Competitor content analysis MCP and REST API for AI-search gaps.
Give your AI competitor names or domains. Cite42 pulls the data for where they rank, what sources AI cites, and which topics have demand.
- $1 free on signup
- Credits never expire
- No subscription
- MCP native
1. Connect once — no code Settings → Connectors → paste https://mcp.cite42.dev/ 2. Ask for the workflow Where are competitors winning AI answers for "AI visibility platform"? 3. Answer preview Profound wins enterprise-monitoring prompts, AthenaHQ appears in brand-analytics shortlists, and Peec AI is cited for dashboards. Target API/MCP gaps... Claude can still inspect the endpoint plan cite42_analyze_competitor_content → /v1/workflows/competitor-content Then it can call the primitives Use /v1/rankings, /v1/compare, /v1/citations (each source is status-labelled in the JSON)
Run the Competitor content workflow.
Your AI gets the workflow endpoint, source icons, and endpoint plan before it runs the endpoint calls.
Competitor content
You ask your AIWhere are competitors winning AI answers for "AI visibility platform"?MCP runs/v1/workflows/competitor-content
- /v1/rankings
- /v1/compare
- /v1/citations
- /v1/keywords
Your AI saysCite42 returns a workflow plan for competitor content. It lists the endpoints to run, why they matter, and what your AI should check next...Which endpoints to run
You ask your AIWhich Cite42 data should I check for competitor content?MCP runs/v1/workflows/competitor-content
- /v1/rankings
- /v1/compare
- /v1/citations
- /v1/keywords
Your AI saysStart with /v1/rankings, /v1/compare, /v1/citations. The plan marks which sources are live, what each endpoint returns, and how to combine the evidence...
See where competitors win the answer.
Use this workflow when competitor content decisions need AI rankings, citations, comparison evidence, and keyword demand in one plan.
- Compare rivals across the same prompts.
- Find source and citation gaps.
- Turn gaps into pages, briefs, and audits.

Sources Cite42 checks.
Cite42 queries AI answers, search demand, and conversation signals, then returns normalized results your app or agent can use.
ChatGPT
AI answer signal
Claude
AI answer signal
Perplexity
AI answer signal
Gemini
AI answer signal
Google AI Overviews
Search answer signal
Google data
Search demand signal
Reddit
Conversation signal
YouTube
Video demand signal
Three ways to use this workflow.
A few practical ways teams use the Competitor content workflow.
What endpoints the workflow uses.
Each card shows the primitive API endpoint, source coverage, why the workflow uses it, and the data it returns.
AI rankings
Measures which brands appear in AI answers and where they rank.
Data returned
Mention rate, average position, per-model rankings, and answer snippets.
AI compare
Compares one brand against competitors in AI answers.
Data returned
Brand-vs-competitor rankings, co-mentions, positions, and cited sources.
AI citations
Finds which sources AI models cite and where your site is missing.
Data returned
Cited URLs, cited-by model list, citation counts, and source titles.
SEO keywords
Adds search volume, CPC, competition, and related keyword ideas.
Data returned
Search volume, CPC, competition, intent, and related SEO keyword ideas.
Pay per call for this workflow.
Top up once ($25 minimum). Credits never expire, and this workflow only charges when it runs.
| Endpoint | Price | What you get |
|---|---|---|
| POST/v1/workflows/competitor-content | $0.18-$0.63 | Workflow plan plus 4 primitive endpoint calls. |
All workflows
Same MCP server, same REST API, different research job.
Questions about Competitor content.
Give your AI the market data.
Install the MCP server or call the workflow endpoint directly. One call runs every primitive and the per-source results stay visible.