While Santa takes flight...the bots ignite❤️‍🔥 - LinkedIn "Trending" Searches

Over the past year, we've obviously seen a lot of goofballs doing silly things (notice how literally every post on the "Trending" category reads the same copy...)

I'm not quite sure what they're up to, because I'm sure it's less than ethical- but very interesting to see how these major platforms take steps to fight against this to get back to true "organic" trending categories

My attention goes to the "Trending Searches" 👀

remote innovation
ai in clinical trials
real estate change
gen z at work
cubicle comeback

Okay, let's get to work!!!

Head over here: (I don't even think you need an API key?)

https://people-also-ask-generator.streamlit.app/

I don't know who this guy is, but he's a straight up Streamlit/SEO gangster...

https://www.linkedin.com/in/koen-leemans/

Pop in the most interesting search term: "ai in clinical trials" ofc.

Generate those FAQs!!

Question: How AI can be used in clinical trials?

**Improved Answer:**

Artificial Intelligence streamlines clinical trials by enhancing patient selection through precise data analysis, optimizing protocol design by predicting outcomes, and monitoring real-time data for safety and efficacy.

AI's predictive analytics can also forecast trial risks, significantly improving efficiency and reliability in clinical research processes

Now that you have the FAQs written:

Grab the Top 3 URLs and save those to your favorite spreadsheet!

This is where my super secret sauce comes in...so if you've made it this far...this is where we turn things up a notch!

I am on Day 2 of a "my family is sick during Christmas" sprint, but the last screenshot shows a preview of the output from scraping the Top 3 URLs in the PAA section of Google - What is this?

I'll let the bots explain:

is_valid_keyword(keyword): Checks if a keyword is valid by ensuring it's not a common word.

get_webpage_content(url): Fetches the content of a webpage using the provided URL.

extract_text_from_html(html_content): Extracts all text contained within paragraph tags in the

get_first_n_words(text, n=160): Returns the first n words from a given text. (Meta description)

clean_text(text): Cleans the text by converting it to lowercase, removing punctuation, and excluding stopwords.

get_high_frequency_words(text, num=15): Returns the most frequently occurring valid words in the text.

get_high_frequency_phrases(text, num=15): Returns the most frequently occurring valid phrases (2, 3, or 4 words) in the text.

get_lsi_keywords(text, num=15): Returns the top n Latent Semantic Indexing (LSI) keywords from the text.

Now for my next trick...we shall use a team of langchain agents connected to an Airtable to conduct research and generate the copy according to these writing guidelines!

In 2024, any bozo with a bucket can "generate content" but it's a lot of work to "generate **HIGH** quality content at scale" - Let's fking ride boiz! 👽

(P.S. if there's any front-end devs out there who wanna combine forces on a blog or something - hit my DMz❤️‍🔥)

0 comments