GetRev helps B2B marketing teams and agencies identify relevant audiences, plan thoughtful campaigns, and reach buyers through a managed service. Six connected capabilities bring audience intelligence, content, campaign execution, and follow-up into one considered program—not six standalone tools.
Then connect the work from planning through follow-up.
Each capability addresses a different campaign need. Together, they help shape an audience-informed plan, reach buyers, and provide useful context for the next conversation.
GetRev connects audience selection, campaign design, multi-channel execution, and lead delivery in a managed B2B demand generation program.
A capable team may have content and goals, but not the time or focus to connect audience selection, campaign design, and execution.
B2B marketing teams and agencies that want a managed campaign partner.
A coordinated demand generation campaign, with leads and available response context for follow-up.
GetRev uses company operating characteristics to refine your ideal customer profile and prioritize relevant accounts.
Firmographics alone can group together companies that operate very differently and have different priorities.
Teams refining an ideal customer profile or exploring which accounts best fit a campaign.
A prioritized audience and a clearer view of account fit, informed by operating characteristics as well as firmographics.
Agent Syndication adds a Content Agent to a traditional form-fill page and optimizes the content for answer engines (AEO).
A form alone can miss buyer context, while content that is not answer-ready can be difficult for AI assistants to extract and cite.
Teams that want buyers to engage with their content on-page and discover useful answers through AI assistants.
Asset-grounded buyer conversations, available lead context, and AI Visibility analysis with actionable AEO/GEO content improvements.
AI-assisted Campaign Simulation evaluates campaign choices before execution to inform the audience, message, and content plan.
Campaign choices are harder to assess when audience, content, and message are considered in isolation.
Marketing teams planning a campaign and looking to pressure-test the approach before execution.
An audience-informed campaign plan and considerations that can inform pre-campaign adjustments. Simulation does not guarantee leads, conversions, or revenue.
Campaign Optimization reviews engagement and available response signals to inform changes to the campaign approach.
Once a campaign is underway, teams need a considered way to interpret response and decide what to refine.
Teams reviewing campaign engagement and available response signals to inform next steps.
A review of campaign response with recommendations to inform refinements; it is not a promise of automatic real-time improvement.
Content Optimization reviews your message and assets to assess their alignment with the selected audience.
Useful content can miss the mark when its message does not fit the audience's priorities or interests.
Teams assessing existing assets and how they align with a selected audience.
Content and message recommendations, including audience-alignment guidance. It does not guarantee discoverability.
Industry, company size, and location describe a company, but not necessarily how it operates. Exegraphics add that operating context to audience selection, helping teams understand fit and prioritize relevant accounts.
Two companies in the same industry may have different technology priorities. Those operating differences can matter when deciding which audience fits a campaign.
Agent Syndication connects two parts of the buyer journey. A Content Agent sits alongside a traditional form-fill page, answers questions from the asset, and helps capture buyer needs and intent before or during an opt-in.
AI Visibility work prepares that same content for answer engine optimization (AEO): answer-first summaries, question-led headings, FAQ formatting, and standalone passages that AI assistants can extract. Generative engine optimization (GEO) strengthens citation readiness with sourced claims and clear entities. Each asset receives actionable findings and fixes.
Qualification criteria and handoff are agreed for each campaign. AI visibility and citations are not guaranteed.
Simulation informs campaign planning before launch. Once a campaign is active, its engagement and available response signals can inform a review of what to refine. Content optimization looks at audience and content alignment—not guaranteed reach or results.
Consider audience, content, and campaign goals.
Look at engagement and available campaign signals.
Use what you learn to inform future adjustments.
A planning and learning aid, not a promise of leads, conversions, revenue, or automatic real-time improvement.
Look beyond lead volume. Review the measures that reflect audience relevance, meaningful engagement, and the value of follow-up for your team.
Leads are shared with available campaign engagement context. Qualification criteria and handoff are agreed per campaign, so your team can assess what to do next with a shared understanding.
Straight answers about the service, its capabilities, and what a campaign can provide.
GetRev provides AI demand generation as a managed service. Its six connected capabilities—Demand Generation, AI Audience Intelligence, Agent Syndication, Campaign Simulation, Campaign Optimization, and Content Optimization—support audience selection, campaign planning, execution, and follow-up.
GetRev is a managed demand generation service, not six standalone software products. Its team brings the capabilities together around your audience, content, and campaign goals.
Firmographics describe what a company is, such as its industry, size, or location. Exegraphics describe how it operates, including characteristics that can provide context about its priorities and approach.
Agent Syndication has two parts. A Content Agent sits alongside a traditional form-fill page, answers questions from the asset, and captures buyer context. AI Visibility work optimizes that content for answer engines (AEO), using direct answers, question-led headings, and extractable passages. GEO guidance strengthens sourced, citable claims; optimization does not guarantee AI citations.
Campaign Simulation helps inform planning by considering the audience, message, and content before execution. It supports decisions; it does not guarantee leads, conversions, or revenue.
Qualification criteria and the handoff approach are agreed for each campaign. Leads are provided with available context, such as relevant engagement signals, to help inform nurturing and sales follow-up.
Agree on relevant measures for the campaign and review audience fit, engagement, lead quality, sales acceptance, and downstream pipeline contribution. These measures give a fuller picture than lead volume alone.
Talk with GetRev about the audience you want to reach and what a useful campaign outcome looks like for your team.