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Customer Support & Success
Tools that help teams answer customers faster, keep them happy and learn from what they say, from ticket queues to AI agents.
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About Customer Support & Success
Support is where a product meets the people using it. This category collects the products and businesses built to handle that contact: ticket queues, chat widgets, self-service articles and feedback loops. A growing share of them lean on AI to draft replies, route requests or answer questions without a human in the loop.
Browse the full list or step into a subcategory to narrow it down. Listings appear newest first, so fresh launches surface early, and you can sort by community votes to see what other visitors rate. Votes can never be bought. Use the filters to cut the list down, then open a profile to check what the product actually does before you shortlist it.
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Customer Support & Success: questions answered
- What belongs in Customer Support & Success?
- Products and businesses that help a company support, retain or listen to its customers. That covers ticketing, live chat, chatbots, help centres and feedback collection. A general CRM or a marketing tool usually fits better in another category.
- How do I choose between the subcategories?
- Start with how customers reach you. Email and shared inboxes point to help desk and ticketing; real-time conversations point to live chat and chatbots. Pick knowledge bases for self-service, and feedback and reviews to gather opinions after the fact.
- How do I get my product listed here?
- Go to /submit and paste your website address. An AI drafts the profile from your site, and you check and edit every field before anything goes live. You choose one main category, included free, so pick the subcategory that fits best.
- Can a product appear in more than one category?
- Each listing has exactly one main category, chosen at submission and included free. If your product spans several areas, a paid upgrade adds up to 3 more categories for $5.
- What should I compare when choosing a support tool?
- Check how it fits the channels your customers already use, how easily your team can move data in and out, and how clearly AI features are explained. Read the profile, then test with a real scenario from your own inbox before committing.