LLM Pulse Review 2026

Key takeaways

• LLM Pulse is a genuinely capable AI visibility platform, not a bare-bones prompt tracker: it covers prompt tracking, citation analysis, sentiment, AI crawler logs, GA4-based traffic attribution, and a GEO Writer, with five AI models (ChatGPT, Perplexity, Gemini, Google AI Mode, AI Overviews) included on every plan.
• Compared to Promptwatch, it falls short on execution: no automated Content Agents that plan, write, and publish to your CMS, no Agent Chat analyst, no prompt volume or difficulty scoring, and only 5 models included versus Promptwatch's 10+ (Claude, Grok, Copilot, DeepSeek and others cost extra or require talking to sales).
• Default tracking cadence is weekly on all self-serve plans. If you need daily tracking, that's "by arrangement" only, which is a real limitation when AI answers shift this fast.
• Pricing is transparent and competitive: $60/mo Starter (50 prompts), $121/mo Growth (150 prompts), $365/mo Scale (450 prompts), with unlimited team seats on every tier.
• The review base is thin. One G2 review, one Capterra review, a handful of Trustpilot ratings. The tool is only about a year old (launched mid-2025), so social proof is still forming.

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What LLM Pulse is

LLM Pulse is a Barcelona-based AI search visibility platform founded in 2025 by Esteve Castells, Daniel Peris, and Adrian Rojas. It's bootstrapped and, according to the company, profitable since day one. That origin story matters here: this isn't a VC-funded land grab, it's a product built by an SEO consultant who couldn't answer client questions about AI visibility and decided to build the tool himself.

The pitch is straightforward. Track what AI says about your brand across the major models, measure the traffic and conversions that visibility drives, then act on prioritized recommendations. The customer list backs up the mid-market-to-enterprise positioning: Adevinta, AutoScout24, ImmoScout24, Salesforce, Metricool, Voicemod, Nuvemshop.

Core features

Prompt tracking and citations

The foundation is prompt tracking with weekly runs across five included models. You get visibility scores, share of voice, mention and citation tracking, and the verbatim text of AI responses, so you can see exactly how ChatGPT or Gemini framed your brand, not just that you appeared. Prompt Research helps you find questions where you're invisible and convert them into tracked prompts. Competitor benchmarking supports 10 to 25 competitors per project.

Agent Analytics (AI crawler logs)

This is where LLM Pulse separates itself from the Otterly.AI tier of prompt trackers. Agent Analytics logs which AI bots (GPTBot, ClaudeBot, PerplexityBot, and others) crawl your site and which pages they hit, with integrations for Cloudflare, AWS CloudFront, Fastly, Vercel, Netlify, and Akamai. If you've ever wondered why a page never gets cited, crawler logs are usually the answer.

AI Traffic Analytics

Connect GA4 via OAuth and LLM Pulse shows the actual sessions and conversions coming from ChatGPT, Perplexity, and Gemini, syncing every six hours with up to 395 days of history. It's available from the Growth plan. One caveat: other analytics providers (Plausible, PostHog, Adobe Analytics, and so on) are listed as "requestable" rather than built, so GA4 is effectively the only live path today.

Reputation and sentiment

The reputation module scores your brand 0 to 100 across seven dimensions, compares how each model perceives you, and benchmarks against competitors in a shareable report. Sentiment tracking catches negative framing before it spreads. This is the part of the product that feels most distinct from pure GEO tools, and for brand teams it's arguably the headline feature.

GEO Writer and recommendations

LLM Pulse turns visibility gaps into content recommendations and briefs via its GEO Writer. It's a useful layer, but it stops at recommendations and briefs. There's no automated publishing pipeline to Webflow, Framer, or WordPress, and no agentic workflow that writes and ships content on a schedule. You'll take the brief and do the work elsewhere.

ChatGPT Ads tracking

A newer addition, and a smart one: LLM Pulse captures sponsored placements in ChatGPT answers on your tracked prompts, showing the advertiser, creative, and position, matched against your brand and competitors. There's also a public ChatGPT Ads Library you can browse for free. Their August 2026 data named Capterra, Expedia, and Top10.com among the top advertisers by share.

Tremor

A free public tool worth knowing about even if you never buy LLM Pulse: a weekly "AI search volatility" index scored 0 to 10 per model, based on citation churn, mention churn, and sentiment variation. Think Mozcast for AI search. It's updated every Tuesday and is a legitimately nice contribution to the industry.

Pricing

Starter runs $60/mo (1 project, 50 prompts), Growth $121/mo (2 projects, 150 prompts, adds sentiment, Reddit/YouTube owned-media tracking, AI Traffic Analytics), and Scale $365/mo (5 projects, 450 prompts, adds ChatGPT Shopping, ads tracking, API, Looker Studio, CLI). Annual billing gives you two months free. Above that, Scale+ through Partner++ tiers scale to 10,000 prompts and 35 projects, and Enterprise adds white-label, SSO, and custom integrations.

Two pricing irritations. First, extra models (Claude, Grok, Copilot, DeepSeek, Meta AI, Alexa for Shopping) are add-ons from $13/mo per model, and the eligibility rules are inconsistent between the pricing page and the help center, so confirm before buying. Second, weekly tracking is the default everywhere; daily costs more or requires a conversation.

Unlimited team seats on every plan is a genuinely generous touch that most competitors don't match.

Strengths and limitations

Strengths

• Crawler logs plus traffic attribution plus sentiment in one platform, at prices that undercut most rivals with comparable depth
• Transparent self-serve EUR/USD pricing with unlimited seats
• Strong reputation and brand-perception tooling that pure SEO-focused platforms often ignore
• Open platform: MCP server on every plan, REST API, Python SDK, CLI, Zapier, n8n, webhooks
• The free Tremor volatility tracker and public ChatGPT Ads Library show a team contributing to the ecosystem, not just extracting from it

Limitations versus Promptwatch

• No automated content execution. Promptwatch's Content Agents plan, write, and publish GEO-optimized content directly to Webflow, Framer, or WordPress on a schedule you control. LLM Pulse's GEO Writer produces briefs; the doing is on you.
• No prompt volume or difficulty scoring. Promptwatch provides monthly search volumes, difficulty scores, and citation rates per prompt, plus query fan-outs showing how AI expands a prompt into sub-queries. LLM Pulse tracks prompts but doesn't give you the demand-side data to prioritize them by opportunity size.
• Thinner model coverage by default. Five models included versus Promptwatch's 10+ (including Claude, Grok, DeepSeek, Copilot, Mistral, Meta Llama, and AI coding assistants like Claude Code), all included in the plan price rather than billed per model.
• No Agent Chat equivalent, no conversational analyst over your live data, and no offsite mention tracking that catches your brand being named inside third-party pages AI cites.
• Weekly default cadence, versus daily tracking options elsewhere.
• The review corpus is nearly empty: one G2 review, one Capterra review, a small Trustpilot sample. The product may well deserve better, but buyers have almost no independent signal to go on.

Who it's for

Brand and reputation teams at mid-market companies who care as much about how AI talks about them as how often. Budget-conscious agencies that want white-label client portals and unlimited seats without enterprise pricing. And anyone already living in GA4 who wants to connect AI visibility to actual conversions.

It's a weaker fit if you need daily tracking, if you want a platform that not only finds gaps but closes them with automated content production, or if you need deep prompt intelligence (volumes, difficulty, fan-outs) to build a prioritized roadmap.

Bottom line

LLM Pulse is one of the more complete monitoring platforms in this category, and its pricing is honest. The reputation module, crawler logs, and GA4 traffic attribution put it well above simple prompt trackers, and the free Tremor tool suggests a team thinking about the field, not just their funnel. But it remains a monitoring-and-recommendations product. If you want a platform whose agents actually close the loop, writing and publishing optimized content, scoring prompts by volume and difficulty, and covering 10+ models without per-model add-ons, Promptwatch is the stronger choice. For teams whose priority is brand perception reporting at a lower price point, LLM Pulse is a solid, fairly priced option worth trialing.