Use Cases
Example prompts and workflows for the ThriveStack MCP Server. Browse by type if you need ideas on what to ask.
Start by just asking a question — your AI assistant resolves your product and environment automatically from how you connected, so there’s no project to pick first:
“How visible is ourdomain.com in AI search right now?”
Include a time range in your questions. “Last 30 days”, “this month”, or “past week” gets you better results.
For a structured AI-visibility pass instead of one-off questions, invoke the ai_visibility_analyst prompt (see Prompts).
Example workflows: AI Visibility
AI Visibility is the flagship live capability today — these six tools cover a full loop from “where are we losing citations” to “here’s a content outline to fix it.”
1. Full visibility snapshot for a domain
“How visible is ourdomain.com in AI search right now?”
get_domain_report returns overall visibility and average position for the domain’s latest completed probe run, broken down by topic and by individual tracked question, with per-AI-model detail underneath each. If the domain hasn’t been probed yet, you get a clear empty result, not an error.
2. Citation gap deep-dive
“Where are we losing AI citations for ourdomain.com, and which competitors are showing up instead?”
get_citation_probe_data returns the raw evidence behind the gaps: every tracked buyer question, your citation count vs. total, and which competitor brands appeared in your place. Use this when you want the underlying evidence rather than get_domain_report’s rollup.
3. See what buyer questions you’re tracked on
“What buyer questions is ourdomain.com being evaluated on?”
get_domain_prompts lists the tracked buyer questions ThriveStack has generated for the domain, grouped by topic — useful context before interpreting a citation gap or requesting content recommendations.
4. Turn a gap into a content plan
“What content should we publish this week to close our biggest AI citation gaps?”
get_owned_content_recommendations returns gap-scored, prioritized recommendations (severity tier, gap score, citations vs. total, competitors winning) for your own site. Pick the top one and call generate_content_outline to get headings, an answer-first summary, FAQ questions, and schema markup suggestions — ready to hand to a writer.
5. Find third-party outreach opportunities
“Where could we get cited on sites like Reddit or G2 instead of just our own blog?”
get_earned_content_recommendations surfaces ideas for earned/third-party media. Each recommendation is flagged citation_backed (tied to a real probe gap) or category_inferred (no direct citation evidence yet) — check which one before treating it as fact.
6. Combine the full picture in one pass
“Give me the full AI-visibility picture for ourdomain.com: how we’re doing, why, and what to publish next.”
The assistant chains get_domain_report (the headline numbers) with get_citation_probe_data (the gap evidence) and get_owned_content_recommendations (what to do about it) — or you can invoke the ai_visibility_analyst prompt (see Prompts) to get this as a single structured pass instead of three separate questions.
More ideas
AI visibility
- Full visibility report for a domain’s latest probe run, with per-model detail
- Raw citation-gap evidence, including which competitors appeared instead
- The tracked buyer questions generated for a domain, grouped by topic
- Owned vs. earned content recommendations, filterable by status, priority, or channel
- A ready-to-write content outline for a specific recommendation
Brands
- Which brands/products your account can access
CRM accounts, leads, revenue attribution by channel, segments, custom SQL, and setup wizards are being rolled out incrementally and aren’t connectable yet — see Tools for what’s live today.
Real-world workflows
Turn an AI-visibility gap into a content plan
“What content should we publish this week to close our biggest AI citation gaps?”
get_owned_content_recommendations returns gap-scored, prioritized recommendations with the evidence behind each; pick the top one and call generate_content_outline to get headings, an answer-first summary, FAQ questions, and schema markup suggestions to hand to a writer.
Prep for a competitive review
“Before our QBR: how does ourdomain.com’s AI visibility compare to last quarter, and which competitors are winning the questions we’re losing?”
get_domain_report gives the headline numbers, get_citation_probe_data names the specific competitor brands appearing in place of yours on each losing question — concrete talking points instead of a single visibility percentage.
Tips
To make the experience smoother or more complete, take a look at the following tips:
- Include dates: Always specify a time range or month (e.g. “last 7 days”, “October 2026”).
- Let the assistant discover your schema automatically: For anything referencing your own event or feature names, the assistant figures out your real event taxonomy before querying — you don’t need to know exact event names.
- Start broad, then drill down: Ask for the overview first, then follow up on whatever stands out.