Making Any Model Safe Four clauses do most of the protective work regardless of structure. The prompt set and baseline archive belong to you and leave with you. Raw answers ship with every report. Scope is stated in countable units. And there is a defined review point with agreed criteria before the contract auto renews.
The Details That Get Quoted Locally Local recommendations turn on practical specifics, and most local sites omit all of them. Your actual coverage radius. Whether you handle emergency call outs and at what hours. Typical price range for a common job. Whether you are licensed, insured and to what level.
That is a month of intermittent effort, it costs almost nothing, and in most local categories it is enough to change what an assistant says. Local is one of the few places where the whole discipline is genuinely accessible without an agency. chatgpt seo
The risk is scope drift into activity that is easy to report and hard to value. The protection is to have the retainer specify countable units: prompt set runs per month, listings audited, corrections submitted, pages published or rewritten, outreach attempts made.
If you will not name competitors, say that too, and understand it removes the highest performing content format from the plan. Better to have that argument in the brief than to have a comparison page written and then killed.
A weak brief produces a generic proposal, and a generic proposal produces a generic engagement that spends the first two months discovering things you already knew. The brief is the cheapest lever you have over the quality of the work.
This explains the most common frustration brands report, which is watching a competitor with a worse website get recommended instead. That competitor is usually not better optimised. They are more written about, and the system is weighing the difference.
Ask What Happens in Month One A proposal that opens with content production has skipped the diagnosis. There is no way to know what to write before you know which questions matter, which assistants answer them badly and which sources they draw on.
This matters more than any subtlety about model training. It means recommendations are built largely from pages that exist right now, which is why a page published this month can influence an answer this month, and why a brand absent from the retrievable web is absent from the answer regardless of how well known it is offline.
These names go directly into the prompt set and into any comparison content, and getting them wrong sends the entire measurement effort in the wrong direction. If you lose to a low cost regional operator rather than to the market leader, say so.
One inversion is worth noticing in your own analytics. The pages that earn citations are frequently not the pages that earn traffic, and teams optimising purely for sessions will deprioritise exactly the specification and comparison content that this channel uses. Keeping a separate note of which pages appear in citation lists prevents a well performing asset being retired because its visit numbers looked unremarkable.
Name the Buyer, Not the Segment Marketing documents describe segments. Briefs need people. Who specifically buys from you, what situation are they in when they start looking, and what have they already tried before they arrive.
What Ranking Does and Does Not Buy You Ranking still helps, because the retrieval step usually starts with a search. But it buys far less than people assume. Ahrefs examined 15,000 long-tail prompts across four assistants in July 2025 and found roughly 80 percent of cited pages did not rank for the original query at all, with about 12 percent in the top ten.
Entity Coherence Before a model can recommend you it has to be confident that the scattered mentions of your name refer to one company. That confidence comes from consistency across the details that identify you.
Preference is the wrong word, strictly. These systems do not have taste. They reach for sources that match the shape of the answer being written and that contain claims which can be lifted without distortion, and certain formats do that reliably.
Ask Who Writes and Who Reviews Find out whether the writing is done by somebody with subject knowledge or generated and lightly edited. Both happen, and the second is not automatically disqualifying, but you need to know because you are the one who carries the liability for inaccurate claims about your own products.
Performance and Score Based Models Both sound aligned and both create problems. Payment tied to mentions creates pressure to shape the prompt set toward questions you already win, which is measurable improvement that means nothing.
Direct Answers Beat Positioning When a model composes a recommendation it needs sentences it can attribute. Positioning language supplies none. A paragraph about being a trusted leader committed to excellence contains no attachable claim, so it is passed over in favour of a competitor who wrote down their turnaround time.