New in Content Ops: AI Visibility Dashboard
Mahdin M Zahere · May 2026
AI Visibility Dashboard is a new feature inside Surface that tracks how often AI models mention your brand when buyers ask questions in your category. It benchmarks you against competitors across ChatGPT, Gemini, Claude, and Copilot, and shows you where the gaps are.
Built for marketing and content teams who need to know whether AI is recommending them or their competitors.
Why this matters now
Buyers are starting their research inside AI assistants. They type "what's the best tool for lead scoring" into ChatGPT or ask Claude "which platforms help with inbound form routing," and they get a list of recommendations. If your brand is on that list, you're in the conversation. If it's not, you're not.
With Google, you can check your rankings and see position 1 through 10. With AI search, the answer is generated fresh every time. There's no static ranking to track. You can manually ask ChatGPT about your brand and get one data point, but that doesn't scale and the responses vary by session.
The tools that exist for tracking AI visibility today give you surface-level mention counts. What they don't give you is the context that actually drives decisions: which specific prompts you're winning or losing on, how your visibility differs across individual models, how your competitor gaps are trending over time, and what content is actually moving the needle.
That's what AI Visibility Dashboard is built to do.
How it works
Setup takes a few minutes. You add your brand, add the competitors you want to benchmark against, and write the prompts you want to monitor. These should be the questions your buyers would actually type into an AI assistant when evaluating tools in your space.
Surface monitors how ChatGPT, Gemini, Claude, and Copilot respond to those prompts on an ongoing basis. Every mention of your brand or a competitor's brand is tracked, scored, and visualized in the dashboard.
Here's what you see:
| What's in the dashboard | What it tells you |
|---|---|
| Visibility Score | Your overall share-of-voice across all tracked AI models as a percentage |
| Content Coverage | How much of your category's topic space your content actually covers |
| Total Mentions | How many times AI models referenced you across all tracked prompts |
| Competitor Rankings | Your visibility vs every competitor you're tracking, side by side |
| Brand Visibility Chart | Your share-of-voice over time, plotted against competitors week by week |
| Per-Model Breakdown | How you perform on ChatGPT vs Gemini vs Claude vs Copilot individually |
| Tracked Prompts | Every prompt you're monitoring, with your presence status on each one |
Two things tend to surprise people when they first see their data. The first is that visibility varies wildly across models. You might be well represented in Gemini but nearly invisible in ChatGPT. Knowing that changes where you focus your content efforts. The second is the competitor gap. Most teams assume they're roughly in line with their competition. The data usually shows a bigger spread than expected.
What you actually do with this
The visibility data becomes a direct input into your content strategy. If the dashboard shows that ChatGPT never mentions you when someone asks about lead scoring, that's not an abstract metric. That's a gap you can close with a specific piece of content targeting that topic.
Same thing with competitor gaps. If a competitor has 40% visibility and you're sitting at 15%, the dashboard tells you exactly which prompts they're winning on so you know where to focus.
| What you learn | What you do about it |
|---|---|
| "ChatGPT never mentions us for lead scoring" | Write content specifically targeting that gap |
| "We're strong on Gemini but invisible in ChatGPT" | Investigate what ChatGPT surfaces and adjust |
| "Competitor X has 40% visibility, we have 15%" | Prioritize closing the gap on their strongest prompts |
| "Visibility jumped 20% after last month's blog push" | Double down on the content approach that worked |
| "We're losing ground on 3 prompts this month" | Diagnose why and course correct before it compounds |
The feedback loop is what makes this valuable over time. After a few weeks of tracking, you start to see which content investments actually move the needle in AI search and which ones don't. Most marketing teams are making content decisions without this data. The ones using the AI Visibility Dashboard aren't guessing anymore.
Getting started
AI Visibility Dashboard is available now on Surface. Add your brand, your competitors, and the prompts you care about. You'll have visibility data within minutes.
If you want to see it loaded up with your own brand and competitors, book a demo and we'll run a live analysis on the call.
