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The selection guideSource-backed research ↗
AI Search Monitoring / AI visibility & analytics

LLM Pulse

AI search visibility monitoring with agency white-label workflows

AI answer monitoring
Why it stands out

Transparent EUR self-serve pricing from €49/month.

Source review: · Public-source research, not a hands-on test

↗ Best for

Agencies that need multi-client projects and white-label reporting.

! Know before you buy

The self-serve prompt limits can become restrictive for multi-brand or multi-market programs.

01 / Editorial assessment

Is LLM Pulse for you?

The AICiteKit take

LLM Pulse is a credible candidate for agencies and small-to-mid-sized teams that want more than a basic mention tracker but do not want to begin with a demo-only enterprise platform. Its public pricing is easy to understand, its five-model base covers the major surfaces many teams track first, and its product includes a substantial set of operational features around prompts, citations, exports, and integrations. Consider LLM Pulse when transparent self-serve pricing, multi-surface monitoring, agency delivery, and integrations matter. Before choosing it for a large agency or regulated enterprise, verify prompt capacity, data retention, model coverage, API limits, white-label scope, and security documentation in writing.

A good fit if you are…

  • Agencies that need multi-client projects and white-label reporting.
  • Marketing teams tracking brand and competitor visibility across several AI search surfaces.
  • SEO and GEO consultants who want prompt, citation, sentiment, and share-of-voice data in one workspace.
  • Teams that want a public self-serve price before entering procurement.
  • Brands that need CSV, Excel, Looker Studio, API, or MCP-based access to visibility data.

Consider another option if…

  • Enterprises that require a fully audited security and data-governance package before a custom procurement review.
  • Teams that need hundreds or thousands of prompts on a low-cost plan.
  • Buyers who need every AI model, including Claude, Copilot, Grok, DeepSeek, and Meta AI, included in self-serve plans.
  • Teams looking for a traditional SEO suite with deep backlink, technical audit, and keyword-rank coverage.
  • Buyers who treat visibility or citation metrics as proof of traffic, pipeline, or revenue.

02 / Scope, not promises

Features & coverage

Starter

1 project, 50 tracked prompts, 5 competitors, weekly tracking

Archived research · Research dated 2026-08-19; confirm current termsResearch excerpt · Quick facts
Growth

2 projects, 150 tracked prompts, 10 competitors, weekly tracking

Archived research · Research dated 2026-08-19; confirm current termsResearch excerpt · Quick facts
Scale

5 projects, 450 tracked prompts, 15 competitors, weekly tracking

Archived research · Research dated 2026-08-19; confirm current termsResearch excerpt · Quick facts
Primary use case

AI search visibility, citations, sentiment, competitors, and AI traffic

Archived research · Research dated 2026-08-19; confirm current termsResearch excerpt · Quick facts
Starting price

€49/month monthly; €41/month equivalent on annual billing

Archived research · Research dated 2026-08-19; confirm current termsResearch excerpt · Quick facts
Free trial

14 days, according to the official FAQ and pricing page

Archived research · Research dated 2026-08-19; confirm current termsResearch excerpt · Quick facts

Prompt tracking

LLM Pulse tracks a defined set of customer questions across the AI surfaces included in the selected plan. The FAQ describes prompts such as category, comparison, and product-recommendation queries, with configurable language and locale. A useful prompt panel should include: The Starter plan allows 50 tracked prompts, Growth 150, and Scale 450. These are project-level plan limits, not a measurement of total customer demand.

Archived research context ↗

AI model and surface coverage

The public pricing page lists five core surfaces on every plan: Enterprise can add more models, with the FAQ naming Claude, Copilot, Grok, DeepSeek, and Meta AI as possible additional coverage. Buyers should ask for the current model list, regional availability, sampling method, and whether all model outputs include complete answer text and source links. Do not treat a five-surface monitoring plan as universal AI coverage. It is a defined sample of selected surfaces.

Archived research context ↗

Mention, position, and visibility tracking

The platform describes metrics such as mention rate, AI Visibility Score, position, sentiment, and share of voice. These metrics can help answer: A score is a directional benchmark. It should always be accompanied by prompt definitions, model or surface, date, location, language, denominator, and answer evidence.

Archived research context ↗

Citation source analysis

Citation analysis identifies domains and pages that AI answers reference. This can help a team investigate: A cited URL is evidence that a source appeared in a captured answer. It does not prove that the URL caused the recommendation, that the source was the only evidence used, or that a person clicked it.

Archived research context ↗

Sentiment analysis

LLM Pulse describes sentiment tracking for brand and competitor mentions. Use it to identify recurring wording or themes in a defined sample, such as: AI sentiment is an interpretation of generated answers, not a replacement for customer research or a validated brand-perception survey. Re-run the same prompt panel before concluding that sentiment changed.

Archived research context ↗

A focused evaluation workflow
  1. Create a project for a brand, domain, or client.
  2. Add competitors, markets, locales, and tracked topics.
  3. Select or generate prompts around discovery, comparison, product fit, alternatives, and brand accuracy.
  4. Run the prompt panel across the supported AI surfaces on the selected cadence.
  5. Review mentions, positions, sentiment, share of voice, citations, and competitor movement.
  6. Inspect which domains and URLs support the answer and where the brand has a source gap.
  7. Export or connect the findings to Looker Studio, API, MCP, or internal reporting.

03 / Commercial boundaries

Pricing & limits

Terms below reflect the 2026-08-19 source review, not a new live quote. Confirm currency, billing term, tax and required scope with the provider.

Pricing at a glance

€49/month on monthly Starter billing.

Archived research · Research dated 2026-08-19; confirm current termsResearch excerpt · Overview
Starter

Monthly price: €49 · Projects: 1 · Prompts: 50 · Competitors/project: 5 · Response allowance: 50/week/model · Tracking: Weekly · Notable features: CSV, MCP, recommendations, 3 GEO Writer tasks

Archived research · Research dated 2026-08-19; confirm current termsResearch excerpt · Pricing and plan limits
Growth

Monthly price: €99 · Projects: 2 · Prompts: 150 · Competitors/project: 10 · Response allowance: 150/week/model · Tracking: Weekly · Notable features: Sentiment, AI Traffic Analytics, Agent, 5 GEO Writer tasks

Archived research · Research dated 2026-08-19; confirm current termsResearch excerpt · Pricing and plan limits
Scale

Monthly price: €299 · Projects: 5 · Prompts: 450 · Competitors/project: 15 · Response allowance: 450/week/model · Tracking: Weekly · Notable features: Reputation, GEO Testing, ChatGPT Shopping, custom reports, API, Data Studio, 15 GEO Writer tasks

Archived research · Research dated 2026-08-19; confirm current termsResearch excerpt · Pricing and plan limits
Enterprise

Monthly price: Custom · Projects: Custom · Prompts: Custom · Competitors/project: Unlimited listed · Response allowance: Custom · Tracking: Custom · Notable features: Additional models, white label, SSO, custom integrations, enhanced security

Archived research · Research dated 2026-08-19; confirm current termsResearch excerpt · Pricing and plan limits
Free access & trial

14 days according to the official FAQ and pricing page.

Archived research · Research dated 2026-08-19; confirm current termsResearch excerpt · Overview

Pricing context & qualifications

Prices below reflect the official pricing page checked on August 19, 2026. Prices are EUR monthly unless otherwise stated; VAT and applicable taxes are excluded.

PlanMonthly priceProjectsPromptsCompetitors/projectResponse allowanceTrackingNotable features
Starter€49150550/week/modelWeeklyCSV, MCP, recommendations, 3 GEO Writer tasks
Growth€99215010150/week/modelWeeklySentiment, AI Traffic Analytics, Agent, 5 GEO Writer tasks
Scale€299545015450/week/modelWeeklyReputation, GEO Testing, ChatGPT Shopping, custom reports, API, Data Studio, 15 GEO Writer tasks
EnterpriseCustomCustomCustomUnlimited listedCustomCustomAdditional models, white label, SSO, custom integrations, enhanced security

Annual billing is advertised at a lower monthly equivalent, with the public pricing page listing approximately €41, €83, and €249 per month for Starter, Growth, and Scale respectively when billed annually. Confirm the final checkout amount, tax, currency conversion, cancellation terms, and any agency minimum before purchase.

The public comparison lists unlimited team members. This does not mean unlimited projects, prompts, responses, API calls, or client workspaces.

04 / The tradeoffs

Strengths & weaknesses

Reasons to shortlist

  • Transparent EUR self-serve pricing from €49/month.
  • 14-day free trial publicly advertised.
  • Five important AI search surfaces included across the self-serve tiers.
  • Clear progression from 50 to 150 to 450 tracked prompts.
  • Citation, sentiment, share of voice, and competitor workflows in one product.

Reasons to pause

  • The self-serve prompt limits can become restrictive for multi-brand or multi-market programs.
  • Weekly tracking is the public default; daily cadence may require Enterprise or a custom arrangement.
  • Additional models beyond the five core surfaces are Enterprise-oriented.
  • The pricing table places White Label under Enterprise, while agency pages describe white-label access; contract terms need confirmation.
  • Public security, retention, data-residency, and subprocessors documentation is less visible than the product feature documentation.

The self-serve prompt limits can become restrictive for multi-brand or multi-market programs.

05 / Choose by the job

Alternatives to consider

Editorial fit comparisons—not performance rankings or claims that one option always wins.

Another direction / 01

Otterly.AI ↗

Otterly.AI · Broad self-serve AI visibility monitoring · Strong monitoring and Looker Studio workflow; official docs say no native white label

Another direction / 02

Peec AI ↗

Peec AI · Source-gap and competitor citation analysis · More focused on source intelligence and citation opportunities

Another direction / 03

Profound ↗

Profound · Enterprise answer intelligence · More enterprise-oriented; pricing and procurement are less self-serve

Another direction / 04

AthenaHQ ↗

AthenaHQ · Specialized GEO diagnosis and actions · More action-oriented GEO positioning; verify agency white-label scope

Another direction / 05

GrackerAI ↗

GrackerAI · B2B SaaS and cybersecurity · Narrower vertical focus; Enterprise lists white-label exports and SSO/SAML

06 / What we can substantiate

Reviews & evidence

Independent feedback is limited to the archived sources below. No hands-on test or outcome benchmark was performed as part of this layout migration.

AICiteKit assessment: public-source research, not a hands-on product test. Official materials establish stated scope; reviews are dated and may concern the broader platform. Neither establishes guaranteed citations, traffic or revenue.

Sources & original verification dates

Original review evidence & date context

Preserved from the published research. Dates, review counts and product-scope qualifications below have not been refreshed by this layout migration.

Evidence snapshot

SourcePublic signalWhat it supportsConfidence
G2 LLM Pulse profile5.0/5 from 1 review when checked August 19, 2026A very small user-satisfaction signalLow
Capterra LLM Pulse0 user reviews; product listing and feature descriptionProduct discovery and current listing presenceLow for user experience; medium for listing facts
Capterra methodologyCapterra describes review verification and sponsored-profile disclosureHow to interpret the directory, not product effectivenessMedium
Trakkr independent review4.4/5 editorial assessment based on public pricing, product materials, and feature reviewPractical workflow observations and tradeoffsMedium-low; competitor relationship disclosed
Official pricing€49 Starter, €99 Growth, €299 Scale, custom Enterprise; prompt and feature limitsCommercial terms and plan boundariesHigh
Official agency pageCustom branding/domain, client dashboard, white-label reports, partner programAdvertised agency workflowHigh for claim existence; not independent proof

Recurring positive themes

The independent sample is too small to claim a broad user consensus. The public product materials and the one available independent review suggest potential strengths around:

  • Transparent pricing and a free trial;
  • Strong self-serve coverage of five core AI surfaces;
  • Prompt, citation, sentiment, and competitor workflows in one platform;
  • Agency-oriented multi-project and white-label capabilities;
  • Integrations and exports beyond a closed dashboard.

These are supported fit signals, not proof that users consistently achieve better citations or revenue.

Recurring concerns and tradeoffs

The evidence supports several buyer concerns:

  • A small review sample makes support and usability difficult to generalize.
  • Prompt limits can matter quickly for agencies and multi-market brands.
  • The strongest model breadth, security, and white-label terms are Enterprise-oriented.
  • Weekly tracking may be insufficient for teams that need rapid experiment feedback.
  • Public governance documentation is less detailed than the feature pages.
  • Competitor-authored reviews can be useful for tradeoffs but are not neutral.

How much should buyers trust the evidence?

Trust the published price and plan table provisionally because they are direct, date-checked official evidence. Treat the G2 rating as a low-confidence signal because it is based on one review. Treat Capterra as a listing with no user sample. Treat the Trakkr review as a useful but commercially interested comparison: Trakkr is a competing product, so its favorable or unfavorable comparisons should be independently checked.

There is not enough independent evidence to claim that LLM Pulse reliably improves AI citations, traffic, pipeline, or revenue.

AICiteKit interpretation

LLM Pulse has one of the clearer public agency and self-serve stories in this category. Its strongest evidence is commercial transparency and feature breadth; its weakest evidence is independent user scale and independently verified business outcomes. The white-label capability is explicitly advertised, but buyers should confirm the exact Enterprise or agency contract terms before promising a fully rebranded client portal.

What to verify during a trial or demo

  1. Create a project for one real brand and add a representative prompt panel.
  2. Confirm the exact five AI surfaces and response cadence in your target market.
  3. Open full answer records and check whether cited URLs, positions, dates, and locales are visible.
  4. Compare the platform’s mention and citation counts with a manually reviewed sample.
  5. Test prompt limits, response accounting, historical retention, and export fields.
  6. Connect a non-production analytics property and inspect referral definitions before using AI traffic claims.
  7. Ask for current security, DPA, subprocessors, retention, deletion, and data-residency documentation.
  8. Request a written white-label quote showing custom domain, branding, client permissions, embed mode, report exports, and vendor-brand removal.
  9. Confirm whether white label requires Enterprise, a minimum number of projects, annual billing, or an agency-partner agreement.
  10. Test a client-facing report with an answer capture, cited URL, recommendation, limitation, and agency branding.
  11. Ask what is logged when the LLM Pulse Agent creates prompts, annotations, or GEO Writer tasks.
  12. Rerun the same prompt panel after a bounded change rather than judging the product from one answer.
  • LLM Pulse pricing — official plan prices, prompts, projects, AI surfaces, response allowances, integrations, white-label placement, and trial; checked August 19, 2026.
  • LLM Pulse agency solution — official claims about custom branding, domains, client dashboards, white-label reports, and partner program; checked August 19, 2026.
  • LLM Pulse FAQ — official explanations of models, cadence, metrics, exports, API, analytics, and white-label modes; checked August 19, 2026.
  • LLM Pulse Agent — official description of the conversational agent and project actions; checked August 19, 2026.
  • G2 LLM Pulse profile — 5.0/5 from one review when checked August 19, 2026; low-confidence user evidence.
  • Capterra LLM Pulse listing — listing, feature description, and zero-review state; checked August 19, 2026.
  • Trakkr LLM Pulse review — competitor-authored practical review; used for workflow tradeoffs and explicitly treated as commercially interested evidence; checked August 19, 2026.
  • AICiteKit Otterly.AI review — comparison of monitoring, citation analysis, reporting, and agency limitations.
  • AICiteKit GrackerAI review — comparison of B2B SaaS focus, Enterprise controls, and white-label claims.

This page separates official feature and pricing claims from independent user evidence. It does not claim that LLM Pulse guarantees AI citations, rankings, traffic, pipeline, or revenue.

Research notes & unresolved discrepancies
  • This page reorganizes previously published research. It is not a fresh price check or a hands-on test. Refer to source-specific dates and qualifications in the research context below.

Layout migration: October 4, 2026. The original MDX research is retained in the repository; this reorganization does not refresh its factual verification dates.