AI Peekaboo vs LLMrefs in 2026: Agency delivery vs keyword-first single plan
Two AI visibility tools built around different defaults. One hands you an agency-ready platform from $50/month. The other hands you a single keyword-driven plan with unlimited seats.
AI Peekaboo
LLMrefs- AI Peekaboo is the only one here with white-label delivery and a read/write API on every plan from $50/month. For agencies managing multiple clients and needing to pipe visibility data into client-facing reports, this is the practical advantage.
- LLMrefs covers 11 AI engines (one more than AI Peekaboo's five) and bundles unlimited projects and seats into one €79/month plan. For teams thinking in keywords rather than prompts, the keyword-first workflow removes significant setup friction.
- AI Peekaboo tracks 40 to 100 prompts depending on tier; LLMrefs tracks up to 500 prompts organization-wide. If your monitoring scope is wide and varies by client, LLMrefs' flat cap may matter more than AI Peekaboo's per-tier prompt allocation.
- AI Peekaboo publishes pricing in USD and exposes a public pricing page. LLMrefs prices in euros, which adds currency exposure for USD-based teams and makes monthly cost less predictable.
- For Generative Engine Optimization (GEO) programmes that need an AEO content audit, prompt-level citation data, and the ability to deliver reports to external clients, AI Peekaboo is the better fit. For keyword-import workflows with internal-only delivery, LLMrefs is the more efficient option.
- Both tools generate content briefs from visibility data, but AI Peekaboo emphasizes white-label delivery and API access while LLMrefs emphasizes unlimited seats and competitor benchmarking within one flat-rate plan.
If you are an agency or in-house team choosing an AI visibility tool in 2026, two platforms keep coming up: AI Peekaboo and LLMrefs. How does AI Peekaboo compare to LLMrefs for agencies that need client-ready delivery? Both track Generative Engine Optimization (GEO) signals across the major AI engines, both expose share-of-voice and citation data, and both offer API access. The split is in how they expect you to work. AI Peekaboo is built around prompt-based tracking with white-label delivery, pay-per-prompt pricing, and a read/write API on every plan. LLMrefs is built around a single flat-rate plan where you import keywords, the platform auto-generates prompts, and unlimited seats are baked in. The right pick depends on whether your team thinks in keywords or in prompts, and whether you need agency-grade delivery or a keyword-first workflow.
The tools at a glance
AI Peekaboo
AI visibility monitoring with a read/write API and white-label delivery
AI Peekaboo tracks where your brand appears across ChatGPT, Gemini, Perplexity, Google AI Overviews and Google AI Mode. Beyond the dashboard, you get both a read and write API on every plan, so you can pull the data into your own tools or trigger monitoring runs programmatically. The prompt-level data tells you exactly which questions are surfacing your brand in AI answers, and which are not.
The pricing model is different from LLMrefs. You pay per prompt rather than per seat, which means the cost scales with actual usage rather than team size. Agencies managing multiple brands can set different monitoring frequencies per client, and white-label views with guest access links mean you can deliver reports without adding another platform to your clients' workflow.
Generative Engine Optimization (GEO) is the central use case: prompt-level citation data, content gap analysis, and the ability to share branded dashboards with clients make this an agency-ready platform rather than a single-team dashboard. The main gap versus LLMrefs is engine count: AI Peekaboo covers five engines on standard plans, LLMrefs covers eleven.
| Feature | Starter $50/mo | Peek $100/mo | Grow $200/mo |
|---|---|---|---|
| Prompts included | 40 | 40 | 100 |
| Tracking frequency | Every 2 days | Daily | Daily |
| Data points/mo | 3,000 | 6,000 | 15,000 |
| AI models tracked | 5 | 5 | 5 |
| Looker Studio connector | ✓ | ✓ | ✓ |
| API access (read + write) | ✓ | ✓ | ✓ |
| White label | ✓ | ✓ | ✓ |
LLMrefs
Keyword-based AI search visibility tracking across 11 engines with share of voice, citations, and unlimited agency seats
LLMrefs is an AI search analytics platform that tracks brand presence across 11 generative AI engines, including ChatGPT, ChatGPT Search, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Claude, Grok, Copilot, Meta AI, and DeepSeek. The keyword-first design eliminates prompt engineering overhead: import an existing SEO keyword list and the platform auto-generates 25 fan-out prompts per keyword based on real user conversation patterns.
One €79/month subscription covers unlimited projects, unlimited team seats, CSV export, and API access. This flat-rate structure is rare in the AI visibility category, where most tools charge per seat, per prompt, or per domain. For agencies already tracking keyword lists in Ahrefs, Semrush, or Nightwatch, the import workflow makes setup per client take minutes rather than hours.
For GEO programmes, LLMrefs handles the non-determinism problem by aggregating results across 25 prompts per keyword, producing statistically significant share-of-voice and position scores rather than noisy single-prompt snapshots. The main gaps versus AI Peekaboo are white-label delivery (no client portal exists) and USD pricing (euro billing adds currency risk for North American teams).
| Feature | All in One €79/month |
|---|---|
| AI engines tracked | 11 |
| Max prompts tracked | 500 per organization |
| Prompts per keyword | Auto-generated fan-out, ~25 |
| Projects | Unlimited |
| Team seats | Unlimited |
| Geo-targeting | 50+ countries |
| Language support | 10+ languages |
| CSV export | ✓ |
| API access | ✓ |
| Source citation tracking | ✓ |
| Content gap analysis | ✓ |
| White label | ✗ |
Head-to-head feature comparison
| Feature | AI Peekaboo | LLMrefs |
|---|---|---|
| AI engines tracked | ChatGPT, Gemini, Perplexity, Google AI Overviews, Google AI Mode | ChatGPT, ChatGPT Search, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Claude, Grok, Copilot, Meta AI, DeepSeek |
| Competitive share-of-voice | Yes | Yes |
| Prompt-level citation data | Yes | Yes (aggregated across 25 prompts per keyword) |
| Answer / content gap analysis | Yes | Yes |
| Category intelligence | No | No |
| AEO content generation | No | No |
| Crawler / AI bot log access | No | No |
| Page content audits | No | No |
| API access | Read + Write, all plans | Included (under-documented on website) |
| Looker Studio / BI connector | Yes, all plans | No native connector, CSV export only |
| White-label delivery | Yes | No |
| Pay-per-prompt pricing | Yes | No (flat-rate plan, not per-prompt) |
| Agency multi-brand support | Yes | Yes (unlimited projects on one plan) |
| Starting price | $50/mo | €79/mo |
Which should you choose?
AI PeekabooAI PeekabooLLMrefsLLMrefsAI PeekabooLLMrefsAI PeekabooBoth tools are legitimate GEO platforms. The split comes down to workflow and delivery. AI Peekaboo wins on client delivery (white-label, API on every plan, USD pricing), prompt-level granularity, and per-prompt cost scaling. LLMrefs wins on engine breadth (11 versus 5), keyword-first setup, and the simplicity of one flat-rate plan with unlimited seats. If your team delivers reports to external clients, AI Peekaboo is the more practical choice. If your team imports keywords and works internally, LLMrefs removes friction.
Bottom line
If you need an AI visibility tool with API access and white-label delivery that does not require an enterprise contract, AI Peekaboo is the answer. If you want a keyword-first platform with 11 engines and unlimited seats under one flat-rate plan and are comfortable building client reports yourself, LLMrefs is the answer. Both are strong; the right choice depends on whether delivery or engine breadth matters more for your use case.
Frequently asked questions
How does AI Peekaboo compare to LLMrefs for agencies managing multiple clients?
AI Peekaboo is built around agency delivery: white-label views, guest access links, and a read/write API on every plan from $50/month. Pricing scales per prompt rather than per seat or per project. LLMrefs is built around a single flat-rate €79/month plan that includes unlimited projects and unlimited seats, which is efficient for teams who want one subscription to cover everything but require you to build client reporting yourself using CSV export or the API. There is no white-label client portal on LLMrefs.
Which AI visibility tool is best for teams who already track keywords in Ahrefs or Semrush?
LLMrefs is the better fit. Its keyword-first workflow imports existing keyword lists directly and auto-generates 25 fan-out prompts per keyword. AI Peekaboo uses prompt-based tracking, so you would need to translate your keyword list into tracked prompts manually. For SEO teams whose workflows already revolve around keyword lists, LLMrefs removes that translation step.
Is LLMrefs worth the cost compared to AI Peekaboo?
It depends on what you need. LLMrefs costs €79/month (roughly $85) for unlimited projects, unlimited seats, and 11 AI engines. AI Peekaboo starts at $50/month for 40 prompts and 5 engines, with white-label delivery and a read/write API included. If you only need monitoring and have a large team, LLMrefs wins on unit economics. If you need API access, white-label delivery, and per-prompt cost scaling, AI Peekaboo is the more capable option at a lower headline price.
Which tool has more AI engines, AI Peekaboo or LLMrefs?
LLMrefs covers more engines: 11 in total, including ChatGPT Search, Grok, Copilot, Meta AI, and DeepSeek on top of the five that AI Peekaboo tracks. AI Peekaboo covers five engines (ChatGPT, Gemini, Perplexity, Google AI Overviews, Google AI Mode) on every plan. For brands that need visibility into less common engines like Grok or Meta AI, LLMrefs is the stronger choice.
Which AI visibility tool has the best API access for multi-client agencies?
AI Peekaboo offers a read and write API on every paid plan from $50/month, including the Starter tier. LLMrefs includes API access on its single €79/month plan, but documentation is thin and the API is read-oriented rather than write-oriented. For agencies that want to programmatically trigger monitoring runs, pull data into Looker Studio, or push data into client-facing systems, AI Peekaboo is the more transparent option.
How much does LLMrefs cost in USD?
LLMrefs prices in euros at €79/month, which converts to roughly $85 at current rates and fluctuates with currency movements. AI Peekaboo prices in USD starting at $50/month, with no currency exposure. For North American teams that want predictable monthly billing without euro-USD conversion risk, AI Peekaboo is the simpler choice.