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Built AI-powered workflows to automate SEO tasks

Guided workflows that turn hours of manual SEO work into a few clicks.

Semrush is a leading SEO and digital marketing platform helping businesses improve their online visibility.

Too many tools. No clear starting point.

Semrush has powerful data, but getting to an answer takes too many steps. Users were getting lost before they got value.

AI raised the bar.
Marketers started expecting faster answers, less manual work, more automation. The tools they used daily were changing. Semrush needed to change with them.

Too many tools
No clear starting point
Slow time-to-value

The goal

Make complex SEO tasks simpler and faster, without adding more complexity to the platform.

Led end-to-end design

I led the project from discovery through launch, driving research, product strategy, MVP definition, UX design, validation, and delivery.

Key Achievements

80%
workflow initiation rate: users initiated a workflow on first visit. Organic activation, no onboarding tour, no marketing
2.000
MAU: active users in the first month, zero $ spend
40%
MVP retention

Starting from Semrush's global research

Semrush runs research continuously across many teams, so this project already had inputs to build on. As AI and automation surged, an existing large-scale study had mapped exactly which parts of SEO users were ready to automate. That became our starting point, and told us what users most wanted simplified.

Workflows users are ready to automate

Hypothesis

Take the most popular, core tools and simplify them as far as possible, simpler setup, simpler report, then validate qualitatively how users react.

Take existing Semrush tools and simplify the setup and report

Even seasoned SEO specialists (5+ years) found it hard to know how to work and what to do. The goal was to strip out the complexity and keep the essentials, without losing actionability.

The existing tool in Semrush

It's complex for users with little experience, who need to know exactly what to do and how.

The existing Semrush tool
The same functionality inside a workflow

The same functionality, inside a workflow

As you can see, it's stripped down to the essentials, but without losing actionability.

Primary research

Alpha testing, 3 initial workflows. Mixed results, but the findings were genuinely useful.

To prioritize, we assessed workflow frequency of use, skill requirements, and time cost. This process revealed three focused workflows.

2 of the 3 workflows were just a simplification of information that already existed in Semrush. That didn't work, users said they had already seen it. The remaining workflow was new: that kind of information isn't easy to find, and it drew a lot of positive feedback.

AI Marketing Booster workflow library and research interviews

Secondary research

New workflows testing. 10 in-depth interviews • 40 min each • 3 SEO specialists + 7 non-SEO users.

9 out of 10 users accepted AI-powered, non-SEO workflows as a natural fit for Semrush, validating the product's potential beyond the core SEO audience.

This is a lot more in depth and is doing a lot of the research for me.

User. Beta research summary

Research interviews

Users need actionable data, not AI-formatted versions of data.

AI workflows earn user trust not by using AI, but by showing something the user couldn't see before. This became the filter for every subsequent design decision.

Launch three focused automated workflows and validate their value for users

Discovering uncovered areas of automation opportunities.

First entry: Landing page

The landing page presents a library of predefined SEO jobs.

Each workflow clearly communicates:

  • the problem it solves
  • the expected outcome
  • estimated effort
  • potential time savings
AI Marketing Booster landing page

Setup: Easy and visible

Users wanted to understand what happens after clicking Run Workflow.

To make the process transparent, the setup shows:

  • which data sources will be used
  • how the workflow processes information
  • what output users can expect
Workflow setup

Output: Clear priorities, clear next steps

The goal is not to show more information, but to help users make progress.

Workflow output with next steps

Three principles. Each earned from research, not assumed.

New data, not repackaged data

If users could find it elsewhere in Semrush, we rethought it.

Answers inside the interface

Users always asked "what do I do now?" We stopped linking out. We put the answer next to the data.

Test concepts first, not after.

Test concepts before building them, not to spend a lot of time.

Outcomes

The product validated AI workflow automation as a scalable direction for Semrush.

Without a single marketing email, launch announcement, or in-product push:

As a result, the product evolved around guided workflows designed to reduce manual work, simplify research, and help users move from analysis to action faster.

Key Learning

Not every workflow generated meaningful adoption.

Some concepts that seemed promising showed limited demand after launch, reinforcing an important principle:

The challenge is not building more workflows. It's building the right workflows.

Long-term Impact

As new workflows were introduced, users had more reasons to return to the product and incorporate it into their day to day work.

The success of the initial release led to continued investment in new workflows, some of which later achieved retention rates above 80%.

The learnings from this project also influenced future AI initiatives across the Semrush ecosystem.

Next steps

Add custom workflows for more experienced users.
Plan the marketing and positioning of the new tool, how to embed it naturally and natively into the way SEO specialists already work.

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