Dev Basu 🇨🇦/🇮🇳/🌎

Our 10-year target: To be the best in the world at SaaS marketing, doing work we love, with people we like, how we want. ⇢ We have the best people ⇢ We have the best process ⇢ We have the best clients ⇢ We have the industry's leading results ⇢ We have the best culture👇🏾

Predictable B2B growth comes from 4 connected layers: • Paid Media → capture demand • SEO + AI Search → get discovered • CRO → convert traffic • RevOps → measure pipeline When they operate separately, performance stalls. Connected together, they compound.

SEO focused on ranking pages. AEO focuses on being cited in the answer. That changes: • how content is written • how it’s structured • what gets rewarded Buyers ask AI differently than they search Google. The companies getting cited are adapting to that first.

~300M visits sent from ChatGPT in Feb 2026. Not usage. Outbound clicks. Buyers start in LLMs, then follow sources. Who gets the click: • direct, question-led answers • content built for decisions Who doesn’t: • broad, volume content Same inputs. Very different results.

@nickchapsas Been my daily driver since 4.7 came out

claude - - model claude-opus-4-6, thank me later

Leads up. Content live. Ads running. But revenue doesn’t follow. Common pattern: • clicks without demos • views without deals • sales vs marketing friction • unclear attribution What changes it: Attract → Engage → Convert → Measure One system. One outcome: pipeline.

@bradmillscan Use Hermes

the last 2 version of OpenClaw are not working for me. Agent chat has degraded significantly, and I finally found the culprit. context overflow happens because of excessive tool use, and then openclaw re-injects the last message you sent back to the agent. That's why the agent responds to the same thing over and over. I was having this excessive tool use problem back in March when I was last heavily using OpenClaw ... but it was giving me noisy errors ... now it just silently degrades and fails. The root cause of the problem didn't get fixed ... excessive tool use polluting the session and causing context overflow. The failure mode just changed from a warning message to off-by-1 chat degradation.

@kevinwlordbarry Human condition: easier to blame an agency, the ad platform, or AI search than to create a real point of view and put one’s name behind it. How do I know? The tell is when the same companies do not read the content they publish but expect their ICP to.

@devbasu It is weird to me how some companies that have $200,000 a month in ad spend can't budget $5,000 to make content sometimes.

Most B2B budgets pile into the same 5%. • paid ads • lead gen • cold outreach CAC climbs. Growth stalls. Better split: • 35% capture demand • 35% generate demand • 20% authority • 10% retargeting Own the 5%, then build the 45%.

SEO has evolved. Before: page 1 rankings Now: being quoted in the answer What works now: • quotable content • question-based pages • clear structure • real insights only you have Buyers read summaries first. Be the answer, not just another link.

“SEO is crushing it. We’re #1.” Great. But buyers aren’t starting there. They’re asking ChatGPT, checking Perplexity, reading AI answers first. Above surface: -rankings -traffic -impressions Below: -AI citations -mentions -answers If you’re not there, you’re invisible.

@cathrynlavery I’ve hardcoded to using Opus 4.6 on high effort because of this

Opus 4.7 produces beautiful, well-structured plans that confidently reference infrastructure that doesn't exist. Every single one I've reviewed has had serious issues when codex checks them 💀

You can rank on Google and still be invisible in ChatGPT. Why? Your content isn’t structured for how buyers ask. LLMs pull: • questions as headers • direct answers • FAQ sections Best source: Sales calls. Demos. Support tickets. Make your content easy to quote.

You can get TAM wrong in two ways: • fight over the 5% ready to buy • ignore them and chase “awareness” Both stall growth. Reality: • 5% in-market → capture first • 45% problem-aware → where you scale • 50% out-of-market → don’t spend here Capture demand, then expand.

If deals are stalling, more volume tends to add noise. The 30/60/90 playbook below shows a better sequence: • 0–30: fix leaks and unblock flow • 31–60: tighten ICP and targeting • 61–90: scale what converts Fix flow first. Then add volume.

@guilleflorvs These people are so smart they are inventing consulting 😂

Claude Status Page vs Whole Foods Three Pepper Blend Who wore it better?

Budget cut 20%. Pipeline still exceeded target. What we did: • stopped funding low-impact campaigns • reallocated to high-intent • refreshed top content instead of adding more Results: • MQLs at 72% • pipeline at 119% Less volume. More revenue.

Most B2B websites are built for the company, not the buyer. So you get: feature-heavy hero one “Get a demo” CTA long forms unclear paths High-converting sites do the opposite: lead with pain segment by persona match CTAs to intent Every element should move a decision.

Publishing more content won’t get you cited in ChatGPT. What does: • clear Q&A • direct, quotable answers • real insights from sales and demos Most of it already exists. It’s just not structured for AI. Teams showing up aren’t louder. They’re easier to quote.

@trq212 Is this a replacement for creating crons/launchd/plist jobs?

you'll need to explicitly prompt Claude Code to use it, but the Monitor Tool is super powerful e.g. "start my dev server and use the MonitorTool to observe for errors"