AIuthority

Crackle PR Launches AI Visibility Practice Focused on Earned Media for AI Citations

By Charles Ryder

Crackle PR’s launch of a dedicated AI Visibility Practice is one of the clearest signs yet that PR is being reworked for the AI era. For years, communications teams measured success through clips, reach, impressions, and share of voice. But as buyer behavior shifts toward ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews, a different question is taking center stage: when someone asks an AI engine about your category, does your company appear in the answer?

That is the problem Crackle PR is trying to solve.

Crackle PR's AI Visibility Practice logo or conceptual graphic showing AI search and earned media integration. A New PR Model for an AI-First Search Environment

Crackle PR, already well known in B2B tech for earned media and generative engine optimization, has now formalized that position with a standalone service line built around what it calls citation infrastructure. The idea is straightforward but significant: large language models tend to lean more heavily on authoritative third-party sources than on brand-owned websites.

That changes the job of PR.

Instead of treating media coverage only as a brand awareness asset, Crackle is framing it as a discoverability asset for AI systems. A placement in a trusted publication is no longer just a nice headline. It becomes part of the evidence layer AI engines use when answering buyer questions.

That is more than smart positioning. It reflects where the market is already headed.

Why Earned Media Matters More in AI Search

The old SEO playbook is not obsolete, but it is no longer enough. If AI systems summarize the web instead of sending users to it, brands cannot rely solely on optimizing their own sites and waiting for clicks. They need to become sources AI trusts enough to cite.

That is where earned media becomes essential.

Crackle’s approach builds on a growing industry view that PR is now a primary driver of AI visibility. The logic holds up: if an LLM is assembling an answer about the best supply chain software, top cybersecurity platforms, or leading fintech providers, it is more likely to pull from respected publications, data-backed reports, and established third-party commentary than from self-promotional product pages.

That gives journalists, analysts, and authoritative outlets a much more strategic role than many companies have traditionally assigned them.

The Build-Up to the Launch

This launch did not come out of nowhere. Crackle has spent much of 2026 laying the groundwork.

Earlier in the year, the agency published insights arguing that AI search runs on earned media. It followed that with guidance on measuring AI visibility for B2B clients, including ideas like prompt libraries and citation tracking. Around midyear, founder Parry Headrick also promoted an AI-engine-optimized news release template designed specifically for AI discovery.

Then came the AI Visibility Index for B2B Tech PR Agencies, which benchmarked citation performance across AI systems. By the time the new AI Visibility Practice officially launched, Crackle had already built both the narrative and the measurement framework behind it.

That sequencing matters. This is not a casual service rebrand. It is a bid to define a category.

What Makes the Practice Different

The clearest distinction is the success metric. Crackle is not centering its pitch on media volume alone. It is measuring whether clients are actually cited in AI-generated answers to buyer questions.

That is a major shift from traditional PR reporting.

In practice, the firm is moving attention away from “how many people may have seen this coverage?” and toward “how often do AI systems surface this brand as a relevant authority?” For B2B companies, especially those with long or complex sales cycles, that may be the more useful metric. Visibility at the moment of buyer research can matter more than generalized awareness.

Crackle also stresses that this work requires ongoing refresh cycles. AI visibility is not a one-time optimization. Brands need sustained placements in outlets AI engines trust, reinforced over time through consistent narrative development and authoritative mentions.

Diagram illustrating how earned media drives AI citations and discoverability in large language models for B2B tech. The Broader Industry Implication

The bigger takeaway is that this launch reflects a broader shift across marketing and communications. PR is no longer just about influence in the press. It is increasingly about influence in machine-mediated discovery.

That creates ripple effects across agencies and in-house teams alike:

  • PR teams will need to think more like search strategists.
  • SEO teams will need to work more closely with earned media specialists.
  • Reporting will move away from vanity metrics and toward citation presence and answer visibility.
  • Brand authority will depend more on third-party validation than on owned content alone.

For B2B tech brands, the stakes are especially high. If buyers are already using AI tools to shortlist vendors, compare solutions, and validate market leaders, then invisibility in those answers becomes a business problem, not just a communications problem.

Parry Headrick and Crackle’s Strategic Positioning

Much of this momentum appears tied to founder Parry Headrick’s role in shaping the agency’s point of view. Through agency insights, LinkedIn activity, and external thought leadership, he has consistently argued that earned media is becoming the most important AI strategy for brands.

That message resonates because it connects two simple realities: AI systems prioritize trusted sources, and PR has always been in the business of building third-party credibility. Crackle’s move effectively reframes classic earned media through the lens of AI retrieval and citation behavior.

It is a strong bridge between traditional communications expertise and a fast-changing discovery ecosystem.

What Brands Should Take From This

Brands should read this launch as both an opportunity and a warning.

The opportunity is clear: companies that secure strong, authoritative coverage can extend the value of PR beyond awareness and into AI discoverability. A single high-quality mention may now influence not only human readers, but also the answers delivered by multiple AI systems.

The warning is just as clear: brands that ignore this shift may find that even strong websites and active content programs are not enough to keep them visible where buyer research is happening.

In an AI-first environment, being publishable is becoming part of being findable.

FAQ

What is Crackle PR’s AI Visibility Practice?

It is a dedicated service focused on helping brands improve their visibility in AI-generated answers by strengthening earned media presence and citation authority.

Why does earned media matter for AI citations?

AI systems often rely on trusted third-party sources when generating answers. Coverage in respected publications can make a brand more likely to be cited than content published only on its own website.

How is this different from traditional PR?

Traditional PR often emphasizes reach, impressions, and coverage volume. This model focuses on whether a brand is actually surfaced and cited in AI responses to buyer questions.

Does SEO still matter in an AI-first search environment?

Yes, but it is no longer the full strategy. Brands still need strong owned content, but they also need third-party validation that AI systems recognize as credible.

Why is this especially important for B2B tech brands?

B2B buyers increasingly use AI tools to research vendors, compare platforms, and validate category leaders. If a brand is missing from those answers, it may be missing from early buying consideration as well.

Conclusion

Crackle PR’s AI Visibility Practice is more than a service launch. It is a sign that earned media is becoming part of the infrastructure for AI-era brand discovery. As citation-based visibility turns into a more meaningful KPI, companies will need better ways to understand where they appear, how they are referenced, and which authority signals are shaping those outcomes. For teams looking to get a clearer handle on that shift, AIuthority is a smart place to start.