Delphi Monitor and AthenaHQ, compared

That is taken from athenahq.ai as it rendered on 5 September 2026. It is worth reading their site rather than ours if you are deciding between the two, and the reason this page states the date is that a positioning line is the first thing a company changes.

Delphi Monitor is narrower. It asks ChatGPT, Google Overview, Gemini, Copilot, Claude, Perplexity and Grok buying questions for your category, works out whether you are the recommendation rather than merely a name in the paragraph, finds the third party pages the assistants cite when they answer, checks the claims they repeat most about you against your own home page, and drafts outreach for the most pressing of those pages it can identify. Whoever runs each page decides whether you appear on it.

• Engine breadth. Their site lists eleven or more, naming ChatGPT, Perplexity, AI Overviews, AI Mode, Gemini, Claude, Copilot, Grok, DeepSeek, Meta AI and Mistral. Delphi measures fewer, and publishes which.
• A free audit they say takes ten minutes. Delphi has no self serve free audit: a measurement you start yourself is part of a paid level, and it puts every question to every assistant several times, which is slower by design.
• Workflow management. They position as end to end GEO workflow with automated content optimisation. Delphi hands over the work and does not manage it.

If you want the widest engine coverage and a single place to run the whole optimisation programme, that is what Athena says it is for.

An assistant does not give the same answer twice. Asked the same question twice, the same assistant returned the same set of brands 21.5 per cent of the time, across 3,116 answers to 188 questions. That figure is published, with its method, and it is why every question is asked several times. The Delphi Index then travels with a range, drawn from how far the assistants disagree about you and from which questions were asked, rather than as a bare number.

So the dashboard and the history page do not call a change in the Index a result unless it is larger than the assistants' disagreement. A change that size cannot be told apart from the measurement moving on its own, and reporting it as a trend is how a team spends a quarter chasing something that did not happen.

Of the 8 vendors in this category whose public pages were checked on 5 September 2026, 7 could be read and 1 refused the crawler outright. Not one of the pages read published a margin of error, and not one published how many prompts a score is built from. That is a statement about what the category publishes rather than about any one product, and it is the single question worth asking whoever you buy from.

The other difference is what arrives. Where a finding names a publisher or review site you are missing from, Delphi writes the pitch: the reason for writing, the questions that site was cited on and how many of them you lost, and the specific offer, with the facts it does not hold left marked as gaps rather than invented. Where it is a retailer, it writes the request to your own account team instead. It will not draft a community post for you to pass off as your own, and that refusal is deliberate: a community thread gets a brief.

If you want the widest engine coverage and a single place to run the whole optimisation programme, that is what Athena says it is for.

Delphi Monitor is for the team that has to explain a number to somebody who will push back on it. It measures fewer assistants than some tools in this category and says which. Its dashboard does not call a movement in the Delphi Index smaller than its margin of error a result.

If you are still choosing, the three questions on the comparison page work on any vendor here, including this one. The tools we could read are set out side by side, each in its own words and with who it suits.