This old article has made a big comeback in Google over the last month 🚀
Here’s what was done in 2 hours of work👇
1. Ran a report in Search Console for its URL to find queries/keywords that it was ranking for but were not included in the article and added them to it ~ 30min
(Improved topical relevancy)
2. Added the “main keyword” into Google Ads Keyword Planner to find Google’s own list of topically relevant keywords (and they’re listed in order of relevance!) and added to the article which keywords it was missing from this list of the top 50 ~ 30min
Here's a counterintuitive tip for more Pinterest traffic & better Google rankings 👇
💡Pin images that link to category pages.
This can send traffic (& backlinks) to category pages & pass link juice to its articles.
🚫Wait… doesn’t Pinterest slap a “nofollow” on their links?
Nope…
Pinterest rewards sites with great images by removing the nofollow on links found on their auto-generated “10 Best Ideas and Inspiration” list pages for various topics.
So how do you get your pin featured on these coveted Pinterest pages?
I honestly have no idea other than pin eye-catching images that get lots of saves 🤷♂️
Keep pinning, and keep testing different ideas to see what gets more saves and clicks.
Once I cracked the code on SEO, I took a leap of faith and hired a full-time American to take over.
Money was tight then & I only had 3 months runway for this new SEO role. It felt risky, but necessary.
But as you can see, this risk I took worked out.
Maybe it was luck, maybe not.
This person is still with me to this day & it's free'd me up to discover new SEO insights, traffic sources, hiring more people, & using AI to grow the site to new levels.
I use "entities" in schema for Google to understand my articles' key topics which helps my rankings. My approach is that I then match each entity to a WordPress tag, so it auto populates the correct schema for each entity in the article.
Here's my exact process (with/example)👇
First: Why do this when Google's getting smarter about understanding language with its BERT and MUM / NLP AI?
Sometimes Google gets the meaning, context, and importance wrong for an article… and so do humans and AI when it comes to writing...
It’s like going to a restaurant and ordering a casserole without seeing what's in it and you're expected to figure it out by taste alone. You might guess most of the ingredients, but probably not all....