MentionBird vs Radar: Features, Pricing & Which Is Better (2026)

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

MentionBird

Paid

AI search visibility platform that shows which sources ChatGPT, Gemini, Perplexity and Claude cite for your prompts and how to get your brand named.

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.

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.

Particle (Mina Labs, Inc.)

Paid

A podcast search engine and API that transcribes 130,000+ shows so people and AI agents can search, quote and monitor what was actually said.

Semantic Podcast Search: Query 130,000+ transcribed shows by topic, company or person and get back the exact passage rather than a whole-episode match.
Timestamped Clip Extraction: Radar pre-selects notable, self-contained clips with timestamps so you can listen to or read a specific moment without the full episode.
Entity Recognition and Tracking: Speaker labels plus tagged people, companies, brands, products and topics let you follow a single entity across the whole podcast corpus.
Configurable Alerts: Mention alerts arrive by email, Slack or webhook in real time or as a daily or weekly digest, filterable by guest, topic or top-podcasts-only.
Podcast Ad Search Engine: Find every episode where a given company advertises and track how that spend trends over time.
API and MCP Access: The same intelligence is exposed programmatically so AI agents — otherwise blind to audio — can read and reason over spoken content.
Podcast Analytics Layer: Listener ratings and reviews, chart rankings, audience-size estimates, sponsorship data, political bias analysis and brand suitability scoring.
Daily Index Refresh: About 20,000 new episodes are transcribed and added every day, covering all Apple Top 200 shows across 135 verticals.

Investment Research: Hedge funds pull statements executives make on podcasts that never surface in filings or text-based web crawls.
Grounding AI Agents in Audio: Developers connect the MCP or API so their agents can cite what was actually said on a podcast instead of only web text.
Brand and Reputation Monitoring: Set alerts on a company or product name and get notified whenever it is mentioned across top shows.
Competitive Ad Intelligence: Marketers audit where a competitor advertises, on which shows, and how that footprint changes over time.
Journalism and Fact-checking: Reporters locate the exact quote and timestamp behind a claim attributed to a podcast appearance.
Academic and Market Research: Researchers study how a topic or entity is discussed across a large, structured corpus of spoken media.