A Complete Guide to the AEOTrack Dashboard: Understand and Improve Your AI Visibility

Introduction

Search behavior is changing. Instead of typing a query into Google and scrolling through ten blue links, more and more people are simply asking an AI — ChatGPT, Claude, Gemini, Grok, or Perplexity — for a direct answer. When someone asks "what's a good project management tool for startups?" or "which analytics platforms do marketers recommend?", an AI model generates an answer on the spot, often naming specific brands.

This shift has created a new discipline: Answer Engine Optimization (AEO), sometimes also called Generative Engine Optimization (GEO). Instead of optimizing purely for search engine rankings, AEO focuses on a different question: when an AI is asked a relevant question, does it mention your brand, and does it cite your website as a source?

AEOTrack is a platform built to help you answer that question with data instead of guesswork. It regularly asks AI models a set of real, relevant questions related to your industry and records whether your brand is named, how it's positioned relative to competitors, and whether your website is cited as a source behind the answer.

The AEOTrack Dashboard is where all of this comes together. It's the home base you'll return to again and again to check your AI visibility, see how it's trending, compare yourself with competitors, and figure out exactly what to fix next.

This guide is written for someone who has never opened AEOTrack before. By the end, you'll understand every major card, chart, and section on the dashboard — what it measures, how to read it, and what to actually do with the information.

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What Is the AEOTrack Dashboard?

The AEOTrack Dashboard is the central control panel for monitoring your brand's presence inside AI-generated answers. Rather than tracking where your website ranks on a search results page, it tracks something more specific to the AI era: whether AI models name your brand when someone asks a relevant question, and whether they cite your website as the source behind that answer.

The dashboard is designed to help you answer questions like:

• How visible is my brand in AI-generated answers right now?
• How often is my brand mentioned compared with competitors?
• Which AI platforms mention my brand, and which ones don't?
• Is my visibility improving or declining over time?
• Which specific questions ("prompts") is my brand winning or losing?
• Where should I focus my next piece of content or website update?

Instead of a single vague "AI score," AEOTrack breaks visibility down into distinct, actionable pieces — so you always know not just how you're doing, but why, and what to do about it.

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Dashboard Overview

When you land on the AEOTrack dashboard, the top of the page presents a row of summary metric cards. These give you an at-a-glance snapshot of your current standing before you dig into any details.

Below the summary cards, the dashboard is organized into a few key zones:

1. Top metric cards — quick-glance scores for AI visibility, GEO performance, site readiness, and share of voice.
2. "Where you rank" — a competitor leaderboard showing exactly how you stack up against other tracked brands.
3. "Engine by engine" — a breakdown of how each individual AI platform (ChatGPT, Claude, Gemini, etc.) treats your brand.
4. "Visibility over time" — a trend chart showing how your score has moved across your tracked check-ins.
5. "What to work on" — a prioritized action list telling you exactly which improvements will move the needle most.

Each of these sections is explained in detail below, using a fictional example company — Acme Analytics, an AI-powered analytics SaaS platform — competing against fictional rivals NovaCRM, BrightCloud, PixelFlow, and DataNest.

The AEOTrack dashboard overview, showing top-line visibility metrics and the competitor ranking table.

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Explain Every Dashboard Metric

The top row of the dashboard displays five key summary metrics. Here's what each one means.

AI Visibility Score

What it means: This is your overall composite score, out of 100, representing how visible your brand is across the AI questions AEOTrack tracks for you. It combines how often you're mentioned, how often you're cited, and how consistently that happens across different AI platforms.

Example: Imagine Acme Analytics has an AI Visibility score of 12/100, down 1.4 points since the last check.

How to interpret it: A low score (under 20–30) generally means AI models rarely name your brand when relevant questions are asked. A rising score suggests your visibility is improving; a falling score suggests you're losing ground — either because competitors are being mentioned more, or because AI models simply aren't finding enough about you to reference.

Why it matters: This is the headline number for your AEO performance. It's the fastest way to know, at a glance, whether your AI visibility strategy is working.

What you should do: Don't obsess over small day-to-day movements in isolation — check the trend over several checks first (see "Visibility Over Time" below) before drawing conclusions.

Non-Branded Score

What it means: This measures your visibility specifically on non-branded questions — questions where the user doesn't already know your brand name and is asking a general, category-level question (e.g., "what's a good analytics tool for e-commerce brands?" rather than "tell me about Acme Analytics").

Example: Acme Analytics scores 10/100 on non-branded visibility.

How to interpret it: A low non-branded score means that when potential customers ask AI general questions about your category, your brand isn't coming up — even if people who already know your name can find information about you elsewhere. This is often the hardest, and most valuable, type of visibility to earn.

Why it matters: Non-branded visibility is where new customer discovery happens. If AI never surfaces your brand for category questions, you're invisible to people who don't already know you exist.

What you should do: Focus content efforts on answering the general category questions your prospective customers are likely asking, not just questions about your own product.

GEO Score

What it means: This tracks your visibility in Generative Engine Optimization contexts — the broader topic overviews the same AI engines write when asked about a subject rather than a specific buying question. It is measured over your tracked GEO topics across ChatGPT, Gemini, Claude, Perplexity and Grok; Google's AI Overviews are not part of it.

Example: Acme Analytics has a GEO score of 15/100.

How to interpret it: This score can move independently of your standalone AI-assistant visibility, since generative search summaries pull from different signals than a chat-based AI model.

Why it matters: Because generative search summaries appear directly inside familiar search engines, they can be seen by a very large volume of everyday searchers — even people who never use a dedicated AI chatbot.

What you should do: If your GEO score lags behind your standalone AI visibility, look at how well your existing SEO-optimized content already answers common questions clearly and directly, since generative search summaries often lean on well-structured, authoritative web content.

Site Readiness Score

What it means: This score evaluates how "AI-crawlable" and citation-friendly your actual website is — things like whether your content is structured clearly, whether pages have enough substantive detail, and whether AI systems can easily extract accurate information from your site.

Example: Acme Analytics scores 92/100 on site readiness.

How to interpret it: A high site readiness score (like 92/100) means the technical and structural groundwork is solid — your site itself isn't the bottleneck. A low score would suggest technical or content-depth issues are actively preventing AI systems from reading and citing your pages.

Why it matters: A well-optimized, easy-to-crawl site is the foundation that makes everything else possible. Even great content can go unnoticed if AI systems struggle to parse or trust the page it lives on.

What you should do: If site readiness is already high, know that your visibility gap is unlikely to be a technical problem — it's more likely about topical coverage, content depth, or the fact that AI simply doesn't have enough reason yet to cite you over competitors.

Share of Voice

What it means: Share of voice shows what percentage of all brand mentions (across your tracked competitors, combined) belong to you, and your numeric rank among those competitors.

Example: Acme Analytics holds a 12% share of voice, ranking #3 out of 6 tracked brands.

How to interpret it: If a leading competitor is mentioned four times more often than you, that tells you exactly how large the visibility gap is in relative terms — not just in the abstract.

Why it matters: Share of voice puts your visibility score into competitive context. A visibility score alone doesn't tell you if you're behind an entire industry or ahead of it — share of voice does.

What you should do: Use the leaderboard beneath this metric (see "Where You Rank," below) to see exactly which competitors are outperforming you and by how much.

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"Where You Rank": Competitor Leaderboard

Directly beneath the top metric cards, AEOTrack displays a "Where you rank" panel — a straightforward leaderboard of every brand it's tracking for your account, ranked by number of mentions and share of voice.

What it is

A ranked table listing each tracked brand (including yours), the total number of times each was mentioned across all monitored AI answers, and the resulting share-of-voice percentage.

What it measures

Raw mention volume and relative share of voice, side by side, for every competitor in your tracked set.

Why it matters

This table answers a simple but important question: "Compared to who, exactly, am I behind — or ahead of?" It transforms an abstract score into a concrete competitive picture.

How to interpret it

Example table (fictional data):

In this fictional example, Acme Analytics sits in third place — mentioned far less often than the category leader (NovaCRM), but ahead of two smaller competitors.

What action to take

If a single competitor dominates share of voice, investigate what content or positioning is likely earning them that volume of mentions — then look for the specific prompts/questions where they're winning and you're not (see the "Prompt Analysis" and "What to Work On" sections below).

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AI Platform / Model Performance ("Engine by Engine")

Next to the leaderboard, AEOTrack shows an "Engine by engine" panel — a breakdown of your visibility performance separated out by individual AI platform.

What it is

A row-by-row list of AI platforms (for example, ChatGPT, Claude, Gemini, Grok, and Perplexity), showing how often each platform named your brand and what rank you held on that specific engine, based on a large sample of AI answers gathered over time.

What it measures

Platform-specific visibility. Rather than a single blended score, this shows exactly which AI systems know about and cite your brand — and which ones essentially don't.

Why it matters

Visibility can vary dramatically from one AI platform to another. Each AI system has its own training data, its own approach to web browsing and citation, and its own audience. A brand that performs strongly on one platform may be almost invisible on another.

Example (fictional data):

In this fictional example, Acme Analytics performs relatively well on ChatGPT but is essentially invisible on the other four platforms — even though some of those platforms' underlying systems did read pages from Acme's website ("read 13×, not named" means the site's content was accessed as a source but the AI still didn't name the brand in its final answer).

How to interpret it

A "read, not named" label is a useful diagnostic: it tells you AI systems are aware your content exists and are pulling it in as a potential source, but aren't yet confident enough — or don't see clear enough signals — to actually recommend your brand by name. This is different from a platform that never reads your site at all.

What action to take

Prioritize investigating platforms where you're being "read but not named" — this is often the fastest visibility win, since the content discovery step is already happening. Compare what competitors are doing on those specific platforms to understand the gap.

Avoid drawing conclusions about why a specific AI platform behaves the way it does — the internal ranking or selection logic of any given AI model isn't publicly documented, so it's best to treat these differences as observed patterns to investigate rather than confirmed technical explanations.

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Visibility Over Time

The "Visibility over time" chart tracks how your AI Visibility Score has moved across your tracked check-ins.

What the chart shows

• X-axis: Dates of each AEOTrack check, spanning your selected window.
• Y-axis: Your AI Visibility Score (0–100) at each check.
• Line: Your score plotted across each check-in date.
• Shaded band: A confidence range around each measurement. Because AI models can give slightly different answers to the same question from one run to the next, a single check carries some natural variability. A movement that stays within the shaded band should be read as statistical noise rather than a confirmed trend.

The AEOTrack visibility trend chart, showing score movement over time alongside a summary of what changed.

Example (fictional data): Imagine Acme Analytics ran three checks over a nine-day window, and its score moved from roughly 17 down to about 11 — a change the dashboard itself flags as "within noise," meaning it's not yet a confirmed decline.

What each element means for you

• A line trending clearly upward, outside the shaded band, indicates a real, meaningful improvement in visibility.
• A line trending downward, outside the shaded band, indicates a real decline worth investigating.
• Movement that stays inside the shaded band is most likely random variation between AI answer runs, not a genuine change.

"What Changed" Panel

Next to the trend chart, AEOTrack includes a "What changed" panel that summarizes specific shifts since your first check in the selected window — for example:

• A certain number of prompts that newly became a "stronghold" (where you're now consistently named and cited).
• Prompts that are now being read by AI but still not resulting in a mention.
• Prompts where you used to be mentioned but are no longer cited.
• Prompts where you remain completely invisible.

Example (fictional data): "1 prompt became a stronghold. 1 prompt is now read but not mentioned. 2 prompts dropped from mentioned-but-not-cited. 6 prompts remain invisible."

How to use this section

• Use a short window (a handful of days) to catch sudden, recent shifts — useful right after a content or site change.
• Use a longer historical window to evaluate whether a strategy is working over weeks or months, filtering out day-to-day noise.
• Always check whether a change falls inside or outside the shaded confidence band before treating it as a real trend.

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Citations vs. Mentions: "Where to Spend Your Effort"

One of the most practically useful sections on the AEOTrack dashboard is the "Where to spend your effort" panel, which cross-tabulates two related but distinct concepts: being mentioned by an AI, and being cited as a source.

What a mention is

A mention means an AI model named your brand somewhere in its answer to a question.

What a citation is

A citation means the AI model referenced your actual website as a source it drew information from — sometimes with a visible link, sometimes just as an underlying reference.

Why the difference matters

Being mentioned and being cited are not the same thing, and the gap between them tells you very different things:

• "Stronghold" — AI both names you and cites your website. This is your strongest position; the goal is to defend it.
• "Visible, not cited" — AI recommends your brand, likely from its own training knowledge, but doesn't link to your site as a source. This can be a fragile kind of visibility, since it isn't reinforced by your own web content.
• "Cited, not visible" — AI reads your page as a source but stops short of naming your brand in its final answer. This usually signals a content or positioning issue rather than a discovery issue.
• "Needs attention" — Neither named nor cited. You're effectively invisible on this specific question.

Example (fictional data): Acme Analytics might have 4 "stronghold" prompts, 2 "visible, not cited," 1 "cited, not visible," and 12 "needs attention" — out of 19 tracked questions.

What action to take

• For "cited, not visible" prompts, review the page AI is reading — it may lack a clear, direct statement of what your product does and why it's relevant to the question.
• For "visible, not cited" prompts, make sure you have a strong, citable page that directly and clearly answers that specific question, so future citations reinforce the mention.
• For "needs attention" prompts, this is where new content creation should usually start, since there's currently no visibility at all to build on.

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Prompt / Query Analysis

AEOTrack tracks visibility on a set of specific prompts — real, relevant questions that a prospective customer might plausibly ask an AI system.

What a prompt is

A prompt is simply one of the tracked questions used to test your visibility — for example, a fictional prompt like "What are the best AI-powered analytics tools for small businesses?" or "How do I track AI mentions of my brand across ChatGPT and Gemini?"

Why prompts matter

Prompts represent the real language customers actually use when they ask AI for recommendations. Tracking visibility at the prompt level — rather than just an aggregate score — shows you exactly which questions you're winning, and which ones you're losing, and to whom.

How to identify weak-performing prompts

The dashboard highlights specific prompts where a competitor is named but you are not. For example, AEOTrack might flag: "There are 7 questions where AI names a competitor but never names you," along with the actual prompt text and which competitor(s) were named instead.

Example (fictional data): For the prompt "alternatives to manual AEO tracking methods," AI might name NovaCRM and BrightCloud, but never Acme Analytics.

How to prioritize prompt improvements

Not all prompts carry equal weight. AEOTrack ranks recommended actions by their expected effect on your overall score, so you can focus on the highest-impact opportunities first rather than working through every gap in no particular order.

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"What to Work On": The Action List

At the bottom of the dashboard, AEOTrack surfaces a prioritized "What to work on" list — concrete, ranked recommendations based on your current data.

What it is

A short list (with an option to view all recommended actions) of specific improvement opportunities, each labeled with an expected impact level (e.g., "High impact") and a direct link to act on it.

The AEOTrack "What to work on" action list, ranked by expected impact on AI visibility.

Example recommendation types (fictional, illustrative)

1. "Add more real detail to short pages" — flags that thin, low-detail pages give AI little to work with, and notes how many tracked competitors already have more substantive pages.
2. "Answer a question your competitors are already winning" — surfaces specific prompts where a rival brand is named but you aren't, so you can create content that directly addresses that exact question.
3. "Get onto the sources AI reads to answer your questions" — highlights prompts where your brand is never named across a set of tracked questions, indicating a content or authority gap AI hasn't yet found a reason to fill with your brand.

How to interpret it

Each item is ranked by expected effect on your overall AI Visibility Score — so item #1 typically represents your single best return on effort, not just an arbitrary starting point.

What action to take

Work through the list from top to bottom. After making a change (publishing new content, expanding a thin page, adding structured detail), monitor the "Visibility over time" chart and the "What changed" panel on your next check to see whether the action produced a measurable, outside-the-noise-band shift.

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How to Read the Dashboard: Step-by-Step

Here's a practical workflow for reviewing your AEOTrack dashboard each time you check in:

1. Check your overall AI Visibility Score — Get the current top-line number and note whether it moved since your last visit.
2. Review the trend chart — Look at "Visibility over time" and determine whether any movement is a real trend or falls within the noise band.
3. Check your share of voice and ranking — See the "Where you rank" table to understand your competitive position in concrete terms.
4. Review engine-by-engine performance — Identify which AI platforms know about you and which ones don't, and note any "read, not named" opportunities.
5. Analyze mentions vs. citations — Use the "Where to spend your effort" panel to see how many prompts are strongholds versus needing attention.
6. Investigate specific prompts — Look at which individual questions you're losing, and to which competitors.
7. Review the ranked action list — Open "What to work on" and start with the highest-impact recommendation.
8. Take action and re-check — Make the recommended change, then return on your next scheduled check to measure the effect.

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Example: Understanding a Fictional Dashboard

Let's walk through a complete fictional scenario using Acme Analytics.

Acme Analytics logs into its AEOTrack dashboard and sees:

• AI Visibility Score: 12/100, down slightly from the prior check
• Share of voice: 12%, ranked #3 of 6 tracked brands
• Engine breakdown: Strong performance on ChatGPT (49% named), but 0% named on Claude, Gemini, Grok, and Perplexity — despite being read by two of those platforms
• Trend chart: A modest downward slope, but the dashboard labels it as within the confidence band — not yet a confirmed decline
• Mentions vs. citations: 4 stronghold prompts, 2 visible-but-not-cited, 1 cited-but-not-visible, and 12 needing attention
• Top action: "Add more real detail to short pages," flagged as high impact, noting that most tracked competitors already have more substantive pages

Interpretation: Acme Analytics has a foothold on one major AI platform (ChatGPT) but is essentially absent everywhere else. The site itself is technically solid (a 92/100 site readiness score, per the earlier example), so the gap isn't technical — it's about content depth and topical coverage. The clearest next step is the top-ranked action: expanding thin pages with more substantive, directly useful detail, starting with the prompts where competitors are already winning.

(All figures above are illustrative examples only and do not represent real AEOTrack customer data.)

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How to Use Dashboard Insights to Improve AI Visibility

Once you've identified gaps using the dashboard, here are general categories of improvement to consider:

• Create genuinely detailed, useful content. Thin pages with only a sentence or two typically give AI little to work with.
• Directly answer the specific questions your prompts represent. If a tracked prompt asks "what's the best tool for X," make sure a page on your site clearly and directly answers that exact question.
• Build clear, unambiguous entity information. Make it easy for AI (and readers) to understand exactly what your product does and who it's for.
• Address competitor content gaps. Where a competitor is named on a prompt and you aren't, look at what they've published that you haven't.
• Strengthen underperforming pages. Prioritize the highest-impact recommendations from the "What to work on" list first.
• Build third-party authority. Mentions and citations from other reputable sources can also influence whether AI models trust and reference your brand.
• Monitor consistently. AI visibility shifts gradually — regular check-ins matter more than any single measurement.

No individual tactic guarantees that an AI platform will mention your brand; these are directional best practices based on the kinds of gaps the dashboard identifies, not guarantees of outcome.

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Common Dashboard Scenarios

Scenario 1: Visibility is increasing
Identify which specific prompts or platforms are driving the improvement, and continue reinforcing that content so the gain holds.

Scenario 2: Visibility suddenly drops
Check the "What changed" panel first to see which specific prompts moved, and confirm the drop is outside the noise band before making major changes.

Scenario 3: Mentions increase but citations decrease
This can mean AI is starting to recognize your brand generally, but is relying on general knowledge rather than your own website — strengthen the specific pages relevant to those prompts.

Scenario 4: Competitors consistently outperform you
Use the "Where you rank" and prompt-level views to identify exactly which questions they're winning, then prioritize matching or exceeding that content.

Scenario 5: Strong website traffic but weak AI visibility
Traditional search performance and AI visibility are measured differently and don't always move together — a page can rank well in conventional search while still not being cited or named by an AI model.

Scenario 6: One AI platform performs much better than another
Focus on platforms where you're being read but not named, since discovery is already happening there — and avoid assuming specific reasons for the gap without more investigation, since each platform's internal selection process isn't publicly documented.

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Dashboard Best Practices

• Monitor trends over multiple checks rather than reacting to a single data point.
• Compare consistent time windows when evaluating progress.
• Pay attention to the confidence band before calling something a "real" change.
• Track specific prompts you care about, not just the aggregate score.
• Review competitor movement regularly, not just your own numbers.
• Look at mentions and citations together, not in isolation.
• Prioritize actions using the ranked "What to work on" list rather than guessing.
• Treat the dashboard as an ongoing monitoring tool, not a one-time report.

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Frequently Asked Questions

What is the AEOTrack Dashboard?
It's the central monitoring hub where you can see how visible your brand is in AI-generated answers, how that compares to competitors, and what to improve next.

What does AI visibility mean?
It refers to how often and how prominently AI models mention and cite your brand when answering questions relevant to your industry.

What is an AI brand mention?
A mention is any instance where an AI model names your brand in its response to a tracked question.

What's the difference between a mention and a citation?
A mention means your brand was named. A citation means the AI referenced your actual website as a source behind that answer. You can have one without the other.

What does "share of voice" mean?
It's the percentage of total mentions (across all tracked competitors) that belong to your brand, along with your rank among them.

Why is my visibility different across AI platforms?
Each AI system has different training data and different approaches to sourcing and citing information, so visibility can vary meaningfully from one platform to another.

Why did my visibility score change?
Check the "What changed" panel and the shaded confidence band on the trend chart — some movement is normal variability rather than a confirmed shift.

How often should I check the dashboard?
Regularly enough to catch real trends, but frequently checking small day-to-day movements is less useful than reviewing broader trends across several checks.

How should I compare my brand with competitors?
Use the "Where you rank" leaderboard for overall standing, and the engine-by-engine and prompt-level views for more specific comparisons.

What should I do if competitors have stronger AI visibility?
Identify the specific prompts they're winning, review what content or positioning may be helping them, and prioritize the highest-impact recommendations in your own "What to work on" list.

What does "site readiness" measure?
It reflects how well-structured and easy to reference your website is for AI systems — separate from whether AI actually chooses to mention or cite you.

What is a "stronghold" prompt?
A tracked question where AI both names your brand and cites your website — your strongest, most defensible position.

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Conclusion

The AEOTrack Dashboard isn't meant to be a one-time scorecard — it's an ongoing monitoring and decision-making tool. AI visibility shifts gradually, shaped by content, site structure, and how each AI platform discovers and evaluates information over time.

To get the most out of it:

1. Monitor your overall visibility regularly.
2. Understand trends rather than reacting to single data points.
3. Review mentions and citations together, not in isolation.
4. Compare yourself against tracked competitors.
5. Investigate specific prompts where you're losing ground.
6. Identify concrete content opportunities.
7. Track improvement over time, one check at a time.

If you're ready to see exactly where your brand stands in AI-generated answers, log in to your AEOTrack dashboard and start with the "What to work on" panel — it's built to show you the single highest-impact next step, every time.