Ask Claude or ChatGPT about your business using the search performance, website traffic and AI visibility data already in Vicin. Follow up in the same conversation, with the source figures behind the answer.
Model Context Protocol, or MCP, connects an AI assistant to external tools and data. Vicin’s MCP lets your assistant read the business information in your account as you work through a question.
Vicin retrieves the figures. Your assistant explains them, compares the evidence and helps you decide what to investigate. You can ask a follow-up without exporting another report or pasting another table.
Name the business and the period you want to review. Ask your assistant to use Vicin, show the evidence and separate observations from possible explanations.
Compare query and page performance over the selected period. Use impressions, clicks, position and click-through rate to choose the pages worth investigating.
Use Vicin’s Search and Rank Trends data for my business. Which queries and pages have lost clicks, and which have impressions but few visits?
Read Search Console and Google Analytics evidence together. Search impressions, search clicks and website sessions measure different parts of the visit.
Compare my search performance, website referrals and page engagement for the last 28 days. Which queries, pages and referring sources deserve a closer look?
Use monthly comparisons and seasonal patterns to prepare a clear account of the changes. Keep measured results separate from your explanation of why they happened.
Compare my completed months in Vicin. What changed from the same months last year, and what should I investigate before my next client meeting?
Investigate the recorded questions, recommended businesses and cited pages across Google AI Mode, Google AI Overviews, ChatGPT and Gemini.
Use my saved AI visibility results. Which questions recommend competitors, and which sources appear in those answers?
These are prompts you can use, not sample results. Each answer depends on the business, connected sources and saved data in your account.
Your assistant can combine supported views in a conversation. Source dates, selected periods and missing-data states provide context for its analysis.
A saved AI visibility check, a completed reporting month and a recent website visit cover different periods. Ask your assistant to name the source and time range before drawing a conclusion across them.
A change in two metrics can suggest a question to investigate. The figures alone do not establish what caused the change. Check the explanation against the underlying evidence before acting. Explore Google Maps visibility by location with the Local Rank Checker.
Use the hosted URL above in your assistant’s custom MCP connection settings. Choose OAuth authentication and sign in to Vicin when prompted.
Name it Vicin and enter https://app.vicin.io/mcp as the remote MCP server URL. Follow your assistant’s connection instructions for your account or workspace.
Sign in as the Vicin account owner. Review the data-access request and approve the connection for your paid account.
Ask the assistant to list your Vicin businesses. Select the business you want to review, then ask your first question.
Vicin’s MCP reads data for analysis. It cannot edit your business profile, publish a review reply, change an ad campaign or update your website.
The connection reads businesses in the approving owner’s Vicin account. Data retrieved for a question is shared with the connected AI service under that service’s terms and privacy settings.
Open Setup, then MCP in Vicin to see your connected AI apps. Select Disconnect to end an app’s access to further reads.
Start by collecting your business evidence in Vicin. Connect your assistant when your paid subscription is active.
