Fiona asks, "Any tips for a light content web audit? Ever magic'd up something quick based on little information or objectives?"
If we consider the purpose of a content audit, it's to understand the value of a content marketing opportunity. That means a few things:
- How large is the conversation space? That we determine with social and search tools to find all related terms.
- How large is the audience opportunity? That we determine with keyword search volume.
- How well does the website map to the audience? That we determine with rankings for the selected keywords.
- What's obviously broken on the website that needs repairs in the ranked pages?
- How much competition is there? That we determine with competitive rankings.
- Finally, where are the gaps in competitive rankings? Where is the opportunity?
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What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for watching the video.
In today's episode Fiona asks any tips for a lightweight content audit ever magic up something quick based on little information or objectives? Yes, all the time, especially my old agency days, when a client literally had no idea what they were doing, and and we were not allowed to go outside certain boundaries and things, obviously much less of a problem now that I run a company of my own.
So if we consider the purpose of a content audit, it is to understand the value of a content marketing opportunity, right to understand is there there there? Is there something that we can take advantage of, is there something that we need to protect in order to be able to do our marketing most efficiently so this is really is a six step process that can be done with you can scale the level of sophistication, right, so the framework remains the same as how much effort you put into each step, you could spend five minutes on each step, you could spend half a day on each step really digging in? So it depends on what you want to do.
So six steps, number one, how large is the conversation space itself, and that's something that you would determine with social media tools, search tools to find all related terms.
So real simple example, if I'm looking for Irish beers, right? I would start with a search my social media monitoring tool for like Irish beer.
And then for whatever brands that you can remember, like Guinness, for example, is gonna say, I think it is Irish.
I clearly don't drink a lot of Irish beer.
And that would give me a set of keywords, phrases that are highly co occurring around that, that I would want to then use to assess the space.
So what are the terms that are on target for the brand, and then related terms in discussions that people have, and in content out there on the web, that indicate these are also terms you'd want to rank for? This is more than just SEO, because in a lot of cases, you're looking for co occurring terms that may or may not be keywords that a brand is thinking about this is goes back to the yesterday's episode on modern day SEO.
If you're talking about Irish beers, you're probably talking about certain types of pubs, certain types of glasses, certain types of serving temperatures and things like that.
All those are related terms that are not necessarily the best Irish beer in Ireland.
Right? That that's that's old, SEO, new SEO is all topics related.
Second, how large is the audience opportunity.
So you take that keyword list, and you feed that into the SEO tool of your choice, and you get keyword search volumes, discard anything, that's obviously irrelevant.
But that gives you a sense of like, are 10 people a month searching for this stuff? Or that 10,000 people or 10 million people searching for this, this area of interest a month? And that, that sort of your your addressable market space for this particular type of content is really important.
Third, how well does the website map to the audience? Right? So easiest way to measure this would be search rankings, right? So if you have a keyword list, how well does this website in question rank for these top terms, right as it positioned one, some SEO tools, like our reps, which is the one I use, give you actual traffic percentages as well, which is really handy.
Because just because you rank well doesn't mean anyone actually clicks on it.
So you can use that traffic numbers and estimator, forth.
technical stuff, real simple, real lightweight.
Again, almost every SEO tool does this, what's broken, what's not working on the website, fours broken links.
And this can just be wrong numbers, but focus on the ranked pages, focus on the pages that are ranking for those key terms, so that you're not like nobody cares if the the, you know, when we were founded in our building has a lake and all that stuff.
Nobody cares about those pages.
But the pages that you rank for in content, blog, pages, anchor content, pillar content, all that stuff, those are the things that you really want to pay attention to, from a technical perspective.
That said, remember that, in modern day SEO, once you've got the basics done, there's not much else you can do on site.
In terms of technical things.
It's now all about volume and quality of content.
Number five, this is where you do your competitive assessment, how much competition is there? So for those keywords that you already pulled, you know, where the company ranks? Who are the competitors? And how do they rank, right? I have an Irish beer startup.
Game, this is probably the you know, the the market leader, which means that I've got a long tough hill to climb in order to to rank up there.
And so you need that assessment.
You need to know, all that addressable market, how much are you likely to get? If you're familiar with Sequoia capital's Tam, Samsung model? total addressable market? serviceable addressable market? service obtainable market? Right? So in this example, you're a total addressable market, everyone's searching for Irish beer, your service addressable market is in the area that you serve, right.
So if you are based in the Netherlands, then you don't need to worry about Irish beer searches in Ireland, right? And then finally, your obtainable market is, if you're in Amsterdam, and for some reason, you'll get this is the most popular, I don't know if it is or not.
What percentage of the Amsterdam search market could you conceivably rank for? So those those three divisions are very helpful? It's a good framework from Sequoia Capital.
And lastly, and this is where this is where you're making your money.
where the gaps in the competitive rankings? Where are the opportunities? Where did the competitor not do a great job of locking down certain content that you can take market share for right with your content marketing, with social with ads, all these things? And you can again, you can tell that by how well I competitor ranks for that stuff, search signals are really good proxies for how much effort accompanies putting towards any one piece of content.
Because the more you shine a light on a certain piece of content, the more links it gets, the more attention it gets the better ranks, right.
So though, if you take take one step back, you can say, Okay, these are the places where this company is not making a good investment or is not protecting, and then you and your, on behalf of your client can go after that, that unprotected space or less protected space.
So that that's the framework.
Now the question is, again, how much do you want to throw out this you can example with a conversation space, spent half a day building a machine learning model for natural language processing to really dig in and get all the granularity or if you have five minutes, you press the word cloud button and you copy and paste the top words, right? It depends on how much time you have and how and how technically capable you are.
All of these steps can go down very the rabbit hole.
And after a certain point, you do hit diminishing returns.
But I would say if you're not spending at least an hour or two on each of these steps.
That's like the new like a super lightweight territory, right five minutes to an hour is super lightweight, you get some insights, but you'll miss stuff, an hour, two hours, you're probably investing a good amount of time to really dig in, and then more than two hours.
At that point unless you're doing the actual the machine learning modeling itself.
You probably are going to start hitting diminishing returns but that's the framework I would use for this.
And good luck with it.
It's a it's a lot of fun.
There's a lot of ways to slice this onion.
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