September 23, 2026
A Complete Guide to the AEOTrack Prompts Page: Track Every Question That Matters to Your Brand
Introduction
Your overall AI Visibility Score tells you how you're doing. The Prompts page tells you why. This is where AEOTrack breaks visibility down to its most granular, actionable level: the individual questions real customers might ask an AI assistant, and whether your brand shows up in the answer.
This guide walks through every card, tab, table column, and chart on the AEOTrack Prompts page, using a fictional example company — Acme Analytics — so you can understand exactly what you're looking at before you ever open your own dashboard.
What Is the AEOTrack Prompts Page?
The Prompts page (found under Prompts → Questions in the sidebar) is where you manage and review the specific questions AEOTrack checks on your behalf. Each "prompt" is a real, natural-language question a prospective customer might type into an AI assistant — and AEOTrack repeatedly asks AI models that exact question to see whether your brand gets named, cited, and recommended.
Where the main dashboard gives you a bird's-eye view of your AI visibility, the Prompts page answers more specific questions:
- Which exact questions is my brand winning or losing?
- Is my position on a given question improving or getting worse?
- Which AI engines were checked, and did any of them have trouble answering?
- Is my website actually being cited as a source?
- Which competitors are named instead of me on a given question?
- How is my overall pool of tracked questions shifting over time — toward visibility, or away from it?
The Questions Tab: Summary Metrics
At the top of the Questions tab, four summary cards give you a snapshot of your prompt-tracking performance.
AEO Score
What it means: Your visibility score, out of 100, based specifically on the pool of questions tracked on this page.
Example: Acme Analytics has an AEO score of 12/100.
Why it matters: This is the prompt-level equivalent of your dashboard's overall AI Visibility Score — it tells you how you're doing across the exact set of questions you've chosen to monitor.
What you should do: Treat this as your working number for prompt-level strategy. If it's low, the table below will show you exactly which questions are dragging it down.
Organic Discovery
What it means: A score reflecting how well AI systems are naturally discovering and surfacing your brand for these questions, independent of any single check.
Example: Acme Analytics scores 10/100 on organic discovery.
Why it matters: This distinguishes genuine, sustained discoverability from a one-off lucky mention — a useful check on whether visibility gains are durable.
What you should do: If this score lags well behind your AEO score, treat any single high score with caution — it may not be consistently repeatable yet.
Questions Tracked
What it means: The number of prompts currently being actively monitored, out of your plan's total allowance.
Example: Acme Analytics tracks 11 out of 150 available question slots.
Why it matters: This tells you how much of your available tracking capacity you're using — and, indirectly, how broad or narrow your current visibility picture is.
What you should do: If you're tracking far fewer questions than your plan allows, consider adding more prompts (see "Track a New Question" below) to get a fuller picture of your visibility across your category.
Answers Analysed
What it means: The total number of individual AI answers AEOTrack has collected and analyzed across all your tracked questions and engines.
Example: Acme Analytics has 84 answers analyzed so far.
Why it matters: More analyzed answers generally means a more statistically reliable picture of your visibility, since it smooths out day-to-day variation in how AI models respond.
Engines Behind This Score
Just below the summary cards, AEOTrack shows which AI engines contributed to the current score, along with any notes about how the check ran.
What it is: A row of engine icons (for example, Perplexity, ChatGPT, Gemini, Claude, and Grok) representing every AI platform queried for the current set of results.
Why it matters: Not every engine responds cleanly every time. AEOTrack transparently flags when something unusual happened during a check.
Example (fictional): A note might read: "Grok needed retries on this run but answered in the end, so your score still covers the full panel." This tells you the score is still complete and trustworthy, even though one engine had a rough run.
What you should do: If an engine is consistently missing or failing to answer (rather than just needing a retry), that's worth investigating separately — it may mean that engine can't currently be evaluated for your brand at all.
The Questions Table
The core of the Prompts page is a detailed table listing every tracked question, with a column for each key data point.
Question
What it is: The actual tracked prompt — the real question being asked of each AI engine. Example: "What are the best AEO tracking tools for AI assistants?" Some questions are labeled NEAR-BRAND, meaning the question references your product category closely but doesn't include your brand name directly — as opposed to a fully generic, non-branded question.
Score
What it is: A per-question visibility score. How to interpret it: A score of 0 means AI is not currently naming your brand at all on this specific question — this is your most direct, granular signal of where a content gap exists.
Mentions
What it is: A fraction showing how many of the recent checks resulted in your brand being named (e.g., "0/5" means named in zero of the last five checks). How to interpret it: This gives you a hit rate rather than a single pass/fail result, since AI answers can vary slightly between runs.
Trend
What it is: A small sparkline showing the recent trajectory of this question's score. How to interpret it: A downward red line signals declining performance on that specific question; a flat gray line signals no meaningful change; an upward line signals improvement. What to do: Prioritize investigating questions with a declining trend before they fully drop out of contention.
Sentiment
What it is: Where available, an indicator of the overall tone of the AI's answer when your brand is mentioned (positive, neutral, or negative). Why it matters: Being named isn't automatically a good outcome — sentiment tells you whether the mention is likely to help or hurt.
Engines
What it is: Icons showing which specific AI platforms were checked for this question, with visual emphasis on which ones actually answered.
Citation
What it is: A count showing how many total citations (source references) were logged for this question, often with a link icon. Example: A question with a citation count of "96" means that, across all checks and engines, your website (or others) were cited a combined 96 times in answering this question. Why it matters: A high citation count with a low mention score can indicate the topic is well-covered by sources in general — but not yet by you specifically.
Competitors
What it is: A small row of colored initials representing which competitor brands were named in answers to this question. What to do: Click into a question to see exactly which competitors are winning it, and review their relevant content for gaps you can fill.
Recheck
What it is: A manual refresh control letting you re-run the check for a specific question immediately, rather than waiting for the next scheduled check — useful right after you've made a content change.
The AEOTrack Questions tab, showing AEO score, organic discovery, and the full tracked-questions table.
The Other Tabs: Topics, SERP monitor, Responses, Add Prompts
Alongside the Questions tab, the Prompts page includes four additional tabs:
- Topics — groups your tracked questions into broader subject clusters, useful for spotting which categories of questions you're strong or weak in overall, rather than reviewing one question at a time.
- SERP monitor — where your website actually ranks in classic Google search results for a keyword, so you can compare organic rankings with the AI answers on the Questions tab (Pro and up).
- Responses — lets you review the raw AI-generated answers behind each score, so you can read exactly what an AI model said in response to a given question.
- Add Prompts — where you submit new questions for AEOTrack to begin tracking.
"How Your Prompts Have Moved": The Prompt Status Chart
Below the table, AEOTrack shows a stacked bar chart tracking how your entire pool of tracked prompts is distributed across four possible states, at each check-in date.
The four prompt states
- Stronghold (green): AI names your brand and cites your website. Your strongest possible position on that question.
- Named, not cited (purple): AI names your brand but doesn't reference your website as a source.
- Read, not credited (orange): AI reads your website's content as a source but doesn't actually name your brand in its answer.
- Invisible (gray): Neither named nor cited — you have no presence at all on that question.
How to read the chart
X-axis: Check-in dates.
Y-axis: Number of tracked prompts.
Each bar: A snapshot of your entire tracked prompt pool on that date, segmented by state.
The AEOTrack prompt status chart, showing stronghold, named, read, and invisible prompts over time.
Example (fictional): Imagine Acme Analytics' bar chart shows a small green (stronghold) segment holding roughly steady across three checks, while the gray (invisible) segment grows noticeably larger by the most recent check — even as total tracked prompts increase.
What this tells you
A growing invisible segment, especially if it's growing faster than your stronghold segment, suggests that new tracked questions are outpacing your ability to earn visibility on them. A shrinking invisible segment alongside a growing stronghold segment is the clearest possible sign of real progress.
What action to take
Use this chart as your single best "big picture" view of whether your overall AEO effort is working. Then use the questions table above it to identify exactly which prompts are stuck in the invisible or read-not-credited states, and prioritize those for content work.
Track a New Question
Beneath the chart, AEOTrack provides a direct way to expand your tracked prompt set.
- "Add questions" lets you manually submit new prompts you want monitored — questions you know your customers are likely asking an AI assistant.
- "Suggest questions" uses AI to brainstorm relevant questions worth tracking for your specific site and category, which is useful if you're not sure where to start or want to make sure you're not missing an obvious gap.
- "Manage everything" links out to a fuller prompt-management view for reviewing, editing, or archiving your full tracked question list.
What action to take: If your Questions Tracked count is far below your plan's limit, use "Suggest questions" to quickly expand coverage with relevant, high-value prompts rather than guessing.
How to Read the Prompts Page: Step-by-Step
- Check your AEO score and organic discovery score for the current snapshot.
- Review the questions table, sorting or scanning for the lowest scores and declining trends.
- Open a specific question to see engine-by-engine responses, citations, and named competitors.
- Check the prompt status chart to see your overall stronghold vs. invisible balance over time.
- Identify gaps — prioritize "read, not credited" and declining-trend questions, since discovery is already happening there.
- Add or suggest new questions if your tracked pool doesn't yet reflect the full range of things customers ask.
- Use "Recheck" after making a content change to measure impact quickly, rather than waiting for the next scheduled check.
Frequently Asked Questions
What is a "NEAR-BRAND" question?
A tracked question that references your product category closely, without including your exact brand name — a middle ground between fully branded and fully generic questions.
What does it mean if my score is 0 on a question?
It means AI hasn't named your brand in any recent checks for that specific question — a strong signal that content targeting that topic is missing or insufficient.
What's the difference between "Named, not cited" and "Read, not credited"?
"Named, not cited" means AI mentions your brand but doesn't reference your site. "Read, not credited" is the reverse — your site was used as a source, but your brand wasn't actually named in the final answer.
Why does an engine need a "retry"?
Some AI platforms occasionally fail to respond on the first attempt. AEOTrack automatically retries so your score still reflects the full panel of engines rather than a partial result.
How do I add new questions to track?
Use "Add questions" to submit your own, or "Suggest questions" to have AI recommend relevant prompts for your site.
What should I do with a declining-trend question?
Investigate what changed — a competitor may have published new content, or an AI model's underlying answer may have simply shifted. Consider updating or expanding your own relevant page.
Conclusion
If the main AEOTrack dashboard is your bird's-eye view, the Prompts page is where the real work happens. It shows you, question by question, exactly where you stand — and exactly where the highest-value content opportunities are hiding. Make it a habit to review your lowest-scoring and declining-trend questions regularly, expand your tracked pool as your category evolves, and use the "Recheck" option to confirm your content updates are actually moving the needle.