Digital PR has always been about earning coverage that influences the audience you can’t reach through paid channels. While the value proposition of digital PR hasn’t changed, the definition of “showing up” has.
When buyers use answer engines to research a category, the brand that appears in those answers has earned a form of coverage that press releases and media lists weren’t designed to deliver. Earned media that appears in AI results now carries more influence than traditional coverage alone.
The PR teams pulling ahead are the ones treating AI visibility as a measurable outcome of their work — not something that happens downstream of traditional metrics.
Track which earned media placements are driving answer engine citations.
The relationship between earned media and AI visibility is real, but it’s not uniform. For example, placement in a top-tier outlet doesn’t automatically translate into a citation in an answer engine. Some publications and content types generate citations at much higher rates than others.
If you’re measuring PR success solely by placement volume, domain authority, or estimated reach, you may be optimizing for metrics that no longer fully capture influence. The gap between traditional PR measurement and AI visibility is where accountability gets murky.
HubSpot AEO’s Citation Analysis surfaces which specific publications and content categories are generating citations in answer engines. PR teams can see which third-party publications are contributing to brand visibility and which aren’t. This makes it easier to evaluate which outlets and coverage types are worth prioritizing.
HubSpot’s marketing team recorded a 642% increase in citations for comparison articles and a 58% increase in overall mentions.
Knowing which placements are driving citations gives teams the data they need to target the publications that move their AI visibility score.
Identify and target publications that improve your AI visibility score.
Not all media outlets are created equal in answer engines. Some media outlets are cited consistently; others rarely appear. PR teams need to understand which publications influence their category because it changes media outreach, content pitching, and relationship-building priorities.
Without that data, pitching strategy defaults to reach and reputation metrics that don’t reflect AI citation patterns. The result is effort spent on outlets that don’t move the needle on AI visibility, even when the coverage is objectively good.
HubSpot AEO’s Recommendations identify gaps in a business’s citation profile and flag the types of sources and content that are most likely to improve your brand visibility score. Teams can use those insights to build a more targeted media list and adjust their pitching strategy toward outlets with demonstrated citation influence.
Targeting the right outlets matters for AI visibility, but what ultimately counts is whether teams can connect that work to the business metrics PR is accountable for.
Measure how PR investment translates to brand visibility in AI results.
PR reporting has always involved a mix of quantitative and qualitative measures. AEO adds a cleaner signal: changes in the AI visibility score, citations, and share of voice are directly attributable to the content and placements driving them.
Teams that connect PR activity to AI visibility outcomes can make a stronger case to stakeholders for the value of earned media.
HubSpot AEO’s Brand Visibility Dashboard tracks brand visibility score, citations, and share of voice over time. As you run PR campaigns, you can track whether your visibility metrics shift. This gives you concrete data to connect earned media activity to AI visibility outcomes.
The publications that influence AI answers are largely the same outlets your team already builds relationships with. The difference is in knowing which placements to track, which to prioritize, and how to present the results in terms stakeholders can act on.