October 27, 2026
A Complete Guide to the AEOTrack Benchmarks Page: Track Your Questions and Topics Scores and Share of Voice Over Time
Introduction
Optimizing your website for AI search engines requires watching how your performance moves over time, not just looking at a single day's snapshot. Are your content updates earning more AI quotes? Is your presence in the engines' broader topic overviews expanding or shrinking? And how does your real share of voice split against competitors when all collected AI answers are tallied up?
The AEOTrack Benchmarks page (found under Competitors → Benchmarks in the sidebar) provides the answers. It displays your historical Questions score and Topics score trends alongside a clear share-of-voice breakdown based on real, collected AI responses — with no fabricated curves or artificial estimates.
This guide walks through every card, chart, and metric on the Benchmarks page, using a fictional example company, Acme Coffee Roasters (acmecoffee.example), competing against fictional rivals Harbor Beans, Northwind Roasters, Bluebird Coffee and Ridgeline Coffee.
What Is the AEOTrack Benchmarks Page?
The Benchmarks page is your long-term performance and comparative tracking hub inside AEOTrack. Where the Share of Voice page focuses on head-to-head competitor matchups and question breakdowns, Benchmarks focuses on overall historical trajectories and real percentage splits.
It helps you answer core questions like:
- How are my Questions score and Topics score moving over time?
- Are recent content or technical changes actually driving measurable score improvements?
- What percentage of total collected AI responses name my brand versus competitors right now?
- How many total AI answers have been analyzed to compute my share of voice?
Your Questions and Topics Scores
At the top of the Benchmarks page, two primary score cards highlight your current standing and recent movement across two distinct AI visibility dimensions. (On screens not yet relabelled, the cards are titled Answer Engine Visibility (AEO Score) and AI Overview Presence (GEO Score).)
Questions Score
What it means: Your AI visibility score (out of 100). Each answer from ChatGPT, Gemini, Claude, Perplexity and Grok scores 25 plus up to 75 when it names you, for how prominently you are named, whether your own site is cited and the tone, 22.5 when it only lists your own site as a source, and 0 otherwise; the headline is the recency-weighted average over your tracked questions, with advice-only questions left out. See How the score works.
Example: Acme Coffee Roasters shows a Questions score of 38/100, up 5.2 points since the last check.
Why it matters: This tells you whether conversational AI models actively consider your brand a trusted reference when generating direct answers for prospective buyers.
Topics Score
What it means: A score (out of 100), built the same way, over your tracked topics: how often and how prominently the same engines include you when they write a broader overview of a subject. Google's AI Overviews are not part of it.
Example: Acme Coffee Roasters shows a Topics score of 34/100, up 0.5 points since the last check.
Why it matters: Topic overviews are where buyers who are still learning about a category first meet the brands in it.
Score Trend Chart
Directly below the score cards, AEOTrack displays a Score trend chart plotting your historical Questions and Topics scores day by day.
What the chart shows
- X-axis: Check-in dates across your tracking history (e.g., 04/08/2026, 18/09/2026, 29/09/2026).
- Y-axis: Score scale from 0 to 100.
- Blue line (Questions score): recorded at the end of each check day.
- Orange line (Topics score): recorded at the end of each check day.
Example (fictional): Acme Coffee Roasters' chart runs from 04/08/2026 to 29/09/2026. The blue Questions line starts under 10 and climbs to 38. The orange Topics line mostly moves with it, from about 4 to 34, apart from a one-day jump to about 51 on 14/09/2026 that fell back by the next check.
How to interpret it
- Real history, never a fabricated curve: Every data point on the chart represents the actual score calculated on days you ran checks — there are no smoothed or estimated placeholder values.
- Parallel vs. divergent movement: If your Questions and Topics scores move together, whatever changed is affecting both kinds of answer. If one rises while the other falls, the engines are treating buying questions and topic overviews differently, often because they read different sources for each.
The AEOTrack Benchmarks top section, showing the Questions and Topics scores with historical trend lines.
You vs. Competitors: Share of Voice, Right Now
The lower section of the Benchmarks page, titled "You vs. competitors," presents a clear, data-backed summary of brand mention distribution across your entire tracked category.
What it measures
This section calculates the exact percentage split of brand mentions across all AI responses collected so far for your account.
Key elements:
- Donut Chart: A visual breakdown showing your brand's percentage share of voice (e.g., 20% for Acme Coffee Roasters, from 183 of 520 total checks/responses).
- Total Responses Analyzed: A transparent note displaying the total sample size (e.g., "Based on 520 AI responses collected so far — how often each name comes up, split out of 100%").
- Ranked Competitor Table: A clean list of all tracked brands, ordered by their share of voice percentage and raw mention counts:
| Brand | Share of Voice | Mention Count |
|---|---|---|
| Harbor Beans | 22% | 209 / 520 |
| Northwind Roasters | 21% | 197 / 520 |
| Bluebird Coffee | 21% | 194 / 520 |
| Acme Coffee Roasters (You) | 20% | 183 / 520 |
| Ridgeline Coffee | 16% | 149 / 520 |
How to interpret it
In this fictional example, the field is close: leader Harbor Beans holds 22% of all brand mentions, and Acme Coffee Roasters is fourth with 20%. Knowing the exact response count (183/520) gives you an empirical baseline to measure future growth against. Acme needs 26 more answers naming it to draw level with Harbor Beans' 209.
The AEOTrack Benchmarks competitor section, showing current share-of-voice donut chart and ranked competitor list.
How to Read the Benchmarks Page: Step-by-Step
- Review your current Questions and Topics scores — check the top cards for your baseline numbers and recent point changes.
- Examine the Score Trend chart — determine whether your visibility is trending upward, holding steady, or declining over multi-day check windows.
- Compare Questions vs. Topics movement — note whether buying questions or topic overviews offer your strongest presence.
- Check the total response count — confirm the number of analyzed AI answers backing your share-of-voice data.
- Analyze the Share of Voice leaderboard — compare your share percentage and mention count directly against leading competitors.
- Set measurable growth targets — aim to increase your mention count and share of voice percentage on your next scheduled check.
Frequently Asked Questions
What's the difference between the Questions score and the Topics score on the Benchmarks page?
Both are measured on the same AI engines. The Questions score is built from your tracked questions (specific things a buyer asks); the Topics score is built from your tracked topics (broader subjects the engines write an overview of). A brand can be strong on one and weak on the other.
Why does the score trend chart only show points on specific dates?
AEOTrack records scores only on days when checks are executed, ensuring your trend line reflects real empirical history rather than interpolated guesses.
How is "Share of voice, right now" calculated?
It calculates the percentage of total brand mentions earned by each tracked brand out of all AI responses collected across your account.
What does the fraction next to each competitor mean (e.g., 183/520)?
The numerator is the number of AI responses that mentioned that brand; the denominator is the total number of AI responses analyzed across all checks.
Conclusion
The Benchmarks page gives you the long-term context needed to evaluate your AI visibility strategy. By tracking real Questions and Topics score trends alongside an exact share-of-voice breakdown, you can see whether your optimization efforts are translating into measurable, lasting gains against competitors.