AI visibility data does not, and should not, exist in a vacuum. Teams naturally want to compare it with SEO performance, add it to client dashboards and reports, trigger alerts based on it, and analyse it alongside their other marketing data.
Today, we’re making that much easier with the launch of the Surfacd public API.
The API gives Surfacd customers programmatic access to the same intelligence they use within the platform, including brand rankings, visibility over time, mentions, and source data, as well as the ability to manage projects and prompts programmatically.
Take Surfacd beyond the dashboard
The Surfacd dashboard remains the easiest way to explore AI visibility, investigate changes and understand what is shaping your position.
The API is for when you want that data elsewhere.
That might mean:
Feeding weekly AI visibility metrics into your existing BI dashboard
Adding Surfacd data to automated client reporting
Tracking AI visibility alongside organic search, brand demand and pipeline metrics
Posting a weekly visibility summary into an internal Slack channel
Creating an alert when a competitor enters a priority prompt
Building your own internal analysis around rankings, mentions or cited sources.
Managing large prompt sets and projects without doing everything manually through the interface.
The goal is to make AI visibility intelligence part of the systems your team already relies on.
Build reporting around the questions your business actually asks
Every organisation reports differently.
An agency managing 30 clients has very different requirements from an enterprise marketing team tracking three markets, and both are different again from an SEO team running deeper analysis across hundreds of prompts.
A public API gives those teams room to build around their own requirements.
For one team, the key metric might be brand visibility relative to three competitors. For another, the sources could be gaining influence within a particular category, or there could be movement across a defined group of commercially important prompts.
Instead of reshaping your reporting around another platform, you can now integrate Surfacd data into your own.
Making AI visibility part of the wider measurement picture
AI search is becoming another meaningful layer of brand discovery and consideration. That means the interesting questions increasingly sit across datasets.
Does increased earned media coverage correlate with stronger AI visibility?
Did a major content programme improve recommendation frequency?
Are we gaining traditional organic visibility while losing ground inside AI answers?
Is one market behaving differently from another?
Those are much easier questions to investigate when AI visibility data can sit alongside the rest of your measurement stack, and Surfacd’s API makes that possible.
Automate the repetitive bits
There is also a less glamorous, potentially very valuable advantage, because nobody needs another Monday morning export-and-reupload process.
If a report needs the same Surfacd metrics every week, automate it. If a dashboard needs to be refreshed every night, automate it. If you want to know when a competitor suddenly appears in response to a critical prompt, set up the alert once rather than remembering to check every morning.
The API turns Surfacd from another destination in your reporting workflow into a source your workflow can call automatically.
Get Surfacd
The Surfacd public API is now available, with documentation to help teams authenticate, retrieve their data, and start building.
Whether you want one automated report or an entirely custom AI visibility intelligence layer, the data is yours to work with.
Measure how your brand appears across AI search, then put that intelligence wherever your organisation needs it.
