AI made posting nearly free. Trust is the scarce thing now
When anyone can post at no cost, volume stops being an edge. What platforms, surveys and one study say about AI content, and why I'd publish less.
Writing / Section
Outbound, lead data, scoring and the tools revenue teams actually need. 19 articles, newest first.
When anyone can post at no cost, volume stops being an edge. What platforms, surveys and one study say about AI content, and why I'd publish less.
At Gaba Healthcare, 1.8% of visitors booked. I rebuilt the pages before spending more, and the rate reached 5.0%. The steps, the limits of the proof, and where AI helps.
McKinsey, BCG and Gartner point the same way: the tools aren't what holds teams back. A practical order of steps for a social team, with the sources and my caveats.
I wrote the steps down first, then let Claude, n8n and Make do the reading. Weekly research fell from four hours to one. What worked and what broke.
Most social teams start AI on writing posts. I'd start on listening, because it feeds every other decision. A practical case and the rules.
Google and Meta now automate targeting, copy and budgets by default. A monthly audit of what's switched on, what you feed it, and proof it works.
Social, search and AI assistants are merging into one place where people find things. What the evidence shows, what it doesn't, and what social teams should change.
A few hooks, many rewrites of each, and budget that follows sales. How a team tested 120 ad copy variations at The Cirqle, what went wrong, and where AI helps now.
AI can handle many social replies, but not the blame. A tribunal ruling, the EU chatbot rule and customer data point to a three-tier policy.
Write the steps down, then automate them in n8n or Make. The same weekly brief, side by side in both tools, with the checks that keep it honest.
Companies score leads on engagement (opens, clicks, page views), then wonder why the high scores don't close. Engagement shows interest. It doesn't show fit.
Transcription accuracy is a given now. What matters is whether a bot announces itself in your meeting and where the recording lives. Here's how to pick, and where each one stops being enough.
AI made cold email easier to write and harder to land. Inbox providers now run AI filters that catch templated outreach. What works uses AI for research and timing, not volume.
The AI SDR market is full of bold promises, hidden prices and at least one real scandal. What works, what the categories mean, and how to tell if you need one at all.
AI lead-gen has split into dozens of tools that each solve one piece. Here's what works, what it costs, and the one thing (data accuracy) that decides whether it pays off.
These three tools get compared as rivals, but they do different jobs. For most mid-market teams the answer is a combination. Here's the breakdown by team size and budget.
The average B2B team runs 12 sales tools. The best run 6. Here's a lean stack, layer by layer, that covers a real sales motion, and the categories you can skip.
An SDR fills the pipeline. They find and qualify prospects so account executives can close. What the role is, how it differs from a BDR, what it pays, and how AI is changing the job without ending it.
Conversation intelligence records, transcribes and analyses your sales calls. What it does, how Gong and Chorus compare, and the cheaper tier the big vendors don't mention.