API for Reddit Pain Point Research in SEO Agents
CitationBench's API mines specific subreddits for structured user pain points, delivering contextual insights your custom SEO agents can act on. Generic APIs miss the nuance Reddit discussions contain.
# Mine a subreddit for user pain pointsPOST /v1/research/discuss> { "source": "reddit", "subreddit": "saas", "topic": "onboarding friction" }{ "pain_points": [ { "theme": "no in-app guidance", "frequency": 38, "sentiment": -0.74 }, { "theme": "too many steps to first value", "frequency": 27, "sentiment": -0.81 }] }# Results stored — pipe into blog or landing page agentresearch.discuss.research✓ 64 posts analyzed · 12 pain themes extracted · storedGeneric APIs Miss What Reddit Actually Says
Community language is specific, contextual, and buried in threads. Most APIs flatten it into noise.
Surface level sentiment only
Generic sentiment APIs score tone but strip the specific complaint language your SEO agent needs to build relevant content.
No subreddit targeting depth
Wide-net scraping tools pull Reddit data without subreddit scoping, returning irrelevant posts that dilute your research signal.
Unstructured data stalls agents
Raw Reddit JSON dumps require heavy pre-processing before any SEO agent can consume them, adding engineering work with no strategic value.
The fix
Structured Reddit Research. Ready for Your Agent.
CitationBench's discussion research endpoint mines Reddit by subreddit and topic via research.discuss.research, returning structured pain themes, frequency counts, and sentiment scores your SEO agents can consume directly.
Every Tool Your Reddit Research Agent Needs
From pain-point mining through content creation and indexing, CitationBench composes the full workflow in a single API surface.
Reddit Research
Subreddit Pain Point Mining via API
Call research.discuss.research with a subreddit and topic to extract structured pain themes, frequency counts, and sentiment signals. Results are stored and immediately available for downstream content generation steps.
- Subreddit-scoped queries
- Structured pain theme output
- Stored results for agents
Audience Intel
ICP Profiles From Real Market Data
POST /v1/research/icp generates segmented buyer profiles from a company URL, giving your agent the audience context it needs to interpret Reddit pain points accurately across different buyer segments.
- URL-based ICP generation
- Segmented buyer profiles
- Pain points and buying triggers
Gap Analysis
Turn Pain Points Into Content Gaps
After mining Reddit discussions, research.content_gap.find compares your content inventory against extracted pain themes and competitor coverage to surface the topics your audience is asking about that you have not addressed.
- Competitor content comparison
- Prioritized gap reports
- Stored and listable results
Content Production
Generate Content From Reddit Research
Feed stored Reddit pain themes directly into produce.blog_post.create to generate long-form SEO content grounded in real user language. Bulk creation from keyword lists keeps pace with the volume agencies need.
- Brief to draft pipeline
- Bulk creation from keyword lists
- Section-level regeneration
Developer Access
Reddit Research Tools via Hosted MCP
Access research.discuss.research and all ~35 CitationBench tools from Claude Code, Cursor, or any MCP client via mcp.citationbench.com/mcp. No self-hosting required and no integration boilerplate to write.
- Hosted at mcp.citationbench.com/mcp
- Works with Claude Code and Cursor
- No self-hosting needed
How it works
From sign-up to first call in five minutes.
Sign up and get your key
An `sk_test_*` key lands in your dashboard instantly. No demo gate — start calling real endpoints with shape-complete responses.
Add the MCP server or hit REST
`claude mcp add citationbench https://mcp.citationbench.com/mcp` from Claude Code, Cursor, or any MCP client. Or `curl` against `api.citationbench.com/v1/*` directly.
Run a tool or invoke an agent
Every tool returns shape-complete demo data without auth, so your agent works before the user signs up. Tools across research, production, indexing, link-building, and agents.
Scope to a workspace and ship
Add `X-Workspace-Id: ws_***` to scope per client. Switch to a live `sk_live_*` key when you're ready. Same API surface, same SDK.
Why CitationBench
Built for production, agency-scale, and AI-agent-first.
~35 tools, one MCP server
Hosted at mcp.citationbench.com/mcp. Works with Claude Code, Cursor, Claude Desktop, Windsurf, and ChatGPT Apps. No self-hosting required.
Durable jobs, not fire-and-forget
Every long-running call runs on Cyclonic workers — survives restarts, cancellable, resumable, streams via SSE. Production-safe by default.
Multi-workspace from day one
One master API key, N client workspaces. Switch with a single `X-Workspace-Id` header. Per-client data isolation, bulk ops across all of them.
Demo mode out of the box
Every endpoint responds in shape-complete demo mode without auth, so you can build the agent before the user signs up.
FAQ
Common questions
Start Mining Reddit for Real SEO Insights
Give your SEO agents structured Reddit pain-point data from the API built for the job.
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