GEO Copilot
An AI analyst with access to your visibility data — for the questions a dashboard cannot anticipate.
Dashboards answer questions someone predicted in advance. GEO Copilot handles the rest: it has access to your workspace data and can query, compare and explain it in conversation.
Ask "why did my Perplexity visibility drop last week?" and it goes and looks — at the prompts that lost ground, the engines involved, the sources that replaced yours — instead of handing you a chart to interpret.
Preview. The agent is not yet connected to workspace data; the screen currently demonstrates the interface with prepared conversations. Until it lands, the same questions are answerable from Prompts, Sources and the captured answers on Overview. See Product status.
What it can reach
The Copilot works over your own data through a set of tools. The capability strip on the screen lists what it can do:
| Capability | Use it for |
|---|---|
| Analyze Visibility | Current standing, trends, movement by engine |
| Compare Competitors | Head-to-head on any slice |
| Find Content Gaps | Prompts and fan-out queries you do not answer |
| Generate Articles | Drafts targeted at a specific gap |
| Audit a Page | Citability, authority and readability for a URL |
| Track Citations | Who cites you, where, and for which prompts |
| Query Fan-out | The searches behind a prompt |
| Sentiment | How you are described, not just whether |
| Top / Worst Prompts | Your best and weakest questions |
| Provider Deep Dive | One engine in detail |
| AI Traffic | Sessions and quality from AI referrals |
| Period Comparison | This week against last, with causes |
| Raw Answers | The verbatim text behind any number |
| Content Ideas | Briefs derived from measured gaps |
| Performance Summary | A written summary for a stakeholder |
Beyond the presets, ask anything. The list is a starting point, not a menu.
Asking well
Be specific about scope. "How did comparison prompts do on Perplexity in the last 14 days?" returns something actionable. "How are we doing?" returns a summary.
Ask why, not what. The dashboard already shows what. The Copilot is at its best explaining causes: which prompts moved, which sources changed, what a competitor published.
Chain follow-ups. Conversations keep context. Start broad, then narrow: "which prompts did we lose?" → "what is cited instead of us on the first one?" → "draft a brief to contest it."
Ask for the raw answer. When a conclusion matters, request the underlying answers and read them. The Copilot is a reader of your data, not an oracle; verification is cheap.
Saved conversations
Conversations persist in the sidebar. Useful patterns:
- One long-running thread per recurring question — "weekly visibility check" — so the history shows movement over time.
- A thread per investigation, kept as the written record of why you shipped something.
- A thread per competitor when you are in an active fight.
Good opening questions
- "Summarize my visibility this week and tell me what changed."
- "Which prompts am I losing to [competitor], and what is cited instead of me?"
- "What content gaps show up across my comparison prompts?"
- "Audit /pricing and tell me the three highest-impact fixes."
- "Compare this month to last month and explain the difference."
- "Draft a stakeholder summary of our AI visibility for the quarter."
Limits worth knowing
The Copilot reasons over what has been measured. It cannot see prompts you never tracked, competitors you never added, or engines outside the configured set — so a blind spot in Workspace is a blind spot in its answers too.
It also reports the data as collected, including its noise. A one-day swing on a small prompt set is not a trend, and asking the Copilot to explain it will produce an explanation for something that may be sampling variance. Ask about periods long enough to mean something.