Few industries are moving as quickly as AI. New companies are launching and raising capital almost every day, but many are still struggling to explain what they actually do.
Public trust is still fragile, regulation is changing, and one poorly handled announcement can quickly take control of the wider conversation. This is why public relations in the AI industry cannot be approached in the same way as communications for a traditional technology company. Journalists, regulators, investors, and customers are all paying close attention to what they claim and how they support it.
PR helps companies build credibility through media coverage, executive positioning, thought leadership, and reputation management. Today, those same activities also influence how AI platforms such as ChatGPT, Gemini, and Perplexity understand and recommend businesses. When someone asks an AI platform to identify the leading companies in a sector, the response is shaped by the credible third-party coverage that already exists online. PR is no longer only influencing what people think about a company. It is increasingly influencing what AI systems know about it.
For AI companies, this creates a new layer of competition. They are not only competing for customers, investors, and talent, they are competing to become part of the information ecosystem that defines their category. Industry data suggests that approximately 80% of global venture funding during the first quarter of 2026 went into AI. Capital, talent, and media attention are converging around the same companies, making differentiation more important and more challenging than ever. A funding announcement, regulatory development, or competitor launch can reshape a company’s story within days.
Why AI and Robotics Companies Face a Greater Challenge
Most companies can focus on building awareness and demand. AI and robotics companies must often build trust first.
Concerns around data, safety, employment, and the responsible use of technology sit behind almost every conversation about AI. Robotics companies face additional questions around physical safety and the impact of automation. These concerns must be reflected in how the company communicates its purpose, product, leadership, and long-term vision from the beginning.
Some teams understand the technology but cannot translate it into a story that matters outside the company. Others have strong media relationships but lack the technical understanding required to communicate the product accurately. The strongest AI PR teams can do both. They understand the technology well enough to challenge the company and ask the right questions, while knowing how to turn complexity into a clear, relevant story without oversimplifying it.
What Separates Strong AI PR Agencies From the Rest
A strong AI PR agency should be able to explain what a company does, why it matters, and where the technology has limitations without relying on hype. It should understand that reputation cannot be separated from business strategy, and help maintain consistency across regulators, customers, investors, employees, and journalists while keeping the company relevant within a rapidly changing news cycle.
During the selection process, test whether the team can discuss the technology without repeating the press release. Ask which specialist journalists they know, what difficult questions they expect, and how they would position the company beyond its next announcement. Crisis planning should also be discussed before the agency is hired, not after an issue appears, since a safety concern or misleading claim can undo months of positive coverage in days.
Several agencies have developed strong capabilities in this area:
- Luna PR is a multi-award winning, global PR firm, working across AI, robotics, and digital assets, from New York, Dubai, Singapore, and London. Its approach brings together executive positioning, strategic communications, and hands-on media relationships rather than treating them as separate functions, giving clients a single team across the full communications picture instead of managing it in pieces.
- 5WPRO operates a large AI practice with significant crisis capabilities, suited to companies that need scale.
- Edelman combines global reach with experience across AI ethics and corporate reputation.
- Highwire is known for making complex subjects like model governance accessible without removing the substance.
- Inkhouse extensive experience supporting AI and robotics companies through launches and funding announcements.
- Salient Offers a founder-led model for early-stage AI companies wanting a partner that works closely alongside leadership.
The right choice depends on the company’s stage, priorities, and level of risk. Technical understanding, specialist media relationships, executive positioning, and crisis readiness should be considered essential rather than optional.
What to Watch Out For
AI has become a popular term across the communications industry, but not every agency that claims to specialise in it has meaningful experience.
Be cautious of teams that rely heavily on words like “revolutionary” or “disruptive” without explaining what is genuinely different about the product. An agency should be able to describe the company’s technology clearly after an initial briefing and identify the difficult questions journalists are likely to ask. A generic media list is another warning sign, since the journalists covering enterprise software, robotics, regulation, and consumer AI are often looking for very different stories.
Ask how the agency would respond to a crisis. A vague answer, or a promise to address it only when it happens, should be taken seriously.
The Bigger Picture
Reputation is increasingly recognised as one of the most significant risks facing major AI companies. PR is no longer sitting at the edge of the business, brought in only for a funding announcement or product launch. It is directly connected to trust, discoverability, leadership, and long-term commercial value, and shapes whether a company is found and understood by both people and the AI platforms they increasingly use to make decisions.
The AI companies that define their categories are unlikely to be the ones that simply make the most noise. They will be the companies that communicate with clarity, demonstrate credibility, and build trust before they need it. In a market moving this quickly, reputation cannot be built retrospectively.
