Ilan (00:00)
I used to say I was six one. I went to the doctor recently and he was like, maybe in shoes. He's like, you are six feet. You are six feet.

David (00:05)
Nice. Yeah. Yeah. Let's just stop it there.

Ilan (00:12)
Yeah, exactly. He's like, you can still tell people you're six one. That's fine. ⁓ I've got my entire life thinking that I'm six one.

David (00:17)
Yeah, yeah, exactly.

Ilan (00:22)
Welcome to Prompt and Circumstance. I'm Ilan

David (00:24)
And I'm David.

Ilan (00:25)
And today we are going to do a first look of a new AI tool called Outbond

All right, David, on today's episode, I have been bombarded on LinkedIn with information about this new tool Outbond And this is supposed to be the new vibe GTM tool or vibe go to market tool. And the founder Christian Peverelli has been around for a while making videos about how

People can create businesses with NoCode how to solve problems with AI. has hundreds of thousands of viewers on YouTube. And so I was really interested to see what he came up with. So should we give it a try?

David (01:24)
Yeah, sounds good. It sounds like Outbond is a play on words on outbound maybe.

Ilan (01:32)
That's right, yeah, outbound ⁓ with James Bond, because it's an agent.

David (01:37)
haha, I see what you did there. Okay, nice.

Ilan (01:40)
That's what I think anyway. ⁓

Alright Christian, we're on to you.

Ilan (01:45)
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Ilan (02:14)
All right, here we are on OutBond's landing page and their hero message here is get your dream customers by chatting with AI.

David (02:24)
I like the color palette of all this, the way. ⁓ The sky blue and the purple.

So, I read the other day that the whole idea of associating gradients with AI, came from somebody at Microsoft who said, look, this is how, know, we can just signal to the user that something is AI So that was interesting to me.

Ilan (02:50)
That's super interesting. ⁓ We should link to that in the show notes. I'd love to learn more. basically what they offer here is finding targeted prospects, enriching your leads and creating personalized messages and in general creating

Entire lead gen flows out of this tool. So something similar to what we've seen a Lindy for example Being powerful at before but really targeted to this use case rather than being a generalist tool

David (03:28)
Got it.

And if I may pick some nits.

Ilan (03:31)
Please do.

David (03:32)
I noticed that when they wrote linked in, the I is lowercase as opposed to the correct way of spelling it, which is with a capital I. So maybe that is actually handwritten as opposed to written by an LLM because an LLM would not make that kind of spelling mistake.

Ilan (03:51)
to wrap up on the marketing page here they have three tiers just like is recommended in the PLG playbook starting with a free tier at 500 credits per month and their bond agent a $100 per month tier

where you get 2,500 credits and then an enterprise tier. So we're gonna give it a try with the starter tier and see how this works.

David (04:22)
Sounds good.

So if we get a bond agent, would it be like a Daniel Craig or would it be more like a

Sean Connery.

Ilan (04:30)
I just hope it's not a Timothy Dalton.

David (04:32)
Okay, yeah, yeah, I thought you were gonna say Pierce Brosnan. He was he was all right Pierce Brosnan.

Ilan (04:36)
He

was fine, I loved GoldenEye.

All right, so here we are in their dashboard and ⁓ you know, pretty bog standard AI chat interface, but there are three approaches that they suggest. ⁓ One is build me a list of marketing managers at tech companies in Austin, Texas with 11 to 500 employees. It's a pretty big range. ⁓

Second is find prospects for me based on my website. And third is create a list of senior product managers at these companies. And I'm really interested in the second approach here.

so I've grabbed the link from Lovable for the site that we created a few weeks ago for our app that saves millions of hours for teachers. And let's see what it comes up with for a list of prospects to reach out to.

David (05:34)
All right, let's do it.

Ilan (05:36)
So this is interesting. It started out with understanding who our user is or who our ICP is based off of what it learned from the website.

David (05:46)
That's cool. Now it's describing platform features here. Are all of those correct?

Ilan (05:52)
I don't know, it got rid of them.

David (05:55)
It heard

what we were saying. Look at that.

Ilan (05:59)
All right, so it's done a scrape and it's found an initial list of 25 people that it's showing us out of 200,000 that it said it found. And it...

specifically targeted course creators, online educators, digital coaches, training managers

David (06:17)
Okay, interesting. I thought that I would have expected Outbond to include, you know, teachers in there.

Ilan (06:23)
teachers.

I'm also interested in that.

But that being said, it does allow you to adjust the targeting criteria.

So we can tell it, for example, to focus on education workers and please include principals, VPs, and other workers at school boards or secondary schools. Let's see what it does with that information.

David (06:41)
Let's see what it does, yeah.

This is cool though, right? Like the fact that such a tool exists, you know, even if it's not a hundred percent precise, I think it can be a good start for a lot of people.

Ilan (06:48)
Yeah.

For sure. And the fact that it pulled all of this from our website, right? We didn't tell it what to do at all. We just gave it a link to the website.

all right. So we found this prospect list and, ⁓ we're going to import these leads and see what happens.

All right, so here we are. We've imported a list of 25 education workers we're going to use as our sample set and it's given us some next steps that we can take. Like for example, enriching contact information or finding research angles.

to create personalized messages and then creating sequences, so personalized email or LinkedIn DM sequences

David (07:37)
our viewers on the video side of things might have noticed that we've hidden the name column. ⁓ And so normally there would be a name column here, but because of the fact that this is public, we're redacting that. So under normal circumstances, I think we would go and pursue enriching.

the contact information and getting exactly how do we reach out to them besides in a LinkedIn message. But for purposes of this episode, why don't we dive into the research angles? I'm curious what suggestions OutBond

Ilan (07:57)
Mm-hmm.

Yeah, let's do it.

David (08:13)
All right. So it came back with two recommended research angles. The first being around the school or district initiatives and their technology adoption and the other being hiring activity and staffing changes. And it's asking us, which one do we want to start with? And we're saying, let's do both.

Ilan (08:31)
Let's do it.

Alright, outbound. We're trusting you here to do some deep research on each of these individuals. This is pretty cool if it works. I mean, it basically has to go to 25 individual districts, 25 different locations, and do some research on those and try and understand And I can see that it's using perplexity.

David (08:51)
Yeah.

Ilan (08:54)
research.

David (08:55)
yeah. Look at the, ⁓ the perplexity icon there. Look at that. ⁓ you know, to, your point, it's, ⁓ it's a lot of queries, right?

Ilan (08:58)
That's right.

So we've been given five sample rows here, which makes sense. It probably doesn't want to munch all your credits without you confirming that, this is ⁓ indeed the information that I want to see.

It looked at school initiatives and on four of the five rows, it found some key initiatives that are happening at the schools It's created an outreach angle around that. And it's also found information on three of them about

hiring activities, so recent job postings, even without explicit announcements, but it's created a summary telling us that, for example, our first example here is ⁓ demonstrating steady hiring and ongoing ⁓ faculty growth. So ⁓ very keyed in and ⁓ specific information about each of the prospects that we're looking at here.

David (09:49)
Nice.

That's great. Yeah. This is, ⁓ certainly the kind of, ⁓ hand cranking that, ⁓ I'm sure everybody wants to eliminate.

Ilan (10:05)
Yeah, absolutely.

So just to wrap up here, we do have three different views. So we started off in the prospecting view. That's where we generated our initial list. The table view is where we've brought in the information and we have files as well. So presumably we can generate CSVs or other files that we wanna pull out from here.

Maybe as a last step, can generate an initial email for each of the five contacts at the top of the list. Let's try that out.

David (10:38)
Yeah, let's do it.

Ilan (10:39)
So we've told outbound to generate an initial outreach email copy for each of the five enriched contacts at the top of the list. Let's see what happens.

David (10:47)
I appreciate that the wrench is animated. That's a nice little delighter.

Ilan (10:49)
Definitely

after just a few seconds

We got a subject line, message copy, personalized to the person. And it's also told us ⁓ what level of personalization it's created. So

In our last example, it wasn't able to find much information specific to that educational institution. only have medium level of personalization. It's personalized to this individual and their institution, but maybe not the recent news or ⁓ follow-up information that it had enriched our data with.

David (11:27)
Yeah, that's neat. I can imagine, again, when you're playing the volume game where you're like, all right, you know what? I only wanted to send messages out to those where the personalization is high.

Ilan (11:39)
Mm-hmm, that's right. So overall, I would say here in less than 20 minutes, we've gotten a list of people within our ICP and we've gotten personalized outreach and we've created some message copy. And I wonder if we can just export this whole thing as a CSV. Look at that.

we can download it and now we can

David (12:05)
That's awesome.

And do a mail merge. Yeah. That's awesome. ⁓ yeah. You know, this is, ⁓ this is a game changer for, ⁓ lot of businesses. ⁓ you know, I was going to say for small businesses, but I can see larger ones using this as well. You know, ⁓ it's, it's really across the board that, ⁓ you know, there's now the possibility to have these kinds of.

very material, ⁓ efficiency gains, ⁓ for, for prospecting work. think the challenge is going to be,

What's going to happen on the receiving end? You know, are we going to be just bombarded by all of these hyper personalized emails and And then what like they all seem great and we just don't have enough time to respond to them all So that'll be interesting ⁓

I, and you the other thing that I'd be curious about that we didn't get to explore here is, um, you know, it, talked about, uh, you know, some, some European capabilities. believe in, in, uh, the, Germany and, and, Austria regions, they don't really use LinkedIn all that much. They use something called like xing or xing like X I N G. I don't know how, how do you say it? Um, so I'd be curious whether outbond uh, is able to scrape that.

I think for, LinkedIn being a relatively de facto standard in North America, it's very powerful. Yeah. Thanks for showing us that.

Ilan (13:33)
Yeah,

absolutely. And ⁓ I agree with you. I mean, I think this is very much in the B2B SaaS world in North America. It's probably where you're gonna find the most power out of this tool, but that's a big world.

David (13:48)
It's a big world. Yes, lots of money in it.

All right. Well, that was a great look through OutBond. I think it's a great tool that any company ought to have a look at.

Ilan (13:50)
Alright.

Definitely, definitely ⁓ intelligent not artificial.

David (14:04)
Yes, that's right.

Good throwback.

Ilan (14:06)
And with that, that's all we got for you this week. Give us a like and a subscribe, leave us a comment. Are there other AI tools that you'd like us to check Otherwise you can follow us @pandcpodcast on all of the social media links.

David (14:20)
All right, see you next time.

Ilan (14:22)
See ya.