The article criticizes optimizing B2B content for search algorithms, arguing it leads to generic content that doesn't convert buyers, and suggests using sales call transcripts for more effective keywords.
Ok I need to get this out because I had this exact argument with a client's marketing lead last week and I lost and I'm still annoyed about it. [context in short... Agency, 8 years, started with SaaS MVPs, now GTM and AI automations] When a company brings us in for GTM I usually get handed the content stack too. So I've sat inside the analytics of something like 15 B2B blogs at this point and I look at the same two numbers every time. Traffic by page and demos by page. Here's the pattern and it's the same every single time. The top page is some pillar piece. "What is revenue operations", "best CRM for small business", "complete guide to X". 8k, 12k visits a month, one time 40k (that one was in the board deck lol). Ranks #1 or #2 and everyone's proud of it and in its entire life it has produced zero demos. The reason is dumb . Think about who types the biggest keyword in your category into google. Students, Competitors, a guy writing his own blog post about it. Someone who already bought a CRM and wants to know if he got ripped off. The person who's about to spend $30k on your software has had the problem for 8 months already, he doesn't google "what is revenue operations", he knows what it is, it's his job title. He googles the symptom. "hubspot deal stage not syncing to quickbooks" or "reps skipping discovery notes fix". Search volume is basically inversely related to how close the person is to buying and no one will say it out loud because the whole business is priced on traffic. Now the part that actually ruins the writing which is what the argument last week was about. When you optimize for the algorithm you end up writing about the category instead of the problem. Google's idea of "revenue operations" is the wikipedia definition, so to rank you write the wikipedia definition with your H2s in the right order and a demo button at the bottom. 3k words, every sentence true, and the person who could buy from you reads two paragraphs, can tell it was written for a crawler and leaves. Here's the test I use... Could your closest competitor publish this word for word with their logo swapped in? If yes then it fails. The whole genre is technically correct and commercially useless. I've read "10 onboarding best practices" posts where I couldn't find one wrong sentence and also couldn't find one sentence that would change whether anyone buys. That's the real failure mode and it's way more common than bad content tbh. Bad content at least has an opinion in it. And I'll say the part that's going to get me downvoted by every content agency in here. The AI overview already ate your pillar page. "What is X" gets answered on the results page now, the click doesn't happen, your 12k visits are going to be 4k by spring and you'll blame a core update. The only stuff that survives is the stuff an AI can't summarise into 3 lines. The underrated thing and I've said this to probably every client and maybe 2 have done it. Your keyword list is your sales call transcripts. The phrase the prospect used to describe his problem on the call, word for word, that's the post title. Zero volume in Ahrefs. It'll get 150 visits a month and every single one of them is him. Your sales team also already knows the 5 objections that kill deals. Rant over. Go pull demos by page instead of traffic by page. It's a 10 minute report and it's going to ruin your week. TLDR: sat inside 15+ B2B blogs, the #1 ranking page has never produced a customer on a single one of them. The biggest keyword in your category is searched by everyone except buyers. Writing for the algorithm makes you write about the category instead of the problem, and the AI overview is eating that page anyway. Your real keyword list is in your sales call transcripts.
The user questions whether people will still create quality content if AI-driven search reduces traffic and benefits for writers, potentially leading to a decline in content quality.
Discussion on how AI agents like ChatGPT, Perplexity, and Claude are shifting user search behavior away from traditional Google searches, potentially making SEO less about ranking articles and more about brand authority and structured data.
AI search engines extract and paraphrase content from pages, prioritizing citeable, evidence-backed material over generic summaries. Content creators should focus on writing for citation rather than just clicks.
The article discusses the emerging challenge of making products easily understandable to AI agents, distinguishing it from traditional SEO and highlighting the need for structured data and clear functional boundaries.
This article discusses a strategy used by B2B SaaS companies to enhance visibility in AI-powered searches like ChatGPT by leveraging mentions on trusted pages. CrowdReply reportedly improved a CRM software's AI search rankings significantly with this method.