The communications industry has changed faster over the past 18 months than it did over the previous decade. AI tools are everywhere. Information moves at unprecedented speed. And brands are being discussed in places you might not even be monitoring.
Building a modern communications stack doesn’t mean adopting every new tool. But you do need to select the right ones. To do this, communicators need to understand three fundamentals: voice, velocity and verification.
Voice: Where Your Brand Actually Lives Now
Here's something that should concern every communications professional: AI systems now answer questions about brands. When someone asks ChatGPT about a company, products or industry positioning, they receive an answer. The question is whether that answer reflects reality.
This isn't theoretical. Open ChatGPT Plus and search for your brand name. Inquire about your company's positioning, leadership and recent news. What comes back? For many organizations, the results are outdated, incomplete, or worse, inaccurate.
A brand's voice lives in two places now: what is published, and what AI tools think the brand is based on whatever they can find online. If a company only manages the first one, it's leaving the second one to chance.
Start with an easy check-up. Open a few AI platforms (ChatGPT, Gemini, Perplexity, Copilot) and ask the same questions a customer would ask:
- “What does [Brand] do?”
- “Who is [Brand] for?”
- “What makes [Brand] different from competitors?”
- “Is [Brand] legit/trustworthy?”
Copy the responses into a doc and look for patterns. Do they describe the brand accurately? Does the brand sound like every other company in its category?
For example: A cybersecurity firm specializes in mid-sized healthcare clinics, but AI summaries say it's a “full-service IT provider.” That’s a signal. It may need more public-facing content that clearly says, “We help healthcare clinics meet compliance and prevent ransomware”—and to show proof (case studies, service pages, partner pages, FAQs).
That quick baseline makes the next step obvious: communicators will know exactly what to clarify, reinforce or correct in their content.
Velocity: Speed Without Chaos
The news cycle doesn't wait. A story breaks, gains traction on social media, and gets picked up by major outlets, shaping public perception within hours. PR teams that respond in days are reacting too late.
Speed without a plan is how brands end up with messy, inconsistent responses: someone rushes out an apology, another team says something different, and suddenly they are doing damage control on the damage control.
The answer isn’t “work faster.” It’s having a simple system that makes fast responses safer.
That system can be straightforward:
- A short list of common scenarios a company is likely to face (service outages, bad reviews, public complaints, security incidents)
- A few drafted statements a PR pro can quickly adjust
- A clear escalation path (who needs to be looped in, and when)
- Light monitoring so issues don’t surprise the brand
Believe it or not, none of this requires enterprise software budgets. It requires thinking ahead and documenting processes before they are needed.
Verification: Cutting Through the Noise
Information abundance creates a verification problem. Executives receive dozens of news briefings, social mentions and competitive updates daily. Most of it is noise. The challenge is identifying what actually matters.
Effective verification happens by asking a few questions:
- How credible is the source? A mention in a major trade publication carries more weight than a random aggregator site. They shouldn’t be treated the same.
- Is the “tone” reading accurate? Automated sentiment scores can miss nuance (sarcasm, jokes, mixed feedback). A human skim often tells the real story.
- Is it a one-off or a pattern? One negative post might be noise. Ten similar complaints in a week are a signal.
- Did it actually make a difference? Don’t stop at “we got coverage.” Check what changed, like site traffic, demo requests, sign-ups, branded search or even support tickets.
The teams doing this well combine automated monitoring with human analysis. Technology handles volume. People handle judgment.
A Practical Starting Point for Building Your Stack
Teams don't need a massive budget or a technology overhaul. They need a plan.
Start with visibility. If brands are not monitoring what AI systems say about them, they are missing a significant piece of the reputation holistic. Run those searches. Document the results. Update quarterly.
Next, consider assessing response capability. How quickly can the team respond to breaking news? Where are the bottlenecks? Map the current process and identify areas of friction.
Evaluate your verification workflow. How does information get filtered before it reaches decision-makers? What gets through that shouldn't? What gets missed that matters?
Finally, look at integration. Does monitoring feed into a response capability? Does the verification process inform the content strategy? Disconnected tools create disconnected communications.
The Competitive Reality
Your competitors are already thinking about this. Some are ahead. Others are behind. The gap between organizations with modern communications infrastructure and those still operating on legacy processes will widen.
This isn't about technology for technology's sake. It's about meeting the moment. Audiences expect faster responses. AI is reshaping how people discover and evaluate brands. Information volume continues to increase.
The organizations that thrive will be those that build intentional systems for voice, velocity and verification. Not because it's trendy. Because it's necessary.
Start where you are. Build from there. The perfect stack doesn't exist. The stack that works for your organization does.
Ted Skinner is Vice President of Marketing at Fullintel and the author of "Predictable Results: How Successful Companies Tackle Growth Challenges and Win."