Full transcript
0:00What is going on, guys? Okay, so I have
0:02built a pretty cool agent or agents,
0:06should I say, that's going to help me
0:07with my AI visibility when it comes to
0:11SEO. So, what does that basically mean?
0:13Well, I'm wanting to understand if
0:15triggery is ranking in any search
0:17queries. If someone is searching for
0:19something in Gemini, ChatgBT,
0:22Claude, Perplexity, whatever it is,
0:25basically. So this is how I've done it
0:27and I've used NA10 to allow me to do
0:29this. So first of all, let's have a
0:31look. So I have this uh kind of aentic
0:35automation running where first of all
0:37we're using NA10's new uh table feature
0:39here to get rows from a database. And so
0:43in this database I have all of the
0:45different search terms. And so what
0:47happens is my team comes in here and
0:48they'll add a search term if we want to
0:50see if we're being uh tracked or or
0:54talked about within uh any kind of LLMs.
0:58So it's as simple as coming in here and
0:59saying okay
1:01uh maybe you're searching for you know
1:03the top uh social signal tools for B2
1:09B2B. So, I add that in. Uh, and that's
1:13now going to pull through into this
1:15search query whenever this basically
1:16runs. At the moment, I'm hitting it
1:18manually to to run it, but I'm going to
1:21change this to a schedule, and it will
1:22check for me every day. What happens
1:25then is it's going to hit the this
1:27master agent, which controls the these
1:29three sub agents. At the moment, I'm
1:30using Plexity, Gemini, and Claude. So,
1:34it's searching perplexity, it's
1:36searching Gemini, and it's searching uh
1:38sauna. at the moment. Uh I need to add
1:40chat GPT into here as well. And what
1:43it's doing is it's taking the uh the
1:46search term and it's searching across
1:48these models and then it's looking at
1:51all of the citations that this model is
1:53doing and then everything that is talked
1:55about, spoken about, everything from the
1:57uh that data coming back. So how does
1:59this actually look? So, I've created an
2:02additional table inside of here
2:05uh called AI SEO results. And what this
2:09is doing is this is showing me the
2:11search term that it's basically uh
2:14searched for. So, we can see here this
2:16one was find me the top 10 social
2:18listening companies. I have all of the
2:20citations. So, these are all of the
2:22sources that the LLM used to go and find
2:25this list. Then, it's broken down into
2:27the category. So news site uh was one
2:31three were company blogs and one was
2:33other
2:34and then uh didn't mean to do that and
2:36then this these are the companies that
2:37were mentioned as well. So, sprinkler,
2:39brand watch, talker, meltwater, sprout,
2:41social, mention, hoot, sweetite, buffer,
2:45so on and so on, right? Uh, and then it
2:47gives me the LLM that it was uh using.
2:51Um, and then we also have is triggery uh
2:56like was triggery mentioned and uh
2:59pretty cool here. So, this one was find
3:00me the top 10 B2B social signal tools.
3:03We are coming up in Claude. Rock on.
3:08Uh so really good way of just
3:10understanding are you getting the
3:11visibility working out what sources are
3:14being constantly referenced uh and uh so
3:18that maybe you can even try and think
3:20about some backlinks into these sources
3:22or how you could get some mentions, how
3:23you could start to potentially stack
3:25rank yourself against these competitors,
3:27so on and so on. And you can build
3:30another agent that taps into this
3:31information to surface all of this to
3:34you, which is currently what I'm in the
3:35process of doing. But as always, if you
3:39want access to this uh and you just want
3:41to get some light level understanding,
3:43are you being spoken about in these
3:45different LLMs? uh what are the sources
3:47being cited and what are the companies
3:49being talked about currently then let me
3:52know and drop a comment below and I will
3:55share the tab with Okay.