The Problem
Every SEO audit we ran started the same way. Someone logs into SEMrush. Runs five different reports. Exports them to spreadsheets. Manually compiles findings. Organizes by category. Creates a summary.
Our lead SEO person was doing this for every client. Not the strategizing. Just the data gathering and compilation. 6 hours per audit.
We were running 15-20 audits per month. That's 90-120 hours monthly on compilation alone. From just one person.
The Solution
Build an agent that does the compilation. Logs into SEMresh. Runs the right reports. Extracts the findings. Organizes them in our format. Flags the critical stuff.
Straightforward idea. Not straightforward implementation.
What We Actually Built
The agent:
1. Takes a target domain and project scope
2. Logs into SEMrush
3. Runs the technical audit, backlink audit, competitive analysis
4. Pulls findings for each category
5. Translates findings into our format
6. Ranks by impact and effort
7. Creates a structured brief for our strategist
Output: A document that's 90% ready to send to the client. Our strategist spends 30 minutes reviewing, adding context, making sure it matches the client's specific situation.
The Numbers
Before: 6 hours of data work + 2 hours of strategist review = 8 hours total
After: 2 hours of strategist review (15 minutes agent review + 105 minutes strategy layer) = 2 hours total
That's 6 hours saved per audit. At $75/hour that's $450 per audit.
At 20 audits per month, that's $9,000 per month or $108,000 per year.
What Made This Work
SEMrush has an API. We could automate the pulling of data. That was the key unlock. If we were copying and pasting data manually, we couldn't have automated it.
The output was structured. We have a specific format we use. The agent could learn that format and replicate it.
The task was high-frequency. This happens regularly enough that the build cost made sense.
What Took Longer Than Expected
Translating SEMrush findings into human-readable language. The API gives you raw data. Converting "80% of backlinks are from a single domain" into a strategic insight that makes sense to a client took more work than we expected.
Edge cases. Every audit is slightly different. Some clients have lots of backlinks, some don't. Some are in competitive niches, some aren't. Building an agent that handles that variability took iteration.
Integration. Making sure the agent could authenticate reliably and handle API changes.
The Real Win
The money is nice. But here's what actually changed: We could take on more clients because we weren't bottlenecked on audit compilation. We could do deeper strategy work because our team wasn't spending time on data gathering. Our team was happier because they were doing the work they actually want to do.
That's what automation is supposed to feel like.
Next Steps
We're building a similar agent for our paid media audits. Same pattern. If you're running audits for clients, this might be worth exploring for your business too.