Koreshield vs MentionBird: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Koreshield and MentionBird — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Koreshield
Koreshield Labs Ltd.
Runtime trust layer that scans customer input, retrieved context and proposed tool calls in AI support workflows before they become trusted instructions.
Key features
- Customer Input Scanning: Inspects messages, attachments and externally controlled text before model execution so injected instructions never reach the model as trusted input.
- Retrieved Context Screening: Keeps poisoned tickets, CRM notes and RAG documents from inheriting system-level authority inside the prompt.
- Proposed Action Evaluation: Checks tool calls against trust, approval and authorization limits before they are executed.
- Detect and Enforce Modes: Run in detect mode to record threats without interrupting traffic, then enable enforcement only where fallback behavior is ready.
- Decision Evidence Trail: Records severity, decision and reason for every request, retained for 7 or 30 days depending on plan, for review and audits.
- Scan API with Key Management: Server-side API keys and endpoints such as /v1/rag/scan make integration with existing support stacks straightforward.
- Flexible Deployment: Use the hosted console or run the FastAPI + PostgreSQL service in your own infrastructure, with VPC, self-hosted and air-gapped options for Enterprise.
Best for
- Prompt Injection Defense: Blocking malicious instructions hidden in customer messages before an AI support agent acts on them.
- RAG Poisoning Protection: Preventing tampered knowledge-base articles or ticket histories from overriding system prompts.
- Agent Action Guardrails: Holding refunds, account changes or other tool calls for policy review when trust limits are exceeded.
- Safe Production Rollout: Measuring real threat and false-positive rates in detect mode before enforcing on live traffic.
- Security Audits: Exporting decision evidence to show auditors and security teams why each request was allowed or held.
MentionBird
MentionBird
AI search visibility platform that shows which sources ChatGPT, Gemini, Perplexity and Claude cite for your prompts and how to get your brand named.
Key features
- AI Prompt Tracking: Monitor the exact prompts buyers ask AI, with daily runs across supported AI platforms.
- AI Citation Tracking: See which pages, reviews and YouTube videos AI cites for each prompt and whether your brand appears in them.
- AI Ranking Advice: Get a per-prompt plan of recommended actions rated by effort and impact to earn mentions.
- Competitor Tracking: Compare share of AI recommendations against each competitor, week over week.
- Multi-Platform Coverage: Covers ChatGPT, Gemini, Perplexity and Claude, with Grok, AI Overviews, Copilot and DeepSeek on the Custom plan.
- MCP and API Access: Connect Claude or ChatGPT directly to your visibility data and ask questions about it.
- Free AI Tools: No-login tools such as an AI Crawler Accessibility Checker and an AI Visibility Report.
Best for
- Generative Engine Optimization: Finding which sources AI relies on for category prompts and earning placements in them.
- Competitive Benchmarking: Seeing which rivals AI recommends instead of your brand and for which prompts.
- Agency Client Reporting: Reporting client AI visibility and the next fixes to make.
- Content Planning: Using ranking advice to decide which guides and product-page details to publish.
- Launch Monitoring: Tracking whether a new product starts getting named in AI answers over time.