Comparison

AI Peekaboo vs Riff Analytics in 2026: Agency delivery vs in-house orientation

Two AI visibility platforms built for different buyers. One is wired for agencies delivering reports to clients. The other is built for in-house teams running their own monitoring.

Updated October 23, 2026
AI Peekaboo
Riff Analytics
Key takeaways
  • AI Peekaboo is the agency-grade option. Read and write API on every paid plan from $30/month, white-label client views with guest access links on plans from $100/month, multi-brand management under one account, and pay-for-what-you-track pricing.
  • Riff Analytics is the in-house monitoring option. Tracks 7 AI models including Grok, DeepSeek, and Llama, runs citation source tracking to show which URLs AI engines cite, but has no API and no white-label delivery on any plan.
  • AI Peekaboo at $30/month undercuts Riff Analytics at $49/month on entry price. The difference is what each unlocks at that price point: AI Peekaboo unlocks the API, with white-label from $100/month; Riff Analytics unlocks 7-model coverage with citation source tracking.
  • For Generative Engine Optimization (GEO) work that needs to flow into Looker Studio, internal dashboards, or programmatic monitoring workflows, AI Peekaboo is the only one of the two that supports that on a standard plan.
  • For in-house teams that need to know which URLs AI engines are citing when they mention the brand, Riff Analytics' citation source tracking is the more useful feature for content strategy work.
  • Neither tool includes crawler log access. If you need to see when GPTBot or ClaudeBot last visited your pages, you need a third platform. Both cover GEO monitoring fundamentals well.

How does AI Peekaboo compare to Riff Analytics for teams running AI visibility programmes in 2026? Both tools track brand mentions across AI-generated answers, both are self-serve, and both cover Generative Engine Optimization (GEO) measurement fundamentals. The split is at the buyer level. AI Peekaboo is built for agencies and consultants who need to deliver branded reports to clients, manage multiple brands under one account, and pipe visibility data into external tools via API. Riff Analytics is built for in-house brand managers and content teams who need broad AI engine coverage and citation source tracking without any need for client delivery. Riff covers 7 AI models including Grok, DeepSeek, and Llama on top of the core engines. AI Peekaboo covers 5 engines but unlocks API access and Looker Studio integration from $30/month and white-label delivery from $100/month. The right pick depends on whether you are delivering visibility data to clients or keeping it inside your own team.

The tools at a glance

ToolStarting priceBest for
AI PeekabooFrom $30/moAgencies, consultants, and multi-brand teams who need Generative Engine Optimization (GEO) data to flow into client reports, internal dashboards, or programmatic workflows with API access and white-label delivery on standard plans.
Riff Analytics$49/moIn-house brand managers, content strategists, and competitive intelligence analysts who need broad AI model coverage and citation source tracking, and who do not need API access or client-facing delivery.

AI Peekaboo

AI visibility monitoring with a read/write API and white-label delivery

Full review →
AI Peekaboo screenshot

AI Peekaboo tracks where your brand appears across ChatGPT, Gemini, Perplexity, Google AI Overviews, and Google AI Mode. The platform was built for the agency and consultant workflow: manage multiple client brands under one account, set different monitoring frequencies per client, deliver white-label reports via guest access links, and pipe visibility data into other tools via API.

Every paid plan includes a read and write API, so agencies can pull data into existing client dashboards or trigger monitoring runs on demand as part of an audit workflow. The Looker Studio connector is included on every paid plan. White-label client views and guest access links come on plans from $100/month, which removes the need for clients to log into another platform. Pricing is per prompt rather than per seat, so adding a new client brand does not add a new licence fee.

The main tradeoff versus Riff Analytics is engine count. AI Peekaboo tracks 5 engines versus Riff Analytics' 7. For brands whose audience is concentrated on ChatGPT, Perplexity, Gemini, and Google's AI surfaces, 5 engines is enough. For teams that need to monitor Grok, DeepSeek, or Llama as separate channels, Riff Analytics has the wider net.

Pricing
Feature
Pay for what you track
From $30/mo
How the price is setBrands, prompts, AI models and check frequency you choose
AI modelsChatGPT, Gemini, Perplexity, Google AI Overviews, Google AI Mode
Add-on modelsClaude, Microsoft Copilot
Team membersUnlimited
REST API and Looker StudioIncluded on paid plans
White-label reports and share linksFrom $100/mo
Free trial14 days on plans under $100, card required
Best for: Agencies, consultants, and multi-brand teams who need Generative Engine Optimization (GEO) data to flow into client reports, internal dashboards, or programmatic workflows with API access and white-label delivery on standard plans.

Riff Analytics

AI brand visibility tracking across 7 LLM engines with citation source analysis, sentiment monitoring, and competitor benchmarking

Full review →
Riff Analytics screenshot

Riff Analytics tracks brand mentions across 7 AI engines: ChatGPT, Perplexity, Claude, Gemini, Grok, DeepSeek, and Llama. This is one of the widest model coverages in the Generative Engine Optimization (GEO) category, and it matters for brands whose audiences use a diverse mix of AI assistants rather than just the top two or three.

Beyond mention tracking, Riff Analytics records which URLs and domains AI engines cite when they mention your brand. This citation source tracking tells you whether AI models are pulling from your own content, third-party reviews, press coverage, or competitor domains. 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. The platform also runs an AI readiness audit against your domain to give you a baseline before ongoing monitoring begins.

The constraint is operational delivery. There is no API on any plan, no white-label delivery, no client portal, no guest access. Riff Analytics is built for in-house teams running their own monitoring and reporting. Agencies managing multiple client brands will find the platform hard to use in a multi-tenant workflow.

Pricing
Feature
Starter
$49/mo
Pro
$199/mo
AI models tracked77
Citation source tracking✓✓
Competitor benchmarking✓✓
AI readiness audit✓✓
API access✗✗
White-label delivery✗✗
Looker Studio connector✗✗
Best for: In-house brand managers, content strategists, and competitive intelligence analysts who need broad AI model coverage and citation source tracking, and who do not need API access or client-facing delivery.

Head-to-head feature comparison

Feature
AI Peekaboo
Riff Analytics
AI engines trackedChatGPT, Gemini, Perplexity, Google AI Overviews, Google AI ModeChatGPT, Perplexity, Claude, Gemini, Grok, DeepSeek, Llama
Competitive share-of-voiceYesYes
Prompt-level citation dataYesYes
Answer / content gap analysisYesYes (AI readiness audit)
Category intelligenceNoNo
AEO content generationNoNo
Crawler / AI bot log accessNoNo
Page content auditsNoNo
API accessRead + Write, paid plansNo
Looker Studio / BI connectorYes, paid plansNo
White-label deliveryFrom $100/moNo
Pay-per-prompt pricingYesNo
Agency multi-brand supportYesNo
Starting priceFrom $30/mo$49/mo

Which should you choose?

Agencies managing multiple client brands with white-label reporting needsAI Peekaboo
In-house brand managers running single-brand monitoring onlyRiff Analytics
Teams needing API access to pull visibility data into Looker Studio or BI toolsAI Peekaboo
Content strategists focused on which URLs AI engines cite for their brandRiff Analytics
Multi-client agencies that need pay-per-prompt cost predictabilityAI Peekaboo
In-house teams that want to track Grok and DeepSeek as separate channelsRiff Analytics
Freelance consultants delivering Generative Engine Optimization (GEO) reports to clientsAI Peekaboo

The cleanest way to think about these two tools is by their target buyer. AI Peekaboo is built for the agency workflow: multi-brand management, white-label delivery, API access, and pricing that scales across client accounts. Riff Analytics is built for the in-house workflow: broader engine coverage, citation source tracking, and competitive benchmarking inside a single-brand dashboard. At $30/month versus $49/month AI Peekaboo is the cheaper entry, and what each tool unlocks is different. If you are an agency, the choice is obvious. If you are in-house and you do not need to push data into other systems, Riff Analytics' 7-model coverage and citation source tracking are strong reasons to pick it.

Bottom line

Both tools are credible Generative Engine Optimization (GEO) monitors with low entry prices. AI Peekaboo at $30/month is the right pick for agencies that need API access and white-label delivery. Riff Analytics at $49/month is the right pick for in-house teams that need broader engine coverage and citation source tracking inside a single dashboard.

Frequently asked questions

How does AI Peekaboo compare to Riff Analytics for agencies?

AI Peekaboo is purpose-built for agencies. Multi-brand management, white-label client views with guest access links on plans from $100/month, pay-for-what-you-track pricing that scales across client accounts, and a read and write API on every paid plan from $30/month. Riff Analytics is built for in-house use only; there is no API, no white-label delivery, and no client portal on any plan.

How much does Riff Analytics cost compared to AI Peekaboo?

Riff Analytics starts at $49/month for Starter and $199/month for Pro. AI Peekaboo plans start at $30/month and rise as you add brands, prompts and models. The entry price is lower at AI Peekaboo. The Pro tier jump at Riff Analytics ($199/month) is a significant step up from Starter without clearly differentiated public documentation on what unlocks at that level.

Which AI visibility tool tracks more AI engines?

Riff Analytics tracks 7 AI engines (ChatGPT, Perplexity, Claude, Gemini, Grok, DeepSeek, Llama) versus AI Peekaboo's 5 engines (ChatGPT, Gemini, Perplexity, Google AI Overviews, Google AI Mode). If your audience uses Grok or DeepSeek as primary channels, Riff Analytics has the wider net.

Does Riff Analytics have API access?

Riff Analytics does not offer API access on any plan, including the $199/month Pro tier. Data cannot be exported programmatically to external tools. AI Peekaboo includes both read and write API on every paid plan from $30/month, which is the cleaner option for AI visibility tool comparison work that needs BI integration.

Is Riff Analytics worth the cost for in-house brand managers?

For in-house brand managers who need broad engine coverage and citation source tracking, Riff Analytics at $49/month is priced close to AI Peekaboo, which starts at $30/month. The differentiator is feature mix: Riff gives you 7-model coverage and citation source URLs, AI Peekaboo gives you API access and white-label delivery. Pick based on which set of features your in-house workflow needs.

Which AI visibility tool with API access and white-label delivery is best for small agencies?

AI Peekaboo from $30/month is the most affordable AI visibility tool that includes API access and Looker Studio integration on a self-serve plan, with white-label delivery from $100/month. Riff Analytics charges $49/month but does not include any of those operational features. For small agencies delivering AI visibility reports to clients, AI Peekaboo is the stronger fit.

Photo of Filipe Lins DuarteReviewed by Filipe Lins DuarteCo-Founder & CEO

Vast experience talking to customers and users to understand what good software looks like. Background spans commercial and product roles.

Photo of John RiceChecked by John RiceCo-Founder & CTO

15+ years building tech products and web applications. Conducted hundreds of user interviews to know what a good product looks like.

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