Run this experiment on your own business
Open any AI assistant and ask it three plain questions about your business: what you do, what you charge, and how a customer reaches you. Read the answer the way a stranger would. There is a fair chance something in it is wrong — hours you changed last year, a service you no longer offer, a price that was never yours — stated in the same confident tone as the parts it got right.
Nothing malfunctioned. The assistant did exactly what it is built to do: it assembled an answer from what it could find. The problem is what it found.
Why it happens
An assistant answering questions about your business stitches its answer together from fragments: your current website, an older version of it still floating in an index, directory listings written years ago, review snippets, a price list someone copied to a forum. Those fragments disagree with each other constantly — and none of them is marked as the one that outranks the rest.
Where the fragments run out, the gaps get filled with what sounds plausible. A missing price becomes a typical price. An ambiguous service becomes the standard version of that service. The result is not a lie anyone told; it is an average of everything the internet happens to say about you, smoothed over until it reads like fact.
Confidence makes it worse. The answer arrives in one smooth voice whether a given sentence came from your current price list or from pure plausibility, and nothing in it marks which is which. A human researcher would say "sources disagree." The assistant, built to be helpful, picks a version and moves on — so the parts it invented are indistinguishable, to the customer hearing them, from the parts it found.
Notice what is missing from that pile: a canonical statement from you. Most businesses have never published their facts in one place, in a form a machine can read exactly, declared as the authoritative version. So the assistant does what any researcher does without a primary source — it works from secondary ones.
Why a wrong answer costs more than it used to
A wrong fact on a forgotten directory page mostly sat there. A wrong fact inside an assistant's answer gets delivered — spoken to a prospective customer at the exact moment they are deciding, in a voice that sounds certain. The person who heard your wrong price or your discontinued service rarely comes to your website to double-check it. They just move on, and you never see the conversation where you lost them.
And the answer does not stay in that conversation. Other systems read, summarize, and repeat what assistants say. An error that enters the loop can be quoted back as settled fact by tools that never saw your actual business at all.
The fix: one canonical source, under your control
You cannot edit an assistant. You cannot chase every directory, cache, and copied listing — the trail never ends, and the fragments regenerate. What you can do is change what sits at the center: publish a single, machine-readable page where your business states its own verified facts — identity, offers, real prices, place, contact — and seals them, so any reader can confirm the statement is complete and exactly as authored. That is what an AI Index Page is.
The honest limit, stated plainly: publishing a canonical page does not force any assistant to use it, and it guarantees no ranking, citation, or recommendation. What it changes is the material available to be read. When the most complete, current, and clearly-authoritative version of your facts is the one you published, an assistant assembling an answer has something better to work with than fragments and averages. You control the input. That is the part that was always yours to control.
Check yourself, complimentary, in three questions
Protocol One's complimentary entry point is built for exactly this: The 3-Question AI Check. Ask an AI assistant three questions about your business — what it does, what it charges for a named offer, and how a customer contacts it — then compare each answer against reality, line by line. Every mismatch is a fragment doing damage. It costs nothing and takes minutes, and it shows you precisely which facts of yours are loose in the world.
If the check comes back clean, you have evidence your facts are holding. If it doesn't, the repair is a page, not a campaign: Protocol One builds and seals it for you as a Done-For-You AI Index Page — $250 at the founding price, $375 for a solo lawyer, $1,500 for a law firm — so the next answer an assistant gives about your business starts from your facts, stated by you.
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