GEO Tasks: Kanban Board for AI Optimization

Plan and track your generative engine optimization actions with a kanban board organized by category, impact, effort, and target LLM provider.

The GEO tasks board is a kanban-style workspace for planning and tracking the actions that improve your brand’s presence in AI-generated answers. Each task represents a specific optimization action — writing a piece of content, adding schema markup, building citations, or engaging in forums. You assign an impact score and an effort score to each task so you can prioritize the work that moves the needle most efficiently.

Board columns

The board has three columns that represent the status of each task.

To do

Tasks you’ve identified but haven’t started yet.

In progress

Tasks you’re actively working on.

Done

Completed tasks you want to keep for reference.

You can move tasks between columns by dragging them or by editing the task and changing its column field.

Task categories

Every task belongs to one of four categories. The category describes the type of GEO action the task represents.

Content gap

A content gap task involves creating content for topics where your brand is missing from AI-generated answers. AI models answer questions based on what exists on the web — if there’s no content on your domain covering a topic, you won’t appear in answers about it. Use gap analysis to identify these topics, then create content gap tasks to track the work of filling them.

Schema markup

A schema markup task involves adding structured data to your pages so AI models can more easily parse and understand your content. Schema types like FAQPage, HowTo, Article, and Organization make it easier for AI systems to extract and cite accurate information from your site.

Citation building

A citation building task involves getting your domain cited on other authoritative sites — industry publications, directories, partner pages, and similar sources. AI models use citations to establish credibility. The more your domain is mentioned in trustworthy contexts, the more likely it is to be cited in AI-generated answers.

Forum presence

A forum presence task involves engaging in forums and community platforms like Reddit and Quora. These sites are scraped heavily by AI training pipelines, meaning thoughtful, well-attributed answers in the right threads can surface your brand in AI responses. Tasks in this category typically involve writing responses, asking questions, or building a presence in communities relevant to your domain.

Create a task

1. Open the GEO tasks board

   Navigate to Content in the sidebar, then select GEO tasks.

2. Add a new task

   Click New task to open the task creation form.

3. Set the title

   Write a clear, specific title that describes the action — for example, “Add FAQ schema to pricing page” or “Publish comparison article: us vs. competitor X.”

4. Choose a category

   Select the category that best fits the type of work: Content gap, Schema markup, Citation building, or Forum presence.

5. Score impact and effort

   Assign an impact score (1–5) and an effort score (1–5).

   • Impact reflects how much completing this task is expected to improve your AI visibility.
   • Effort reflects how much work is required to complete the task.

   See Prioritizing tasks below for guidance on how to use these scores.

6. Select a column

   Choose the column this task should start in — typically To do for new work you haven’t started.

7. Target LLM providers (optional)

   Tag the task with one or more LLM providers if the task is specifically aimed at improving visibility in a particular AI system. Available providers include ChatGPT, Perplexity, OpenAI, Anthropic, and Google, among others.

8. Add notes (optional)

   Use the notes field for context, research, links, or anything else your team needs to execute the task.

9. Link a prompt (optional)

   If the task is related to a specific tracking prompt, link it using the prompt field. This lets you monitor whether your visibility on that prompt changes after the task is complete.

10. Save the task

    Click Save. The task appears in the column you selected.

Prioritizing tasks

Use the impact and effort scores to decide what to work on first. The most efficient tasks are those with high impact and low effort — they deliver the most improvement for the least work.

A simple way to think about prioritization:

Priority	Impact	Effort	Action
Quick wins	High (4–5)	Low (1–2)	Do these first
Major projects	High (4–5)	High (4–5)	Plan and schedule
Fill-ins	Low (1–2)	Low (1–2)	Do when capacity allows
Avoid	Low (1–2)	High (4–5)	Deprioritize or drop

When you’re unsure about impact, use your prompt data as a signal. If a topic has a high number of impressions in AI answers but your brand doesn’t appear, content covering that topic likely has high impact.

Targeting specific LLMs

Not all optimization actions affect every AI system equally. Forum presence on Reddit, for example, has a stronger effect on models that draw from community content, while schema markup may be more relevant for Google AI Overviews. When you know a task is specifically aimed at a particular model, tag it with the relevant LLM providers.

Tagging tasks with target LLMs helps you:

• Filter the board to see work focused on a specific provider
• Distribute effort across different AI systems intentionally
• Identify gaps in your optimization strategy for a particular model

LLM provider tags are organizational — they don’t change how Rankahead generates or publishes content. They’re a way for your team to stay aligned on which tasks target which AI systems.

Move tasks between columns

Move a task to reflect its current status:

• Drag and drop — grab the task card and drop it into a different column on the board
• Edit the task — open the task, change the Column field, and save

Keep the board up to date so your team has an accurate picture of what’s in flight and what’s finished.

Link a task to a prompt

Linking a task to a tracking prompt lets you correlate your optimization work with changes in AI visibility. After you complete the task, monitor the linked prompt’s results over the following weeks to see whether your brand’s presence in AI answers improved.

To link a prompt, open the task and select from the Prompt dropdown. Any prompt you’ve created for the selected domain is available to link.

Create a habit of reviewing linked prompt data 2–4 weeks after marking a task as done. This gives AI models time to index and incorporate any new content or signals from your work.