Choose Peekaboo to explain the gap
Your team needs fresher observations, evidence behind each score, newly surfaced competitors and a direct path from a lost recommendation to a To-do, prompt-level Content Brief or client report.
Vendor comparison
AI Peekaboo vs LLM Pulse
When a buyer asks AI what to choose, which platform helps your team find the lost recommendation, verify the evidence and act on it? This source-linked comparison follows that workflow, then checks pricing, cadence and plan limits.
By John Rice, Co-Founder & CTOFact-checked by the Peekaboo editorial team against primary sourcesUpdated
Which platform fits the problem you need to solve?
Choose LLM Pulse for broader automation
Weekly collection is sufficient and larger prompt allowances, a more mature Agent and MCP surface, complete-article generation, broader analytics-provider support or published automation integrations matter more to your team. Confirm the exact plan gate for each workflow.
The decision is workflow depth versus breadth
Peekaboo centers on an auditable loop from observed response to prioritized work, with faster public self-serve cadences. LLM Pulse publishes a broader automation and content-generation surface, plus larger prompt allowances. This public-document review cannot determine measurement accuracy; that requires a controlled hands-on test.
Research scope
- Research type
- Public-document review
- Included
- Public prices, tier limits, cadence and published feature availability
- Not tested
- Accuracy, collection reliability, onboarding, support, API behavior, uptime, security, retention or export quality
- Account access
- No paid LLM Pulse workspace was used for this edition
Current Peekaboo product map
What can Peekaboo help your team do today?
This inventory separates generally available workflows from beta, free and separately scoped surfaces. It is based on the current product routes, public feature documentation and plan catalog—not a roadmap wish list.
AvailableBetaFreeScoped
Measure the answer
See what each AI surface said, which brands appeared and which sources the answer cited.
- Available
Five-surface prompt tracking
Scheduled runs across ChatGPT, Gemini, Perplexity, Google AI Mode and Google AI Overviews, with cadence set by plan.
- Available
Response evidence and transparent scoring
Inspect the underlying responses, mentions and ranks; eligible non-mentions remain in the score denominator as zero.
- Available
Competitor discovery and share of voice
Compare tracked competitors and surface recurring brands or products that appear even when they were not preconfigured.
- Available
Citations, sources and sentiment
Break out cited domains and sentiment by prompt and model, then investigate the responses behind a change.
Find the opportunity
Find the missing buyer questions and competitive gaps worth adding to the program.
- Available
Prompt Suggestions
Draft onboarding questions across discovery, purchase-intent and sentiment strategies, then edit and approve only the ones worth tracking.
- Available
Prompt Research
Audit the tracked set by journey stage and response performance, then find thin coverage and prompts where competitors appear instead.
- Available
Prompt Variant Tracking
Draft paraphrases and modifier variants, choose the credible ones and compare their per-model results as separate tracked questions.
- Available
Model, category and intent breakdowns
Compare performance by model and organize prompts around category and buyer intent rather than one undifferentiated score.
- Available
Content and source intelligence
Export losing prompts and the domains models cite so content and outreach work starts from observed evidence.
Turn evidence into work
The activation layer: grounded actions, editorial briefs, conversational analysis and technical checks.
- Available
Grounded To-dos
Generate evidence-linked recommendations, focus by workstream or AI engine, triage them through a board and export CSV or JSON.
- Available
Content Briefs
Build one prompt-level brief from at least three observed runs, including the leaderboard, sources to beat, sentiment gap and recommended actions.
- Beta
Ask AI
Query account data, explain movement, diagnose gaps, recommend next steps and build or revise dashboard widgets in a conversational workspace.
- Free
Technical GEO and specialist tools
Use technical analysis plus free crawlability, visibility-gap, llms.txt, sentiment, legal and product-visibility tools.
Report and distribute
First-party context, BI exports, client sharing and integration surfaces.
- Available
Google Search Console
Connect through read-only Google OAuth and compare first-party queries, clicks, impressions and landing-page performance with AI visibility.
- Available
Google Analytics 4 (GA4)
Connect a GA4 property through read-only Google OAuth to measure AI-referred sessions, landing pages and traffic trends alongside visibility.
- Available
Looker Studio and file exports
Move completed-run data into Looker Studio and use supported CSV or JSON exports for analysis and handoff.
- Available
Client share links
Create per-brand read-only reports, control visible tabs with agency defaults or brand overrides, and rotate or revoke access.
- Scoped
White-label delivery
Supported branding and broader white-label delivery are available through a separately scoped engagement.
- Beta
REST API and hosted MCP
Eligible accounts can request project-scoped REST and hosted MCP beta access; an active plan does not guarantee enablement.
Where the workflows solve different problems
Similar feature names can hide different jobs. This view shows where the products overlap, where the implementation differs and where LLM Pulse publishes the stronger capability—not just where Peekaboo has an advantage.
Swipe or use the arrow keys to view all four columns.
| Decision factor | AI Peekaboo | LLM Pulse | Context |
|---|---|---|---|
| Tracked observations and raw responses | All five core surfaces on every paid plan, with scheduled cadence by tier and drill-down to the response evidence behind scores. Sources (accessed July 20, 2026): Peekaboo prompt tracking, Peekaboo methodology | The same five core surfaces by default; its Responses Explorer documents full answers, inline citations, highlighted mentions, sentiment and history. Sources (accessed July 20, 2026): LLM Pulse Responses Explorer (opens in a new tab), LLM Pulse methodology (opens in a new tab) | This public-document review does not test collection completeness, response fidelity or uptime. |
| Scoring and auditability | Its methodology states that every eligible run remains in the denominator and a non-mention contributes zero; displayed filters and run counts are part of the result. Source (accessed July 20, 2026): Peekaboo methodology | Publishes its own measurement methodology and visibility metrics. The two proprietary scores are not treated as interchangeable here. Source (accessed July 20, 2026): LLM Pulse methodology (opens in a new tab) | A transparent definition improves auditability but does not, by itself, prove higher accuracy. |
| Competitor and share-of-voice context | Tracks configured competitors and surfaces untracked brands or products found repeatedly in model answers. Sources (accessed July 20, 2026): Peekaboo brand visibility, Peekaboo share of voice | Compares configured competitors with share-of-voice views and filters by model, locale and collection. Source (accessed July 20, 2026): LLM Pulse share of voice (opens in a new tab) | Automatic discovery is useful for finding unknown entrants; configured competitor sets remain important for stable benchmarking. |
| Prompt discovery, research and variants | Prompt Suggestions drafts onboarding questions for review. Prompt Research audits tracked coverage and competitive gaps. Prompt Variant Tracking compares only the variants a user approves. Sources (accessed July 20, 2026): Peekaboo Prompt Suggestions, Peekaboo prompt research, Peekaboo Prompt Variant Tracking | Documents prompt research plus Query Fan Out that extracts related searches and tool queries from live ChatGPT API responses. Source (accessed July 20, 2026): LLM Pulse Query Fan Out (opens in a new tab) | These are different workflows: Peekaboo supports human-selected prompt variants; LLM Pulse documents extraction of ChatGPT’s internal query data. |
| Recommendations and content workflow | Grounded To-dos turn observed gaps into a triageable action board; prompt-level Content Briefs assemble evidence and recommended actions without drafting a full article. Sources (accessed July 20, 2026): Peekaboo recommendations, Peekaboo Content Briefs | Generates prioritized, evidence-linked recommendations and offers GEO Writer for briefs, complete articles, updates, positioning and PR outputs. Sources (accessed July 20, 2026): LLM Pulse recommendations (opens in a new tab), LLM Pulse GEO Writer (opens in a new tab) | LLM Pulse publicly documents the broader autonomous writing surface. Peekaboo’s current emphasis is an auditable evidence-to-work handoff. |
| Conversational analysis | Ask AI is an in-product beta for querying metrics, explaining scores, diagnosing changes, recommending fixes and building or revising dashboard widgets. Source (accessed July 20, 2026): Peekaboo Ask AI beta | Its Agent is listed on Growth and above and can both analyze data and write back by adding prompts, competitors, annotations, tags and launching content or audit tasks. Source (accessed July 20, 2026): LLM Pulse Agent (opens in a new tab) | LLM Pulse documents a broader set of write actions today; Peekaboo labels Ask AI as beta. |
| Search and traffic connections | Read-only Google Search Console and GA4 connections, with Looker Studio reporting and explicit guidance not to present correlation as causal proof. Sources (accessed July 20, 2026): Peekaboo web analytics, Peekaboo Search Console, Peekaboo GA4, Peekaboo Looker Studio | Documents GSC through MCP. Its analytics page markets GA4, Plausible, Piano, PostHog and Adobe-family connections, while the FAQ names only GA4, Plausible and Piano; AI Traffic is listed from Growth. Sources (accessed July 20, 2026): LLM Pulse web analytics (opens in a new tab), LLM Pulse MCP (opens in a new tab) | LLM Pulse publishes the broader provider catalog, but its own page describes that catalog inconsistently. Confirm the required provider before purchase. Peekaboo’s documented first-party scope is GSC and GA4. |
| API, MCP and automation | Project-scoped REST API and hosted MCP are limited betas for eligible accounts and may require enablement. Sources (accessed July 20, 2026): Peekaboo REST API, Peekaboo hosted MCP | Hosted OAuth MCP with more than 45 read/write tools is listed on every plan; REST API and n8n API-key workflows are listed from Scale. Sources (accessed July 20, 2026): LLM Pulse MCP (opens in a new tab), LLM Pulse REST API (opens in a new tab), LLM Pulse n8n (opens in a new tab) | For a production automation purchase, LLM Pulse has the stronger public availability story today. |
| Free report and technical tools | Offers a no-card one-time report plus free crawlability, visibility-gap, llms.txt, sentiment, legal and product-visibility tools. Sources (accessed July 20, 2026): Peekaboo pricing and free report, Peekaboo free tools | Also offers a no-login-or-card visibility report and a broad free technical GEO toolkit, including crawlability and llms.txt tools. Sources (accessed July 20, 2026): LLM Pulse free report (opens in a new tab), LLM Pulse GEO tools (opens in a new tab) | A free snapshot is useful for evaluation but is not equivalent to repeated tracking under a paid plan. |
What each public plan buys
Scope: Peekaboo Starter, Peek and Grow, including their published brand and agency variants, versus LLM Pulse Starter, Growth and Scale. LLM Pulse also publicly lists higher-capacity Scale+ and Scale++; those tiers, Enterprise and negotiated terms are outside the main table.
Swipe or use the arrow keys to view all four columns.
| Decision factor | AI Peekaboo | LLM Pulse | Context |
|---|---|---|---|
| Entry monthly price | $50 USD for Starter Source (accessed July 20, 2026): Peekaboo pricing | €49 EUR for Starter Source (accessed July 20, 2026): LLM Pulse pricing (opens in a new tab) | Monthly public list prices before tax. LLM Pulse says local-currency conversions can vary with Stripe exchange rates. |
| Tracking cadence | Every 2 days on Starter; daily on Peek and Grow Source (accessed July 20, 2026): Peekaboo pricing | Weekly on its publicly listed plans by default Sources (accessed July 20, 2026): LLM Pulse pricing (opens in a new tab), LLM Pulse methodology (opens in a new tab) | No additional qualification beyond the linked vendor pages. |
| Core AI surfaces | ChatGPT, Gemini, Perplexity, Google AI Mode, Google AI Overviews Source (accessed July 20, 2026): Peekaboo pricing | ChatGPT, Perplexity, Gemini, Google AI Mode and Google AI Overviews Source (accessed July 20, 2026): LLM Pulse pricing (opens in a new tab) | Both vendors publicly list these five core surfaces. LLM Pulse lists additional models for Enterprise. |
| Brand or project limits | Brand variants: one brand. Agency variants: 2 brands on Starter/Peek and 5 on Grow Source (accessed July 20, 2026): Peekaboo pricing | One project on Starter, two on Growth and five on Scale Source (accessed July 20, 2026): LLM Pulse pricing (opens in a new tab) | A Peekaboo brand and an LLM Pulse project are the closest public plan containers, but their setup and billing rules may differ. |
| Prompt limits | Brand variants: 40 on Starter/Peek and 100 on Grow. Agency variants: 20 per brand Source (accessed July 20, 2026): Peekaboo pricing | 50 on Starter, 150 on Growth and 450 on Scale, each run weekly across included models Source (accessed July 20, 2026): LLM Pulse pricing (opens in a new tab) | Prompt counts and collection cadence must be evaluated together; neither figure alone establishes data quality. |
| Web analytics connections | Read-only Google Search Console and GA4 connections are publicly documented Sources (accessed July 20, 2026): Peekaboo Search Console, Peekaboo GA4 | GSC is documented through MCP; its AI Traffic page markets GA4 and multiple other analytics providers from Growth, with an internal provider-list inconsistency Sources (accessed July 20, 2026): LLM Pulse web analytics (opens in a new tab), LLM Pulse GA4 (opens in a new tab), LLM Pulse MCP (opens in a new tab) | LLM Pulse’s analytics hero and integration cards name more providers than its FAQ. Ask both vendors to demonstrate the exact property, history and attribution workflow you need. |
| Exports and BI reporting | Looker Studio reporting is listed in the public plan catalog Sources (accessed July 20, 2026): Peekaboo pricing, Peekaboo Looker Studio | CSV on Starter/Growth/Scale; the detailed matrix lists Data Studio from Scale Source (accessed July 20, 2026): LLM Pulse pricing (opens in a new tab) | LLM Pulse uses “Data Studio” wording on its plan matrix. Confirm format, history and refresh limits before purchase. |
| API and MCP access | Self-serve plans are eligible for limited REST API and hosted MCP betas; access may require enablement Sources (accessed July 20, 2026): Peekaboo REST API, Peekaboo hosted MCP | Hosted OAuth MCP is documented on every plan; REST API is documented from Scale Sources (accessed July 20, 2026): LLM Pulse MCP (opens in a new tab), LLM Pulse REST API (opens in a new tab) | LLM Pulse has the stronger published production-availability story here. Confirm tool-level plan gates and write permissions before building automation. |
| Paid-plan trial | 14-day trial on Starter and Peek, with a card required at checkout; Grow has no listed trial Source (accessed July 20, 2026): Peekaboo pricing | 14-day trial with a valid card required Source (accessed July 20, 2026): LLM Pulse pricing (opens in a new tab) | No additional qualification beyond the linked vendor pages. |
| No-card evaluation | One-time free report without a card; this is separate from a paid-plan trial Source (accessed July 20, 2026): Peekaboo pricing | One-time free visibility report without a login or credit card; this is separate from its paid-plan trial Source (accessed July 20, 2026): LLM Pulse free report (opens in a new tab) | Both vendors offer a no-card snapshot. Neither snapshot should be treated as a substitute for repeated tracking. |
| White-label availability | White-label delivery is available through a separately scoped agency or Enterprise engagement; it is not bundled into self-serve plans. Sources (accessed July 20, 2026): Peekaboo white-label, Peekaboo pricing | Its detailed pricing matrix and full-whitelabel guide place full white-label on Enterprise Sources (accessed July 20, 2026): LLM Pulse pricing (opens in a new tab), LLM Pulse full white-label guide (opens in a new tab), LLM Pulse agency page (opens in a new tab) | LLM Pulse also invites agency trial users to configure partial or full white-label. Those official pages do not state the same eligibility rule, so confirm the commercial terms in writing. |
What the plan pages do not answer
Prompt count and cadence help estimate capacity, but they do not establish data quality, reliability or business value. Before choosing either vendor, run the same prompt cohort and ask both teams to document the operational details below.
- Actual successful executions per month, including retry and failure handling
- Language, location, personalization and account-state controls
- Raw-answer, citation and historical export availability
- Data retention, auditability and entity-resolution limitations
- API and MCP entitlement, rate limits, beta terms and support
- Seats, client access, security review and cancellation terms
Project and brand counts are not exact equivalents, and two vendors' proprietary scores should not be treated as interchangeable. Compare repeated observations under controlled conditions and inspect the underlying response evidence.
Comparison methodology and sources
We reviewed each vendor's official public plan, feature and methodology pages on . Peekaboo facts are checked against the public plan catalog that also supports pricing and subscription enforcement, the current application routes, and the public feature catalog. LLM Pulse facts are attributed to its official pages.
We preserve each vendor's wording where plan structures differ, record material conflicts between official pages and avoid resolving undocumented terms by assumption. We did not compare proprietary visibility scores because their collection and scoring systems are not established as equivalent.
This process follows Peekaboo's editorial and corrections policy. Methodology details are linked below so readers can assess each vendor's measurement claims directly.
Primary sources
All sources were accessed July 20, 2026. External pages can change or become temporarily unavailable; the canonical vendor URLs are retained for verification.
- Peekaboo pricing
- Peekaboo measurement methodology
- Peekaboo prompt tracking
- Peekaboo Prompt Suggestions
- Peekaboo Prompt Research
- Peekaboo Prompt Variant Tracking
- Peekaboo To-dos and recommendations
- Peekaboo Content Briefs
- Peekaboo Ask AI beta
- Peekaboo web analytics integration
- Peekaboo Google Search Console integration
- Peekaboo Google Analytics 4 integration
- Peekaboo REST API beta
- Peekaboo hosted MCP beta
- Peekaboo white-label scope
- LLM Pulse pricing (opens in a new tab)
- LLM Pulse measurement methodology (opens in a new tab)
- LLM Pulse Responses Explorer (opens in a new tab)
- LLM Pulse Recommendations (opens in a new tab)
- LLM Pulse GEO Writer (opens in a new tab)
- LLM Pulse Agent (opens in a new tab)
- LLM Pulse web analytics (opens in a new tab)
- LLM Pulse MCP (opens in a new tab)
- LLM Pulse REST API (opens in a new tab)
- LLM Pulse agency and white-label page (opens in a new tab)
- LLM Pulse full white-label guide (opens in a new tab)
Material change log
— Verified public prices, tier scope, cadence, prompt limits, trials, integrations and white-label wording. Added the current Peekaboo capability inventory and a feature-level workflow comparison. Corrected the earlier treatment of LLM Pulse's GSC/GA4, free-report, Agent, GEO Writer, MCP and API capabilities.
See an error or a changed plan? Email team@aipeekaboo.com with the URL, disputed statement and supporting evidence so we can review and correct the page.
Frequently asked questions
Is this an independent or hands-on review?
No. Peekaboo publishes this comparison and competes with LLM Pulse. This edition is a public-document review, not an independent assessment or hands-on product benchmark. No paid LLM Pulse workspace was tested for this update.
What does Peekaboo include beyond prompt tracking?
Peekaboo connects five-surface prompt tracking with response evidence, transparent scoring, competitor discovery, share of voice, citation and sentiment analysis, Prompt Suggestions, Prompt Research, Prompt Variant Tracking, grounded To-dos, prompt-level Content Briefs, read-only GSC and GA4 connections, Looker Studio, exports and share links. Ask AI, REST API and hosted MCP are labeled beta or enablement-based rather than generally available.
Where is LLM Pulse stronger today?
Its public documentation shows larger prompt allowances, a more mature all-plan MCP surface, REST API availability from Scale, broader analytics-provider coverage, an Agent with more write actions, and GEO Writer for complete article and content generation. This comparison states those advantages directly rather than treating every overlapping feature as a Peekaboo win.
Does AI Peekaboo track more frequently than LLM Pulse?
On the public plans reviewed July 20, 2026, Peekaboo lists every-two-day tracking on Starter and daily tracking on Peek and Grow. LLM Pulse lists weekly tracking by default.
Do AI Peekaboo and LLM Pulse cover the same core AI platforms?
Their public self-serve coverage overlaps on five core surfaces: ChatGPT, Perplexity, Gemini, Google AI Mode and Google AI Overviews. LLM Pulse also lists additional models for Enterprise.
Which product has the larger public prompt allowance?
For the three entry tiers compared, LLM Pulse lists larger plan-level prompt allowances: 50, 150 and 450, each run weekly across the included models. Peekaboo lists 40, 40 and 100 prompts on its brand variants, while agency variants list 20 prompts per brand. Cadence differs, so prompt allowance alone does not represent total collection volume.
Is a credit card required for the free trial?
Yes for both vendors’ paid-plan trials. Peekaboo requires a card at checkout for its 14-day Starter and Peek trials; Grow has no listed trial. Each vendor also publishes a separate one-time free visibility report that does not require a credit card.
Do the self-serve plans include white-label portals?
Peekaboo does not bundle white-label delivery into self-serve plans; it is separately scoped for agency or Enterprise engagements. LLM Pulse’s detailed pricing matrix and full-whitelabel guide place full white-label on Enterprise, while its agency page also promotes trial-based partial and full setups. Confirm eligibility directly.
Why are LLM Pulse Scale+ and Scale++ not in the main table?
LLM Pulse publicly lists higher-capacity Scale+ and Scale++ options. To keep like-for-like entry-tier comparisons readable, the table uses its primary Starter, Growth and Scale matrix. Scale+, Scale++, Enterprise and negotiated terms are outside the table scope.
Test the problem your team actually needs to solve
Start with the no-card free report, then use an eligible paid-plan trial to check whether the cadence, evidence and reporting workflow fit your team. Compare repeated observations instead of relying on a single generated answer.
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