Entity intelligence datasets

A single, dated read of how AI sees an entity right now — AI Visibility, Sentiment, Share of Voice, surface breakdown and derived insights. £19 one-off, or on cadence from Starter.

For: Founders, marketing and PR teams

Every change AI makes in its picture of an entity — score movements, cross-surface divergence, lifecycle transitions and early-warning spikes — dated, cause-attributed and cited. Watch/Starter+ with subscription alerts.

For: Crisis, comms and monitoring teams

The long-form due-diligence report: registry footprint, sanctions screening, 90 days of drift, Trust Stack composite, cross-surface consensus and risk indicators — every claim auditable. £199–£499 per report, or unlimited on Pro Plus+.

For: Due-diligence, M&A, investor and legal teams

The named, free-tier grounding payload for agents and RAG pipelines: one small, deterministic per-entity packet — verified facts with per-fact provenance, corrections to claims AI engines commonly get wrong, and Ed25519-signed provenance. Fetch it at the top of every workflow that answers about an entity; ?format=grounding-metadata returns a groundingChunks/groundingSupports projection for pipelines built against Vertex grounding shapes. Grounding, not enrichment.

For: Agent, RAG and AI-application developers

Per-engine LLM Knowledge Accuracy — an accuracy percentage with a 95% Wilson interval, plus the exact fields each engine gets wrong or is unaware of. Paired with Information Lag (how long an engine takes to adopt a published correction), per-claim Claim Truth verdicts, cross-engine Consensus/Divergence, and the signed Entity Knowledge Statement.

For: Brand risk, PR, comms and legal teams

Scored statement verification against the signed verified record: POST a statement about an entity and get coded verdicts — supported, contradicted, or unverifiable — with confidence and citations per assertion. Deterministic (no model judges the verdict); granularity differences count as supported and out-of-record assertions come back unverifiable, never guessed. Free tier, rate-limited — the guardrail hook for agent and RAG pipelines.

For: Agent, RAG and guardrail engineering teams

What Google AI Overviews and Google AI Mode actually say about an entity — the recorded answer with mention and position, sentiment and competitor mentions, plus every citation those answers lean on (source, domain, URL and quoted text) and an own-domain-cited flag per answer.

For: GEO, search and brand teams

AI Visibility, Sentiment and Share of Voice with full score history and drift events — the headline signals for tracking how an entity is described and recommended across AI engines over time.

For: Marketing and GEO teams

Per-prompt-class breakdown of how likely AI engines are to recommend the entity. Projects stored Decision Survival probes onto a canonical prompt-class taxonomy (Discovery, Evaluation under pushback, Constrained final choice; plus five framework-declared classes not yet probed), returning per-engine recommendation rates and 95% Wilson intervals per class, plus the strongest and weakest classes for the entity.

For: GEO, brand and category-marketing teams

Cohort rank, deltas against the cohort median, and full cohort rankings — how an entity compares to its cohort on AI Visibility, Sentiment and Share of Voice.

For: Agencies and competitive-intelligence teams

Person entities with Conflation detection — whether AI engines are mixing an individual up with someone else of a similar name — alongside sentiment and drift for the individual record.

For: Executive reputation and online reputation management teams

Creator Resolution — any name or a single profile link resolved to the canonical creator with every cross-verified handle and a signed record — plus YouTube and podcast intelligence for creator and media entities.

For: Creator platforms, talent agencies and developers

The whole entity record in one call: identity, categorisation, headline scores, relationships, lifecycle stage and AI Ecosystem read. The single canonical projection every other dataset module is derived from — also exposed as MCP tools for AI agents.

For: Developers and AI agents

A live listing and quote for public-company entities, plus legal-entity registry footprint (GLEIF LEI) for organisation-eligible entities.

For: Investor relations, finance and due-diligence teams

How each of ChatGPT, Claude, Gemini, Perplexity and Grok mentions, recommends, cites and positions an entity, plus a cross-engine coherence read — where the engines agree, where they diverge, and why.

For: GEO strategists