, estimated volume, Prompt Health, and business priority as data becomes available. These are estimates, not facts about your customers. Use them to decide which questions deserve attention, and edit the prompt or company profile if the explanation does not fit your business. You can correct the assigned intent stage yourself from the prompt’s Edit action.

If something looks wrong

• The page is empty: select a project in the sidebar. If a project is selected, add prompts and wait for the first checks to finish.
• A result shows pending: the evaluation or visibility update is incomplete. The page may show the last available visibility results during an update; pending is not the same as an error.
• A prompt is missing: check whether you are viewing Monitored or Archive, clear the search and filters, and check its group or tags.
• You cannot add, move, archive, or delete: check whether your project access allows editing, or ask someone who can edit the project. Adding and restoring also depend on free prompt slots. The limit is shared by all projects in the workspace, so prompts in other projects can use it up.
• A number seems surprising: check the selected model and period, then open the prompt’s full Visibility analysis to inspect the answers behind the summary.