Top-Rated PR Agency for AI Companies

AI public relations is the strategic process of shaping how your AI company is perceived by the media, investors, enterprise buyers, regulators, and the public. Its primary goal is to earn visibility that builds trust, clarifies your positioning, and drives business outcomes.

Because the AI space is flooded with hype, we focus on credibility: real use cases, technical fluency, and the right distribution. That includes placements in respected tech outlets, appearances on industry podcasts, co-signs from trusted voices, and messaging frameworks that resonate across multiple audiences, from developers to decision-makers.

Yes, we offer tailored PR strategies for both early-stage AI startups and established enterprise AI providers.

For startups, we focus on building awareness, credibility, and investor interest. That generally means a mix of launch PR, founder profiles, podcast appearances, and strategic press ahead of fundraising. We help you punch above your weight, even if you're still pre-revenue or pre-product.

For enterprise AI solutions, the strategy shifts to support top-down sales, regulatory trust, and long-term thought leadership. We work more closely with internal comms and marketing teams to land Tier 1 coverage, handle crisis prep, and refine technical messaging for executive audiences.

Absolutely. That’s one of the biggest reasons AI companies hire us.

Most media outlets aren’t staffed with ML engineers. If you pitch them something too technical or full of jargon, it gets ignored or misrepresented. Our job is to bridge that gap. We take your most complex AI innovation (e.g., a new model architecture, a breakthrough in inference speed, or an applied use case in a vertical) and translate it into a clear, accurate story.

We don’t just dumb things down, though. We contextualize them. We make sure reporters, podcast hosts, and even non-technical stakeholders walk away understanding why it matters and what impact it has.

The benefits are far-reaching, but the biggest one is credibility. PR positions you as a serious player in a crowded, hype-heavy space.

Good PR gets you seen by the right people: investors, enterprise buyers, technical talent, regulators, and the media. It shortens sales cycles, builds trust, and makes people more likely to take your product seriously before they even try it.

It’s also a defensive moat that helps you get ahead of future challenges like ethical scrutiny, regulatory pressure, and competitive noise.

Our most successful clients work with us proactively, not just when they have a launch. They give us visibility into roadmap, hiring plans, fundraising timelines, and customer milestones so we can plan stories around real momentum. This is critical because media lead times can be as short as 2 to 4 weeks, but often stretch to several months.

Beyond that, the biggest way to use PR to your advantage is to repurpose all the third-party validation you get into sales and marketing collateral. Use it in emails. Mention it in sales convos. Flex it on your website and socials. The more proof you have, the faster you’ll convert new users.

A successful AI PR strategy has four core components: clarity, credibility, consistency, and context.

Clarity means we translate your tech into messaging that different audiences (investors, journalists, buyers, or developers) can connect with.

Credibility means we back it up with proof: use cases, customers, metrics, advisors, and product demos.

Consistency means you show up in the press, on social, and in podcasts consistently over time.

Context means we tie your story to what’s happening in the AI space right now: regulation, competition, market trends, emerging risks, and so on.

One of the biggest challenges we see is that AI companies know they’re doing something groundbreaking, but struggle to explain it in a way that lands with outsiders. Founders are often too deep in the weeds, and what makes sense internally doesn’t translate well to media, investors, or the general public.

The second major challenge is trust. The AI space is flooded with hype and half-baked claims, so journalists are skeptical by default. If your pitch doesn’t have proof, a real use case, or a fresh angle, it gets buried.

We also see companies jump into PR without a strategy, instead firing off press releases and hoping for traction. The main things standing in the way of most companies’ success is a diversified strategy and long-term game plan (both of which we can help with).

While general PR focuses on brand awareness and reputation, AI PR has to go deeper. While general PR promotes a product, you’re shaping public understanding and acceptance of artificial intelligence itself. That means educating the market, calming fears, and proactively addressing ethical concerns, bias, safety, and regulatory scrutiny.

In AI, the stakes are higher. Missteps can spark backlash, misinformation, or loss of trust. So your PR strategy needs to balance technical fluency with narrative control in a way a typical PR strategy won’t.

You’ll probably start seeing traction within the first 30 to 60 days, but it depends on your goals. For fast-turn opportunities like newsjacking, product launches, or podcast placements, we can get you visibility rather quickly. For longer-term efforts like thought leadership, earned media from top-tier outlets, and shifting market perception, it takes 3 to 6 months to fully hit stride.

The key is momentum. Our most successful clients in the AI space see PR as a compounding asset. Think of it less like a sprint and more like building a reputation that opens doors, shortens sales cycles, and gets investors to return your calls.

Definitely.

We work with our AI clients to get ahead of regulatory and ethical issues before they blow up in your face. But we also act fast when something does go wron by crafting statements, handling media outreach, and helping your team stay calm and on-message under pressure.

Perhaps more importantly, reputation management starts before the crisis. We build a strong foundation of trust through consistent media presence, transparent messaging, and relationships with the right journalists and influencers, so if something ever happens, your audience will be much more forgiving.

Product launches with clear differentiators, customer success stories, funding announcements, and technical breakthroughs all work well. Campaigns that tie your story to larger trends like AI regulation, workforce impact, or safety innovation also tend to land hard.

We also see strong results with thought leadership campaigns that elevate your founders or technical team. Podcasts, op-eds, and keynote placements can build long-term visibility and trust in a way flashy headlines can’t.

It depends on your stage and goals, but here’s a benchmark:

Early-stage AI startups typically invest $5-10k/month with a focus on strategic visibility ahead of fundraising, partnerships, or launches.

Growth-stage and enterprise AI companies invest $10-50k+/month to support multi-market campaigns, regulatory strategy, and enterprise positioning.

A good rule of thumb is to invest 5-10% of your revenue in marketing, around 10-20% of which should be dedicated to public relations.

For most AI companies, national PR should be the focus. Your users, customers, and investors aren’t limited by geography. Whether you’re a B2B platform or a consumer-facing AI tool, chances are your audience spans regions and industries.

That said, if you're doing something region-specific (like opening a local office, running a pilot program with a government agency, or partnering with a regional university), then local PR absolutely has a role.

But for the majority of AI companies, especially product-led startups or enterprise vendors, national PR is where the ROI is.

The two biggest mistakes: overselling and oversimplifying.

Overselling makes you sound like every other “game-changing” AI company. Journalists are drowning in inflated claims. If your pitch says you’re "revolutionizing" something without showing how, it won’t land.

On the flip side, oversimplifying makes you sound vague, generic, or like you don’t understand your own product. Great AI PR strikes the right balance: simple enough to understand, deep enough to respect.

Other missteps include pitching too early, treating PR like a one-time event, and failing to align messaging across your other sales and marketing channels.