Riff Analytics vs Scrunch AI in 2026: 7-model breadth vs $250/mo category intelligence
Both monitor AI citations, but Riff Analytics casts the widest model net at $49/month while Scrunch AI maps category-wide citation patterns before tracking your brand.
Riff Analytics tracks 7 models, including Grok, DeepSeek, and Llama, while Scrunch AI tracks 5 (ChatGPT, Claude, Perplexity, Gemini, Copilot). If your audience uses the models Scrunch AI does not cover, Riff Analytics is the only option here.
Scrunch AI starts at $250/month for the Starter plan; Riff Analytics starts at $49/month. The price gap is 5x at entry, and Scrunch AI is positioned as a premium intelligence layer rather than a low-cost monitor.
Riff Analytics ships with citation source tracking, an AI readiness audit, and competitor benchmarking. Scrunch AI ships with a 1,000-prompt industry library, persona-based analysis, and page audit recommendations. Both are in-house tools with no white-label delivery.
Neither Riff Analytics nor Scrunch AI offers a public API on standard plans. If your GEO workflow depends on piping data into Looker Studio, an internal BI tool, or another reporting system, both will block you at the data delivery layer.
Scrunch AI frames GEO as category intelligence first, brand performance second. Riff Analytics frames GEO as brand mention monitoring across a wide model set. Teams with a content strategy mandate benefit more from the Scrunch AI frame; teams that need to know whether their brand is showing up across the AI landscape benefit more from Riff Analytics.
Both platforms are positioned for in-house teams. Agencies looking for white-label client views, guest access links, or per-client monitoring should look elsewhere, since neither tool supports those workflows natively.
How does Riff Analytics compare to Scrunch AI for teams monitoring brand mentions in generative engine results, and which is the better fit for Generative Engine Optimization (GEO) workflows? Riff Analytics is a self-serve monitoring tool that tracks brand mentions across 7 large language models (LLMs), including Grok, DeepSeek, and Llama, starting at $49/month. Scrunch AI is a category-level citation intelligence platform with a 1,000-prompt industry library, persona-based analysis, and page audits, priced at $250/month for the Starter tier. Both are positioned as in-house tools with no white-label delivery. Riff Analytics wins on model breadth and price. Scrunch AI wins on category framing, prompt depth, and the size of its industry baseline. The right pick depends on whether your GEO programme starts with broad mention monitoring or with mapping the citation landscape before you commit to a brand-level plan.
The tools at a glance
Riff Analytics
AI brand visibility tracking across 7 LLM engines with citation source analysis, sentiment monitoring, and competitor benchmarking
Riff Analytics monitors brand mentions across 7 large language models: ChatGPT, Perplexity, Claude, Gemini, Grok, DeepSeek, and Llama. Most AI visibility tools in this price range track between 3 and 5 models, so the breadth here is a real differentiator for brands whose audiences split across mainstream and emerging AI assistants.
Beyond mention counts, Riff Analytics logs the URLs and domains that AI engines cite when they mention your brand. That citation source view tells you whether AI models are pulling from your own content, from third-party reviews, from press coverage, or from competitor-adjacent pages, which is the starting point for any GEO content strategy. An AI readiness audit runs against your domain before monitoring starts, giving you a baseline.
The platform is positioned for in-house teams. There is no API on any plan, no white-label delivery, and no client portal, so it does not fit agencies managing multiple brands. Pricing runs $49/month on Starter and $199/month on Pro, with the Pro tier feature set not clearly documented in public materials.
| Feature | Starter $49/mo | Pro $199/mo |
|---|---|---|
| AI models tracked | 7 | 7 |
| Citation source tracking | ✓ | ✓ |
| Competitor benchmarking | ✓ | ✓ |
| AI readiness audit | ✓ | ✓ |
| API access | ✗ | ✗ |
| White-label delivery | ✗ | ✗ |
| Looker Studio connector | ✗ | ✗ |
Scrunch AI
Category-level AI citation intelligence for content strategy
Scrunch AI is a category-level citation intelligence platform. Rather than tracking where your brand appears in AI answers first, it maps which prompts are driving citations across your entire category, then shows where your brand sits in that landscape. This category-first framing is the core product difference versus Riff Analytics.
The Starter plan includes a 1,000-prompt industry library drawn from real AI query patterns in your category, which removes the need to build a prompt set from scratch. Persona-based analysis segments citation data by buyer type, and the page audit feature identifies which of your existing pages are most citation-ready. Combined, these features make Scrunch AI more useful as a content strategy input than as a pure monitoring tool.
Scrunch AI is priced for teams with budget: $250/month Starter, $417/month Growth, and custom Enterprise. The Enterprise Data API exists but is gated to custom contracts, which means client reports on standard plans is effectively zero. The platform is built for in-house teams tracking a single brand or a small set of brands, not for agencies.
| Feature | Starter $250/mo | Growth $417/mo | Enterprise Custom |
|---|---|---|---|
| User licenses | 3 | 5 | Custom |
| Custom prompts | 350 | 700 | Custom |
| Industry prompts | 1,000 | 2,500 | Custom |
| Personas | 3 | 5 | Custom |
| Page audits | 5 | 10 | Custom |
| Enterprise Data API | ✗ | ✗ | ✓ |
| SAML / OIDC security | ✗ | ✗ | ✓ |
| Dedicated GTM team | ✗ | ✗ | ✓ |
Head-to-head feature comparison
| Feature | ||
|---|---|---|
| AI engines tracked | ChatGPT, Perplexity, Claude, Gemini, Grok, DeepSeek, Llama | ChatGPT, Claude, Perplexity, Gemini, Copilot |
| Competitive share-of-voice | Yes | Yes (competitive citation share-of-voice on top of category view) |
| Prompt-level citation data | Yes (citation source URLs and domains) | Yes |
| Answer / content gap analysis | Limited (AI readiness audit only) | Yes (page audits, content recommendations) |
| Category intelligence | No | Yes (core product framing) |
| AEO content generation | No | No |
| Crawler / AI bot log access | No | No |
| Page content audits | No | Yes (5 on Starter, 10 on Growth) |
| API access | No | Enterprise Data API only (custom contract) |
| Looker Studio / BI connector | No | No |
| White-label delivery | No | No |
| Pay-per-prompt pricing | No | No |
| Agency multi-brand support | No | No |
| Starting price | $49/mo | $250/mo |
Considering AI Peekaboo alongside Riff Analytics and Scrunch AI?

Both Riff Analytics and Scrunch AI keep API access off standard plans (Riff Analytics offers no API at all, Scrunch AI gates its Data API to Enterprise contracts), and neither ships white-label delivery for client reporting. AI Peekaboo is an AI visibility platform with white-label reports, a read/write API on every plan, multi-brand agency support, and 5 AI surfaces including Google AI Overviews, from $50/month. Built for SEO agencies managing multiple client brands.
Read the AI Peekaboo review →Which should you choose?
Riff Analytics and Scrunch AI both solve parts of the GEO problem, but the framing is different. Riff Analytics answers "where does my brand appear in AI answers, and from which sources". Scrunch AI answers "what is the citation landscape in my category, and where do I fit". Teams that already have a content strategy and want monitoring data will lean Riff. Teams that want category intelligence as the input to their content strategy will lean Scrunch.
Bottom line
If your priority is model breadth and you want the cheapest entry point to AI visibility monitoring, Riff Analytics at $49/month is the practical choice. If your priority is mapping the GEO citation landscape before you build your content programme, Scrunch AI at $250/month is the better investment, with the caveat that you are paying for prompt depth rather than feature count. Both are credible. Neither solves the agency workflow problem.
Frequently asked questions
Which tracks more AI models, Riff Analytics or Scrunch AI?
Riff Analytics tracks 7 models (ChatGPT, Perplexity, Claude, Gemini, Grok, DeepSeek, Llama). Scrunch AI tracks 5 (ChatGPT, Claude, Perplexity, Gemini, Copilot). Riff Analytics wins on model breadth and is the only option here if Grok, DeepSeek, or Llama matter to your audience.
How much does Scrunch AI cost compared to Riff Analytics?
Riff Analytics starts at $49/month on Starter and $199/month on Pro. Scrunch AI starts at $250/month on Starter, $417/month on Growth, with custom Enterprise contracts above. Scrunch AI is roughly 5x the price at entry, reflecting the cost of running a 1,000-prompt industry library per billing cycle.
Do Riff Analytics or Scrunch AI offer API access?
Neither tool offers API access on standard plans. Riff Analytics has no API on any tier. Scrunch AI offers an Enterprise Data API only on custom contracts, not on Starter or Growth. If API access is a hard requirement for your GEO workflow, you will need to look at other platforms.
Which is better for category-level GEO intelligence?
Scrunch AI. The 1,000-prompt industry library and persona-based analysis are designed to give you a category-wide citation map before you commit to a brand-level plan. Riff Analytics does not offer category intelligence; it focuses on your brand mentions across a wide model set.
Can agencies use Riff Analytics or Scrunch AI for client reporting?
Neither tool supports agency workflows natively. Both are positioned for in-house teams. Neither offers white-label delivery, guest client access links, or per-client monitoring. If you are an agency managing multiple brands, both will require workarounds for client delivery.
Which tool is better for Generative Engine Optimization (GEO) content planning?
Scrunch AI is the better GEO content planning tool, because the category citation map and page audit feature give you a structured view of where content gaps exist in your category before you invest in production. Riff Analytics gives you brand monitoring data, which you would then need to interpret for content decisions.

