{
  "@context": "https://schema.org",
  "@type": "DefinedTerm",
  "schema_version": "1.1",
  "content_item_id": "dictionary-ai-recommendation.en",
  "translation_group_id": "dictionary-ai-recommendation",
  "locale": "en",
  "type": "glossary",
  "section": "dictionary",
  "slug": "ai-recommendation",
  "title": "AI recommendation",
  "description": "An AI recommendation is an answer in which a system suggests an entity as suitable for the user’s task. It should be separated from a neutral mention and advertising.",
  "direct_answer": "An AI recommendation is an answer in which a system suggests an entity as suitable for the user’s task. It should be separated from a neutral mention and advertising. A mention, link, citation, and recommendation are separate fields. One answer can contain all four, but none substitutes for another. A nearby source is not necessarily the cause of the wording. It is especially important to separate the displayed mode from assumptions about the internal pipeline.",
  "sections": [
    {
      "heading": "Working definition",
      "paragraphs": [
        "Classify a recommendation from the answer’s directive or comparative language, preserving the task and alternatives that frame it. Do not infer endorsement from a bare name or from a link displayed nearby."
      ]
    },
    {
      "heading": "Boundary with nearby concepts",
      "paragraphs": [
        "A recommendation is stronger than a mention because it assigns suitability for a task, but it is still distinct from a citation or a clickable link. Record the wording that makes the advice actionable."
      ]
    },
    {
      "heading": "Observation fields",
      "paragraphs": [
        "Record the user task, candidate set, recommended object, rationale, alternatives, query, surface, locale, region, timestamp, and link state. These fields show whether the advice was conditional or presented as an unqualified choice."
      ]
    },
    {
      "heading": "How to test",
      "paragraphs": [
        "Define recommendation cues before reviewing results, then test the rule against neutral mentions and sponsored-looking language. Preserve borderline cases rather than forcing every positive-sounding phrase into the recommendation category."
      ]
    },
    {
      "heading": "What can be claimed",
      "paragraphs": [
        "A counted recommendation means that the sampled answer advised an entity for a stated task. It does not establish that the entity is objectively best, that the advice was followed, or that a user converted."
      ]
    },
    {
      "heading": "Limitations",
      "paragraphs": [
        "Recommendations can reflect incomplete candidates, prompt framing, personalization, commercial relationships, or hidden policies. External observation cannot usually separate those causes, so recommendation counts are signals of observed advice—not independent quality ratings."
      ]
    }
  ],
  "published_at": "2026-09-11",
  "modified_at": "2026-09-11",
  "data_through": "2026-09-11",
  "next_review_at": "2026-10-11",
  "author": "GeoAeoAle Editorial",
  "origin": "editorial",
  "publisher": "GeoAeoAle Editorial",
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "canonical_url": "https://geoaeoale.com/en/dictionary/ai-recommendation/",
  "claims": [
    {
      "claim_id": "ai-recommendation-claim",
      "text": "An AI recommendation is an answer in which a system suggests an entity as suitable for the user’s task. It should be separated from a neutral mention and advertising.",
      "status": "inference",
      "confidence": "medium",
      "source_ids": [
        "google-ai-search"
      ],
      "publication_status": "public",
      "confidentiality": "public"
    }
  ],
  "sources": [
    {
      "source_id": "google-ai-search",
      "canonical_url": "https://developers.google.com/search/docs/appearance/ai-features",
      "title": "Top ways to ensure your content performs well in Google's AI experiences",
      "publisher": "Google Search Central",
      "source_type": "official",
      "locale": "en",
      "published_at": null,
      "checked_at": "2026-09-11",
      "sha256": "c6b267ed42c26ee63151c87d27de45d8882a5b7dc77c3d3dece510b21d63c300",
      "license": "Source terms apply",
      "visibility": "public"
    }
  ],
  "related_slugs": [
    "ai-visibility",
    "answer-engine",
    "retrieval"
  ],
  "limitations": [
    "A recommendation may depend on task wording, an incomplete candidate set, personalization, commercial conditions, or hidden policies. An observed recommendation is not an independent quality rating and does not show that a user followed the advice."
  ],
  "corrections": []
}