greg

As discovery shifts from search results to AI answers, here's how we help partners earn AI visibility — credibly, and without compromising on privacy.

A media partner recently put words to a shift we'd been watching for a while. Evaluating a content partner, they said, used to come down to one question: can you help us reach people? Now there's a second: are you helping our brands show up inside AI-driven discovery experiences — or, as they memorably put it, helping brands “feed the machines”?

It's the right question, and it's fast becoming part of how brands evaluate everyone they work with. More and more, people begin with a question to ChatGPT, Perplexity, Gemini, Claude, or Google's AI Overviews — and the answer names just a handful of sources. The old game was ranking among ten blue links. The new game — call it AI discovery, or AI visibility — is being one of the two-to-seven sources an AI assistant cites when it answers. The bar is higher, and the brands and publishers that prepare now will own that surface as it grows.

Here's how Flipboard and Surf are built to help — and, just as importantly, how we do it responsibly.

1. We speak the language of AI discovery

Being discoverable by AI isn't the same as being crawlable by a search engine. AI systems increasingly look for content that's structured, retrievable, and explicitly described for them — and they're starting to use new, agent-oriented standards to find it.

Surf already publishes those standards in production:

• An llms.txt at surf.social — a machine-readable description of our content and capabilities, written for large language models.
• An agent discovery card (/.well-known/agent-card.json) that advertises what Surf can do to other AI agents, using emerging agent-to-agent protocols.
• A live Model Context Protocol (MCP) server at mcp.surf.social that lets assistants like Claude search our feeds, summarize content, and build feeds as a native tool — through a clean, sanctioned interface rather than scraping.

When an AI assistant goes looking for trustworthy social and news content, our front door is already open and labeled.

2. We make content structured and retrievable

AI systems cite what they can cleanly parse. Surf indexes feeds and posts as Schema.org-structured data and exposes them through natural-language retrieval, so an assistant answering a question can pull our content in a form it understands — a feed is a feed, an author is an author, a post is a post, with all the context attached. That structure is what turns “content that happens to exist on the web” into “content an AI can confidently surface and attribute.”

3. Trust is the differentiator — and it's enforced, not just stated

As AI assistants get more careful about where their answers come from, the signal they increasingly reward is source trustworthiness. This is where Flipboard's model is a genuine advantage:

• Human editors curate on top of the algorithms. Trained journalists make judgment calls machines can't.
• A vetted base of trusted publishers — AP, BBC, NPR, ProPublica, Bloomberg and many others — anchors what we surface.
• AI transparency is required, and enforced. Publishers must disclose AI-generated content, and our developer license prohibits using Flipboard content to train AI models without our permission.

“Human-vetted and transparently sourced” isn't a tagline for us — it's the architecture. And it's exactly the signal the next generation of AI discovery is learning to prize.

4. “But what about my posts?” — discovery with consent

Whenever the topic of AI and content comes up, a fair question follows: what about people who don't want their posts swept into AI experiences? It's the right question to ask, and our answer is built into how the system works — not bolted on afterward.

• Only public content is ever surfaced. Posts marked unlisted, followers-only, or direct are dropped before they reach any discovery or AI surface. If you didn't post it publicly, an assistant won't find it through us.
• We respect the visibility settings your platform gives you. Public stays public; private stays private. Your choices on Mastodon and Bluesky — including Bluesky's “logged-out visibility” setting — travel with your content.
• AI visibility is not training. Being cited live, with a link back, is fundamentally different from being absorbed into a model's weights. Our developer license forbids using our content to train AI models without permission — so this is about helping people find a post and click through to its source, not about feeding it into a training set.
• Attribution by default. When an assistant reaches our content, it's pointed back to the original — the author and the post — rather than quietly paraphrasing it away.

The result is a system designed for two audiences at once: brands and publishers who want to be found in AI-driven discovery, and people who simply want their public posts treated with respect and their private ones left alone.

5. We're building the measurement to prove it

You can't improve what you can't see. So we're standing up measurement of how Flipboard and our partners' content appears and is cited across the major AI assistants — mention frequency, citation rate, position, and share of voice against the competitive set. For marketers, this is the practical payoff: a way to understand how brand and content visibility now extend beyond traditional search into AI-driven discovery experiences — and to manage that visibility with the same rigor they bring to SEO and social today.

How we measure it matters as much as what we measure. The methods we're adopting are footprint-based: they observe our presence in AI outputs directly and don't rely on user data. We're measuring our own footprint in the AI ecosystem — not tracking people.

What this means for partners

Brands and publishers don't need to navigate this rapidly evolving landscape on their own. By partnering with Flipboard and Surf, their content lands in an environment already engineered for AI discovery — structured, agent-accessible, human-vetted, transparently sourced, and increasingly measurable — with privacy respected by design.

Internally, our own sales teams have started pointing to this work as a clear example of how Flipboard is investing, innovating, and evolving its thinking in the space — because AI discovery is going to be part of every serious media conversation from here on. We've been building for it, the right way. If you're thinking about how your brand shows up in AI-driven discovery, let's talk.