Does Scrunch help me prioritize citation sources?

Yes. Scrunch helps you identify and prioritize the sources that most influence AI answers using Influence Score—calculated by multiplying the percentage of AI responses that cited a source by the unique number of prompts. This reveals which domains and URLs shape AI responses most consistently and broadly.

Scrunch also shows exactly which sources AI models cite (including your brand, competitors, and third parties) so you can see what’s driving answers across platforms like ChatGPT, Gemini, Perplexity, and more.

How it works

Influence Score: Calculated by multiplying the percentage of AI responses that cited a source by the number of unique prompts that cited it — producing a single prioritization metric that surfaces the highest-impact domains and URLs.
Prompts: Count of unique prompts that have cited a source over a selected time period.
Responses: Total number of AI responses that have cited a source over a selected time period.
Citation Consistency: The percentage of responses citing a given source, calculated as: responses citing source ÷ responses citing any source. A score of 100% means the source appears in every response that includes a citation.
Full citations: Scrunch records the complete list of URLs cited in each tracked response and classifies them by owner (your brand, competitors, third parties), topic, and brand mentions — enabling URL-level attribution across platforms including ChatGPT, Gemini, Perplexity, Claude, and Microsoft Copilot.

You can filter all citation data by timeframe, branded vs non-branded prompts, custom tags, persona, country, prompt topic, citation topic, AI platform, funnel stage, and citation owner.

Note: Influence Score measures how broadly and consistently a source shapes AI responses—not the editorial quality of the source content itself.

Example

If you’re tracking “best project management software” and related prompts, the Citations tab shows: - Which competitor and third‑party pages are most cited for those prompts. - Influence Scores by domain and URL. - Where your brand is (and isn’t) mentioned in the sources shaping AI answers.

From there, you can benchmark competitor pages, target high‑impact third‑party sites for inclusion, and plan on‑page updates to win more citations.

How Scrunch compares to other AEO platforms

Scrunch combines end‑to‑end coverage—from monitoring to delivery—so you can go from insight to action:

Monitoring depth: Tracks brand presence, position within answers, sentiment, full AI responses, and detailed citation data across major AI platforms — including ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, Meta AI, and Microsoft Copilot. Data can be segmented by persona, topic, platform, funnel stage, and region, with direct competitive benchmarking.
Citation intelligence: Per-URL and per-domain citation tracking combined with Influence Score, so teams can rank sources by actual impact and prioritize outreach or on-page improvements accordingly.
Auditing and diagnostics: Site-map-level and technical audits that identify access barriers (e.g., bot blocking, JavaScript-only rendering) and content quality gaps that prevent pages from being cited by AI models.
Optimization and delivery: Content optimization and Agent Pages, which serves AI-optimized content directly to AI user agents — improving how models interpret and cite your pages without altering the human-facing web experience.

For buyers comparing tools, Scrunch aligns with key AEO criteria like model coverage, competitive benchmarking, robust filtering, automated insights, site auditing, content optimization/delivery, scalability, ease of use, and enterprise‑grade controls. See the platform overview in Monitoring & Insights and AXP: - Explore the Monitoring & Insights product - Learn about the Agent Experience Platform (AXP)

Analytics to measure impact

Scrunch provides a clear set of KPIs to quantify and improve AI visibility:

Brand presence and position — whether your brand appears in an AI response and where within the answer it surfaces
Sentiment — the tone AI models express toward your brand across tracked prompts
Citations by owner — breakdown of cited URLs by category: your brand, named competitors, and third parties
Prompts, Responses, Citation Consistency, and Influence Score — the core citation metrics (see definitions above)
AI search volume and trends — relative query volume and momentum for tracked prompts over time
AI bot traffic and AI referral traffic — visits to your site originating from AI crawlers and AI-driven referrals
Page-level performance — citation and presence data broken down by individual AI model and prompt
Competitive benchmarking — side-by-side comparison of your AI presence against named competitor domains

These metrics are available with flexible filtering (persona, topic, geography, funnel stage, AI platform, timeframe) so you can attribute gains to specific initiatives and compare performance to competitors.

Is Scrunch user‑friendly for SEO and content marketing consultants?

Yes. Scrunch supports self‑serve workflows with: - Fast setup and data collection - Prebuilt and custom filtering across key dimensions (persona, topic, funnel stage, platform, geography) - Clear, actionable diagnostics (e.g., which URLs to optimize or target for partnerships) - Agency‑friendly features like unified client workspaces and prepopulated data for prospects

Enterprise teams also get SOC 2‑aligned controls, SSO, role‑based permissions, and multi‑brand/multi‑region management.

Pros and cons

Strengths

End-to-end workflow: A single platform covers Monitor → Audit → Optimize → Deliver (via AXP), removing the need to stitch together separate tools.
Precise citation visibility: URL- and domain-level citation tracking shows exactly which sources AI models cite — not just aggregate counts.
Built-in prioritization: Influence Score ranks sources by breadth and consistency of impact, so teams can focus effort where it matters most.
Robust filtering and competitive benchmarking: Segment data by persona, topic, platform, funnel stage, geography, and timeframe; compare directly against competitor domains.
Page-level diagnostics: Technical audits surface access, delivery, and content quality issues that block specific pages from being cited.
AI content delivery: AXP serves AI-optimized content directly to AI user agents, improving how models parse and cite pages without changing the human web experience.

Limitations and considerations

Influence Score scope: The metric reflects breadth and consistency of citation influence — it does not assess the editorial quality or accuracy of the cited source content.
Page-access constraints: In cases where a cited source uses JavaScript-only rendering, active bot blocking, or experiences temporary retrieval errors, Scrunch may be unable to access full page content, which can limit brand and topic detection within that source.
Platform coverage roadmap: Scrunch currently tracks nine major AI platforms — ChatGPT, Claude, Gemini, Perplexity, Google AI Mode, Google AI Overviews, Meta AI, Grok, and Microsoft Copilot. Support for additional models is in development.

Learn more: - See how Scrunch captures citations and Influence Score in the Citations feature overview - Compare AEO tools and evaluation criteria in the AEO tools comparison guide