Riff Analytics Review
AI brand visibility tracking across 7 LLM engines with citation source analysis, sentiment monitoring, and competitor benchmarking
Riff Analytics tracks brand mentions across a wider set of AI engines than most competitors, including Grok and DeepSeek on top of the main five. The monitoring and citation analysis features are solid. The absence of an API and white-label delivery makes it a poor fit for agencies, but in-house teams who simply need to know where their brand shows up in AI answers will find it functional at $49/month.
Pros and cons
- Tracks 7 AI models including Grok, DeepSeek, and Llama alongside ChatGPT, Perplexity, Claude, and Gemini
- Citation source tracking shows which URLs and domains AI engines pull from when mentioning your brand
- Competitor benchmarking for share-of-voice across the same prompt set
- AI readiness audit to identify gaps before monitoring begins
- Clean, self-serve onboarding with no sales call required
- No API access on any plan, limiting integration with existing reporting stacks
- No white-label delivery or client guest views, making it unsuitable for agency use
- The Pro plan at $199/month is a significant step up from Starter without clear tier differentiation in public documentation
- No Looker Studio connector or BI export options
- Newer platform with a shorter track record than Profound or Scrunch AI
What is Riff Analytics?
Riff Analytics is an AI brand visibility monitoring platform that tracks where your brand is mentioned across seven major AI engines: ChatGPT, Perplexity, Claude, Gemini, Grok, DeepSeek, and Llama. Unlike tools that focus on a narrower set of models, Riff Analytics casts a wide net, which is useful for brands that want visibility across the full landscape of AI assistants rather than just the top two or three.
The platform monitors not just whether your brand appears in AI answers, but which sources those AI engines are citing when they mention you. This citation source tracking tells you whether AI engines are pulling from your own content, third-party reviews, press coverage, or competitor domains, which informs where to invest in content and PR to improve AI visibility over time.
Riff Analytics is positioned as a self-serve in-house tool. There is no API, no white-label delivery, and no client portal, so it is not designed for agencies managing multiple brands. The $49/month Starter plan is accessible for small teams, though the jump to $199/month Pro is steep for what is publicly documented as the next tier.
Core features
Brand mention tracking across 7 AI engines
Riff Analytics monitors brand mentions across ChatGPT, Perplexity, Claude, Gemini, Grok, DeepSeek, and Llama. This is one of the widest model coverages in the AI visibility space. Most competitors track between three and five models. The breadth matters for brands whose audiences use a diverse mix of AI assistants, particularly in markets where Grok or DeepSeek have significant share.
Citation source tracking
When an AI engine mentions your brand, Riff Analytics records which URLs and domains the engine cited as sources. This tells you whether AI models are pulling from your blog, your Wikipedia page, review sites like G2 or Capterra, or competitor-adjacent content. Understanding the citation pattern is the starting point for an AEO content strategy, because it reveals which content types and domains carry the most weight with each AI engine.
AI readiness audit
Before setting up ongoing monitoring, Riff Analytics runs an AI readiness audit against your domain. This checks whether your site structure, content, and entity signals are set up in a way that AI engines can discover and cite you accurately. It is a useful first step for brands that are new to AI visibility and want a baseline before tracking changes over time.
Mention trend monitoring
The platform tracks how the frequency and sentiment of your brand mentions change over time. You can see whether a content push or PR campaign translated into more AI citations, and whether sentiment in those mentions shifted. This trend view is more useful than single-point snapshots because AI citation patterns move slowly enough that weekly trends reveal more than daily noise.
Competitor benchmarking
Riff Analytics tracks competitors across the same prompt set, giving you share-of-voice data: what percentage of AI answers that mention any brand in your category mention yours. You can see whether competitors are gaining or losing citation share as AI engines update their models and training data, and use that to inform where to focus content and backlink efforts.
Pricing
| 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 | ✗ | ✗ |
Who it is for
You need to know whether your brand is appearing in AI answers and which sources AI engines are citing. You do not need to share this data with clients or pull it into a BI tool. Riff Analytics gives you clean monitoring across 7 models at $49/month without requiring a sales call.
You want to understand which content types and external domains are driving AI citations for your brand, so you can replicate what is working and fill gaps. The citation source tracking is the most useful feature for this workflow.
You are tracking how your brand and competitors appear in AI-generated answers as part of a broader intelligence function. The competitor benchmarking and mention trend data give you the signals you need without requiring you to build a custom monitoring setup.
Verdict
Riff Analytics offers the widest AI engine coverage in its price range and does citation source tracking well. The lack of API access and white-label delivery rules it out for agencies, but in-house teams that need broad model coverage and citation intelligence will find it competent at $49/month. The main risk is the price jump to $199/month Pro, which is hard to evaluate without clearer tier documentation.
Frequently asked questions
Does Riff Analytics offer a free trial?
Riff Analytics does not publicly advertise a permanent free tier. Check their website for current trial availability before committing to the Starter plan.
Which AI models does Riff Analytics track?
Riff Analytics tracks ChatGPT, Perplexity, Claude, Gemini, Grok, DeepSeek, and Llama. This is broader coverage than most competitors, which typically focus on three to five models.
Can I use Riff Analytics for client reporting?
Riff Analytics does not offer white-label delivery, guest access links, or a client portal. It is designed for in-house use. If you need to deliver AI visibility reports to clients under your own branding, look at AI Peekaboo instead.
Does Riff Analytics have an API?
No. There is no API on any plan. Data cannot be exported to external tools programmatically. If API access or BI connector integration is a requirement, consider AI Peekaboo, which includes API access from $50/month.
What is the difference between the Starter and Pro plans?
Riff Analytics does not publish detailed feature comparisons between Starter ($49/month) and Pro ($199/month) on their public pricing page. Contact them directly to clarify what additional capacity or features the Pro plan includes before upgrading.