9 Best AI SDR Software for Agencies in 2026

Agencies managing outbound sales for multiple clients face a scaling problem. Traditional SDR teams require headcount, training, and ongoing management. AI SDR software can automate parts of prospecting, personalization, lead qualification, and multichannel outreach.

For agencies exploring a signal-based approach, Gojiberry AI combines ICP targeting with behavioral and company signals to identify better-timed prospects, then enriches, scores, and engages them through LinkedIn and email outreach.

This guide breaks down 9 AI SDR software options for agencies in 2026, covering features, pricing, and the use cases each platform is designed to support.

Key Takeaways

• AI SDR platforms range from autonomous agents to human-in-the-loop systems that require approval before outreach.
• Agencies should evaluate prospect sourcing, multichannel capabilities, client management, integrations, and pricing models before choosing a platform.
• Gojiberry takes a signal-based approach, combining ICP fit with behavioral and company signals before prospects enter outreach.
• Platforms differ significantly in how they source leads, enrich data, personalize messages, and manage replies.
• Pricing structures also vary, from self-serve subscriptions to custom enterprise contracts.

What Agencies Should Look for in AI SDR Software

Agency requirements differ from those of in-house sales teams. Managing outbound for multiple clients means juggling different ICPs, messaging strategies, sending accounts, workflows, and reporting requirements. The wrong platform can introduce operational overhead instead of reducing it.

A strong AI SDR option for agencies should provide:

• Autonomous or semi-autonomous workflows that reduce manual intervention
• Prospecting or enrichment capabilities suited to the agency's campaigns
• Multichannel sequencing across relevant outreach channels
• Pricing that can scale with client portfolios
• Multi-client or workspace management where required
• CRM integrations that match clients' existing systems
• Reporting suitable for campaign and client performance reviews

For agencies exploring intent-driven prospecting, Gojiberry tracks behavioral and company signals such as competitor engagement, LinkedIn activity, job changes, hiring activity, company growth, and funding events. These signals provide additional context for deciding when outreach may be relevant rather than relying only on static prospect lists.

1) Gojiberry AI: Best for Signal-Based Multichannel Prospecting

Gojiberry AI is an AI outbound platform that combines ICP targeting with behavioral and company signals to identify prospects before running LinkedIn and email outreach.

Rather than starting with a static contact list alone, Gojiberry uses ICP criteria to establish who is relevant and signals to provide context around when outreach may be better timed.

Why It Fits Agencies

Gojiberry's Custom plan is positioned for outbound agencies and sales teams with five or more users. Agencies can use separate AI agents for different ICPs or audiences while combining prospect discovery, scoring, enrichment, and outreach in one workflow.

The platform also supports both automated workflows and Review Mode, allowing teams to approve leads before they enter outreach when additional client oversight is required.

Key Capabilities

• ICP-based prospect targeting
• Behavioral and company signal detection
• AI lead scoring based on ICP fit and signals
• Waterfall enrichment using 15+ data providers
• LinkedIn and email outreach
• AI-generated, template-based, or fixed messaging
• Human-in-the-loop Review Mode
• Unified LinkedIn and email inbox
• HubSpot, Pipedrive, API, and MCP connectivity
• Automated sequences stop after a prospect replies

Pricing and Considerations

Gojiberry has two paid plans with the Pro plan costing $99 per month and currently includes two AI agents, two LinkedIn seats, 200 monthly credits, and up to 1,800 contacted prospects per month. Additional AI Outreach Agents are available for $59 per month.

The Custom plan offers configurable agent counts, prospect volumes, and account requirements for larger teams and agencies.

Signals should be treated as additional context for prioritization rather than proof that a prospect is ready to purchase.

2) Amplemarket Duo

Amplemarket combines sales intelligence, prospecting, engagement, intent signals, and AI assistance within one sales platform. Duo Copilot helps teams research prospects, create outreach, and manage sales activities while keeping users involved in the workflow.

Why It Fits Agencies

Amplemarket can suit agencies that want a consolidated prospecting and engagement system while maintaining human oversight of client messaging.

Its combination of data, signals, multichannel sequences, and AI-assisted workflows can reduce the number of separate systems agencies need to coordinate.

Key Capabilities

• 200M+ contact database
• Multichannel sales sequences
• AI intent signals
• Duo Copilot for AI-assisted workflows
• Email and phone data
• Data enrichment
• CRM integrations
• Deliverability features

Considerations

Agencies should compare available contact allowances, user requirements, and plan features with the number and size of client campaigns they expect to manage.

3) Salesforge Agent Frank

Agent Frank operates as an autonomous AI SDR within the Salesforge ecosystem. It combines prospect sourcing, research, outreach, and follow-up while giving teams the option to choose between autonomous and approval-based workflows.

Why It Fits Agencies

Agent Frank uses active-contact pricing rather than a traditional per-seat model. That structure can make costs easier to connect to the volume of prospects being processed.

Teams can also choose between Auto-Pilot and Co-Pilot modes depending on how much review they want before outreach runs.

Key Capabilities

• Auto-Pilot and Co-Pilot modes
• 500M+ contact search engine
• Prospect research and outreach
• Multiple language support
• Configurable AI agent
• Optional email infrastructure
• Dedicated account management on applicable plans

Considerations

Agencies should evaluate how the active-contact model maps to their campaign volume across multiple clients.

4) Qualified Piper

Qualified Piper focuses primarily on inbound sales workflows. It engages website visitors, answers questions, qualifies prospects, and helps route or book qualified opportunities.

Why It Fits Agencies

Piper may be relevant for agencies working with clients that already generate meaningful website traffic and want AI-assisted qualification rather than primarily cold outbound prospecting.

Its Salesforce-oriented ecosystem can also be relevant when agency clients already use Salesforce as their central CRM.

Key Capabilities

• Real-time website engagement
• AI-assisted conversations
• Prospect qualification
• Meeting booking
• Website visitor identification
• Salesforce integration
• Follow-up workflows

Considerations

Agencies should evaluate Piper primarily around inbound traffic volume, Salesforce requirements, and the types of conversations they want the agent to handle.

5) Artisan Ava

Artisan's Ava is an AI BDR designed to support prospect research, contact discovery, personalization, and outbound execution from one system.

Why It Fits Agencies

A combined data and outreach workflow can be useful for agencies that want to reduce the number of separate prospecting, enrichment, and engagement systems involved in campaign execution.

Key Capabilities

• Built-in B2B contact data
• Prospect research and enrichment
• AI-assisted message creation
• Outbound campaign automation
• Email deliverability capabilities
• Calling functionality
• Campaign analytics

Considerations

Agencies should confirm current pricing directly with Artisan and evaluate how account structure, campaign volume, data usage, and sending requirements apply across multiple clients.

6) AiSDR

AiSDR combines prospecting, contact research, personalization, and outbound execution. It is designed to automate significant portions of the SDR workflow while still allowing sales teams to configure targeting and messaging.

Why It Fits Agencies

AiSDR publishes tiered plans, giving agencies a clearer starting point for comparing expected campaign costs with alternatives that rely entirely on custom quotes.

Its workflow combines prospect data, research, and outreach rather than requiring agencies to assemble each component independently.

Key Capabilities

• Prospect database
• AI-powered research
• Personalized outreach
• Email and LinkedIn workflows
• SMS functionality
• Campaign automation
• CRM connectivity

Considerations

Agencies should check its current official pricing before purchase because plan limits, included services, and usage allowances can change.

7) Reply.io Jason AI

Reply.io's Jason AI adds AI-driven prospecting and campaign execution to the broader Reply sales engagement platform.

It can coordinate outreach across multiple channels, making it relevant for agencies that want to manage more than email alone.

Why It Fits Agencies

Agencies already using Reply can add AI-driven workflows without migrating to an entirely different sales engagement environment.

The wider Reply ecosystem combines prospect data, sequencing, integrations, and outreach management.

Key Capabilities

• Email outreach
• LinkedIn outreach
• Calls
• SMS
• WhatsApp
• AI-assisted personalization
• Contact data
• CRM and workflow integrations

Considerations

Agencies should compare the combined cost of the underlying Reply subscription and any AI capabilities needed for each client workflow.

8) Apollo.io

Apollo combines a large B2B contact database with prospecting, enrichment, sequencing, and sales engagement capabilities.

Its breadth makes it relevant for agencies that want lead discovery and campaign execution inside the same system.

Why It Fits Agencies

Apollo's free entry point allows teams to evaluate the interface and basic workflow before committing to a paid plan.

The combination of data and engagement features can also reduce the need to purchase a separate prospect database for early-stage campaigns.

Key Capabilities

• B2B contact and company database
• Email and phone data
• Prospecting filters
• Email sequencing
• Dialer functionality
• Chrome extension for LinkedIn workflows
• CRM integrations
• Free plan

Considerations

Agencies running several client accounts should pay particular attention to credit consumption, data requirements, and workspace structure when estimating costs.

9) Clay

Clay focuses on data enrichment, research, and configurable GTM workflows. Rather than operating solely as an autonomous SDR, it gives teams building blocks for constructing custom prospecting and enrichment systems.

Why It Fits Agencies

Clay can suit agencies that want greater control over how data is sourced, enriched, researched, and passed into downstream outreach tools.

Its workflow builder also makes it possible to create different data pipelines for clients with different ICPs or enrichment requirements.

Key Capabilities

• Waterfall data enrichment
• Claygent AI research agents
• Configurable workflow builder
• Data-provider integrations
• AI-assisted research
• Prospect qualification workflows
• Connections with outbound and CRM systems

Considerations

Because Clay is designed as configurable GTM infrastructure, agencies may still pair it with other systems for parts of their outreach workflow depending on their campaign setup.

Why Signal-Based Prospecting Changes the Outreach Workflow

Many prospecting workflows start with a static list: identify companies and people matching an ICP, enrich their contact information, and place them into a sequence.

Signal-based prospecting adds another layer. Instead of deciding who to contact based only on attributes such as job title, industry, or company size, teams can consider behavioral and company events that provide additional context around timing.

Gojiberry combines ICP fit with signals such as competitor engagement, LinkedIn activity, job changes, hiring activity, company growth, funding events, and related engagement before prioritizing prospects.

The approach does not prove that someone is ready to purchase. Signals provide context that may make one prospect more relevant to contact now than another equally well-matched prospect.

Gojiberry's customer case studies provide examples of how individual teams have used this approach.

According to its ChargeMate case study, the company reported 5–8x higher reply rates compared with its previous outbound approach. Its Mindflow case study reports 31–35% reply rates, with 21% of replies converting to MQLs. GTE Localize reported more than 100 meetings during March and April.

These are individual customer outcomes rather than guaranteed results, but they illustrate how signal context can be incorporated into outbound prospecting.

Choose Gojiberry for Signal-Based Agency Outreach

For agencies comparing AI SDR software, the main consideration is not simply how much outreach a platform can automate. The more important question is how prospects enter the workflow in the first place.

Gojiberry combines ICP targeting with behavioral and company signals before leads are scored, enriched, and placed into LinkedIn and email campaigns. That makes it particularly relevant for agencies that want to prioritize better-timed prospects rather than build every campaign around static lists alone.

The Pro plan provides a self-serve starting point, while Gojiberry's Custom offering is specifically positioned for larger sales teams and outbound agencies requiring additional agents, prospect volume, or account capacity.

Agencies looking to test signal-driven outbound can try Gojiberry for free.

Frequently Asked Questions