From 5 days to 10 minutes: an SEO Agent that builds data-driven content plans

The problem:

The agency wanted to scale profitably, but their SEO planning process was too time-intensive and pulled senior strategists into repetitive work:

• •auditing existing content architecture
• •finding gaps, duplicates, and irrelevant pages
• •clustering topics and mapping a "should-be" hierarchy
• •pulling keyword difficulty / opportunity signals
• •converting all of that into a plan writers can execute

This made delivery slow, margins thin, and growth hard.

Their current approach:

For each client:

• 1.Manually review pages + site structure
• 2.Audit SEO fundamentals (H1/H2/H3, meta, intent alignment, internal links)
• 3.Research keywords and difficulty
• 4.Build topic clusters
• 5.Write up a 6-month plan + scope writers

Time cost: ~4–5 days per content plan.

The consequences:

• •Strategy became the bottleneck
• •Scoping stayed fuzzy → hard to staff writers confidently
• •Delivery timelines stretched → lower throughput per month
• •Scaling meant "add headcount," not "increase leverage"

The goal: turn days of manual SEO planning into a fast, repeatable, data-driven system — while keeping strategist judgment.

1. Crawl the website and map the real content inventory

The agent crawls the site to build an "as-is" picture:

• •all indexable URLs and paths
• •current hierarchy and category structure
• •patterns that signal intent (blog vs landing vs product/support)
• •basic on-page structure signals where available

This replaces hours of manual tab work.

2. Connect to SEMrush so the plan is grounded in real SEO data

Instead of letting an LLM "suggest topics," we wired the agent into SEMrush to pull actual signals:

• •keyword sets relevant to the site and its themes
• •difficulty / competition indicators
• •related queries and cluster candidates
• •opportunity areas and gaps

This is the difference between data-driven planning and "looks plausible" planning.

3. Generate topic clusters + a reviewed content hierarchy

Based on crawl + SEMrush data, the agent proposes:

• •pillar topics and supporting cluster pages
• •gaps to create, pages to consolidate, duplicates to resolve
• •recommended hierarchy and internal linking structure
• •page templates and structure guidance (H1/H2/H3 + meta direction)

So the agency gets an actual blueprint, not just a topic list.

4. Output a personalized 6-month plan that's immediately scopable

The agent generates a month-by-month plan:

• •prioritized topics by cluster and intent
• •what to publish first vs later (based on opportunity + fit)
• •enough structure to estimate effort and staff writers accurately
• •clear deliverables the team can execute quickly

5. Human-in-the-loop review to keep quality high

Strategists review and adjust:

• •priority ordering (business goals, seasonality, constraints)
• •cluster boundaries and intent nuances
• •edge cases where data needs context

Result: speed + consistency without sacrificing judgment.