How to write an SEO strategy

An effective SEO strategy starts with understanding what your client's business actually needs to accomplish. Before you touch keyword research, audit their current situation—where they rank, what traffic they're getting, and more importantly, what that traffic converts to. Talk to their sales team about which leads actually matter. A strategy built on vanity metrics kills client relationships. Once you know what success looks like financially for them, you can reverse-engineer the keyword targets, content needs, and technical improvements that will drive that outcome.

Build your strategy around customer intent and the buyer journey rather than arbitrary ranking goals. Map out the keywords that matter at each stage—awareness, consideration, decision—and identify which pages need to exist or be improved to capture those searches. This is where most strategies fail: agencies list hundreds of keywords without considering whether ranking for them actually moves the needle. Instead, prioritize a smaller set of high-intent, high-volume terms that align with what your client sells. Be honest about competitive difficulty. If you're competing against established brands with massive authority, your timeline and approach needs to reflect that reality. Include a realistic timeline for each phase—you can't rank for competitive terms in three months, and clients need to understand this upfront.

Your written strategy document should outline the current state, specific goals tied to business metrics, the keyword clusters you'll target, technical changes needed, content requirements, and ongoing optimization tasks. Include the tools and processes you'll use to track progress, and define what success looks like month by month. Don't create a hundred-page document—clients won't read it and it won't guide your team's work effectively. Instead, make it concise enough that everyone on your team can reference it weekly and stay aligned on priorities. The strategy should be flexible enough to adjust as you learn what's actually working through real performance data, but structured enough that it keeps you from chasing shiny objects when results feel slow. Finally, schedule quarterly reviews to measure what's working and adjust your approach based on actual results, not assumptions made at the start.