A minor-league baseball team does everything right according to dated website rules. It maintains a visually appealing website, posts its schedule, and stays active on social media. Then a fan asks an AI assistant whether there is a game tonight, and the guidance tool has no idea. The schedule is right there on the team’s site, but it lives inside an image, and the AI model cannot read the graphic. So the assistant scans for whatever it can parse instead, sometimes providing a misguided response it finds elsewhere online.
John Beyer, president and chief executive of the Connecticut technology firm Realized Solutions, uses that example to make a point that applies well beyond baseball. The team had been doing this successfully for years. It simply lost control of its own story from an AI perspective. The team did not supply the information in a format that an AI machine reader could understand.
Addressing the delta between the requirements that AI machine readers require while also meeting the expectations of human consumers who visit the website is the problem Realized Solutions developed their service Clarity Narrative to solve. As people increasingly ask AI assistants to summarize, compare, and recommend businesses, the response provided matters, as consumers often act on that guidance without ever directly visiting the website themselves.
How Does a Business Lose Control?
The uncomfortable part is that losing control does not require a mistake. Modern assistants can process certain types of images and formats, but not others, and they often overlook or misinterpret plenty of what a business considers blatantly stated on their site. Details locked in a graphic, a menu buried in a PDF, a service described in marketing language designed for a human audience, is different from what an AI model can easily access and gather accurate context from. When data is not clear, AI skips to what it does understand, and the gaps get interpreted and filled from other online sources. Old announcements can outrank current facts. A discontinued product can look active. A competitor’s claim can be repeated as though it were a settled truth.
None of that shows up in a way a business owner would notice. There is no error message, no bounced email, just artificial guidance coming from a machine that is quietly telling prospects something slightly wrong, or nothing at all. The company keeps operating on the assumption that its website and marketing speak for it, while a second, AI-generated version of its identity circulates to online users.
How Do Businesses Regain Control?
Clarity Narrative’s answer is to stop leaving that second version to chance. Instead of writing more marketing copy, the service takes the information a business already has and adds a layer of machine-readable structured data to clearly communicate brand messaging to AI readers, spelling out what the company does, who it serves, and how its offerings fit together that meets AI’s technical criteria. The goal is to address AI readers’ data format requirements and offer authoritative instructions that mitigate AI inference.
Realized Solutions, founded in 2003 and SOC 2 Type II audited, explains that their Clarity Narrative service does not promise a company will top any particular answer, and it stresses that AI systems change constantly, so their work is ongoing rather than a one-time fix. What they do offer is modest and, in its telling, a more durable solution for their clients: the ability for their clients to verify and define their own business purpose, target market, brand messaging, products, and services clearly to both human and machine audiences, leaving less room for AI inconsistencies or inaccuracy.
The shift in mindset is the hard part. For years, controlling a company’s story meant managing a website, a press presence, and a social feed for human readers. Those still matter, and they still feed the systems. Now there is a second audience that has different reading requirements, forms an impression, and passes that impression along to customers at the exact moment they are deciding. A business that ignores how it is understood by AI readers has handed an important part of its reputation to fate.
For the baseball team, the fix was simple once visible: publish the schedule as text a model can read, not just a picture a person can see. For most companies, the effort is more involved and expansive because their digital identity and history are scattered across many online sources and described in loose or conflicting ways. The principle Beyer keeps returning to is the same. If a business does not tell AI machine systems, clearly, who it is and what it does, in a way the system understands, the machine will decide on its own, and it will not wait for permission. The only real choice is whether the company gets to define its own narrative or leaves its reputation to be decided by artificial intelligence.
