Operator playbooks, every week.

What SEO Teams Actually Need From LLMs Before Choosing Skills, Prompts, or Workflows

LLM skills vs prompts vs workflows for SEO teams: which layer to invest in first, what the framework misses, and where structured data fits in.

SEO Skills for AI Agents: How to Buy the Right Ones

Learn what SEO skills for AI agents are, how they work inside LangChain and CrewAI, and how to evaluate and buy the right SEO agent skill modules in 2026.

What Does the Keyword Research AI Agent Skill Return and Should You Buy It?

Deep guide to the keyword research AI agent skill: what it does, what it outputs, how it chains with other SEO skills, and what to confirm before buying.

What Does an SEO Content Generation AI Agent Skill Produce and How Do You Evaluate One Before Buying?

Learn what an SEO content generation AI agent skill produces, how it enforces on-page SEO rules automatically, and how to evaluate quality before buying from the marketplace.

What Is the Topical Map Generation AI Agent Skill and How Do You Buy It?

Learn how the topical map generation AI agent skill builds entity-attribute architectures, what it outputs, and how to purchase and deploy it in your SEO pipeline.

What Are AI Agents and How Do AI Agent Skills Fit Into Their Architecture?

Learn what AI agents are, how their architecture works, and where AI agent skills plug into the tool-use layer — from perception and memory to skill invocation.

How Do AI Agent Skills Automate Full SEO Workflows End to End?

Learn how AI agent skills automate full SEO workflows end-to-end, from keyword research through publishing, using chained skill modules and orchestration layers.

How Do You Add SEO Skills to a LangChain Agent and Invoke Them Through the Tool Interface?

Learn how to add SEO skills to a LangChain agent using Tool and StructuredTool wrappers, invoke them via AgentExecutor or LangGraph, and debug integration errors.

What Can Large Language Models Not Do for SEO Without Dedicated AI Agent Skills?

Discover what large language models cannot do for SEO without dedicated AI agent skills — keyword hallucination, crawl failures, and why prompts alone fall short.

Which AI Agent Skill Architecture Should You Choose: Self-Contained or MCP-Backed?

Self-contained skills vs MCP-backed skills in AI agents: trade-offs in latency, security, portability, governance, and when to choose each pattern in 2026.

Which Data Sources Do SEO Skills Need?

Which data sources do SEO skills need? Map every required stream: first-party search data, behavioral analytics, technical crawl, competitive intelligence, semantic, civic, and behavioral-science sources.

What Prompt and Instruction Patterns Govern SEO Agent Behavior?

A structured guide to prompt and instruction patterns for SEO agents: system prompts, chain-of-thought, ReAct, negative constraints, few-shot design, and hallucination mitigation.

What Does It Really Cost to Run an AI SEO Agent in 2026?

A full cost breakdown of running an AI SEO agent in 2026—LLM APIs, SEO data providers, hosting, hidden fees, and realistic monthly budgets by scale.

Should You Run SEO Agents Locally or in the Cloud?

Running SEO agents local vs cloud: compare costs, security, scalability, and orchestration realities to decide which deployment model fits your workflow in 2026.

How Do You Delegate Keyword Research to an AI Agent?

Step-by-step guide to delegating keyword research to an AI agent: tools, prompt setup, validation gates, and human checkpoints that keep the pipeline honest.

How Do AI Agents Classify Search Intent Across Multi-Step Tasks?

Learn how AI agents classify search intent using LLMs, semantic embeddings, and trajectory-aware pipelines — and where routing logic breaks down in production.

How Do AI Agents Read and Interpret the SERP?

How AI agents read and interpret the SERP: retrieval methods, SERP feature parsing, entity resolution via Knowledge Graphs, RAG integration, and citation collapse risks explained.

How Do AI Agents Run a Competitor Gap Analysis?

Learn how AI agents run a competitor gap analysis in 2026: multi-agent architecture, AI visibility gaps, ROI prioritization, and human validation checkpoints.

How Do AI Agents Build a Topical Map?

Learn how AI agents build a topical map using ReAct reasoning loops, knowledge graph grounding, modular tool selection, and state management to produce authoritative content architecture.

How Do AI Agents Write Content Briefs?

Learn how AI agents write content briefs: the step-by-step process, RAG architectures, winner's bias risks, enterprise vs. DIY trade-offs, and when human oversight wins.

How Do AI Agents Write SEO Content?

Learn how AI agents write SEO content: the workflow steps, orchestration frameworks, Google's policy, E-E-A-T limits, and governance requirements for 2026.

How Do AI Agents Edit and Humanise Drafts in an Editorial Workflow?

Learn how AI agents edit and humanise drafts, from multi-agent pipeline structure to humanisation techniques, risks, and workflow design best practices.

How Do AI Agents Plan Internal Links for SEO?

Learn how AI agents plan internal links for SEO: planning methodology, PageRank modeling, anchor text logic, crawl depth, and where automation breaks down in 2026.

How Do AI Agents Generate Schema Markup for Websites?

Learn how AI agents generate schema markup: the step-by-step pipeline, JSON-LD output, validation limits, hallucination risks, and GEO citation readiness in 2026.

What Is the Methodology Inside Semantic SEO Skills?

Understand the real methodology behind Semantic SEO skills: topical authority, entity-attribute-value analysis, information gain, and where practitioner frameworks quietly fail.

Semantic SEO Fundamentals

How Do AI Agent Skills Build Topical Authority Systematically?

Learn how to use AI agent skills to build topical authority systematically — covering content planning, publication order, internal linking, and measurement. 2026 guide.

How Model Context Protocol Connects AI Agents to SEO Tools

Learn how Model Context Protocol (MCP) connects AI agents to SEO tools like DataForSEO and SEMrush, including architecture, security risks, and real deployment limits.

The 2026 EEAT playbook for AI-written content (without getting nuked).

Google's March 2026 core update gutted thin AI content. The pages that survived weren't human-written — they were AI-written with deliberate Experience, Expertise, Authoritativeness, and Trust signals. Here's the exact framework, with prompt-level recipes.