Claude for SEO: 15 prompts that actually work

Claude↗is the strongest AI for SEOwriting and analysis in 2026. Here are 15 copy-paste prompts we actually use across client SEOprograms.

1. Keyword opportunity expansion

"I have a [industry] site targeting [head term]. Give me 30 long-tail keywordvariations grouped by search intent(informational, commercial, transactional). Output as a markdown table."

2. Content brief from top competitors

"I will paste 3 top-ranking articles for [keyword]. Analyze their structure and give me a brief for a post that covers everything they do plus 5 unique angles they miss."

3. Meta title + description generator

"For the target keyword [X] and the page title [Y], write 5 meta title options (≤60 chars, benefit-driven) and 5 meta descriptions (≤160 chars, with CTA)."

4. Featured snippet bait

"For the question [X], write a 40-60 word direct answer optimized for Google featured snippet."

5. Internal linking plan

"Here is a list of 50 blog posts on my site. Suggest 5 internal links for each new post I describe, prioritizing topical relevance over popularity."

6. FAQ schema generator

"Given this article [paste], generate 5 FAQ questions and concise answers (30-50 words each) for FAQPage schema markup."

7. Competitor gap analysis

"Here are my top 10 competitors [list domains]. Based on the pattern of their content, identify 5 topics they all cover that I do not, and 5 topics only I cover."

8. SERP intent classifier

"I will paste a list of 50 keywords. Classify each as: informational / navigational / commercial / transactional. Output as a table." (See Google's SEO Starter Guidefor the official documentation.)

9. Content decay audit

"Here is an old blog post [paste]. Identify 10 specific improvements to make it 2026-relevant: updated stats, broken links, missing sections, better structure."

10. Topic cluster builder

"For the pillar topic [X], build a topic cluster: 1 pillar page+ 8 supporting posts. For each, give title, primary keyword, and one paragraph brief."

Prompts 11-15 for free

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Frequently asked questions

Is this approach right for early-stage companies?

Most frameworks in this space assume a certain level of operational maturity, dedicated team members, established measurement infrastructure, some history of experimentation to build on. Pre-seed and seed-stage companies often lack these prerequisites and need a lighter-weight adaptation. For brands doing under $3M in annual revenue, focus on three or four of the principles that matter most for your specific business model rather than trying to implement the full framework at once. Rigor matters more than coverage at this stage.

How does this work for B2B versus B2C businesses?

The underlying principles around claude for seoapply across both contexts, but execution differs meaningfully. B2B ai tools typically has longer sales cycles, multiple stakeholders per deal, and consideration periods measured in months rather than minutes. Measurement frameworks need longer windows. Attributionbecomes more complex. The same core strategic logic applies, but the tactical implementation looks different. We've worked extensively in both contexts and can flex the approach accordingly.

What changes when we integrate this with existing systems?

Every implementation requires integration work, systems don't exist in isolation. Analytics platforms, CRM, email systems, ad accounts, BI tooling all need to talk to each other for this to work at scale. Plan for 2-4 weeks of integration work at the start of any implementation. Shortcutting this phase creates data quality issues that compound and undermine the entire program over 6-12 months. We've seen teams skip integration work to move faster, only to spend 6 months later reconciling measurement discrepancies that could have been prevented upfront.

When should we reconsider the approach?

Every 6 months, run a structured review against the principles outlined here. Ask whether the market has shifted meaningfully, whether your business model has evolved, whether competitive dynamics have changed. Frameworks should evolve with context. A rigid commitment to any specific approach, including ours, eventually becomes the problem rather than the solution. The teams that outperform long-term are the ones that update their operating model based on evidence, not the ones that defend past decisions.