AI Strategy Must Include How Buyers Find You
A company can use AI throughout its operations and still be absent from the answers its buyers receive. Internal adoption and external discovery are different problems. A serious AI strategy has to address both.
I founded AuthorityTech in 2018 to work on earned authority. Machine Relations extends that work into a discovery environment where a machine may summarize the market before the buyer ever visits a company's site.
The outside of the company needs an owner
An internal AI project has a workflow, a cost and a result someone can inspect. External AI discovery deserves the same clarity.
Which buyer questions matter? What do engines currently say? Which sources do they use? Is the company's actual expertise visible in those sources?
Without an owner for those questions, it is easy to build an impressive internal capability while leaving the public record stale or thin.
Turn useful work into evidence
A product launch creates facts. A customer result creates evidence when the claim can be substantiated and shared. A founder's decision can produce an original argument. None of those automatically becomes a source an engine will retrieve or cite.
Publish the parts that are useful and appropriate to make public. Describe the method, the scope and the result. Give independent writers and relevant publications something concrete to examine. Connect the resulting coverage back to the underlying evidence.
That is the relationship between communications and AI visibility. It is not a reason to expose private operating data or manufacture an announcement every day.
Readable is the floor
Make important content available as text, maintain clear navigation and preserve accurate identities. Technical access matters, but an accessible page with nothing distinctive to say remains an accessible page with nothing distinctive to say.
The Machine Relations stack connects earned authority, entity clarity, citation architecture, distribution and measurement. I use that sequence to keep technical work attached to a credible claim and a real discovery question.
Let the evidence determine the next move
An adoption, a new research result or a changed answer can justify a revision to an existing essay. It does not automatically justify a new post. The durable asset is the clearest useful account of the subject, improved as the evidence develops.
Measure the questions that matter to your buyers and connect the findings to a decision. Build the capability inside the business. Make its relevant evidence legible outside it. Then observe whether discovery is catching up to reality.
About the author
Jaxon Parrott founded AuthorityTech in 2018 and coined Machine Relations in 2024. He writes about earned authority, AI discovery and founder judgment.
Continue reading
The Category Ownership Trap
Owning a category definition does not mean owning the buyer journey. How I connect Machine Relations to the questions people ask before they know its name.
When AI Describes a Different Brand Than You Built
When AI misrepresents your brand, trace the answer through the question, retrieved sources and public record. Correct evidence before trying to change sentiment.
After an AI Mention, Who Owns the Next Move?
An AI mention needs three clear responsibilities: verify the observation, check its accuracy and decide whether it changes a commercial action. Assign each one.