
LLM Pulse
AI search and GEO visibility platform
About LLM Pulse
LLM Pulse measures something that did not need measuring three years ago: whether AI models mention your brand. As people increasingly ask ChatGPT, Claude, Perplexity and Google's AI answers for recommendations rather than typing a query and scanning ten blue links, the question of what those models say about you becomes a marketing problem with no established tooling. LLM Pulse calls itself an all-in-one AI search and GEO platform, GEO being generative engine optimisation, the awkward but useful name for this work.
The mechanism is straightforward and is the reason to trust it more than generic advice. It runs a set of prompts against the major models on a schedule, weekly or daily depending on your plan, and records what comes back. From those actual responses it derives your visibility, which competitors get named alongside or instead of you, which sources the models cite when they answer, and what sentiment attaches to your brand when it does appear.
That last point is the substantive difference from most SEO tooling. Recommendations come from observed model output rather than from a general theory of what AI systems supposedly reward. If a model recommends three competitors and not you when asked about your category, that is a fact about the world, and it is measurable in a way that "optimise for AI" advice is not.
The category is young enough that the tooling is still being invented, which cuts both ways: there is real value in being early, and there is no established benchmark for whether any of these platforms measure the right things.
You define the prompts that matter to your business. These are the questions a potential customer would actually ask a model, phrased the way they would ask them, rather than the keywords you would have targeted in search.
LLM Pulse runs those prompts against the major AI models on a schedule. Weekly is the standard cadence, with daily available on higher tiers, and the repetition is the point: a single answer is anecdote, a trend line is data.
Responses are then analysed along several axes. Whether you were mentioned, which competitors appeared, what sources the model cited, and whether the mention was positive, neutral or negative.
From that it produces recommendations grounded in the responses it collected rather than in generic guidance, and the trend over time tells you whether anything you changed had an effect.
- •Scheduled prompt monitoring - the same prompts run repeatedly against major models, turning one-off answers into a measurable trend.
- •Brand visibility tracking - whether you appear at all when someone asks a model about your category, which is the first-order question.
- •Competitive positioning - which rivals get named alongside or instead of you, which is often more actionable than your own score.
- •Citation analysis - which sources models draw on when answering, and therefore where earning a mention would actually change the output.
- •Sentiment analysis - not just whether you are mentioned but how, since a hedged mention and a recommendation are different outcomes.
- •Weekly or daily cadence - daily on higher tiers, for categories where the answers move quickly.
Marketing teams at companies whose customers research before buying will get the most from this. If people ask an AI model which tool to use in your category, you have a stake in the answer whether you measure it or not.
SEO and content teams are the natural owners. This is an extension of the work they already do, and the citation analysis in particular tells them which placements are worth pursuing.
Agencies managing several clients get leverage from the higher tiers, since the same monitoring applies across a portfolio.
It is not for you if your customers do not research this way, or if you have no content presence to optimise. Measuring your AI visibility is only useful if you intend to act on it, and acting on it means publishing things models will cite. Note also that pricing is in euros, so budget in your own currency accordingly.
Pricing
Priced in another currency
Priced in euros, from 49 euros a month. Five standard tiers (Starter, Growth, Scale, Scale+, Scale++) plus Enterprise, each available in weekly or daily monitoring. A 14 day free trial covers the weekly Starter, Growth and Scale plans.
From the vendor pricing page, 2026-10-08

















