When an AI assistant describes your business, is the answer accurate, current, and yours?
Customers, journalists and partners increasingly get their first impression from an AI answer, shaped by sources you may not know exist. Eidoscore shows how assistants describe your business, catches misinformation and hostile framing early in public channels, and turns weak or outdated citations into a concrete fix list.
Why this lands differently here.
The first description of your business that a customer, journalist or prospective partner reads is increasingly not written by you. It is assembled by an assistant from reviews, forum threads, old coverage and whatever else the model has indexed.
That matters most where the purchase is considered rather than impulsive. Someone evaluating a supplier, a clinic, a school or a financial product does the research first, and a single confidently-stated inaccuracy in that answer removes you from the shortlist without a conversation.
Product claims travel through communities faster than they travel through press. A specific, checkable falsehood — about safety, pricing, ownership or a recall — can circulate for days in forums before anyone in your organisation is aware of it, and assistants pick up what circulates.
A false product claim circulates over a weekend, gets absorbed into the assistants' answer by midweek, and you find out from a customer asking whether it is true.
What teams use it for.
Concrete work, not a dashboard tour. Each job produces something a person can review, decide on and send.
Track how assistants describe your products, your leadership and your record, with ranges and evidence
Early warning when false claims or hostile framing start moving in public communities
Citation gaps: which sources AI relies on about you, which are outdated, and what to fix first
What we monitor for you.
The same engine, pointed at the signals that matter in your work rather than a generic mention feed.
Brand description
How assistants summarise your products, leadership and history, measured over repeated runs with ranges rather than a single score.
Claim tracking
Specific, checkable assertions about your business circulating in public communities, clustered and scored for spread and harm.
Competitive positioning
Whether assistants recommend you, omit you, or lead with a competitor when asked the questions your buyers actually ask.
Citation repair
Which sources shape the answer about you, which are outdated or weak, and a prioritised list of what to fix first.
A concrete example.
A false product claim starts circulating in public communities on a Friday evening. Eidoscore flags it with evidence before it reaches your official channels, and shows whether AI assistants have started repeating it. Your team receives a reviewed alert with a suggested response held for approval.
Questions we hear from reputation-sensitive brands.
How is this different from social listening?
Listening tools count mentions. Eidoscore reads context, clusters mentions into narratives, and joins them to what AI assistants answer about you.
Do you publish on our behalf?
No. Eidoscore drafts, recommends and routes. A named person on your side approves anything before it goes anywhere.
Are there sector restrictions?
Public sources and EU hosting by default. Regulated-sector requirements are reviewed at onboarding.
What the weekly brief contains.
One reviewed document a week. Ten minutes to read, every claim linked back to its source.
EU-hosted. Public sources only. Topics and narratives, not individuals. Every action human-reviewed.