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Documentation Index

Fetch the complete documentation index at: https://developers.scrunch.com/llms.txt

Use this file to discover all available pages before exploring further.

These prompts produce complete, structured reports — not raw data. Each one is designed to go directly into a client presentation, stakeholder update, or call prep doc with minimal editing.
A complete month-in-review, structured for sharing with clients or leadership.
For [brand name], build a monthly AI visibility digest.

Pull:
1. Total tracked variants — count
2. brand_present = true — count → calculate overall visibility rate
3. brand_present = true by platform — count per platform
4. brand_present = false sorted by observation_count, top 10 — the month's biggest gaps
5. Competitor presence counts for top 3 competitors
6. Tags with lowest visibility rate — top 5 gap tags

Organize into this structure:
- Visibility Score: [X]% overall, with platform breakdown
- Top Performing Areas: where brand presence is strongest
- Priority Gaps: top 10 missing prompts by observation volume
- Competitive Snapshot: competitor presence rates
- Recommended Actions: 3 specific items for the next 30 days
The starting-point snapshot for a new brand — configuration health, current visibility, and first priorities.
I'm establishing a baseline for [brand name] in Scrunch. Run the following:

1. List all competitors — count and names
2. Get all tags — count and names
3. Total tracked variants — count
4. brand_present = true — count → overall visibility rate
5. branded = true, brand_present = false — count → branded query gaps (should be near zero)
6. brand_present = false, top 5 by observation_count — the most critical current gaps

Deliver as a baseline report with:
- Configuration Health: are the right competitors and tags set up?
- Current Visibility Rate: overall and by platform
- Immediate Gaps: branded queries where [brand name] isn't appearing
- Top 5 Priorities for the first 90 days
Five talking points before a client or stakeholder call — just the numbers that matter, nothing else.
I have a call with [brand name] in [X] minutes. Give me a quick brief.

Pull:
1. Overall visibility rate (brand_present = true / total)
2. Best platform and worst platform by visibility rate
3. Top 3 prompts by observation count where brand_present = false — the headline gaps
4. Any branded queries where brand_present = false — urgent issues to flag

Give me 5 key talking points I can use in the call. One sentence each, lead with the number. Keep it tight — I need something I can scan in 2 minutes.
Full QBR structure: performance, competitive position, content gaps, and next quarter’s focus.
For [brand name], build a quarterly business review summary for AI visibility.

Pull and analyze:
1. Overall visibility rate vs. benchmark (brand_present=true rate vs. total)
2. Platform breakdown — visibility rate per LLM
3. Top 5 tags by visibility rate (strengths)
4. Bottom 5 tags by visibility rate (gaps)
5. Competitive displacement — for each tracked competitor, how many prompts do they appear in where [brand name] does not?
6. Top 3 citation domains (brand's own domain + top 2 competitor domains)

Structure as: Performance Summary → Competitive Position → Content Gaps → Recommended Next Quarter Focus

Monthly Client Report, Built Automatically

Full workflow: Claude pulls all the data, writes the report, and saves it to Notion.

Weekly AI Brief → Notion & Slack

Keep stakeholders updated between monthly reports with an automated weekly brief.