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AI SEO Agents Finish Tasks, Not Strategy: What Leaders Need

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Originally published on LinkedIn: read the original post For SEO leaders, the question behind every "AI agent" demo is simple: who decides what the agent should work on? An autonomous agent can audit a site, write briefs and update internal links. Those are tasks, and tasks are not strategy. A completed-task dashboard is not pipeline A report full of finished work doesn't tell leadership whether the business is closer to its buyers, or generating qualified pipeline and revenue. That connection is the part of SEO and GEO that needs a senior person. Example: the high-volume keyword trap Imagine a B2C software company. The agent finds a high-volume category keyword and builds a content plan around it. But the buyers may search for a specific problem or compare vendors, and the broad results may be dominated by publishers the company has little chance of displacing. Before ten pages are published, someone should talk to sales, understand what customers buy, study the co...
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SEO Retainers in 2026: Why Glossary Content No Longer Pays

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Originally published on LinkedIn: read the original post Several tech companies recently came to me after funding long-form blogs and generic "What is X?" pages for years. The problem is not the quality of the writing. It is that SEO retainers in 2026 still pay for a 2021 content strategy, and AI search has changed what that strategy earns. AI Overviews and ChatGPT took the easy questions When Google's AI Overviews and ChatGPT answer a basic question directly, nobody visits your glossary page. Ahrefs reported a 58% lower average CTR for top-ranking pages when AI Overviews appeared. Informational content is not completely dead, but traffic alone no longer justifies the budget. Enterprise buyers, meanwhile, search for technical, integration, security and procurement constraints that SEO tools often show as "zero search volume". Three high-intent SEO plays for B2B SaaS 1. Micro-ICP pages. Replace generic "Solutions for Fintech" pages with pages bui...
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When AI Speeds Up SEO and GEO Execution, Strategy Must Stay Human

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Teams that build real AI workflows tend to hit the same wall. Agents pull Search Console data in minutes, test how ChatGPT, Claude and Gemini describe the category, cross-check analytics and publish at scale, so the hours saved are real. Then organic growth stalls. The reason is easy to miss. Once the system handles data and execution so well, it feels natural to hand it strategy and messaging too. An AI system is only as good as the commercial judgment steering it, and deciding the right market, the right message and the right buyer question is the part it cannot do. What AI cannot decide in SEO and GEO strategy It will not study a flat pipeline and choose to drop broad industry traffic in favor of one underserved vertical where buyers are ready to sign. That decision comes from pattern recognition built on real deals: the objection that sank one last week, the questions a technical buyer asks before narrowing vendors to three. Why it matters for AI search Buyers now ask ChatGPT...
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AI SEO Agents Need Expert Judgment, Not More Volume

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Most AI SEO agents are fed the wrong material: tips, threads and trend posts collected from around the internet. That is second-hand advice, not experience. What's missing is what made SEO work in the first place: strategic decisions and quality control from a specialist who has done it for years. Without that, the agent is simply fast and confident, and often wrong. Publishing more pages doesn't fix it. Whether the goal is Google rankings, Google AI Overviews, or citations in ChatGPT and Gemini (GEO/AEO), content must be structured, useful and properly optimized, or Google treats it as noise. We've been here before. Fifteen years ago it was content spinning. AI content at scale without expertise is the same shortcut at higher speed, and it ends the same way. Put an F1 car in an amateur's hands and it just hits the wall sooner. Give the agent real experience instead: A decision hierarchy: what gets built and what doesn't. Content sequencing: what comes first, what f...
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