eAccountable is a US-based performance marketing agency that believes in delivering transparent client outcomes above all else. AI search’s emergence meant an additional channel and opportunity for clients. With Enterprise AIO, eAccountable were able to integrate it into their wider activations, using holistic signals to deliver clear, repeatable AI visibility growth.
- +100% lift in combined AI share of voice
- +282 earned AI citations
- +17% branded organic traffic
From AI monitoring to a measurable playbook
For eAccountable, AI visibility data is now key input into how the agency plans client strategies and activates PR channels. Enterprise AI Optimization acts as the central intelligence that informs this process from end to end.
Working with one of their key accounts, eAccountable connected prompt, citation, and third-party publisher data with its third-party placement strategy. The team used this data to pinpoint where a client needed greater authority and then direct the topics their PR activity should cover.
The first coordinated wave put that approach to the test, with new third-party placements launched in March. In the weeks that followed, the account recorded higher AI share of voice, 282 additional citations, and a 17% rise in branded organic traffic downstream.
Showing PR’s growing influence on brand visibility
AI search has expanded the number of places where brands need to build authority.
A brand’s own website is still vital, but so are independent publications, research pieces, and industry sources AI platforms draw on. For an agency like eAccountable, this created additional client questions behind every PR opportunity. They needed to be able clearly show the impact of third-party activities with data they could be confident in.
PR metrics could show eAccountable’s team reach, engagement, or audience quality. Enterprise AIO added this extra dimension: whether this coverage was being picked up and cited inside AI responses.
With Enterprise AIO, eAccountable could set a baseline from which it could measure shifts in share of voice, mentions, citations, sentiment, and the conversations surrounding the brand.
The remaining objective was to turn these metrics into a repeatable loop:
- Understand the conversations influencing the client's market
- Identify topics where stronger third-party authority could make a difference
- Prioritize publications and placements around those opportunities.
- Measure the effect after coverage went live
- Iterate on the learnings within the next campaign
We knew how to build and deliver a strong PR campaign. The missing piece was connecting that activity to AI visibility. Once we could connect placements back to mentions, citations, and share of voice with Enterprise AIO, the whole process became measurable. It really helped to clarify client conversations and secure their trust.
Director of GEO, eAccountable
Turning AI visibility into an agency workflow
eAccountable centered AI search into its PR planning and measurement processes, rather than treating AI visibility as a standalone reporting exercise. Their established workflow flows seamlessly between multiple use cases.
Find the conversations worth influencing
Enterprise AIO gives eAccountable visibility into the prompts and topics shaping how customers encounter its clients in AI search.
Instead of beginning a campaign solely with a broad communications theme, the team can examine the conversational landscape around the brand: where it appears, where competitors appear instead, and where relevant topic gaps remain.
Those signals give the PR team a sharper brief, helping determine what each placement should actually talk about, connecting outreach and editorial planning to observable opportunities for the client's AI search presence.
Prioritize placements with AI citation data
The next question is where that coverage should appear. Enterprise AIO's source and citation data helps eAccountable understand which third-party sources are feeding AI answers within the client's industry and target topics.
That creates a more informed approach to publication selection Rather than evaluating outlets through expected reach or reputation alone, the agency can add another signal: their potential relevance to AI search.
The client example shows why that distinction is vital.
Two key pieces were placed with Kiplinger and separate sponsored feature ran with The Wall Street Journal. But the highest-profile publication didn't produce the highest AI impact. Instead, the Kiplinger placements generated the majority of the citations observed.
Measure different placements against different outcomes
While the Wall Street Journal feature generated less direct LLM pull-through, it didn't make the placement unsuccessful.
eAccountable observed strong engagement and audience quality around the sponsored feature, while branded organic traffic increased following the overall March activity. The agency could therefore start building a more nuanced view of its media mix:
- Industry-focused editorial coverage helped drive AI citations and visibility.
- High-reach sponsored coverage could play a different downstream role by putting the brand in front of qualified audiences and supporting broader brand demand.
This resulted in more informative client reporting, as eAccountable could point to the outcomes achieved by each piece of the activation.
Build an ongoing feedback loop
Enterprise AIO also gave eAccountable something that a one-off PR report cannot: an ongoing feedback loop.
Following the initial placements, AI visibility increased. As activity slowed, share of voice began to plateau. It’s an important observation informing the client strategy going forward.
eAccountable can now point to the greater value in maintaining a consistent pipeline of fresh, relevant third-party content, rather than spikes in publication rates. It demonstrates the benefit to the client, as well as the agency, who can maintain consistent engagement and activities in lieu of seasonal campaigns.
A model for future media investment
The March activations delivered measurable gains across AI search and branded organic performance, giving eAccountable, and their client, strong proof of concept:
- 100% uplift in combined AI share of voice
- +282 new AI citations
- +17% branded organic traffic
Just as importantly, eAccountable could unpick why those results moved.
Enterprise AIO data could differentiate placements that generated strong AI citations from those that played stronger audience and engagement roles. It also showed why a consistent pipeline of relevant coverage would be required to keep building momentum.
That gives eAccountable a repeatable framework it can bring into future engagements: find the conversation, identify the gaps, choose the placements, communicate impact, and scale what works.
Doubling a client's AI visibility is a fantastic outcome, but the real win is that we can point to exactly what drove it. Enterprise AIO shows which type of coverage generated mentions and citations, so we know where other placements added value. We're using these insights to make each subsequent initiative even more impactful.
Director of GEO, eAccountable
Delivering proven intelligence and outcomes to clients
eAccountable started with a familiar agency challenge: proving how their paid activities and PR coverage influences an emerging channel. Enterprise AIO helped turn that question into a measurable workflow and clear agency differentiator.
The team can now use AI search data before a campaign to identify gaps and prioritize opportunities, during planning to sharpen topics and publication selection, and after publication to understand what actually moved. Now the approach compounds across eAccountable’s growing client list.
