Digital PR that earns AI citations.

When a buyer asks an AI tool to recommend software, the engine looks for evidence that independent sources have already evaluated the category and chosen certain brands. Industry roundups, "best of" lists, review platforms, analyst mentions and editorial coverage all supply that evidence. A brand that only describes itself gives the engine little reason to name it.

That is why a large share of GEO work happens off your own site. Our guide on how earned media and brand mentions drive AI citations explains the mechanism in more detail.

We do not chase generic domain authority. We start from the prompts your buyers use and work out which sources AI engines actually cite for them: which publications, which lists, which review platforms and which communities. The gap between the sources that mention your competitors and the ones that mention you is the target list.

That list is prioritised by likely effect and effort. Some targets are quick, such as inclusion in an existing list. Others take sustained work, such as earning expert commentary in a trade title. The cadence is scaled to your engagement.

Our digital PR work covers research and data-led campaigns, expert commentary and bylined placements, inclusion in comparison lists and review platforms, and community work including Reddit. Original research is the single tactic most likely to earn coverage that engines then reuse, so it is often where we start.

We track brand mentions and AI citation rate, and tie changes back to specific placements, so you can see which work moved which prompts.

AI engines cite Reddit constantly. For some comparison and "which is better" prompts it is among the most-used sources, because threads read as authentic, current and nuanced in a way static pages do not. For B2B categories with active communities, a deliberate Reddit strategy is often one of the quicker ways to move citation rate.

Community work only lasts if it is genuine, so it is handled with care. We engage openly and in line with each community's rules, and we do not post fake reviews or undisclosed promotion. Read more in why Reddit is a critical part of an AI search visibility strategy.

We run a consistent set of target prompts across ChatGPT, Copilot, Claude, Gemini, Google AI Overviews and the other engines, tracking how often the brand appears and how citation rates shift after specific placements. Alongside that, we monitor brand mention volume across authoritative publications, the leading indicator that most strongly predicts AI visibility over time. The full method is on our methodology page.

In B2B software categories, third-party platforms dominate what AI engines cite. G2, Reddit and LinkedIn are cited far more often than vendor pages, and ChatGPT increasingly favours answer-first sources over conversion-first brand pages.

So the brands that win are the ones present in the sources AI already trusts, especially review platforms and community discussions, and not only on their own site.

Pick three third-party destinations that matter for your category and set a monthly target for new, specific reviews. Specificity beats praise, distribution beats containment and consistency beats spikes. Convert your best review themes into on-site proof pages, and build a comparison and alternatives page set that references them honestly, trade-offs included.