CitationBench goes beyond AI writing by composing deep keyword research, SERP analysis, and content production into one end-to-end platform built for agency scale.
Agencies relying on Jasper for client content still need five other tools to research, optimize, and measure results.
Jasper generates text but cannot discover, cluster, or label keywords by intent, leaving your content strategy built on guesswork.
You pull keywords from Ahrefs, paste them into Jasper, then manually QA output — every client, every article, every time.
Neither Jasper nor its companion tools tell you whether your clients appear in ChatGPT, Claude, or Perplexity responses.
The fix
CitationBench connects keyword research and SERP analysis directly to content production and publishing. Agencies run the full workflow — from keyword discovery through blog generation, indexing, and rank tracking — without switching tools.
CitationBench replaces the disconnected stack Jasper forces on agencies with a unified research-to-publish workflow across five core capabilities.
SEO Research
Discover, cluster, and label keyword sets from a seed URL via POST /v1/research/keyword. Results persist and flow directly into blog and landing page generation — no copy-paste between tools.
Keyword Taxonomy
Every keyword gets tagged on two axes: intent (informational, commercial, transactional, navigational) and relevance (core, adjacent, tangential) via research.keyword.relabel. Filter and prioritize entire client keyword universes in seconds.
Content Production
Generate SEO-optimized blog posts via produce.blog_post.create directly from your labeled keyword lists. Bulk creation from keyword lists via produce.blog_post.bulk_create. Apply reusable content refiners for brand voice consistency across all client accounts.
Brand Consistency
Configure brand voice, CTA insertion, competitor removal, and FAQ injection once per agency account. Content refiners apply automatically across every client workspace via produce.refine.* so output never drifts off-brand.
Measurement
Monitor keyword positions daily across all client workspaces with full history. Results are scoped per client via X-Workspace-Id and available via REST, MCP tool, and dashboard — no separate rank tracking subscription needed.
How it works
An `sk_test_*` key lands in your dashboard instantly. No demo gate — start calling real endpoints with shape-complete responses.
`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.
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.
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
Hosted at mcp.citationbench.com/mcp. Works with Claude Code, Cursor, Claude Desktop, Windsurf, and ChatGPT Apps. No self-hosting required.
Every long-running call runs on Cyclonic workers — survives restarts, cancellable, resumable, streams via SSE. Production-safe by default.
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.
Every endpoint responds in shape-complete demo mode without auth, so you can build the agent before the user signs up.
FAQ
CitationBench is the Jasper alternative agencies use when they need keyword research, content production, and rank tracking in one platform.
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