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Your SEO keyword research already tells you what buyers search for. This workflow maps those keywords against your current Scrunch prompt coverage, finds the gaps, converts them into natural-language AI queries, and adds them to Scrunch — so your AI visibility tracking matches your SEO strategy.
Tools used in this workflow
ToolRequired?Used for
Scrunch MCPRequiredListing existing prompts, creating new ones
Keyword dataRequiredPaste from any source — see input options below
Google Search Console MCPOptionalPull queries directly without exporting
Ahrefs / SEMrush / Keyword toolOptionalPaste a CSV export into the prompt

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Keyword input options

You don’t need a specific tool connected. Claude can work with keyword data in any of these forms:
Copy your keywords from any tool (Ahrefs, SEMrush, Keyword Planner, Clearscope, etc.) and paste them directly into the prompt in Step 2.
Here are the keywords to analyze:
best project management software
project management tools for remote teams
asana vs monday.com
how to manage remote team tasks
...

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The workflow

1

Pull existing prompt coverage from Scrunch

List all active prompt variants for [brand name] in Scrunch. I want to see the full seed prompt text for each one so I can map it against keyword data.
2

Run the gap analysis

Here is a list of SEO keywords and questions we're targeting for [brand name]:

[paste your keyword list here]

Compare these against the Scrunch prompts you just pulled. Classify each keyword into one of three buckets:

1. Already covered — there's an existing Scrunch prompt that tracks this topic or a close equivalent
2. Partially covered — we're tracking the general topic but missing this specific angle or intent
3. Not covered — no existing prompt comes close to this keyword

Show me the "partially covered" and "not covered" keywords — those are the gaps.
3

Cluster the gaps and generate prompts

Take the gap keywords from the previous step and:

1. Group them into topic clusters — keywords that are semantically related and could be addressed by similar content
2. For each cluster, write 2–4 natural-language questions that a user would actually type into an AI assistant to get information on this topic. These should sound like real questions, not keyword strings.
3. For each prompt, note whether the intent is awareness (general research), consideration (comparing options), or decision (ready to choose)

Show me the clusters and proposed prompts before creating anything — I want to review them first.
4

Create the approved prompts in Scrunch

Once you’ve reviewed the proposed prompts:
Create the following new prompts for [brand name] in Scrunch. Tag each with its funnel stage (awareness / consideration / decision) and also add the tag "[seo-import]" so I can track this batch separately.

[list the prompts you approved in the previous step]
5

Confirm and check coverage

List all prompts for [brand name] tagged "[seo-import]" to confirm they were created correctly. How many prompts did we add? What's the breakdown by funnel stage?

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Tips

Claude handles up to a few hundred keywords in a single prompt well. For larger keyword sets (1,000+), run the analysis in batches by topic cluster or funnel stage — it produces cleaner output and avoids truncation.
After the clustering step, ask: “Rank these gap clusters by commercial relevance for [brand name] — which topics represent the highest-value buyers if we appear in AI responses for them?” This focuses your new prompts on business impact, not just coverage volume.
SEO keyword priorities shift. Run this workflow every quarter with a fresh export. Use the [seo-import-q[quarter]-[year]] tag convention so you can track each batch’s performance separately and see which keyword-sourced prompts improve your visibility over time.
SEO keywords are often short (“project management software”) while effective AI prompts are full questions (“What’s the best project management software for a team of 20?”). Claude handles this conversion in Step 3, but you can adjust the output by adding: “Make the prompts more specific — include use-case context, team size, or industry where it makes the question more realistic.”

Create Content That Gets AI Citations

Once you’ve added the prompts, use this workflow to create the content that fills those gaps.

Find Visibility Gaps Worth Fixing

Find gaps from the Scrunch data side — which prompt categories already have the lowest visibility.