As search transitions from blue links to generated answers, traditional SEO is no longer enough. Delphi Monitor is a premier B2B SaaS platform that enables brands to track, measure and optimise their visibility across the world's top five LLMs.
When a customer asks a model which vendor to choose, there is no results page to optimise. There is a paragraph, and either your brand is in it, framed the way you intended, or it is not.
That paragraph is assembled from training data, retrieval and whatever the model believes to be true about you. None of it is visible in your analytics. None of it is covered by rank tracking. And unlike a search result, a wrong answer does not sit at position eleven. It sits in the only answer the customer ever reads.
Delphi Monitor exists because you cannot manage what you have never been able to see.
You do not know which questions surface your brand, which surface a competitor, and which surface nobody at all.
Even when you are mentioned, the adjectives attached to you were chosen by a model, not by your brand team.
Models state outdated pricing, discontinued products and invented policies with total fluency and no citation.
Capability 01
Understand exactly how generative engines synthesise your brand narrative. Delphi Monitor observes how each model answers the questions that matter to your category: what it says, who it credits, and where you sit relative to the brands you compete with.
Capability 02
Actionable insight to correct LLM hallucinations and secure placement in AI-generated responses. Measurement on its own is a report. Delphi Monitor closes the loop by telling you which specific corrections are likely to move which specific answers.
We start from the prompts your customers actually type: category questions, comparison questions, and the awkward ones your sales team hears on every call.
Those questions are run against the leading generative engines on an ongoing basis, and the answers are captured, structured and scored rather than skimmed.
Presence is only the first metric. We score how you are characterised, what is asserted about you, and which sources the model leaned on to say it.
You get a prioritised list of interventions, and the same measurement running afterwards, so a change in the answer is something you can evidence, not assert.
Teams accountable for how the brand is described, now that the describing is being done by a model.
Teams watching organic discovery shift into a channel their existing rank tooling cannot see.
Practitioners who need a defensible answer to "what is our strategy for AI search?" before the board asks.
Partners who need to show clients something measurable in a category that is currently full of speculation.
Enterprise demos include a live read of your own brand across the engines we track, so the first thing you see is your own data, not a sample account.