Part 1: Visibility in the Age of AI |AI Can’t Recommend a Company It Doesn’t Understand
Your next buyer may not start their search on Google.
They may ask ChatGPT, Gemini or another AI platform:
What companies can help solve this problem?
What should I look for in a provider?
Which solutions are best for a company like mine?
How does one company compare with another?
And that introduces a new question for every business:
Does AI understand what makes your company valuable, or does it make you sound like everyone else?
For years, companies have thought about online visibility primarily in terms of search rankings, website traffic and social reach.
Those things still matter. But AI is changing how buyers discover companies, evaluate their options and form an initial impression before ever speaking with sales.
Instead of presenting buyers with a page of links, AI tools can synthesize information from multiple sources and provide a direct answer.
That answer could include your company.
It could include your competitors.
Or it could leave you out entirely.
AI can only work with the signals it can find
AI platforms do not sit in your strategy meetings.
They have not heard your sales team explain why customers choose you. They do not automatically know that your approach is different, your people bring deeper expertise or your solution creates better long-term value.
They form answers using the information available to them.
Depending on the platform and the question, those signals may include:
Your website
Press releases
Editorial coverage
Executive interviews and contributed articles
Customer stories
Industry publications
Third-party mentions
Publicly available product and company information
Google’s guidance for appearing in its generative AI search experiences reinforces the importance of content that is accessible, useful, original and valuable, rather than content created merely to manipulate rankings.
In other words, AI needs something substantive to find, understand and potentially cite.
The problem is not always visibility. Sometimes it is clarity.
A company can have a large digital footprint and still send weak signals.
Its website may describe the business one way, while its press releases use different language. Executives emphasize one strength, while sales leads with another. Product pages focus on features, but customer stories point to an entirely different source of value.
Individually, none of those issues may seem significant.
Together, they create a fragmented picture of the company.
That fragmentation already makes it harder for buyers to understand why they should choose you. AI simply adds another audience trying to make sense of the same information.
If your company’s value is buried in vague language, inconsistent descriptions or generic claims, the answer AI produces may be equally vague and generic.
It may understand what category you belong to without understanding why you matter within it.
And that is where companies become interchangeable.
Third-party credibility matters
Your website is important, but it is still your company talking about itself.
Press releases, editorial coverage, contributed articles, podcast interviews and other third-party sources expand the evidence available about your company. They help establish what you do, what you know and where you fit in the market.
That does not mean issuing a press release about every minor company update or chasing media mentions simply to create volume.
More noise is not the answer.
The goal is to build a clear, credible body of information around the subjects for which you want your company to be known.
A strong press release can document a meaningful product launch, customer outcome, partnership or company milestone.
Editorial coverage can provide context and third-party validation.
Executive thought leadership can demonstrate expertise and introduce a distinct point of view.
Customer stories can connect claims to real evidence.
Together, those signals help people, and potentially AI platforms, develop a more complete understanding of your company.
Start with what you want to be understood for
Before investing in a new AI visibility strategy, ask a more fundamental set of questions:
What do we want buyers to understand about us?
Is that idea clear and consistent across our public footprint?
Do we have evidence that supports it?
Are credible sources talking about us in connection with the problems we solve?
Would AI find anything meaningfully different about us than it would find about our competitors?
These are not just technical or SEO questions.
They are positioning, communications and credibility questions.
You cannot completely control what an AI platform says about your company. You cannot guarantee that you will appear in every answer or that the answer will always be accurate.
But you can...
Improve the information available;
Communicate your value more clearly;
Replace broad claims with specific evidence;
Contribute original ideas instead of repeating what everyone else is saying; and
Build a stronger network of owned and third-party sources that consistently connect your company with the expertise and outcomes you want to own.
AI cannot recommend a company it does not understand. And if the market cannot understand what makes you valuable, that is not merely an AI problem.
It is a revenue problem.
Next in the series: Why press releases may be working long after launch day, and how they can support visibility in AI-driven search.