Use Case — PR Agency
AI Visibility Reports for PR Professionals
Track how your clients' brands are described in ChatGPT-style answers and Perplexity. Identify narrative risks, competitor framing, and PR opportunities in AI search visibility.
PR agencies face a measurement challenge that has become more acute as AI search has grown: the connection between media coverage and brand perception is now mediated by AI systems that synthesize, weight, and reframe content in ways that are not directly observable. A client's brand narrative in AI search may reflect coverage from years ago, weight a single influential review more heavily than dozens of positive placements, or associate a brand with a use case the PR team has been actively trying to move away from. Without structured AI visibility reports, these dynamics are invisible.
The PR Agency AI Visibility Challenge
PR coverage is no longer enough to guarantee visibility
Earning placements in major publications used to reliably drive brand awareness. Today, even well-covered brands can be absent from AI search responses — because AI engines weight sources differently than human readers do.
Sentiment in AI responses is hard to report clearly
A negative narrative in AI-generated brand descriptions can persist for months and reach high-intent users at critical decision moments. PR agencies have no systematic way to detect these narratives without querying AI engines directly.
Measuring PR impact on AI visibility is unsolved
PR teams can measure media placements, reach, and share of voice in traditional media. Demonstrating that a PR campaign improved how ChatGPT or Perplexity describes a client is a new and largely unmeasured dimension.
How TrackAIMentions Works for PR Agencies
Measure AI-generated brand narratives
TrackAIMentions checks AI answers for your client's category prompts and shows the exact language ChatGPT-style answers and Perplexity use — giving PR teams an early warning system for narrative risk.
Measure PR campaign impact on AI visibility
Run a baseline report before a major PR campaign, then a follow-up report 30-60 days after. Changes in organic visibility, source evidence, and answer framing are direct evidence of your campaign's impact on AI search visibility.
Competitive AI narrative benchmarking
Compare how AI engines describe your client vs. competitors. If a competitor is consistently framed more positively in Perplexity responses, that's actionable intelligence for positioning and messaging strategy.
Real-World Example
A B2B PR agency managing a cybersecurity client discovers through a TrackAIMentions report that Perplexity consistently describes the client's product as "complex to implement" — language that appears in one critical review from 18 months ago and has persisted in AI responses ever since. The agency develops a targeted content strategy: a series of case studies demonstrating rapid implementation, a simplified onboarding guide published on the client's blog, and outreach to two key industry publications for updated coverage. Three months later, a follow-up TrackAIMentions report shows the "complex" framing has been replaced with "straightforward deployment" in Perplexity responses. The agency uses this before-and-after data as the centerpiece of its quarterly PR impact report.
How It Works
Establish AI narrative baseline
Before any campaign work, run a TrackAIMentions report to understand how AI answers currently describe your client — what language they use, what use cases they associate with the brand, and how competitor framing compares.
Identify narrative risks and gaps
Look for negative framing, outdated associations, or competitor positioning advantages in AI responses. These become the strategic priorities for your PR and content work.
Execute targeted content and PR strategy
Develop content and outreach designed to address the specific AI narrative gaps identified. Focus on authoritative placements and review platform presence, which AI engines weight most heavily.
Measure and report AI visibility impact
Run follow-up reports to measure how AI descriptions have changed. Organic visibility gains, source changes, and improved answer framing are evidence of PR campaign impact.
Built for PR Agencies
TrackAIMentions fits into existing workflows without replacing any current tooling. Reports are generated on demand and designed as client-ready AI visibility deliverables for planning, review, and follow-up work.
See how your brand appears in AI search right now
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Simple, Transparent Pricing
One-time report options for a focused baseline, deeper analysis, or agency workflow.
Snapshot Report
Fast baseline report
- ✓Supported AI answer checks
- ✓Competitor comparison
- ✓Organic visibility score
- ✓Prompt evidence summary
Deep Report
More prompts and evidence
- ✓Everything in Snapshot
- ✓Deeper prompt coverage
- ✓Action recommendations
- ✓Human review boundary
Agency Starter Pack
Packaged agency workflow
- ✓Multiple client-ready reports
- ✓Reusable agency workflow
- ✓Positioning notes
- ✓Priority onboarding guidance
Frequently Asked Questions
How do AI visibility reports differ from traditional media monitoring?
Traditional media monitoring tracks published articles, social posts, and reviews. AI visibility reports show what AI engines say about your brand when users ask for recommendations — which may reflect older coverage, weight sources differently, and reach users at high-intent decision moments that traditional monitoring misses entirely.
How quickly do AI search results change after a PR campaign?
It depends on the platform. Perplexity, which retrieves current web content, can reflect new coverage within weeks. ChatGPT's base model updates less frequently, but ChatGPT with web search enabled can also show changes relatively quickly. We recommend re-testing 30 and 60 days after major campaigns.
Can TrackAIMentions help identify which publications influence AI results?
Indirectly yes. By running reports before and after earning coverage in specific publications, you can build evidence for which sources most reliably shift AI visibility scores. This helps prioritize outreach toward publications that have demonstrable AI search influence.
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