A practical walkthrough of using Surfaceable to measure and improve your brand's AI visibility across ChatGPT, Claude, Gemini, and Perplexity.
Most brands know by now that AI search matters. What they do not know is where they actually stand — which queries their brand appears in, how they compare to competitors, and whether the work they are doing to improve their AI visibility is actually working.
That measurement gap is exactly what Surfaceable is built to close. This guide walks through how to use Surfaceable to establish your baseline AI visibility, track it over time, and translate the data into prioritised actions that improve your scores.
Surfaceable tracks your brand's presence across the four major AI search platforms: ChatGPT, Claude, Gemini, and Perplexity. For each platform, it measures:
Presence Rate — the percentage of your tracked queries in which your brand is mentioned at all. This is your headline number. A presence rate of 35% means that when a potential customer asks an AI a question relevant to your category, you are mentioned roughly one in three times.
Position Score — when your brand is mentioned, how early in the response it appears. Being named first is materially more valuable than being named as an afterthought. Position score quantifies this.
Share of Voice — across your defined competitive set, what percentage of AI mentions belong to your brand. If you and three competitors collectively get mentioned 400 times in your query bank, and 120 of those are yours, your share of voice is 30%.
Sentiment Analysis — the framing when your brand is mentioned. Are AI systems describing you positively, neutrally, or with caveats?
Query Coverage — a breakdown of which specific queries you appear in and which you do not, helping you identify topic gaps.
When you first log in to Surfaceable, you will be prompted to create a project for your brand. Enter:
The category and market context helps Surfaceable generate relevant query suggestions and contextualise your results correctly.
Your query bank is the set of questions Surfaceable will ask AI systems on your behalf. This is the foundation of all your measurement — the quality and relevance of your queries determines the quality of your data.
Surfaceable will suggest queries based on your category and market, but you should also add custom queries specific to your business. Build a query bank across four types:
Category queries: Questions a potential customer would ask when first exploring your category.
Use-case queries: Questions framed around specific problems your product solves.
Comparison queries: Questions comparing your category's options.
Recommendation queries: Direct requests for recommendations.
Aim for a minimum of 50 queries in your initial bank. Larger banks (100+) provide better statistical reliability and more granular insight by query type.
Surfaceable tracks your share of voice relative to a defined competitive set. Add your primary competitors so the platform can monitor how your AI visibility compares to theirs across the same query bank.
This competitive data is often the most motivating part of an initial audit — seeing a competitor appearing in 55% of AI queries while you are at 18% creates a clear and actionable picture.
Once your project is set up, trigger your first scan. Surfaceable will run your full query bank across ChatGPT, Claude, Gemini, and Perplexity, collecting presence data, position data, and response text.
The first scan establishes your baseline. All future scans are compared against this baseline to show progress (or regression).
Surfaceable aggregates your presence rate, position score, and sentiment into a single Visibility Score from 0–100. This is your headline number for reporting and tracking progress.
A score above 70 indicates strong AI visibility in your category — your brand is being cited consistently and in favourable positions. Scores below 30 indicate significant gaps: your brand is either not appearing or appearing rarely, and competitors are taking the available mindshare.
Do not expect a high score on your first scan. Most brands are surprised to find their initial scores are lower than expected. The value of the baseline is not the number itself but what you do with it.
Your dashboard shows your metrics separately for each AI platform:
Platform breakdowns reveal asymmetries. A brand might have strong Perplexity visibility (high presence rate, top position) but weak ChatGPT visibility (low presence rate, inconsistent position). This asymmetry guides your optimisation focus: if Perplexity is strong, your content structure and Bing rankings are working. If ChatGPT is weak, your third-party editorial coverage may be the gap.
The Query Coverage report shows, for each query in your bank, whether you appeared and in what position across each platform. Sort by "not appearing" to identify your blind spots.
Look for patterns in the queries where you do not appear:
These patterns point to specific content and entity-building gaps that you can address.
The competitor view shows share of voice charts for each competitor in your defined set, broken down by platform and query type. This answers:
Competitive analysis monthly gives you early warning of competitors building AI visibility momentum before it becomes a larger problem to close.
The dashboard tells you where you stand. The harder work is deciding what to do about it.
If you are appearing in fewer than 20% of queries across most platforms, the issue is foundational:
If you are appearing but consistently in positions 3-5 rather than 1-2:
If one platform is significantly weaker than others:
Use Surfaceable's trend data to set quarterly targets:
Concrete targets make AI visibility manageable as an ongoing programme rather than a vague aspiration.
Surfaceable generates exportable reports that make it straightforward to include AI visibility in regular reporting:
Include these alongside your traditional SEO metrics (organic traffic, rankings) to give stakeholders a complete picture of your search visibility across both traditional and AI channels.
The real value of Surfaceable is in the trend data that builds up over time. Set up your scan schedule:
Scans run automatically on your schedule, with results appearing in your dashboard and optional email alerts for significant changes (positive or negative).
AI visibility is now a measurable, trackable discipline — not a vague strategic concern. Surfaceable gives you the data to understand where your brand stands in AI search, how you compare to competitors, and which specific actions will move your scores.
The brands that start measuring now will build compounding advantages: they will identify and close visibility gaps before competitors do, establish trend data that proves the ROI of AEO investments, and develop the institutional knowledge to optimise their AI presence systematically.
Set up your Surfaceable project today, run your first scan, and establish your baseline. The number you see might be lower than you expect — but knowing it is the first step to improving it.
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