how to vet and validate link prospects fast 31 lin with timestamps YoutubeScribe.com

[0:00] Hey, it's Sam Oh and welcome to the third
module which is all about vetting and validating
[0:04] link prospects.
[0:05] Now, straightup, this stage is kind of boring.
[0:08] You're basically taking your huge list of
unfiltered prospects and checking them
[0:13] for a couple of things.
[0:14] In short, you want to make sure that
a) they're actually links you want;
[0:18] and b) that your link pitches will be relevant.
[0:21] Now, before we can get into tips on doing it fast,
let's get on the same page of how you do it slowly,
[0:27] step by step.
[0:28] So, when you're vetting prospects using
the methods I taught in the last module,
[0:32] there are 3 steps you can do.
[0:34] I like to look at them in levels depending
on the size of the prospect list.
[0:38] Level 1 is to narrow down your list
of prospects by SEO metrics.
[0:42] Two common metrics people often use are
Domain Rating and domain-level website traffic.
[0:48] Domain Rating basically tells us whether a
site has followed links across their domain.
[0:52] And this is important to some people
because if a website has low authority,
[0:56] then chances are, you won't get much PageRank
by getting a link from a page on their site.
[1:02] Now, DR is far from perfect because
a) it's a third-party metric;
[1:06] and b) PR flows at the page level, so I personally
don't put too much weight on this metric.
[1:12] As for total website traffic, it gives us a hint
whether the site is likely in good standing
[1:17] with Google.
[1:18] For example, it's unlikely that you'll see
a DR 90 site with 0 website traffic unless
[1:23] they've been hit by Google.
[1:25] In my opinion, it makes sense to use filter
when you're working with hundreds or potentially
[1:29] thousands of link prospects.
[1:31] And while you may filter out a handful of
decent prospects, you'll likely remove more
[1:36] low quality prospects than good ones.
[1:38] So the time savings is worth it.
[1:41] Now, trusting these metrics
alone would be a mistake.
[1:43] This leads us nicely into level 2, which
is to ensure that prospects' pages are
[1:48] relevant to the page you'll be pitching.
[1:50] Now, in this stage, you can just scan the titles
of your prospects pages which should give us
[1:55] hints into what the page is about.
[1:57] For example, if we were building links to
our SEO stats page based on the people
[2:01] linking this competing URL, you'll see from
the titles of referring pages that they're all
[2:07] pretty relevant.
[2:08] This one's on SEO interview questions and answers.
[2:11] This one's on the best digital marketing channels.
[2:14] Then there's this one on ranking on
the first page of Google and so on.
[2:18] But as you continue to go down the list,
you might question whether this one on
[2:21] the "best online shopping sites in
Singapore" is worth reaching out to.
[2:26] The page itself doesn't seem super relevant to 
me, but the domain is mediaonemarketing.com.
[2:33] So it sounds like a marketing agency to me which
is relevant to SEO and our page on SEO stats.
[2:41] So I'd personally keep it in our list at this
point, but it wouldn't exactly be a high
[2:45] priority prospect in my opinion.
[2:47] As for a page like this which is on lead gen
competitive advantages for pest control,
[2:52] I'd just exclude it.
[2:53] I'd also exclude pages in other languages
because my content would be in English
[2:58] and so would my outreach pitch.
[3:00] Alright, onto level 3, which is to validate
that your pitch angle is relevant.
[3:05] Now, because our prospecting method
revolves around finding seed prospects
[3:09] based on a linkable point, that means we
need to check each prospect's page to make
[3:13] sure they're still mentioning that point.
[3:16] For example, in our SEO stats campaign, I exported
all backlinks that mention "93" in the anchor and
[3:22] surrounding text.
[3:23] And I did this because the organic
competitor's page doesn't mention
[3:27] the stat, meaning all links pointing to the page
because of the 93% stat are now irrelevant.
[3:34] This also means, we need to validate that the
prospects still mention this stat on the page,
[3:39] because if they're not, then our personalized
email saying, "hey you're mentioning this
[3:43] 93% stat" just wouldn't make sense.
[3:47] So in this case, vetting the page would 
actually require us to visit these URLs
[3:52] and do a find on the page for "93."
[3:55] Now, while it only takes around 30 seconds
to verify that a page still mentions the stat,
[4:00] if you have 1,000 pages to inspect, then
that's 500 minutes or over 8 hours of work.
[4:06] Plus, it's a super monotonous task
that's prone to human error.
[4:10] But the good news is that you can do it
more accurately in under 5 minutes by
[4:15] using Screaming Frog's custom search feature.
[4:18] To set it up, click on Configuration, then
hover over Custom, and choose Search.
[4:25] Now, I'll name our custom search to "93%,"
make sure the condition is "Contains" and
[4:31] then type "93" in the search box.
[4:34] Now I'll choose Page Text from
the dropdown and we're all set to go.
[4:38] Now, all I have to do is run the 875
URLs in list mode and run the crawl.
[4:45] From here, you can go to the custom search
tab, choose your filter in the dropdown,
[4:50] and you'll see a list of all URLs
that match your custom search.
[4:55] So in our case, 779 URLs of the 875 that
we crawled, mention our linkable point.
[5:03] Meaning, 96 pages either didn't match the
footprint or returned a non-200 response code.
[5:10] So that saved us around 48 minutes
of precious vetting time.
[5:14] Now, it's not always possible
to vet at scale like this.
[5:17] And that usually depends on
the complexity of your linkable point.
[5:21] For example, we found some lookalike
prospects in Content Explorer by searching
[5:25] for "use lsi keywords" as our query.
[5:29] And our hope was to find pages that recommend
using so-called "LSI keywords" because again,
[5:35] they don't exist.
[5:36] Now, as for our pitch, we might try to gently
educate prospects on so-called "LSI keywords"
[5:42] and offer suggestions to update their content
with more accurate information – where our
[5:47] guide could potentially be an additional resource.
[5:50] Now, just because a page says "use LSI
keywords," it doesn't mean they're all
[5:55] recommending to use them.
[5:56] In fact, this page has the phrase, "use LSI
keywords" on it, but the context of the mention
[6:02] is "Does Google use them?"
[6:05] And in this section, they quote John
Mueller saying that they're not a thing.
[6:09] Unfortunately for complex linkable points like
this, where footprints can have various contexts,
[6:15] the only way to vet these prospects is manually.
[6:18] And I'll talk about hiring good vetters
in our last module on team building.
[6:22] Now, after you've finished your page vetting
process, you'll need to start finding the right
[6:26] people to send your email pitches to.
[6:29] And personally, I consider this
a part of the vetting process
[6:32] because there's research involved to validate
whether the prospect is a good one or not.
[6:37] So in the next lesson, I'll share my experiences
on contacting people with different titles – i.e.
[6:42] author, editor, generic emails etc, and I'll share
some stats on who the best person to contact
[6:49] with your link pitch is.
[6:50] I'll see you there.

本文档为站内渲染。原始文件本地路径：saas/source/seo-llm/raw-seo知识库-seo方法论-youtube-seo-scripts-ahrefs-scripts-how-to--be85b1.txt（仅本地保留，不入库不部署）