Your AI visibility data, inside your AI assistant.
We are building a Seeqly MCP server so you can ask Claude, ChatGPT, Cursor or your own agents about your AI visibility and get answers grounded in your Seeqly workspace. It is not available yet. Join the early access waitlist.
Which prompts did we lose this week?
seeqly · list_prompts Aarvi Skin workspace
Aarvi Skin dropped out of answers for 3 tracked prompts this week:
- “Best sunscreen for oily skin”
- “Non-comedogenic moisturizer under $20”
- “Dermatologist-recommended face wash”
In all three, answers now cite a review site that lists Dermalume but not Aarvi Skin. Want a brief for the top opportunity?
Example conversation, using a fictional brand.
One standard to connect AI to your tools.
The Model Context Protocol (MCP) is an open standard that lets AI assistants and agents connect to tools and data. A service publishes an MCP server; any compatible assistant can then call its tools, with your permission.
For Seeqly, that means your assistant can look up your visibility, prompts, sources and opportunities directly, instead of you copying numbers out of a dashboard.
Ask in plain words. Get your own numbers.
Aarvi Skin and Dermalume are example brands.
Spot drops in the questions you track, across assistants.
Find the review sites, forums and articles to go after next.
Turn a Seeqly opportunity into a brief your team can act on.
Get the numbers for a weekly update without opening a dashboard.
Check how answers describe your brand, and where they get it wrong.
Pull the before-and-after from your impact reports.
The tools your assistant will call.
A first set of tools that map to the main parts of the Seeqly platform. Names and details may change before launch.
get_visibilityVisibility and share of voice for a brand, by assistant and date rangelist_promptsTracked prompts, with wins and losses over timeget_sourcesThe sources cited in answers, and which brands they mentionlist_opportunitiesOpen opportunities and suggested fixes, rankedget_impact_reportBefore-and-after results for fixes you shipped
A few lines of config.
Most MCP clients connect to a server with a short configuration like this. You add your Seeqly API key, and the assistant can start asking.
The URL and format shown are placeholders. We will publish exact steps for each client at launch.
{
"mcpServers": {
"seeqly": {
"url": "https://mcp.seeqly.ai",
"headers": {
"Authorization": "Bearer YOUR_SEEQLY_API_KEY"
}
}
}
}Your data, on your terms.
How we plan to handle access. We will publish full details before launch.
The planned server reads your visibility data. It does not change settings, prompts or reports unless you allow it.
Each API key is tied to one workspace, so an assistant only sees the brand data that key allows.
Create keys for the people and agents that need them, and revoke a key at any time.
Answers draw on the data already in your Seeqly workspace, so the numbers match what your team sees.
For teams who live in their AI tools.
Get visibility answers in the assistant you already use every day.
Pull numbers for any client workspace into reports and status updates.
Query share of voice, sources and impact without exporting CSVs.
Give your own agents grounded AI-visibility data through a standard protocol.
Planned for Advance and Pro, which include API access today.
See plansIs the Seeqly MCP server available now?
Not yet. It is in early access planning. Join the waitlist and we will contact you when there is something to try.
Which AI assistants will it work with?
MCP is an open standard, so the plan is to work with MCP-compatible clients such as Claude, ChatGPT, Cursor and your own agents. We will publish setup guides at launch.
Which plans will include it?
It is planned for Advance and Pro, which include API access today.
Can an assistant change my Seeqly data?
The plan is read-only by default. Any write actions would be opt-in and clearly labelled.
Is the setup on this page final?
No. The configuration shown is a preview and will change. The server URL is a placeholder.
Get early access to the MCP server.
Tell us how you would use it. We will contact waitlist members first when there is something to try.
- First invites to try the MCP server
- A say in which tools we build first
- Setup guides for your AI client at launch
You are on the list.
Thanks. We will contact you when the Seeqly MCP server is ready to try. Watch for mail from contact@seeqly.ai.
Bring AI visibility into every conversation.
Join early access, or see what the Seeqly platform does today.