Doop vs Influencity: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Doop and Influencity — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Doop

Kevin Goedecke

Free

Open-source infinite design canvas where humans and AI agents design together live, with agents joining through a built-in MCP server.

Agent-Native MCP Canvas: Agents connect over an HTTP MCP endpoint with a single command and one browser OAuth approval, then edit the canvas as you, attributed and accountable, with no API keys handed over.
Streaming Frames: Every section an agent writes renders on the canvas the moment it lands, so you watch the design arrive rather than waiting on a spinner.
Comments as Tasks: A note left anywhere on the canvas becomes a task the right agent picks up, works on, and replies to with a screenshot, turning feedback directly into the backlog.
Agent Self-Review: A built-in headless renderer gives agents screenshots of their own frames so they judge fit, spacing and contrast like a senior designer and correct issues before handoff.
Shared Canvas Memory: Tasks, decisions and comments live on the canvas rather than in one agent's context, so any agent that joins later plugs into the same state and continues.
Learned Taste Profile: Casual feedback such as 'rounder corners' or 'keep it to the blue' is distilled into a persistent taste profile applied to every new frame and inherited by every agent.
Live Export URLs: Each frame is a URL that can be embedded in a doc, a post or an og:image and re-renders whenever the design changes, so shared assets never go stale.
Reference and URL Import: Paste screenshots to have agents distill palette, type and mood into a written brief, or paste a public URL to land an editable snapshot of your existing page on the canvas for side-by-side variants.

Agent-Assisted Landing Pages: Steering Claude Code or Codex through hero, pricing and footer frames on one canvas and watching each render live.
Design Review Loops: Leaving contrast or spacing notes on a frame and letting an agent apply the fix and return a screenshot without a synchronous handoff.
Redesign Comparison: Importing an existing public page as an editable snapshot so agent-generated variants sit next to the original instead of replacing it blind.
Team Design Sessions: Multiple people and multiple agents working the same canvas, each seeing what the others' agents are doing in real time.
Style Consistency: Building a canvas taste profile once so every subsequent frame and every new agent inherits the same corner radius, palette and type decisions.
Always-Fresh Shared Assets: Embedding live frame URLs in documentation or social posts so the shared image updates automatically when the design changes.

Paid

All-in-one influencer marketing platform to discover, manage, analyze, and optimize influencer campaigns for brands and agencies.

Influencer Discovery: Search and filter influencers by platform, audience metrics, and other criteria to identify suitable creators for campaigns.
Campaign Management: Centralized tools to create, manage, and coordinate influencer campaigns and workflows across teams and creators.
Audience & Performance Analytics: Measure influencer audience demographics, engagement metrics, and campaign performance for data-driven selection and optimization.
Reporting & Dashboards: Generate campaign reports and visual dashboards to track KPIs, engagement, and ROI for stakeholders.
Relationship Management: Store influencer contact information, communication history, and campaign agreements to manage long-term partnerships.
Collaboration & Approvals: Team-oriented features to review creative content, approve deliverables, and coordinate campaign tasks across stakeholders.
Benchmarking & Comparison: Compare influencer performance and campaign results to benchmarks and past campaigns for continuous improvement.
Influencer search and discovery (find influencers and profile metrics)
Campaign building and workflow management
Influencer metrics analysis and audience insights
Campaign performance measurement and reporting
Collaboration tools for brand-influencer workflows
Cross-platform social media support for measuring engagement and impact
Exportable reports and analytics to evaluate ROI

Product Launch Campaigns: Identify and engage a set of creators whose audiences match the product target to boost awareness and conversions during a launch.
Agency Multi-Client Management: Run and monitor influencer programs for multiple clients from a single platform with separate workflows and reporting.
Performance Optimization: Track campaign KPIs in real time, compare influencer performance, and reallocate budgets to higher-performing creators.
Influencer Vetting: Analyze audience metrics and engagement data to vet creators and reduce the risk of low-quality audiences or poor-fit partnerships.
Reporting to Stakeholders: Produce consolidated reports and dashboards summarizing campaign results, KPIs, and ROI for brand teams and executives.
Long-term Partnership Building: Maintain CRM-style records of influencer relationships to streamline recurring collaborations and negotiations.
Finding and vetting influencers for brand collaborations
Designing and managing influencer marketing campaigns end-to-end
Measuring campaign performance and calculating ROI
Analyzing influencer audiences and engagement metrics
Reporting campaign results to stakeholders and optimizing future campaigns