Skip to main content

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.

Ranking well in Google and being cited by AI are two different things. This workflow finds the gap between them: queries where you’re on page one in search but absent from AI responses. Those are your highest-value content fixes — the authority is already there, the AI just isn’t picking you up yet.
Tools used in this workflow
ToolRequired?Used for
Scrunch MCPRequiredAI presence and citation data by topic
Google Search Console MCPRecommendedPulling your top search queries directly
GSC exportAlternativePaste a CSV from GSC if you don’t have the MCP connected
Choose your input method in the tabs below.

Replace the bracketed values, then paste the whole thing into Claude.
For [brand name], find the queries where we rank well in Google Search but AI engines aren't citing our content.

Step 1 — Pull search queries from Google Search Console:
Get the top 100 queries for [domain] over the last 90 days, filtered to queries with more than [50] impressions. Show me: query text, impressions, clicks, and average position.

Step 2 — Pull AI visibility data from Scrunch:
In Scrunch for [brand name], get all tags and pull presence metrics for the last 30 days. For each tag, calculate the presence rate and the citation rate to [brand domain].

Step 3 — Cross-reference and find the gaps:
Semantically match each GSC query to the most relevant Scrunch tag. Then identify the queries where:
- You have significant search impressions at position 1–10 in Google, but AI presence is under [30]%
- You're receiving search traffic but AI engines are citing competitors or third parties instead

Rank by opportunity: highest impressions × lowest AI presence rate = most urgent.

Step 4 — Summarize the priority list:
Give me a ranked list of the top [5–10] opportunities. For each: the query, search impressions, Google position, current AI presence rate, and what source AI is citing instead of us.
What you get: A ranked list of content gaps where your existing search authority isn’t translating into AI citations. These are the highest-ROI fixes — you don’t need to build authority from scratch, you need to restructure content so AI can extract and cite it.

Tips

Google ranks pages on domain authority, backlinks, and keyword optimization. AI engines cite pages based on how directly and clearly they answer a question — factual specificity, structure, and extractability matter more than authority signals. A page can rank #1 in Google and still never be cited by AI if it’s written in a promotional rather than informational style.
Don’t create new pages for queries where you already rank. Instead, use the Create Content for AI Citations workflow to restructure existing pages: add a direct answer at the top, rewrite factual sections to be more specific, and reframe headings to match how questions are asked in AI prompts. The goal is to make your existing content more extractable, not replace it.
Run it quarterly — GSC impressions shift as search trends change, and your Scrunch presence improves as you fix content. Each run will surface new gaps and let you retire ones you’ve already closed.
Add this to Step 3: “Filter to queries that indicate commercial intent — comparisons, ‘best X’, ‘how to choose X’, or branded competitor queries. Exclude navigational queries like ‘[brand] login’ or ‘[brand] pricing’.” This keeps the gap list focused on queries where AI citations actually influence buying decisions.

Create Content That Gets AI Citations

Once you have the gap list, use this workflow to restructure or create the content that fills it.

Build Your Prompt Library from SEO Keywords

Turn the queries from this analysis into Scrunch tracking prompts so you can monitor improvement over time.