Dealight

AI sales agent that runs LinkedIn outreach for you

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Screenshot of Dealight, AI sales agent that runs LinkedIn outreach for you

What is Dealight?

Dealight is an AI deal finder tool. Dealight runs LinkedIn prospecting with an AI agent called Ray: it picks target accounts, researches them, writes personalized multi-step messages and tunes campaigns from results. Sold through a demo rather than self-serve signup, it targets B2B sales and business development teams.

Dealight is a LinkedIn outreach platform built around an AI sales agent the company calls Ray. Rather than a sequence builder that fires pre-written templates, Ray is positioned as a prospecting assistant that decides who to contact, researches why they matter, writes the message and keeps working the conversation over multiple steps. The pitch is aimed at B2B sales teams, founders and business development reps who want pipeline from LinkedIn without manually hunting for leads or writing every touch by hand. In practice the workflow starts with targeting. Ray analyzes large volumes of data to surface an ideal customer profile for a given business, then layers on company research that includes signals such as hiring trends, so outreach lands on accounts with a live reason to care. From there the AI drafts messages with dynamic personalization and multi-step engagement, with the stated goal of sounding like a person rather than a mass mailer. Campaign performance is tracked, A/B tested and iterated, and the system is described as improving as more campaigns run through it. The vendor reports a 28 percent LinkedIn acceptance rate, a 9.2 percent reply rate and 6 to 10 demos booked per month across its customers, alongside one case study claiming 3.5x more demos in eight weeks and a $180K closed deal. Those numbers come from the company itself and should be treated as marketing until reproduced on your own list. Dealight competes with established LinkedIn automation suites and with general-purpose sales AI tools; its differentiator is the claim of an adaptive agent rather than fixed playbooks. Pricing is not published on the homepage, and the primary route in is booking a demo, so expect a sales conversation before you see the product. Teams already running mature outbound stacks should check how Dealight fits alongside their CRM and data providers before committing, since the homepage does not detail integrations.

How do you use Dealight?

  1. 1Book a demo to get access
    Dealight does not appear to offer self-serve signup on the homepage. The entry point is a demo call booked through the site, where access and pricing are discussed.
  2. 2Define your ideal customer profile
    Work with Ray to establish which accounts fit your business. The agent analyzes data points to propose an ICP, which you then confirm or narrow before outreach starts.
  3. 3Review the research layer
    Check the company insights Ray collects, including hiring trends and other real-time signals, and decide which triggers should qualify an account for contact.
  4. 4Approve message drafts
    Read the AI-written outreach before it goes out. Personalization is generated per prospect, and edits here set the tone for later campaign iterations.
  5. 5Launch multi-step engagement
    Turn the campaign on so Ray can work prospects across several touches on LinkedIn, following up and nurturing rather than stopping after one message.
  6. 6Use performance data to iterate
    Review acceptance and reply rates, let the A/B testing suggest message changes, and adjust targeting where the data shows weak fit.

Pros and cons

Pros

  • Targeting and messaging are handled by one agent rather than separate point toolsAI
  • Company research includes live signals such as hiring trendsAI
  • Messages are written for multi-step conversations, not single blastsAI
  • Campaign results feed back into A/B testing and iteration automaticallyAI
  • Published customer metrics (28% acceptance, 9.2% reply) give a concrete benchmark to test againstAI

Cons

  • No public pricing, so cost has to be established through a sales callAI
  • Homepage lists no CRM or data integrations, which matters for existing stacksAI
  • Claimed performance figures come from the vendor and are not independently verifiedAI
  • Built specifically for LinkedIn, so other channels need separate toolingAI
  • Writing quality still needs human review to stay credible at volumeAI

How much does Dealight cost?

Features

Core features include smart ICP targeting based on large-scale data analysis, deep company research with real-time signals such as hiring trends, AI message crafting for natural-sounding outreach, multi-step LinkedIn engagement, and continuous optimization through A/B testing and campaign iteration.

Frequently asked questions about Dealight

  • How do you use Dealight?
    The walkthrough on this page covers 6 steps: 1. Book a demo to get access 2. Define your ideal customer profile 3. Review the research layer 4. Approve message drafts 5. Launch multi-step engagement 6. Use performance data to iterate.
  • What platforms does Dealight support?
    Dealight is available on Web App.
  • What are the limitations of Dealight?
    No public pricing, so cost has to be established through a sales call. Homepage lists no CRM or data integrations, which matters for existing stacks. Claimed performance figures come from the vendor and are not independently verified.

Status

StatusActive
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Added10/21/2026

Platforms

Web App

Pricing

Paid