DevriX is a Europe-based revenue operations consultancy that works with private equity-backed and mid-market companies. Its team builds revenue infrastructure across the full investment lifecycle, from pre-close diligence through exit.
DevriX helps businesses manage and scale their digital operations, supporting clients that collectively generate over $1.65 billion in annual digital revenue and $730 million in e-commerce transactions.
From manual SEO research to automated content operations
DevriX replaced time-consuming SEO research and reporting with AI-powered workflows that integrate with the Semrush API. The team now monitors keyword performance, identifies opportunities, and turns findings into content updates or new articles, with some content updates already fully automated.
Manual SEO reporting made opportunity detection time-consuming
Before integrating Semrush API, DevriX's marketers relied on manual data collection and reporting to understand organic search performance.
To identify changes in keyword performance and emerging trends, the team had to pull reports, gather the required metrics, and compare historical periods for each website.
This process required considerable hands-on work. Marketers spent hours moving between reports, analyzing data, and looking for openings that could inform their SEO and content strategies.
The challenge wasn't simply to access data but to convert that data into consistent actionable insights, without repeating the research and analysis steps across multiple projects.
From Semrush data to AI-powered content workflows
DevriX has connected Semrush SEO data to AI-powered workflows that help the team analyze search performance, detect opportunities, and initiate content updates.
Semrush API provides access to SEO, traffic, and local marketing data, while Semrush MCP makes supported data accessible to AI agents. This allows DevriX to analyze search performance and pinpoint areas to target without manually exporting reports or switching between dashboards.
1. Bringing SEO and competitor data into AI workflows
Using Semrush API data, AI agents can analyze domain performance, organic keyword positions, competitor rankings, and historical trends.
For example, Domain SEO Performance data provides insights into any domain’s organic search visibility, estimated traffic value, and ranking changes over 24+ months.
Organic Growth Tracker adds competitive context by comparing keyword positions and overlap across domains. This helps reveal where competitors have stronger organic visibility and where potential openings exist.
Through Semrush MCP, DevriX can bring this data directly into AI assistants, so that agents can analyze patterns, highlight areas for focus, and pass findings to connected tools for further action.
2. Detecting SEO opportunities every week
One of DevriX's workflows focuses on weekly monitoring and opportunity detection.
AI agents analyze Semrush data to track keyword movements, identify terms that are gaining or losing visibility, and uncover competitor gaps for the target audience.
Using Semrush’s SEO Keyword Research, agents can also evaluate options based on keyword difficulty, search volume, CPC benchmarks, and related queries. This helps them identify keywords with relevant search demand and realistic opportunities for organic visibility.
For DevriX's own properties, AI agents can also combine Semrush competitive data with first-party impressions from Google Search Console, where available.
For example, DevriX can ask AI agents: “Find the top 20 organic keywords for 5 competing websites and identify bottom-of-funnel opportunities relevant to my ideal customer profile (ICP).” The connected agent will then analyze Semrush data and highlight keywords to target.
The result is a recurring process that helps the team move beyond monitoring performance and identify specific areas to target.
3. Turning opportunities into content actions
Once those priorities have been identified, DevriX's AI-powered workflows can initiate content refreshes or create new articles.
For existing pages, keyword movements and search demand signals can inform updates to improve content or boost organic visibility. For new content, competitor gaps and keyword opportunities can help align article topics with the search intent of the target audience.
These processes go beyond analysis. DevriX connects its AI agents to downstream tools that can help turn findings into content with less manual work. The team has already fully automated some content updates, allowing them to maintain and improve existing pages more efficiently.
"The biggest win from using the Semrush API is finding insights in data, and with pre-trained memory, it's saving hours with tasks that now take minutes."
CEO, DevriX
Less work, more action with AI agents
By connecting Semrush data to AI-powered workflows, DevriX has reduced the manual effort needed to collect, compare, and analyze SEO data.
Research and analysis that previously took hours can now take minutes, with AI agents helping surface insights directly from Semrush data.
Weekly monitoring also gives the team a more systematic way to detect keyword changes and content opportunities. Instead of stopping at analysis, AI agents can help initiate content refreshes and new articles. DevriX has already made some content updates fully automatic.
With Semrush API, DevriX now spends less time on repetitive SEO tasks and can connect its research more directly to content production.
