FullContext uses AI to engage, qualify, and demo your buyers 24/7 via natural language conversations.
It does that by unifying conversational and content agents, which can then engage in conversation with prospects and show them resources related to the conversation via live chat and email.
The result? A smarter GTM workflow powered by AI agents.
We spoke with Graham Ralston, GTM Strategy at FullContext, to learn more about how this AI marketing solution works.
In a single sentence or statement, describe FullContext.
Go-to-market (GTM) orchestration using natural language to program agents for inbound and outbound.
How does FullContext use AI in its products or services?
We created the first unified AI conversational + content (product tours, videos, PDFs, etc) agent. You no longer need to build linear path flows, instead use natural language to instruct your agents who can engage in conversation and show resources related to the conversation both in a live chat or via email.
What are the primary marketing use cases for your AI-powered solutions?
Inbound (interactive tours, chat, self guided tour) and outbound (agents for email sequencing) with the goal of scheduling meeting with our solution.
What makes your AI-powered solution smarter than traditional approaches and products?
It saves time and money with an easy setup using natural language. Marketers can deploy a use case in under 10 minutes by crawling their website to train an agent and using a natural language prompt to instruct the agent. The full orchestration allows us to enrich website visitors as signals, engage in conversation, and orchestrate outbound email sequences.
Are there any minimum requirements for marketers to get value out of your AI-powered technology? (e.g. data, list size, etc.)
Website traffic for inbound and campaign ideas for outbound.
Who are your ideal customers in terms of company size and industries?
Size: 20-500 employees. Industries: Tech, Manufacturing, Recruiting.
What do you see as the limitations of AI as it exists today?
Not necessarily AI, but website visitor enrichment still has a long way to go for companies to truly trust. We still need first-party verification for user identity.
What do you see as the future potential of AI in marketing?
A transformation from the traditional website to agents led landing pages that adapt in live time to the buyer's interest.
Any other thoughts on AI in marketing, or advice for marketers who are just starting with AI?
Don't sit on the sidelines, get started now and experiment!