When someone asks an LLM a question about your category, the answer they get isn’t determined by who ranks highest. It’s determined by whose content is the most citable: direct, structured, and corroborated across multiple trusted sources.
The citation problem most brands don’t know they have
LLMs build their answers from whatever sources contain the clearest, most direct responses to the question being asked. That could be your website. But it could also be a Reddit thread from three years ago or a YouTube video your competitor published.
Most brands have no visibility into which sources are actually being cited when someone asks an AI about topics their site should be winning. They’re optimizing their on-site content while the citations shaping their AI presence are being written somewhere else entirely. The first move in any serious AI SEO strategy is fixing that. Track the prompts and relevant fan-out queries most related to the topics you want to win. See what’s being cited and gather intel on what questions are actually being asked, because that tells you where the authority currently lives and where you need to build.
Why most content isn’t built to be cited
Once you know what’s being cited, the gap in most brands’ on-site content becomes obvious. Product pages and feature pages are typically written to describe: here’s what this does, here’s why it’s good. That’s not what an LLM is looking for when it needs to answer a specific user question. It needs a direct, structured answer to a clearly defined question. This requires an entirely different strategy to satisfy.
The fix is grounded in something straightforward: find out what questions your audience is actually asking about your product, your category, and your competitors, and then answer those questions directly on your site. Not in paragraph-length brand prose, but in a format that’s easy to extract: FAQ sections on feature and product pages, structured help documentation, comparison content that addresses the specific trade-offs people ask about. The source material for those questions is everywhere: Reddit threads, sales call transcripts, customer support logs, Google’s “people also ask.” Anywhere your audience is asking in their own words is a research input.
This matters beyond just AI SEO. Content built around real user questions tends to perform better in traditional search too, because it’s doing what good SEO has always asked for: matching intent precisely and giving users what they’re looking for.
Off-site is where authority is actually won
On-site optimization gets your own content into contention. But LLM authority isn’t built from one source. It’s built from corroboration across multiple trusted ones. If Reddit, YouTube, review platforms, and industry forums are all pointing toward the same answers about your brand, that signal carries more weight than anything your own domain can produce alone.
This is where most content strategies have a blind spot. Off-site AI SEO isn’t link building. The goal isn’t to get a citation back to your site. The goal is to make sure authoritative, accurate answers about your brand exist in the places LLMs are already pulling from. For most B2B software categories, that means G2 and community forums. For most categories, Reddit and YouTube are close to universal. The specific mix varies, but the principle doesn’t: find out where your category’s citations are coming from, and make sure the content in those places reflects the story you want told.
Off-site is also where earlier-stage brands have the most to gain. Domain authority doesn’t gate who gets cited from Reddit or YouTube. A genuinely useful answer in the right community will get surfaced regardless of how old your domain is.
What this means for how you brief content
The shift AI Visibility requires isn’t a complete rebuild of your content strategy. It’s a change in the brief. Instead of starting with “what do we want to rank for,” you start with “what questions is our audience asking AI, and do we have a direct answer to each of them, on our site and off it.”
That means auditing what’s being cited, answering real questions on your site, and building a presence in the off-site channels your category is already being cited in.
Ranking is still worth pursuing. But authority for LLMs is built differently. The brands that figure out the distinction early will be significantly harder to displace once their citations solidify.
Bottom line: AI SEO authority comes from being the clearest, most corroborated answer to the questions your audience is asking, across your site and across the web. Track what’s being cited. Be helpful and accurate. Make your content extractable and build off-site where citations are being won. That’s the brief.
