Public Intelligence Library

A level — high, moderate or low — assigned by the AAI Kernel delta synthesis to its own reconciliation of two readings: how clearly the recorded statements support the convergences and divergences it reports. It is not a measure of the market or of either model's accuracy.

Last reviewed 3 June 2026

The contested band is the range of positions on a surface where no actor holds a stable lead and ranks shift run to run — distinct from the settled top and the periphery.

Last reviewed 3 June 2026

Deep Narrative Capture records the response of a named AI system or answer product about a market, with its mode or surface identified verbatim. Its governed public reading may select, contextualize and interpret that response without silently changing it; narrative framing remains separate from measured position and scores.

Last reviewed 3 June 2026

DNC Lens publishes governed readings of captured market accounts from named AI systems or answer products, with their modes or surfaces identified. Captured words remain verbatim; narrative representation stays distinct from measured positions and scores.

Last reviewed 3 June 2026

An entity is the actor or source whose identity a reading establishes, such as a brand, operator, platform or institution. A name, a cited domain and an underlying business are not automatically interchangeable identities.

Last reviewed 3 June 2026

Generative engine optimization (GEO) is a market label for practices concerned with visibility in generative AI answers. The label does not establish a standardized method or a proven effect; any claim still needs a defined measure, scope and supporting evidence.

Last reviewed 3 June 2026

An AI answer frames some actors as leaders through observed signals — opening, benchmark framing, citation — on a surface and window. Surface framing is not commercial leadership.

Last reviewed 3 June 2026

A governed composite reading built from multiple observed signals — presence, position, citation behavior, source behavior, authority signals, and surface readings. Defined here as multi-signal; exact weights are not published.

Last reviewed 3 June 2026

The Market Intelligence Board is the governed set of metric cards The Observatory draws from — each card scoped to one market, one surface and one observation window.

Last reviewed 3 June 2026

Public Observatory readings are market-centric. Private client-centric diagnostics are never published and never used as source evidence for public market readings.

Last reviewed 3 June 2026

The separation between public market-level reading, which is published, and private client-level diagnostics, which are never published.

Last reviewed 3 June 2026

Model Watch compares captured market accounts to show both convergence and divergence in actors, roles, subjects or market structure. A comparison may involve one model across modes, different models, or a model and another AI answer product. Each source and its mode or surface are identified.

Last reviewed 3 June 2026

Movers is the desk tracking which actors gain or lose position on a surface between windows — who is rising and who is slipping, with the reason read from the surface.

Last reviewed 3 June 2026

A Deep Narrative Capture reading obtained from a model through its provider API with no web tool enabled, so the answer comes from the model's own training and alignment, not from a live search. A web reading is the same prompt with a web tool enabled. The surface is stated on every card.

Last reviewed 3 June 2026

An Observation is a dated governed record of what was observed within a defined market, surface and scope. When published by The Observatory, its stated basis and window bound what the public record supports.

Last reviewed 3 June 2026

An Observatory Reading is the citable, copy-ready unit on a card: one atomic, scoped and dated claim plus a few supporting facts, signed by The Observatory and emitted identically in the page's structured data.

Last reviewed 3 June 2026

Observed organic coverage is the share of the organic surface an actor holds across the runs in a window — a measured presence rate, not a claim of market leadership.

Last reviewed 3 June 2026

The official layer is The Observatory's governed, measured reading of position, presence and citation on a surface; the narrative layer (Deep Narrative Capture) is the reading of how an actor is framed — role clarity, trust, narrative fragility.

Last reviewed 3 June 2026

The organic surface is the conventional ranked list of links a search engine returns. The Observatory reports who holds it separately from who holds the AI-mediated surfaces above it.

Last reviewed 3 June 2026

Platform capture describes a prominent platform role on an observed surface, such as an organic position, AI opening or citation host. It identifies who occupies attention or reference space around a market; it does not by itself establish that a particular operator was commercially displaced.

Last reviewed 3 June 2026

A Proof Capsule is a prepared public reuse package for an eligible Observatory Reading, carrying the scope, provenance, source, limitations and permitted reuse context needed to cite it faithfully.

Last reviewed 3 June 2026

What an Observatory reading does — and does not — claim. Observed positioning on defined surfaces within a stated scope and window, never business leadership.

Last reviewed 3 June 2026

Every public Observatory reading describes observed positioning on a defined AI or search surface, within a stated scope and time window.

Last reviewed 3 June 2026

A Quick Answer is a concise, self-contained summary of a card, Reference page or Decision Guide. It states the central finding, definition or answer with the qualifications needed to understand and reuse it.

Last reviewed 3 June 2026