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Improvado connects SimilarWeb traffic and audience data to AI agents via MCP. Ask about competitor traffic trends, channel mix, referral sources, and audience overlap in plain English. Competitive research that used to take hours happens in seconds.
Stop toggling between SimilarWeb dashboards and spreadsheets. Ask your AI agent for traffic comparisons, keyword share, referral patterns, and audience demographics across any set of domains. The MCP server handles SimilarWeb API calls and data normalization.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Your AI agent doesn't just surface data — it structures it into competitive briefs, benchmark reports, and strategy inputs. Turn SimilarWeb data into something actionable without manual formatting.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Set your AI agent to alert when competitors make significant traffic moves — new traffic sources appearing, organic share shifting, or paid investment spiking. Know when the competitive landscape changes.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Your AI agent doesn't just surface data — it structures it into competitive briefs, benchmark reports, and strategy inputs. Turn SimilarWeb data into something actionable without manual formatting.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
Building a competitive landscape report means pulling data from SimilarWeb, cross-referencing multiple domains, formatting tables, and writing analysis. It takes a full day. By the time leadership reads it, the data is two weeks old and a competitor has already made a move.
Ask your AI agent for a live competitive snapshot in minutes. It pulls current SimilarWeb data for all specified domains, normalizes the metrics, and produces a formatted comparison — ready to paste into a deck or share as-is. Repeat whenever you need an update.
Your competitors are getting significant referral traffic from sources you've never considered. This intelligence is in SimilarWeb, but extracting it means pulling referral reports for multiple domains, sorting by volume, removing duplicates, and identifying sites that consistently appear. Nobody has time for that analysis regularly.
Your AI agent can analyze referral traffic patterns across multiple competitors simultaneously. It identifies high-volume referral sources that appear across several competitors — strong signals for partnership or content placement opportunities your team hasn't pursued.
You want to know which organic keywords competitors rank for that you don't. The process: export keyword lists from multiple competitors, compile them, remove your own rankings, sort by traffic potential, and deduplicate. It's a multi-hour spreadsheet job done by whoever can tolerate it.
Ask your AI agent to run the overlap analysis directly. It pulls keyword share data from SimilarWeb across all specified domains, identifies gaps, and ranks opportunities by estimated traffic volume. Hours of spreadsheet work becomes a two-minute query.
Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.
Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.
Traffic estimates (total visits, unique visitors, pages per visit, bounce rate), traffic by channel (organic, paid, direct, referral, social, email), keyword data (organic and paid), referral domains, audience demographics, geography breakdowns, and mobile vs. desktop split. Queryable for any domain SimilarWeb covers.
The MCP server returns exactly what SimilarWeb's API provides — the same data you'd see in the SimilarWeb dashboard. Accuracy depends on SimilarWeb's methodology, which estimates traffic using panel data, ISP data, and statistical modeling. It's directionally accurate for strategy, not a substitute for your own analytics.
Any domain SimilarWeb covers, which includes most domains with meaningful traffic. This is the primary use case — analyzing competitors, partners, and market players you don't own. For your own domains, you'd typically combine SimilarWeb estimates with your own analytics for a complete picture.
Yes. SimilarWeb data includes geographic traffic breakdowns. You can query traffic by country, compare regional market share across competitors, and identify which markets specific competitors are expanding into. Ask in plain English and the MCP server handles the geographic filters.
Yes. The MCP server connects to SimilarWeb's API, which requires a paid plan with API access. The specific data available depends on your SimilarWeb subscription tier. Improvado passes through your API credentials — we don't provide SimilarWeb data independently.
Under 5 minutes if you have a SimilarWeb API key. Connect your key to Improvado, add one line to your MCP client config, and you're querying competitive data immediately. No pipeline configuration or schema mapping required.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
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