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QueryBurst

The Workspace for Improving Brand Visibility in AI Search

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QueryBurst is a workspace for modelling multi-turn customer journeys through AI search to discover where your brand enters, influences, and leaves the conversation — and why. Create target personas and branching conversations, explore how context changes answers, and inspect the research process from query fan-out to source selection and citations. It's like stepping inside your customer's AI conversations to see what shapes the answers they receive. Think people and conversations, not prompts.

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PH · launched Oct 14, 2026 · 2 upvotes (top 22%)

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Could you build this?

Partial The workspace UI for modeling customer journeys is vibe-codeable, but meaningful results depend on systematically querying AI search engines and interpreting answers at scale, which needs data access and infrastructure.

What it would actually take: The frontend for personas, branching conversations, and reports is standard, backed by a database and an LLM for conversation generation. The hard part is collecting real AI search responses across engines, which may require API access, scraping at scale, or partnerships, plus methods for attributing brand mentions reliably. This needs data infrastructure and search-visibility domain expertise.

Competitors

Other products that read as similar to this one : 147 launches clear the similarity bar, closest 8 shown.

Attention rank: #28 of 148 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 338 days after the earliest competitor.

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