Most teams do keyword research and walk away with a list of words to include. That is the output they were trained to expect. Volume, difficulty, ranking opportunity. A spreadsheet with colour codes.
What Ubersuggest and NotebookLM reveal is something different. They show you what your audience is actually trying to figure out. That distinction matters more than any ranking formula.
What this post covers: How to use Ubersuggest’s question-format searches and NotebookLM’s gap analysis together to find the exact moments your audience needs content, not just the topics they search. For founders, content leads, and Creative Directors who want content that actually ranks.
Table of Contents
| 1. Why Keyword Lists Are Not Enough | 4. From Topics to Moments |
| 2. What Ubersuggest Actually Shows You | 5. The Workflow Step by Step |
| 3. How I Use NotebookLM to Find Gaps | 6. Key Takeaways |
Why Keyword Lists Are Not Enough
Standard keyword research gives you what people searched. It does not tell you why they searched or what answer they needed.
A list of keywords like “brand identity,” “brand guidelines,” and “logo design” tells you what your industry talks about. It does not tell you what your buyer is confused about at 11pm before a pitch call.
Most content strategies are built on the first type of data. They produce content that covers topics. Generic, thorough, and invisible to the specific person who needed a specific answer.
According to a 2024 BrightEdge Content Performance Report, 68% of online experiences begin with a search engine, but only 8% of content published by brands earns meaningful organic traffic. The gap is not production volume. It is precision.
The brands filling that gap are not using better keywords. They are asking a better question before they start writing.
What Ubersuggest Actually Shows You
Ubersuggest is most often used to check search volume and keyword difficulty. Those numbers matter. But the most underused feature in the tool is the question-format search filter.
When you enter a keyword in Ubersuggest and filter by question format, you stop seeing “brand identity” as a data point. You start seeing:
- “Why does my brand identity not convert”
- “How to explain brand strategy to a client who doesn’t get it”
- “What to do when your logo looks too generic”
- “How long does a brand identity project actually take”
These are not keywords. They are exact sentences people typed into Google when they were frustrated, confused, or mid-decision.
That frustration is the content brief.
A post that answers “how to explain brand strategy to a client who doesn’t get it” will rank for a specific, high-intent reader. That reader is a designer or strategist preparing for a difficult client conversation. They need the answer now. If your post answers it clearly, they will read it, share it, and remember where it came from.
That is a moment. Not a topic.
How I Use NotebookLM to Find Gaps
NotebookLM is Google’s AI research assistant. It lets you upload documents and have a structured conversation with them.
Most people use it for summarising. I use it for interrogation.
Here is what I upload:
- Two or three competitor articles on the topic I am about to cover
- Any relevant research paper or industry report
- My own older blog posts on connected subjects
Then I ask it specific questions:
- What question does every article in this set raise but never fully answer?
- What assumption do all of these articles share that no one has questioned?
- What does someone reading these articles still not know after finishing them?
- What is the most specific sub-topic that gets mentioned but never explored?
The answers to these questions are your content angles.
Every market has a consensus view. The content that ranks is the content that addresses what the consensus leaves out. NotebookLM finds those gaps faster than any manual reading process.
From Topics to Moments
When you combine both tools, something specific happens to how you brief content.
You stop asking: “What should we write about this month?”
You start asking: “Who is sitting at their desk right now, frustrated about something specific, and what are they typing into Google?”
That is the shift from topic-based content to moment-based content.
A topic post answers: “Here is everything about brand identity.”
A moment post answers: “Here is why your brand identity is not doing what you expected, and here is what to change.”
Same subject. Completely different value to the reader. And completely different performance in search.
Ahrefs’ 2024 blogging research found that the top-performing blog posts had a median word count of 1,447 words, but the variable that mattered most was search intent match. Posts that matched the specific intent of the query outperformed longer posts that covered the topic broadly.
Moment-based content matches intent by definition. It is built from the exact sentence someone typed.
The Workflow Step by Step
This is the exact process I run before briefing any piece of content.
Step 1. Open Ubersuggest and enter your primary keyword.
Filter the results by questions. Ignore volume for a moment. Read the question formats that appear. Look for the ones that carry frustration, confusion, or a decision being made. These are your content moments.
Write down the three to five that feel most specific and most urgent.
Step 2. Choose one moment and research the existing content.
Search for that question in Google. Open the top three to five results. These go into NotebookLM as your source documents.
Step 3. Run the gap analysis in NotebookLM.
Ask the four questions listed above. Take notes on the gaps and assumptions you find.
Step 4. Write the brief.
Your brief now has: the exact search moment, the specific reader in that moment, what existing content says, and what existing content leaves out. That is more than most agencies put into a content brief.
Step 5. Write to close the gap.
Your post should open by naming the moment directly. The reader should feel seen in the first paragraph. Then it delivers what the existing content does not.
The entire process takes 30 to 45 minutes. It replaces hours of unfocused drafting.
Key Takeaways
- Question-format searches are the most underused feature in Ubersuggest. They show you what your audience types when they are frustrated, not when they are browsing.
- NotebookLM is a gap-finding tool, not just a summariser. Ask it what every article leaves unanswered, not what they say.
- Content built for moments outperforms content built for topics. Moments have specific intent. Topics have audiences.
- The brief is the work. Once you know the moment, the gap, and the reader, writing the post is the simpler part.
- Run this workflow before you brief your next article. Not after you have a topic. Before.
Frequently Asked Questions
What is the difference between keyword research and audience research?
Keyword research gives you a list of terms people search. Audience research tells you why they searched, what they are frustrated about, and what answer they actually need. Question-format searches in tools like Ubersuggest are the bridge between the two.
How do you use NotebookLM for content research?
Upload competitor articles, research papers, or your own old content into NotebookLM. Then ask it to find the gaps: what questions does every article raise but never fully answer? What topics does everyone cover at the surface but no one goes deep on? Those gaps become your content angles.
What are question-format searches in Ubersuggest?
Question-format searches are the natural language queries people type into Google when they are confused or frustrated. Instead of "brand identity," someone types "why does my brand identity not convert." These are exact content briefs hiding in keyword data.
What does it mean to write for moments instead of topics?
Writing for topics means producing content about a broad subject. Writing for moments means targeting a specific situation a specific person is in: confused, stuck, mid-decision, or researching before a purchase. Moment-based content ranks better because it matches search intent exactly.
Can this workflow work for a solo founder without an SEO team?
Yes. Ubersuggest has a free tier that shows question-format searches. NotebookLM is free. The workflow requires no team, no budget, and no SEO background. It takes about 30 to 45 minutes to run and produces a brief that most agency content teams would charge significantly for.
Take This Further
If you want the full step-by-step breakdown of this workflow in one place, including both tools laid out side by side with direct links, I have put it together as a dedicated resource in the vault.
The Keyword Research with Ubersuggest + NotebookLM guide walks through the exact five-step process with a visual workflow, the four gap-analysis questions to use in NotebookLM, and a direct link to both tools. It is built to be a quick reference you can return to every time you sit down to brief a new piece of content.
Harshal Saraf is a Creative Director and AI Strategist based in Indore, India. He builds brand identities and orchestrates AI workflows for founders, agencies, and businesses. With over 12 years in creative direction, his work has spanned hospitality brands across Hilton, Marriott, and Accor Group. He publishes Oh So AI, delivered every Tuesday and Friday and workflows for creatives and founders. Follow his work at byharshal.com or connect on LinkedIn.
