What is the Milo Visibility Score?

The Milo Visibility Score is a 0–100 index that aggregates four signal dimensions: narrative presence, thematic consistency, sentiment alignment, and recommendation presence. It measures how clearly and consistently an entity appears in AI-generated content across ChatGPT, Gemini, and Claude.

How does Milo Says measure AI sentiment?

Sentiment is derived from observed framing in AI outputs across multiple models. Positive sentiment indicates favourable framing, neutral indicates descriptive outputs, mixed shows both positive and critical framing, and critical indicates predominantly negative framing. Sentiment reflects AI model responses only — not reviews, social media, or press.

What are Narrative Themes?

Narrative Themes are clustered tags derived from recurring language patterns in observed AI outputs. They surface from consistent topic associations found across multiple prompt variations and evolve as AI outputs change.

Which AI platforms does Milo Says monitor?

Milo Says monitors ChatGPT, Gemini, and Claude — three major AI platforms with live API access.

Methodology

Q: What is Recommendation Presence?

Recommendation Presence measures how often an entity is directly recommended, included in 'best of' lists, or named as an example in AI response contexts. It ranges from Prominent (regularly foregrounded) to Rare (near-absence from recommendation outputs).

How Milo Says measures, scores, and interprets AI narrative signals across entities using observations from ChatGPT, Gemini, and Claude.

Core Principle

Milo Says is an observatory, not a generator. All signals are derived from observing and analysing AI-generated outputs across ChatGPT, Gemini, and Claude. Milo Says does not create, influence, or submit content to AI models. Data reflects what AI says — not what brands or individuals want AI to say.

Score Bands

80–100

Leading

Consistently dominant AI narrative presence with strong positive framing and high recommendation frequency.

60–79

Strong

Well-established AI narrative. Appears regularly with positive or neutral framing across multiple AI contexts.

40–59

Established

Moderate AI narrative presence. Entity is recognised but coverage is inconsistent or thematically limited.

20–39

Developing

Limited AI narrative. Entity appears occasionally with shallow or fragmented thematic framing.

0–19

Weak

Minimal or no meaningful AI narrative. Entity is absent or negatively framed in observed outputs.

Signal Definitions

Visibility Score

— 0–100 index

The Milo Visibility Score aggregates four weighted signal dimensions: narrative presence (how often an entity appears in observed AI outputs), thematic consistency (whether the same themes persist across prompts), sentiment alignment (positive/neutral/negative framing balance), and recommendation presence (direct recommendation or comparison inclusion frequency).

Scores are normalised to a 0–100 scale. The score reflects observed AI output patterns — not SEO rank, media coverage, or any external data source.

Sentiment Signal

— Positive · Neutral · Mixed · Critical · Absent

Sentiment is derived from observed framing in AI outputs. Positive sentiment indicates consistent favourable or enthusiastic framing. Neutral indicates descriptive, non-evaluative outputs. Mixed indicates a balance of positive and critical framing. Critical indicates predominantly negative framing. Absent indicates the entity was not meaningfully surfaced.

Sentiment is not extracted from review sites, social media, or press articles. It reflects observed tone in AI model responses only.

Recommendation Presence

— Prominent · Frequent · Occasional · Rare

Recommendation presence measures how often an entity is directly recommended, included in "best of" lists, or named as an example in AI response contexts. Prominent means the entity is regularly foregrounded. Frequent indicates consistent inclusion in multi-entity contexts. Occasional means the entity appears but is not prioritised. Rare indicates near-absence from recommendation outputs.

Narrative Themes

— Observed thematic clusters

Narrative themes are clustered tags derived from recurring language patterns in observed AI outputs for an entity. These themes are not user-generated or manually applied — they surface from consistent topic associations in AI responses.

Each theme represents a meaningful and repeatable association pattern found across multiple prompt variations. Themes evolve as AI outputs evolve.

Limitations & Disclaimer

AI model outputs vary across prompt variations, model versions, and query contexts. Scores and signals represent a snapshot derived from a sample of observed outputs — they are indicative, not exhaustive.

Scores are not guarantees of AI behaviour. AI outputs change continuously. Milo Says data reflects conditions at the time of observation and is refreshed periodically.

Data on Milo Says is observational and does not constitute legal, professional, or commercial advice. For in-depth ongoing monitoring and actionable intelligence, see Entidex.