The ones showing up in LLMs convert 3× better than Google
They optimized for LLMs, not just Google.
FAQs. Comparison pages. Transparent pricing. LinkedIn presence. These aren't vanity plays. They're what gets you cited in ChatGPT, Gemini, and Claude when your buyers are researching, your investors are looking, and your future hires are deciding where to work.
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You wrote it in the last week of the year.
Maybe your manager asked for it. Maybe you volunteered it as a signal that you were serious about next year. Either way, you opened a blank doc in late December and wrote down a version of the future that felt right from where you were sitting.
Forty accounts you were going to penetrate. Three verticals you were going to own. A pipeline coverage ratio that assumed every outreach sequence would perform at the high end. A quota attainment number at the top — 130%, 140% — with a set of assumptions underneath it that you believed at the time.
It is now March. Pull up that plan.
How much of it is still true?
Not the goal. The assumptions underneath the goal.
The accounts you planned to penetrate: how many have you actually worked? The verticals you were going to own: did the deals you chased in Q1 actually come from those verticals? The pipeline coverage ratio: what is your actual coverage right now against the number you wrote down?
Most reps who do this exercise honestly find that their territory plan stopped being accurate sometime in January. Not because they were bad at planning. Because the plan was built on assumptions that could not survive contact with the actual quarter.
Two things kill territory plans before February.
The static account list problem. A territory plan written in December is based on the accounts that existed in December, the signals available in December, and the priorities that made sense in December. By February, three of your best accounts have had leadership changes. Two others have announced budget freezes. One you ignored because it never responded to cold outreach just posted a VP of Operations job that screams buying trigger. The plan does not know any of this. It just knows what you wrote.
The coverage math illusion. You wrote down a pipeline coverage ratio. You probably wrote 3x. Research consistently shows that for most enterprise deal profiles, 3x coverage produces quota attainment in the 70 to 80% range, not 100%. Top performers run 4 to 5x coverage because they know how many deals will stall, push, or die quietly in procurement. The plan looked fine in December. The math was wrong from day one.
The reps who hit their number do not have better territory plans. They have a different relationship with territory plans entirely. They treat them as a starting hypothesis, not a document. They rebuild the list every quarter based on current signals. They run coverage math against actual deal velocity, not industry benchmarks. And they drop accounts faster than anyone else because they know that an account on the wrong list is not a pipeline problem waiting to be solved. It is a time problem bleeding into the accounts that could actually close.
Friday I am sending the full system.
The rolling pipeline model that replaces static territory planning. The coverage ratio that actually matches your deal profile. The 90-day territory sprint for when you are starting fresh or rebuilding after a rough quarter. And the monthly territory review ritual that keeps your plan honest without taking four hours every time.
Active readers only.
Dingo
P.S. A rep I know in Seattle had a territory plan that called for 4x pipeline coverage by end of Q1. She hit March 1 at 2.1x. The plan said she was fine. The math said otherwise. She ran the rolling pipeline model from Friday's framework, identified the six accounts most likely to close in Q2, and rebuilt her coverage around those six in three weeks. She closed Q2 at 118%. The plan she wrote in December had nothing to do with it. Start with the diagnostic if you want the same clarity on your territory right now.



