AI Heat Map Analysis - #LocalSEOStrategy - video Dailymotion

tmblast

Greg from TM Blast breaks down how he uses AI driven research using #MicrosoftCopilot and #LocalSEO heat map data from @localfalcon   can be used to better understand ranking trends, visibility shifts, and where the true opportunity is for more leads.  Greg Kristan explains how to interpret Local Falcon heat maps, what green, yellow, and red dots actually represent, and how dot movement over time shows whether Google Business Profile and website optimizations are working. Instead of guessing, this approach focuses on measurable ranking progression across higher population areas, not just one point on the map.  This video also explains why rankings rarely flip overnight, how Microsoft Copilot helps support deeper research and pattern recognition, and how early improvements in competitive, populated zones often lead to increased phone calls and inbound leads over time.  If you are running Local Falcon scans, optimizing Google Business Profiles, or trying to decide where to focus your local SEO efforts next, this walkthrough provides a clear framework for making data driven decisions instead of relying on assumptions.  #LocalSEO #GoogleBusinessProfile #LocalFalcon #SEOHeatMaps #MicrosoftCopilot #AISEO #LocalSearchMarketing #GBPRankings #SEOAnalysis #TMBLAST  Timestamps: 0:25 Green Dot Progression via SoLV 0:55 Population Density AI Review via Those Dots 1:28 Expanding into the Downtown Salt Lake City Area 1:56 How Long Does Local SEO Take? 2:24 A Big Increase in Searches is Key 3:00 How I Talk About the Heat Map with My Clients 3:40 What I Do Next for AI Local SEO Analysis  Want to run a free heat map scan of your business using Local Falcon? You can use my free affiliate link: https://localfalcon.com?fpr=greg81  Want me to do this type of analysis for your business? https://tmblast.com/services/ny-local-seo/

Transcript

00:00Hey everyone, what's going on? Greg here again from Team Blast. I'm in Microsoft Copilot and I have

00:04three uploads from Local Falcon for one of my clients. This is the heat map. This is what I

00:08do next. So I'm going to say review these three images and let me know which dots have flipped

00:18to green. And I'm going to say that means a page one ranking on Google search, which is good.

00:27And then say, and then break down by the neighborhood, the population of those dots.

00:41Next, I want to see what the population size is of the latest scan that is read in the, or on the,

00:53on the upper right of the map. Okay. So I have a few prompts going on within Copilot.

01:02So this is actually kind of what I'm doing next. So they've, you know, Copilot has analyzed the three

01:07scans. So, you know, basically before, middle and after. Then I have the dots have flipped. So this

01:12is actually really important. So when I'm talking to my clients, a lot of this is saying based off

01:16the latest scan that took on December 29th, upper West side had three dots flip. And then you, as

01:22you can keep going through Harlem, East Harlem, et cetera, this is really important, especially if

01:26you're not too familiar with the location. So me as a consultant, I'm in New York, I have clients all

01:31over the place. And, you know, for example, like in San Diego, I don't really know the neighborhood.

01:35So I use this type of analysis to really analyze the heat map to get an understanding of what dots have

01:40flipped. But then let's actually count on what I do next. So within the Copilot analysis that I just

01:46did, then I want to look at different population sizes. So within New York City, it's a little bit

01:52difficult to get the granular pocket level of population because it's so small and it's so

02:01densely populated. But if you were, let's say where I am in, in upstate New York, if you were, let's say

02:07in Saratoga Springs or Ballston Spa, it's a little bit more populated. But if you go out

02:12to like Greenwich or other neighborhoods too, the population size can really decrease from,

02:16let's say 25,000 to then 2,000. So this analysis that I'm doing within Copilot really allows me

02:23to see, okay, here's the neighborhoods that I flipped. And then also kind of what is the

02:26potential opportunity? And this is what I really like. Estimated population coverage based on the

02:30average dot coverage, census data, about 160,000 residents that we could be going after for

02:36this particular type of heat map and the keywords. Now, obviously not everyone's gonna be searching

02:40for that, but it's the pockets of opportunity is really important. So when I'm talking with my

02:44clients and we're going over the heat map scan and we're talking about dots that are flipping and

02:49how many searches we're getting, how many impressions we're getting, and website clicks

02:53and phone calls, the next part of the conversation really is where are the pockets of population?

02:58So I use Copilot to get that initial baseline. And then I kind of share those results with my

03:02client and we talk about, do we want to go after these areas? How important are these

03:05thoughts for us to flip? And then also more importantly, this is where our target audience

03:09is, especially in New York City too. Are they going to be willing to let's say travel via train

03:14or subway or maybe car to the location for the particular service that my client provides?

03:21But anyway, I want to just record this video, talk a little bit of how I use Copilot to analyze

03:26the heat maps and kind of figure out the next steps, what I need to do with my clients,

03:29but just have that next step of the conversation, which is where we really want to target to

03:34flip more dots. Anyway, thanks for watching this video and stay tuned for the next one.

AI Heat Map Analysis - #LocalSEOStrategy

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