JELLO SEO BLOG

How I Find Blog Article Ideas 10x Faster Using AI

Stop clicking through endless tabs in your SEO tool. Let AI analyze what's working and surface opportunities in one conversation.

4 min read
By Grant Singletonkeyword researchAI workflowcontent strategy
How I Find Blog Article Ideas 10x Faster Using AI
Watch me find blog opportunities in 2 minutes

The old way of finding blog ideas felt like detective work:

  • Open your SEO tool
  • Look at your organic keywords
  • Click into competitors
  • Export their top pages
  • Filter by volume
  • Filter by difficulty
  • Cross-reference with what you have not written yet
  • Repeat until something clicks

It works, but it is slow. And if you are being honest, you probably bail halfway through and just write about whatever feels right.

The insight: Your domain already tells you what will work

Most keyword research starts from scratch. You pick a topic, brainstorm seed keywords, and hope something sticks.

But if you already have traffic, you are sitting on a pattern library. Your domain has already proven what kinds of content it can rank for. The question is not "what should I write about?" It is:

"What else looks like the things that are already working?"

That shift changes everything.

Instead of hunting for ideas in the abstract, you are asking the search landscape:

Show me more opportunities that match the profile of my wins.

Let AI do the tab-switching for you

In the video above, I ask Jello SEO to:

  1. Look at the top articles Pango Books already ranks for
  2. Find completely new blog opportunities based on that pattern
  3. Rank them by volume and difficulty

I do not touch a filter. I do not export a CSV. I just describe what I want, and the AI orchestrates the research in real time:

  • Pulls the domain's ranked keywords
  • Analyzes the domain rank overview
  • Finds content gaps in the same category
  • Sorts by winnability

The result: A shortlist of ideas like "Jack Carr books in order" (14.8k volume, difficulty 2) that I never would have found manually—because I would have stopped after the third tab.

Why this feels different from traditional keyword tools

Traditional tools are built around exploration. You type something in, you get results, you refine, you repeat. It is powerful, but it assumes you know what you are looking for.

AI tools like Jello flip that. They are built around instruction. You describe the outcome you want, and the tool figures out the path.

In practice, that means:

  • Less guessing. You do not need to know which competitor to check or which filter to apply first.
  • More context. The AI already understands your domain's strengths and can extrapolate from there.
  • Built-in prioritization. You can ask for the ideas sorted by opportunity, not just listed alphabetically.

You still get the same data. But you spend your time evaluating ideas instead of hunting for them.

What this looks like in your workflow

Here is how I use this in practice:

For a new site with no traffic yet

I run a B2B time tracking tool for agencies. Find me blog opportunities
that target agency owners who are frustrated with time tracking but are not
ready to buy software yet. Sort by easiest to rank for.

For an established site looking to expand

Look at the blog posts we already rank for on example.com. Find 10 more
opportunities in the same style that we have not covered yet. Prioritize high
volume, low competition.

For competitive analysis on a deadline

competitor.com ranks well in our space. What are they ranking for that we are not?
Show me the top 5 gaps where we could realistically compete.

Each of these would take 20–30 minutes in a traditional tool. In Jello, they take 2 minutes.

The real unlock: Asking better questions

The hard part of keyword research is not finding keywords. It is knowing which question to ask.

  • Should I look at competitors or my own site first?
  • Should I prioritize difficulty or volume?
  • Should I target top-of-funnel or bottom-of-funnel keywords?

When you are staring at a blank dashboard, those questions feel paralyzing.

When you can just ask the AI to "show me what is working and find me more of that," the barrier drops. You spend less time planning the research and more time acting on it.

The part that still requires judgment

AI can surface opportunities. It cannot tell you:

  • Whether the topic fits your brand voice
  • Whether you have the expertise to write it well
  • Whether it aligns with your product or positioning

You still need to look at the list and say, "Yes, that one. Not that one."

But that is a much better problem to have than staring at an empty content calendar.

Try it yourself

If you are tired of the tab-switching workflow, try this:

  1. Go to Jello SEO
  2. Describe your site and what you are looking for
  3. Let it pull keywords, analyze competitors, and prioritize opportunities

You will either find something worth writing in the first 5 minutes, or you will realize your domain needs more foundational work before chasing new keywords. Either way, you will know faster than you would have otherwise.

And if you are anything like me, you will never go back to the old workflow.