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LLM Pulse

LLM Pulse Review: Practical GEO Reporting for Small Agencies

For small agencies and marketing teams tracking how brands appear in AI answers across prompts, competitors and cited sources.

$117/month Growth for a second brand or clientPlans from $58/month14-day free trialNo free planIndependent marketing software review
Updated 2026-09-15Data from Buddy's database
Joonas Rotko

Joonas Rotko · Founder, That Marketing Buddy

I assess marketing software through 10+ years of agency work, current product research, buyer needs, competing tools and total cost.

Independent marketing software reviewUpdated 2026-09-15
How this review was prepared

I researched LLM Pulse's current public product, pricing and technical documentation on 2026-09-15. I have not treated vendor claims as hands-on results, and I have not invented performance from features I have not personally tested.

This page may include affiliate links, meaning I may earn a commission if you sign up (at no extra cost to you).

LLM Pulse homepage showing its current product positioning
LLM Pulse's public homepage, captured 2026-09-15.

The Verdict

Is LLM Pulse right for you?

LLM Pulse gives small teams a focused way to turn AI visibility into a recurring measurement and reporting process.

Starter includes 50 prompts and one project at $58/month. Growth raises that to 150 prompts and two projects for $117, while Scale provides 450 prompts and five projects for $352.

The project limits make Growth the first practical agency tier, but a growing client roster needs a careful cost-per-project model.

Who It's For

Who LLM Pulse is for (and who it isn't)

✓ Best for

  • +
    Small agencies launching GEO retainers. Prompt, competitor and citation reporting can anchor a repeatable client conversation.
  • +
    Marketing teams monitoring one or two brands. Starter and Growth align with narrow portfolios rather than huge account rosters.
  • +
    Teams that need evidence before execution. Tracking can reveal which prompts, sources and competitors deserve deeper work.

× Consider something else if

  • −
    The team wants tracking and content execution together. Consider it when AI visibility, audits and article production should live in one product.Try Writesonic →
  • −
    Custom content workflows matter more than reporting. Consider it when the team needs configurable production and refresh workflows around its own process.Try AirOps →
  • −
    Conversation-level analysis is the priority. Consider it when specialist teams need deeper prompt and conversation diagnostics.Try Aiso →

What You Can Do

What can LLM Pulse do?

Define a buyer-question prompt set

Track prompts that represent real evaluation, category and problem questions. Avoid a large vanity list with no owner.

Benchmark brands and cited sources

Compare mention share, sentiment and citations over time, then inspect the answers behind the aggregate score.

Turn gaps into actions

Map weak topics to pages, evidence or third-party sources the team can realistically improve.

Report changes with context

Explain platform volatility, sample size and what the team changed. Do not present every movement as a causal win.

Works With

Which website platforms does LLM Pulse work with?

Tracks AI answers by prompt; it does not need to connect to your website.

LLM Pulse also has official integrations with:

  • Shopify
How each connection works (1)›
  • Shopify

    App store listing · Shopify admin app shows AI visibility per product and can write page edits back. Source

Checked against LLM Pulse's own docs and official app stores on 22 October 2026.

AI, API & MCP

How LLM Pulse uses AI and automation

LLM Pulse's MCP server gives an agent close to 90 tools for reading AI-visibility metrics, adding competitors, and requesting technical audits, on every plan including the trial.

AI agent workflow

Visibility check plus audit request in one pass

An agent can read a brand's current AI-visibility metrics, draft a new tracking prompt, add a competitor, and request a technical audit within a single conversation. Write actions like regenerating recommendations or launching an audit return a preview first rather than executing immediately.

Approval boundary: A human should confirm before an audit launch or recommendation regeneration actually executes, since those actions consume billed credits and the vendor already builds a preview-then-confirm step in ahead of them.

MCP

official

OAuth MCP with a separate write scope

LLM Pulse runs a live, official MCP server at api.llmpulse.ai/api/v1/mcp using OAuth 2.1, with a distinct write scope so read-only connections can't make changes. It's available on every plan including the 14-day free trial, though features like Agent Analytics and AI traffic querying still require a Scale-tier plan or higher.

LLM Pulse MCP documentation →

API

official

REST API with separate read and write rate limits

LLM Pulse's REST API covers projects, metrics, competitors, prompts, answers, and citations, authenticated with a bearer API key. Reads are capped at 300 requests per minute per key, writes at 60 per minute, and some features like Search Console integration need a Growth plan or higher.

LLM Pulse API documentation →

Pricing

How much does LLM Pulse cost?

The published entry plan starts at $58/month. For this review's professional buyer, the practical starting point is $117/month before users and add-ons. No free plan, but there’s a 14-day free trial.

PlanMonthly
Starter$58/mo
GrowthPopular$117/mo
Scale$352/mo
EnterpriseCustom

Monthly pricing is $58 for Starter, $117 for Growth and $352 for Scale. Annual billing lowers the effective monthly rates to about $48, $97 and $293, billed as $577, $1,165 and $3,518 per year. Prompt and project limits are the main capacity boundaries.

Projects constrain agencies first

Growth supports two projects and Scale five, so model the client roster before committing annually.

Prompt quality beats prompt volume

A smaller set tied to buyer questions is more useful than filling the allowance with vague queries.

Annual savings reduce flexibility

Validate reporting value and client retention before paying for a year.

Alternatives

When I'd choose something else

Three different buying priorities, and what I'd pick instead for each one.

Best direct alternative

Writesonic logo

Writesonic

Choose Writesonic when AI visibility, audits and article production should live in one product.

Trade-off: It is substantially broader and more expensive than focused monitoring.

Explore Writesonic for this use case →

Best for a different workflow

AirOps logo

AirOps

Choose AirOps when the team needs configurable production and refresh workflows around its own process.

Trade-off: Public pricing is less transparent and setup is heavier.

Explore AirOps for this use case →

Best if the scope is wrong

Aiso logo

Aiso

Choose Aiso when specialist teams need deeper prompt and conversation diagnostics.

Trade-off: Its jump from Starter to Pro is steep.

Explore Aiso for this use case →
See the full LLM Pulse alternatives shortlist →

Keep going

Downsides

Limitations to consider before subscribing

!

Project capacity gets expensive

The move from two to five projects raises the subscription sharply.

!

Tracking does not execute the strategy

Teams still need content, technical and authority work outside the dashboard.

!

AI answers remain volatile

Reports need sample and platform context to avoid false certainty.

My Recommendation

My recommendation for LLM Pulse

Shortlist LLM Pulse when a small team needs clear GEO tracking and can turn prompt and citation findings into owned actions.

Choose a broader execution platform when content production or optimisation matters more than focused monitoring.

What to check during the trial

  • –Define 25 real buyer prompts
  • –Add direct competitors
  • –Inspect cited sources manually
  • –Draft one client report
  • –Model cost across the intended project roster
Try LLM Pulse

FAQ

Frequently asked questions about LLM Pulse

Growth is the first practical agency tier because it supports two projects and 150 prompts. Scale is needed for up to five projects.

No. It supplies AI-visibility evidence; the team still needs a process and tools to improve content, technical quality and authority.

It provides an authenticated MCP endpoint. Verify its available tools and project permissions before connecting client data.

Sources & References (3)
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