Use Cases
Example prompts and workflows for the ThriveStack MCP Server. Browse by type if you need ideas on what to ask.
Start by asking your AI assistant to list your projects, then pick one:
“List my ThriveStack projects”
Include a time range in your questions. “Last 30 days”, “this month”, or “past week” gets you better results.
For the most common workflows (weekly pulse, competitor radar, engine scorecard, source audit, campaign tracker), use a built-in prompt instead. One slash command runs the full analysis and formats the output.
Example workflows
1. Brand visibility overview
“How visible is my brand across AI search engines this month?”
Returns your visibility percentage, sentiment score, share of voice, and average position across all tracked AI models.
2. Competitive benchmarking by AI model
“Compare our visibility against competitors, broken down by AI model”
Table showing each brand’s visibility across ChatGPT, Perplexity, Gemini, and other platforms. See where you lead and where competitors outperform you.
3. Source citation analysis
“Which of our pages get cited most by AI engines?”
Ranked list of your URLs with citation counts, retrieval numbers, and page types.
4. Topic deep-dive
“How do we perform on the topic ‘sustainable fashion’ vs competitors?”
Brand-by-brand comparison within a specific topic: visibility, share of voice, and sentiment.
5. Visibility trend
“Show me our visibility trend over the last 30 days”
Daily visibility data with notable changes highlighted.
More ideas
Brand visibility
- Visibility by AI model
- Topic-level performance
Competitive analysis
- Share of voice comparison
- Sentiment comparison
- Position analysis
Sources and citations
- Top cited domains
- Your domain’s performance
- Competitor source analysis
- Inspect why a URL wins citations
Reporting
- Weekly performance summary
- Country-level breakdown
- Content gap analysis
Actions and next steps
- Ranked next steps for the quarter
- Drill into a specific opportunity
Agent analytics
Pair these with your bot and crawler traffic view. The MCP exposes the same access-log data via list_bots and get_agent_visits, so an assistant can answer ad-hoc questions without leaving the chat.
- Which AI bots are hitting our site?
- What’s our failure rate for AI bots?
- Which folders are bots crawling most?
- Has crawl activity changed over time?
- Tie bot traffic to AI visibility
Edit your project setup
Add a prompt you just thought of
“Add this prompt to my project: ‘best CRM for remote sales teams 2026’. Target US, tag it ‘competitive’.”
The assistant resolves the tag and the project, then confirms with you before calling create_prompt.
Re-organize prompts under a new topic
“Create a topic called ‘Pricing’ and move every prompt that mentions ‘cost’ or ‘pricing’ into it.”
The assistant lists matching prompts first, creates the topic, and calls update_prompt for each one. Only after you confirm the list.
- Track a new competitor brand
- Clean up stale tags
- Add a batch of prompts in one go
- Refine your brand profile so prompt suggestions improve
Real-world workflows
- Fix outdated information in AI sources
- Find which of your pages are losing AI citations
Find the prompts where a competitor beats you
“For every prompt we track, compare our visibility to [Competitor] and rank the prompts where they beat us most.”
get_brand_report dimensioned by prompt_id for both brands returns a ranked gap table. Output: the exact queries where the competitor is mentioned and you are not. Use list_prompts to resolve prompt_id values to the actual prompt text for the final ranking.
Find the URL hurting your brand
“Which URLs are AI models citing most when they describe us negatively?”
The MCP pulls get_url_report for top-retrieved pages, cross-references with per-chat sentiment via list_chats + get_chat, and surfaces the specific URLs dragging the score down. Often: an old review, a negative forum thread, or a competitor comparison page.
Tips
To make the experience smoother or complete, take a look at the following tips:
- Include dates: Always specify a time range (e.g. “Last 7 days”, “Last month”).
- Name brands: Mention specific competitors by name (e.g. “How do I compare against [competitor]?”).
- Ask for breakdowns: “Break down by model” or “split by topic” gives per-dimension results.
- Start broad, then drill down: Start with your overview, then follow up on what stands out.