You care about improving the entire lifecycle of buyer and customer journeys. And you want inspiration for areas where Ai may help.
You want inspiration for real-world ways to help people as you're building your Ai product.
You're focused on the Awareness stage in your daily job and want to find ways for Ai to help you do more with less.
Teams wanting to transform unknown site traffic into potential leads can use this approach. With IP de-anonymization or reverse DNS, you detect which company is browsing your pages, then gauge their fit.
After verifying the visitor is worth pursuing, you find relevant contacts and use AI to draft an email referencing recent site activity. This approach is especially effective for B2B solutions with strong alignment to certain industries.
Ultimately, it moves from mere analytics into active prospecting by reaching out to web visitors proactively. This shortens the delay between interest discovery and first contact, creating an advantage over slower competitors.
Does this AI agent workflow rely too much on AI and not enough on human know-how? Or the reverse? Is it missing steps or tools?
Note that this Ai workflow is presented as inspiration for what's possible. Adjust the amount, type and quality of the data inputs. Adjust how much or how little your human team mates (or you), AI and fully autonomous agents contribute.
And test it! Learn what works and what doesn't.
Don't forget! In the end, it's not just about efficiency. It's about delivering great experiences for your customers and customers-to-be.
Generate custom AI agent blueprints specifically for your B2B