A reasonable formulation: after two quarters, we expect movement in mention rate on buying intent prompts, improvement in the accuracy of how we are described, and new citations from the sources our baseline showed matter. If none of those move, we will treat the approach as unsuccessful.
What Changed For twenty years, finding a supplier meant typing a query and being handed a list. You compared a few results, formed your own opinion and chose. The businesses that appeared near the top of that list got most of the attention, which is why an entire industry grew up around getting there.
Most engagements are judged too late, on a final outcome that arrives after the point where anything could have been corrected. The first quarter has its own deliverables, and knowing what they are lets you tell early whether you have hired the right people.
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.
Decide What the Result Means Four outcomes, each pointing somewhere different. Absent everywhere with a clean robots file and no third party listings usually means an identity and coverage problem. Absent with a blocked crawler or an empty non-JavaScript page means a mechanical problem, which is the good news outcome because it is cheap.
Those recurring domains are the pages your category's answers are being built from. Visit each one, look for yourself, and note whether you are absent, listed with stale details, or filed under the wrong category. That list is your task list, and you did not have to guess at it.
State What You Sell in Concrete Terms Price range, lead time, geography, capacity, what you decline. This feels commercially sensitive and it is the material that makes your pages quotable, so an agency that does not have it will write vague content by necessity.
Use the first quarter to learn how they handle bad news, because there will be some. A rendering problem nobody anticipated, a correction request refused, a rewritten page that earns nothing. How those get reported in month two predicts how a flat quarter will be reported in month eight, and it is far easier to change supplier at ninety days than at a year.
If the baseline exists, access problems were found and fixed, listings were corrected with names attached, and the source list has begun to move, the engagement is on track even if mention rate has not shifted. If none of those happened, the next ninety days will not be different from the first. get recommended by ai
This frequently produces the first result of the engagement, because access failures are total and fixing them can change answers within days. It should also be short. A fifty page technical audit at this stage is usually padding drawn from a generic template.
The first is accuracy. Somebody inside the business has to confirm that what gets published about your products, pricing and capabilities is true. The second is the third party work, which occasionally needs a decision only you can make, such as whether to engage with a critical review or approach a publication.
A reasonable definition: after two quarters, no increase in mentions on buying intent prompts, no improvement in the accuracy of how you are described, and no new citations from the sources your category's answers are built on. If all three are flat, the work is not landing.
Pull the questions from sales calls, support tickets and the query report in Search Console rather than from a tool's suggestion list. Real questions have specifics in them that generated ones lack, and the specifics are what makes the answer quotable.
Watch the quality of enquiries as well as the count. A common early signal is that conversations start further along, with the prospect already aware of your price band, your typical timeline and what you do not do, because a machine told them before they arrived. That shows up in sales cycle length and in fewer wasted calls long before it shows up in any dashboard.
This matters because the prompt set is built from it, and a prompt set written from segment language measures your positioning rather than your market. If your brief says mid market operations leaders, the prompts will use that phrase and no buyer ever will.
One thing to establish in week one is where everything lives. The prompt set, the baseline archive, the raw answers and the correction log should sit somewhere you control from the beginning rather than in the agency's systems. Retrieving them later is a negotiation. Having them from the start is an administrative decision nobody objects to at the outset.
Now a growing share of those questions produce an answer instead of a list. The assistant reads the sources, forms the opinion and hands you a recommendation. The comparison step that used to happen in the buyer's head now happens inside a model, using sources the buyer never sees.