This is an example of what lands in your inbox every Monday morning. Real delivery to a real beta user (Sarah, B2B go-to-market consultant).
Editing checklist:
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Three things connected this week: where buyers actually research, which channels are converting, and what content survives AI curation. Short on context. Long on what to do with it.
Numbers first.
58.5% of Google searches now end with zero clicks. ChatGPT has 900 million weekly active users. And the average B2B purchase cycle is 272 days — 81% of that time spent in research mode, before any supplier is contacted.
By the time a founder gets on a discovery call, the buyer already has a view. They've searched, scrolled, and reached a conclusion about whether this company belongs on the shortlist. They're not evaluating from scratch.
For your clients, this isn't a content problem. It's a pipeline problem. If they're not showing up during that 272-day window — in AI answers, LinkedIn feeds, search snippets — they're not losing deals on calls. They're not getting on the calls.
What to do this week:
LinkedIn published benchmark data this week. Worth saving:
Budget share is moving too — LinkedIn up from 39% to 41% of B2B ad spend. Non-branded search down, with CPC up 29% and click-through rate down 26% year-on-year.
The mistake most teams make: measuring LinkedIn on click metrics, same as paid search. Wrong comparison. LinkedIn isn't direct response. It's where founders get into the shortlist during that 272-day research phase. Measured at account level — which target company saw your content — it wins consistently.
What to do this week:
Kevin Indig studied 354,000 pages. Finding: one question answered thoroughly outperforms five questions answered adequately. Comprehensiveness isn't the signal. Depth on one specific thing is.
Ann Handley adds the AI filter lens: if an AI could have written it, an AI will summarise it before a human ever sees it. Generic content collapses at the inbox. Specificity and voice get through.
Add one question to every content review with clients: "What's in here that AI couldn't generate from existing sources?" A named client moment, a hard-won observation, a counterintuitive data point. If the answer is nothing — don't publish it.
The practical starting point: help each client name their one "owned question." The thing they can answer better than anyone else in their niche. That's the content strategy for the next quarter.
Editing checklist:
LinkedIn just published its B2B ad benchmark data. One platform showed 121% ROAS. The other two showed negative ROI.
LinkedIn was the one that worked.
The reason most teams miss this: they're measuring LinkedIn on click metrics — same as they'd measure paid search. That's the wrong comparison. LinkedIn isn't direct response. It's where founders get into the shortlist.
The average B2B purchase cycle is 272 days. 81% of that time is spent in research mode, before any supplier is contacted. LinkedIn is the channel where buyers form a view during that window. Measured by which target accounts saw your content — not who clicked — it wins consistently.
Here's what to do with this:
The measurement shift matters more than the channel shift. Most B2B founders are underinvesting in LinkedIn because they're evaluating it with the wrong ruler.
If you advise on channel mix — how are you currently making the case for LinkedIn to founder clients? And does this data change anything?