Finding What to Write

:::summarybox learn The different types of content opportunities How Trakkr surfaces ideas from your visibility data How to decide what to create first

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Most content teams have the opposite of writer's block. The whiteboard is full, the backlog is long, and the calendar is already booked out a quarter. What's missing isn't ideas; it's a way to tell which of those ideas would actually move your AI visibility, and which would just add another post to the pile.

You could ship a hundred articles this year and end the year with the same visibility score you started with, if you wrote them about the wrong things. The point of this page is to make sure you don't.

The Ideas section exists to solve this. It analyzes your visibility data and tells you: Here's where you have gaps. Here's what content would fill them.

The three types of opportunities

When you open Ideas, you'll see content opportunities organized by type. Understanding these types helps you make better decisions about what to create.

Prompt gaps

These are the most direct opportunities. You're tracking prompts - questions people ask AI - and some of them return results that don't mention you at all. That's a prompt gap.

Example: You're a project management tool. You track the prompt "What's the best tool for managing remote teams?" Claude responds with a detailed answer mentioning Asana, Monday, and Notion. You're not mentioned.

That's a gap. And it's specific: you know exactly which question you need to answer. Content that directly addresses "project management for remote teams" - especially content that demonstrates your unique value there - could close this gap.

Citation gaps

These are more subtle. AI models learn from sources across the web. When they cite sources for a topic - "According to Gartner..." or "A Forbes analysis found..." - those are citation sources.

Citation gaps are topics where high-authority sources cite your competitors but not you. If Forbes has written about your competitors' approach to X, but never yours, that's a gap in third-party coverage.

Why it matters: AI models weight authoritative sources heavily. If the major voices in your industry aren't talking about you, AI has less to work with.

What to do: Citation gaps are harder to close directly. You can't force Forbes to write about you. But you can:

Create content worth citing (original research, unique data)
Build relationships with industry analysts
Generate newsworthy initiatives

Think of citation gaps as indicators of where you need broader visibility efforts, not just content.

Rising topics

Some questions are asked more frequently over time. These are emerging trends - topics that AI models will increasingly need to answer.

Example: "How do I use AI to improve customer support?" was rare two years ago. Now it's common. Brands that created authoritative content early are now being cited whenever this comes up.

Rising topics are about getting ahead. Create definitive content on emerging questions before your competitors do, and you establish the authority position.

The Ideas interface

When you visit Create Content in Trakkr, the Ideas tab shows opportunities surfaced from your data:

The hero section

At the top, you'll see your best opportunities - the ideas with the highest potential impact. These are calculated based on:

How many tracked prompts they address
The current visibility gap (bigger gap = more opportunity)
Whether competitors are being cited (if they are, you should be too)
The relevance to your brand's expertise

Prompt-based ideas

Below the hero, you'll see ideas derived from your tracked prompts. These show:

The query or topic
A recommended template (how to structure the content)
How many citations exist for this topic
Your current position (if any)

Citation-based ideas

If you have citations enabled, you'll see opportunities based on what AI is actually discussing. These come from real queries where your brand or competitors were mentioned.

How to evaluate an idea

Not every idea deserves your attention. Here's how to think about prioritization:

Does it align with your expertise?

AI visibility isn't about gaming the system. If an idea is about a topic where you genuinely have expertise and unique value to offer, pursue it. If it's adjacent to what you do but not core, be skeptical.

Example: If you're a CRM company, "best CRM for small business" is core to your expertise. "Best accounting software" is not - even if you integrate with accounting tools. AI will eventually detect authority mismatches.

Do you have something unique to say?

This is critical. If your content would just be a rehash of what's already out there, don't bother. AI has already learned from those sources.

Ask yourself:

Do we have original data on this topic?
Can we provide expert perspective no one else has?
Is there a contrarian or unique angle we genuinely believe?

If the answer is no to all of these, either develop unique assets first (see Knowledge), or skip the idea.

How much effort vs. impact?

Some ideas are quick wins - a single well-structured article could address them. Others require deep research, multiple pieces, or ongoing content.

Be realistic about your resources. A high-impact idea you'll never execute is worth less than a medium-impact idea you can publish next week.

From idea to action

When you decide to pursue an idea, you have a few options:

Create a single article

Click the idea and choose "Create Article." This takes you into the content creation flow where you can:

Choose a template that fits the topic
Let AI draft based on the idea context
Add your knowledge and unique perspective
Generate and refine

Good for: Testing the waters, one-off topics, quick wins.

Create a campaign

If an idea represents a whole category of questions - like "best [your product] for [use case]" - you might want to create multiple articles systematically.

Campaigns let you:

Generate several related articles at once
Maintain consistency across the set
Cover a topic comprehensively

Good for: Addressing broad prompt gaps, building topic clusters, systematic visibility efforts.

Dismiss or save for later

Not every idea needs action now. You can:

Dismiss ideas that aren't relevant (they won't resurface)
Save ideas for later consideration
Let ideas sit - they'll update as your visibility data changes

When ideas refresh

The Ideas section isn't static. Opportunities change as:

You run new research (new visibility data)
You publish content (some gaps may close)
AI models update (new responses, new citations)
You add new prompts (new gaps to discover)

Check back regularly. What wasn't an opportunity last month might be one now.

Common mistakes

Chasing every idea

More content isn't better. Three excellent pieces that establish authority will outperform thirty mediocre ones. Be selective.

Ignoring effort requirements

Some ideas require significant expertise, research, or assets you don't have. It's better to build those assets first (see Knowledge) than to create thin content that won't get cited.

Focusing only on gaps

Gap closure is important, but don't ignore strengthening areas where you already perform well. Reinforcing existing authority can be as valuable as addressing new gaps.

Ready to create?

Once you've identified an idea worth pursuing, the next step is making sure you have something unique to say.