# LLM Pulse — AI search visibility and reputation tracking across the widest named-engine list in this directory, from €49/month.

> Source: CitedIndex — https://citedindex.com/llm-pulse (structured, researched, re-verified)
> Facts last verified: 2026-07-24

LLM Pulse is an AI search visibility and reputation platform founded by Esteve Castells, Daniel Peris Molina and Adrian Rojas, launched in July 2025 after Castells (an SEO/GEO consultant) and Peris (a 15-year growth and SaaS-scaling founder) teamed up with developer Rojas. The product is 100% bootstrapped and profitable since its first customer, reporting over 100 paying customers by December 2025. It tracks brand mentions, citations and sentiment across more named AI engines than any other tool in this directory, ChatGPT, Perplexity, Google AI Mode, Google AI Overviews, Gemini, Grok, Claude, Copilot, Meta AI, DeepSeek, Qwen, MiniMax, Mistral and Amazon Rufus, with plans starting at €49/month.

| Fact | Value |
| --- | --- |
| Website | https://llmpulse.ai |
| API | Yes |
| Best for | global or multi-market brands |
| Not for | buyers who weigh independent review volume heavily, LLM Pulse's Trustpilot (4 reviews) and G2 (1 review) counts are thin relative to its own marketing claims |

## Verdict

LLM Pulse's real differentiator is breadth: 14 named AI engines, including several (Grok, DeepSeek, Qwen, MiniMax, Mistral, Amazon Rufus) that most competing trackers in this directory don't cover at all, plus a CLI and REST API sharing one key. Its bootstrapped, profitable-from-day-one story is genuine and well-documented. But its independent review record, 4 Trustpilot reviews, 1 G2 review, undercuts its own “5,000+ users” framing, and entry-tier prompt allowances are modest next to similarly-priced rivals like GeoRankers. It's the strongest pick here for a brand that specifically needs long-tail engine coverage; a buyer who mainly cares about ChatGPT/Perplexity/Gemini and wants a heavily-reviewed vendor should compare it against AthenaHQ or Otterly AI first.

## How it works

1. Connect a brand and define the prompts or topics to monitor across the 14 named engines LLM Pulse tracks.
2. LLM Pulse periodically queries each selected engine, logging whether, how and in what sentiment the brand is mentioned, alongside which named competitors surface instead.
3. A citation-analysis module identifies which web sources the engines cite, and a traffic-measurement feature connects to the brand's own analytics to correlate AI-engine mentions with actual referred visits and sales.
4. Pull the same data through the LLM Pulse CLI or REST API, or ask the in-app 'LLM Pulse Agent' copilot ad hoc questions about the account's own visibility data.

## Who it's for

- Global or multi-market brands that need visibility tracking across a long tail of AI engines — Grok, DeepSeek, Qwen, MiniMax, Mistral, Amazon Rufus — that most competing trackers don't cover at all.
- Developers who want to script visibility checks through a CLI (npm/pnpm/yarn/Bun) and REST API sharing one key, rather than reading results by hand.
- E-commerce teams that want to know whether their products surface in ChatGPT's shopping-recommendation answers, not just whether the brand is named.

## Strengths and weaknesses

- ✓ Tracks 14 named AI engines, the widest coverage of any tool in this directory, including Grok, DeepSeek, Qwen, MiniMax, Mistral and Amazon Rufus alongside the usual ChatGPT/Perplexity/Gemini core.
- ✓ Ships a documented CLI (npm/pnpm/yarn/Bun) and REST API on the same account API key, not a dashboard-only tool.
- ✓ Bootstrapped by three named co-founders and profitable since its first customer, with over 100 paying customers by December 2025, real, checkable operator transparency.
- ✓ Five pricing tiers scale from €49 (solo) to €1,199/month (agency-scale, 2,400 prompts), rather than forcing an early jump to custom/sales-gated pricing.
- ✗ LLM Pulse's own materials describe “5/5 ratings on both Google and Trustpilot,” but the actual Trustpilot page shows a 4-star rating from 4 reviews at verification time, a real discrepancy between the marketing claim and the public review record.
- ✗ G2 shows only 1 review (5.0) despite the company's own claim of “5,000+ users worldwide”, thin independent verification relative to the marketing claim.
- ✗ Entry-tier prompt allowance is modest (50 tracked prompts on the €49 Starter plan) next to GeoRankers' 450+ AI-answer checks at a comparable price point.
- ✗ Pricing is set in EUR, which converts awkwardly against USD-quoted competitors for teams billing in dollars.
- ⚠ The site does not state which tiers include full CLI/API access versus a possible rate limit tied to the account's prompt allowance.

## Key features

- **Widest tracked-engine list in this directory** — 14 named AI engines: ChatGPT, Perplexity, Google AI Mode, Google AI Overviews, Gemini, Grok, Claude, Copilot, Meta AI, DeepSeek, Qwen, MiniMax, Mistral and Amazon Rufus.
- **CLI + documented REST API** — A terminal CLI (npm/pnpm/yarn/Bun) and REST API share one API key, for pulling visibility data into an existing workflow.
- **LLM Pulse Agent copilot** — An in-app AI copilot that answers questions about the account's own visibility data and can pull metrics or compare competitors.
- **Bot/crawler analytics** — Tracks AI crawler activity (GPTBot, PerplexityBot, etc.) against the site's own server logs.
- **Shopping tracking** — Checks whether and how a brand's products surface in ChatGPT's product-recommendation answers.
- **Traffic + sentiment measurement** — Connects to the brand's own analytics to correlate AI-engine mentions with referred visits and sales, and tracks sentiment over time.

## Use cases

- **Global brand baseline across a long tail of engines** — A multi-market brand checks visibility not just on ChatGPT/Perplexity but on Grok, DeepSeek, Qwen and Mistral, where most competing trackers offer no coverage at all.
- **Developer-integrated reporting** — A developer pulls weekly visibility reports via the LLM Pulse CLI into an existing CI/reporting pipeline instead of checking the dashboard by hand.
- **E-commerce shopping-recommendation check** — An online retailer uses shopping tracking to see whether its products are being recommended when shoppers ask ChatGPT for buying advice in its category.

## Sources

- https://llmpulse.ai/
- https://llmpulse.ai/features/cli
- https://llmpulse.ai/about
- https://www.trustpilot.com/review/llmpulse.ai
- https://www.g2.com/sellers/llm-pulse