Know what AI is telling people about your organisation.
Eidoscore monitors how ChatGPT, Gemini, Claude and Perplexity describe you, and the public Telegram and community conversations shaping those answers. Read for meaning, reviewed by analysts, hosted in the EU. Built for political organisations, NGOs and public-affairs teams.
Narrative intelligence
Coordinated framing on EU policy position
Policy lead asking who covers EU narrative analysis
Your website looks fine.
The internet may disagree.
AI assistants pull from a curated set of sources. Communities like Reddit and Telegram are where narratives form. Owned analytics shows none of it. Publishing into channels you don’t monitor is, operationally and commercially, a blind spot.
Owned-channel blindness
Website analytics measures activity on your properties, not how you’re understood on Reddit, Telegram or inside an AI answer.
AI visibility gap
Assistants may skip your brand, describe it vaguely, cite weak sources, or recommend competitors first.
Narrative and misinformation risk
Hostile framing and false claims can spread for days before they reach your official channels.
Monitor. Understand. Act, with a person in the loop.
Four layers, one workflow. The contextual analysis layer is where the value sits. The product can draft, recommend and route, but it does not publish on its own.
- 01
Collect
One connector per channel. Telegram, Reddit, AI answer engines, web and news in phase one.
- 02
Contextualise
A language model classifies each item for topic, stance, type, weight and early-narrative signal.
- 03
Cluster
Related mentions become narratives, scored for risk, confidence, urgency and opportunity.
- 04
Act
Alerts route to the review channel. A reviewer approves, rejects or escalates. Approved replies flow to publishing.
Source conversations and AI answers, joined.
The market splits in two: output-focused tools tell you what an AI assistant said about you, and listening tools count mentions. Eidoscore joins the two, kept EU-hosted and read for meaning.
Output-focused tools measure what AI assistants say. Listening tools count mentions. Eidoscore joins the source conversations to the AI answers they shape, with guided action.
Context over counts
Distinguish serious discussion, irony, hostile framing, support, reviews, misinformation and lead signals, with evidence attached.
Sources behind the answers
Identify what AI models cite, what they miss, and turn citation gaps into concrete content and outreach tasks.
Human-approved actions
Nothing is published automatically. Drafts go to a review channel, with an audit trail for every decision.
EU-hosted by default
EU-hosted infrastructure, GDPR-aligned retention rules, built on open-source components.
Teams whose reputation is made in public.
From leadership briefings to community response. The same intelligence supports internal decisions and packaged client work.
Political organisations
Topic, opponent and community intelligence across campaigns and constituencies.
NGOs and advocacy
Track narratives, detect framing shifts, surface partner and donor opportunities.
Public-affairs teams
See how policy positions are described in AI answers and discussed in communities.
Reputation-sensitive brands
Catch misinformation early. Improve how AI assistants describe you.
Agencies
Run multiple client workspaces from one platform with reviewer roles.
Leadership and comms
Weekly intelligence briefs with evidence, scores and recommended action.
Pilots are open for a small group of design partners.
We work directly with the first cohort to define topics, calibrate context models and shape the report your team will actually read.