{
  "id": "AIBD-0592",
  "title": "BattlegroundAI reports advertising performance in school-board campaigns",
  "summary": "BattlegroundAI reports that its AI copy appeared among school-board campaigns’ strongest ads, without establishing an effect on turnout or election results.",
  "date_observed": "2026-10-27",
  "date_basis": "source access",
  "date_precision": "day",
  "benefit_status": "reported",
  "source_collection": "AI Opportunity Inventory raw bank",
  "source_entry": "sheet-row-9-battlegroundai",
  "account": "BattlegroundAI describes advertising for an unnamed advocacy organization supporting school-board candidates in Virginia, Michigan, and North Carolina. The vendor reports that AI-generated copy accounted for five of the ten highest click-through rates and five of the lowest costs per click. Its submission to the AI Opportunity Inventory also claims a 9% reduction in advertising costs and a 16–32% increase in reach, but the linked Analyst Institute account was inaccessible during this review. Those percentages remain submission-level claims. The public summaries do not provide the comparison design or isolate AI from human editing, targeting, spending, and platform delivery. Election wins are not evidence that AI caused electoral success. The date records access to the undated vendor account, not the campaign dates.",
  "category": "general benefit",
  "unexpected": false,
  "purpose": "Generate and adapt advertising copy for campaign audiences.",
  "system": "BattlegroundAI ad-copy generation workflow",
  "model_version": null,
  "developer": "BattlegroundAI",
  "deployer": "An unnamed advocacy organization supporting school-board candidates",
  "location": "Virginia, Michigan, and North Carolina, United States",
  "domain": "Political campaigning",
  "segment": "School-board advertising",
  "benefit_type": "Improved Organizational Efficiency",
  "taxonomy_note": null,
  "registry_ids": {},
  "ratings": [
    {
      "group": "organizational",
      "depth": null,
      "reason": "The reviewed material does not establish a scoped benefit magnitude for this stakeholder group."
    }
  ],
  "ai_role": {
    "status": "assessed",
    "statement": "AI supplied advertising copy within a combined campaign workflow. The reviewed sources do not isolate its contribution from human choices or ad-platform delivery."
  },
  "evidence": [
    {
      "kind": "descriptive report",
      "citation": "BattlegroundAI. Undated website, accessed October 27, 2026. Case Studies, Ad Copy / Messaging school-board campaign panel.",
      "title": "BattlegroundAI: real-world results across every format",
      "url": "https://www.battlegroundai.com/",
      "date": null,
      "written_by": "makers",
      "quote": null
    },
    {
      "kind": "descriptive report",
      "citation": "BattlegroundAI submission to the AI Opportunity Inventory raw bank, sheet row 9, Evidence of Impact and AI Model or System Description. Undated; accessed October 27, 2026.",
      "title": "AI Opportunity Inventory: BattlegroundAI submission",
      "url": "https://docs.google.com/spreadsheets/d/1ZDVVXiGeMcKJlq4F3GvvZALDtLliGeJtdDV6Zhr_p-0/edit#gid=0",
      "date": null,
      "written_by": "makers",
      "quote": null
    }
  ],
  "replication": {
    "produced_by": [
      "AI-generated copy was used in a campaign workflow that also involved human decisions and ad-platform delivery."
    ],
    "must_hold": [
      "The original performance data and comparator are needed to establish the claimed cost and reach effects."
    ],
    "echoes": []
  },
  "paired_incident": null,
  "headline": "AI copy appears among campaign ads with high click rates",
  "metric": null,
  "comparator": null,
  "later": null,
  "value": null,
  "developer_country": null,
  "deployer_country": null,
  "unrated_because": "The source review does not establish the magnitude of a benefit attributable to AI.",
  "brief_notes": null,
  "brief": null,
  "revisions": [
    {
      "date": "2026-10-27",
      "change": "Added the case from the AI Opportunity Inventory lead and reviewed public evidence, preserving source relationships and limits on benefit claims.",
      "source": "https://www.battlegroundai.com/",
      "editor": "AIBD"
    }
  ],
  "confidence": "claimed",
  "shade": "low",
  "claim_status": "The makers' claim",
  "claim_basis": "Sources: two descriptive reports from the makers. The cited evidence includes no independent source and no finding by a regulator or court.",
  "profile": {
    "case_id": "AIBD-0592",
    "catalog_version": "1.0.0",
    "source_fingerprint": "2e60f5ab248a59d1c73b9056271882e88166eb0da4bb08604622937c9f987d3a",
    "collection_refs": [
      {
        "collection_id": "aibd",
        "version": "2026-10-25"
      }
    ],
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      "AIBD-0592-source-0001",
      "AIBD-0592-source-0002"
    ],
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        "state": "not_assessed",
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        "state": "not_assessed",
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        "state": "not_assessed",
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        "state": "value_present",
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            "developer": "BattlegroundAI",
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          "kind": "curatorial",
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        "review_state": "record_mapped",
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      "actors[].ownership_control": {
        "state": "not_assessed",
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        "state": "value_present",
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          "kind": "text",
          "text": "AI supplied advertising copy within a combined campaign workflow. The reviewed sources do not isolate its contribution from human choices or ad-platform delivery."
        },
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          "kind": "source_review",
          "basis": "Reviewed the qualified case account against the retained original sources and their specific contributions.",
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        "review_state": "reviewed",
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          }
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          "kind": "curatorial",
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        "review_state": "record_mapped",
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        "state": "not_assessed",
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        "state": "not_assessed",
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        "state": "not_assessed",
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        "state": "value_present",
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          "kind": "structured",
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            "basis": "Sources: two descriptive reports from the makers. The cited evidence includes no independent source and no finding by a regulator or court.",
            "interpretation": "This label describes the supporting sources; it does not establish a beneficial causal effect.",
            "limitations": [
              {
                "url": "https://members.analystinstitute.org/research/at-the-nexus-how-a-combined-ai-and-human-strategy-powered-school-board-digital-ads-14906",
                "status": "inaccessible",
                "consequence": "The originating comparison, methods, and claimed effects have not been verified."
              }
            ]
          }
        },
        "provenance": {
          "kind": "derivation",
          "basis": "Derived the displayed confidence from the reviewed retained evidence; benefit magnitude remains separate.",
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            "ratings": [
              {
                "group": "organizational",
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              }
            ]
          }
        },
        "provenance": {
          "kind": "curatorial",
          "basis": "Mapped from the new case record; this field has not received a separate field-level assessment.",
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        "review_state": "record_mapped",
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      "assessments[].rubric_version": {
        "state": "not_assessed",
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        "state": "value_present",
        "value": {
          "kind": "structured",
          "data": {
            "answer": "Reported benefits.",
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        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Existing benefit_status classification; no new source review.",
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        "provenance": {
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        },
        "review_state": "record_mapped",
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      "availability": {
        "state": "not_assessed",
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        "coverage": "partial"
      },
      "brief": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "case_kind": {
        "state": "not_assessed",
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      },
      "case_links[]": {
        "state": "not_assessed",
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      "claims[].evidence_links": {
        "state": "value_present",
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          "kind": "structured",
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              {
                "claim_id": "AIBD-0592-claim-0001",
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                  {
                    "source_ref": "AIBD-0592-source-0001",
                    "supports_benefit": true,
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                      "Original vendor school-board advertising summary and AI-copy performance claims."
                    ],
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                      "Case Studies > Ad Copy / Messaging > 400+ Ads / 180+ Candidates / 3 Swing States."
                    ]
                  },
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                    "source_ref": "AIBD-0592-source-0002",
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                      "Original submission supplies the 9% cost and 16–32% reach claims and points to an inaccessible evaluation."
                    ],
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                    ]
                  }
                ]
              }
            ]
          }
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        "provenance": {
          "kind": "source_review",
          "basis": "Mapped sources to the supported claim components and retained contextual sources without counting them as benefit corroboration.",
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                "url": "https://members.analystinstitute.org/research/at-the-nexus-how-a-combined-ai-and-human-strategy-powered-school-board-digital-ads-14906",
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              }
            ]
          }
        },
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          "kind": "derivation",
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        "review_state": "reviewed",
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        "state": "not_assessed",
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        "state": "not_assessed",
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        "state": "not_assessed",
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      },
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        "state": "not_assessed",
        "review_state": "not_assessed",
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        "state": "not_assessed",
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        "state": "not_assessed",
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        "state": "not_assessed",
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        "state": "not_assessed",
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        "family": "monetary observations"
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        "state": "not_assessed",
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      "economics[].counterfactual": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
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      },
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        "state": "not_assessed",
        "review_state": "not_assessed",
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        "family": "monetary observations"
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        "state": "not_assessed",
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        "coverage": "partial",
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        "state": "not_assessed",
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        "state": "not_assessed",
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        "state": "not_assessed",
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      },
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        "state": "not_assessed",
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        "state": "not_assessed",
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        "state": "not_assessed",
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      },
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        "state": "not_assessed",
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      },
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        "state": "not_assessed",
        "review_state": "not_assessed",
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      },
      "evaluations[].design": {
        "state": "not_assessed",
        "review_state": "not_assessed",
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        "state": "not_assessed",
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        "state": "not_assessed",
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        "state": "not_assessed",
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        "state": "not_assessed",
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        "state": "not_assessed",
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        "state": "not_assessed",
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        "state": "not_assessed",
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        "state": "not_assessed",
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      "infrastructure_dependencies[]": {
        "state": "not_assessed",
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        "state": "not_assessed",
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        "coverage": "partial"
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        "state": "not_assessed",
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        "state": "value_present",
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          "kind": "record_fields",
          "fields": {
            "benefit_type": "Improved Organizational Efficiency"
          }
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        "review_state": "record_mapped",
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      },
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        "state": "value_present",
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          "kind": "text",
          "text": "BattlegroundAI describes advertising for an unnamed advocacy organization supporting school-board candidates in Virginia, Michigan, and North Carolina. The vendor reports that AI-generated copy accounted for five of the ten highest click-through rates and five of the lowest costs per click. Its submission to the AI Opportunity Inventory also claims a 9% reduction in advertising costs and a 16–32% increase in reach, but the linked Analyst Institute account was inaccessible during this review. Those percentages remain submission-level claims. The public summaries do not provide the comparison design or isolate AI from human editing, targeting, spending, and platform delivery. Election wins are not evidence that AI caused electoral success. The date records access to the undated vendor account, not the campaign dates."
        },
        "provenance": {
          "kind": "source_review",
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          ],
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        },
        "review_state": "reviewed",
        "coverage": "complete"
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        "state": "not_assessed",
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        "state": "not_assessed",
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        "coverage": "partial"
      },
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        "state": "not_assessed",
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        "state": "value_present",
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          "kind": "record_fields",
          "fields": {
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                "group": "organizational",
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            ]
          }
        },
        "provenance": {
          "kind": "curatorial",
          "basis": "Mapped from the new case record; this field has not received a separate field-level assessment.",
          "record_fields": [
            "ratings"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "outcomes[].status": {
        "state": "value_present",
        "value": {
          "kind": "text",
          "text": "reported"
        },
        "provenance": {
          "kind": "source_review",
          "basis": "Reviewed the qualified case account against the retained original sources and their specific contributions.",
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          "source_refs": [
            "AIBD-0592-source-0001",
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          ],
          "reviewed_on": "2026-10-27"
        },
        "review_state": "reviewed",
        "coverage": "complete"
      },
      "outcomes[].tradeoffs": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].unexpected": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "unexpected": false,
            "purpose": "Generate and adapt advertising copy for campaign audiences."
          }
        },
        "provenance": {
          "kind": "curatorial",
          "basis": "Mapped from the new case record; this field has not received a separate field-level assessment.",
          "record_fields": [
            "unexpected",
            "purpose"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "places[]": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "location": "Virginia, Michigan, and North Carolina, United States"
          }
        },
        "provenance": {
          "kind": "curatorial",
          "basis": "Mapped from the new case record; this field has not received a separate field-level assessment.",
          "record_fields": [
            "location"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "purpose": {
        "state": "value_present",
        "value": {
          "kind": "text",
          "text": "Generate and adapt advertising copy for campaign audiences."
        },
        "provenance": {
          "kind": "source_review",
          "basis": "Reviewed the qualified case account against the retained original sources and their specific contributions.",
          "record_fields": [],
          "source_refs": [
            "AIBD-0592-source-0001",
            "AIBD-0592-source-0002"
          ],
          "reviewed_on": "2026-10-27"
        },
        "review_state": "reviewed",
        "coverage": "complete"
      },
      "record_dates": {
        "state": "value_present",
        "value": {
          "kind": "structured",
          "data": {
            "record_date": "2026-10-27",
            "date_basis": "source access",
            "date_precision": "day",
            "added_on": "2026-10-27",
            "chronology_source": {
              "url": "https://www.battlegroundai.com/",
              "title": "BattlegroundAI: real-world results across every format",
              "qualification": "Record date is explicitly source access when this underlying account is undated."
            }
          }
        },
        "provenance": {
          "kind": "source_review",
          "basis": "Distinguished publication, event, and access chronology; no date is silently promoted to an observed benefit date.",
          "record_fields": [],
          "source_refs": [
            "https://www.battlegroundai.com/"
          ],
          "reviewed_on": "2026-10-27"
        },
        "review_state": "reviewed",
        "coverage": "complete"
      },
      "replication.attempts[]": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "replication.conditions": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "replication": {
              "produced_by": [
                "AI-generated copy was used in a campaign workflow that also involved human decisions and ad-platform delivery."
              ],
              "must_hold": [
                "The original performance data and comparator are needed to establish the claimed cost and reach effects."
              ],
              "echoes": []
            }
          }
        },
        "provenance": {
          "kind": "curatorial",
          "basis": "Mapped from the new case record; this field has not received a separate field-level assessment.",
          "record_fields": [
            "replication"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "revision_history[]": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "revisions": [
              {
                "date": "2026-10-27",
                "change": "Added the case from the AI Opportunity Inventory lead and reviewed public evidence, preserving source relationships and limits on benefit claims.",
                "source": "https://www.battlegroundai.com/",
                "editor": "AIBD"
              }
            ]
          }
        },
        "provenance": {
          "kind": "curatorial",
          "basis": "Mapped from the new case record; this field has not received a separate field-level assessment.",
          "record_fields": [
            "revisions"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "sector": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "domain": "Political campaigning",
            "segment": "School-board advertising"
          }
        },
        "provenance": {
          "kind": "curatorial",
          "basis": "Mapped from the new case record; this field has not received a separate field-level assessment.",
          "record_fields": [
            "domain",
            "segment"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "sources[].access_version": {
        "state": "value_present",
        "value": {
          "kind": "structured",
          "data": {
            "accessed_on": "2026-10-27",
            "sources": [
              {
                "source_ref": "AIBD-0592-source-0001",
                "url": "https://www.battlegroundai.com/"
              },
              {
                "source_ref": "AIBD-0592-source-0002",
                "url": "https://docs.google.com/spreadsheets/d/1ZDVVXiGeMcKJlq4F3GvvZALDtLliGeJtdDV6Zhr_p-0/edit#gid=0"
              }
            ],
            "review_scope": "Read the retained public sources. No raw performance data, private material, or independently replicated outcome evaluation was obtained.",
            "access_limitations": [
              {
                "url": "https://members.analystinstitute.org/research/at-the-nexus-how-a-combined-ai-and-human-strategy-powered-school-board-digital-ads-14906",
                "status": "inaccessible",
                "consequence": "The originating comparison, methods, and claimed effects have not been verified."
              }
            ],
            "chronology_source": {
              "url": "https://www.battlegroundai.com/",
              "title": "BattlegroundAI: real-world results across every format",
              "qualification": "Record date is explicitly source access when this underlying account is undated."
            }
          }
        },
        "provenance": {
          "kind": "source_review",
          "basis": "Recorded the inspected source versions and access limitations; this does not imply access to unavailable upstream evidence.",
          "record_fields": [],
          "source_refs": [
            "AIBD-0592-source-0001",
            "AIBD-0592-source-0002"
          ],
          "reviewed_on": "2026-10-27"
        },
        "review_state": "reviewed",
        "coverage": "complete"
      },
      "sources[].citation_locator": {
        "state": "value_present",
        "value": {
          "kind": "structured",
          "data": {
            "sources": [
              {
                "source_ref": "AIBD-0592-source-0001",
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                "citation": "BattlegroundAI. Undated website, accessed October 27, 2026. Case Studies, Ad Copy / Messaging school-board campaign panel.",
                "locators": [
                  "Case Studies > Ad Copy / Messaging > 400+ Ads / 180+ Candidates / 3 Swing States."
                ],
                "contributions": [
                  "Original vendor school-board advertising summary and AI-copy performance claims."
                ]
              },
              {
                "source_ref": "AIBD-0592-source-0002",
                "url": "https://docs.google.com/spreadsheets/d/1ZDVVXiGeMcKJlq4F3GvvZALDtLliGeJtdDV6Zhr_p-0/edit#gid=0",
                "citation": "BattlegroundAI submission to the AI Opportunity Inventory raw bank, sheet row 9, Evidence of Impact and AI Model or System Description. Undated; accessed October 27, 2026.",
                "locators": [
                  "Sheet row 9, Evidence of Impact and AI Model or System Description."
                ],
                "contributions": [
                  "Original submission supplies the 9% cost and 16–32% reach claims and points to an inaccessible evaluation."
                ]
              }
            ]
          }
        },
        "provenance": {
          "kind": "source_review",
          "basis": "Exact document sections, passages, or table locations supplied by the source review.",
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            "AIBD-0592-source-0001",
            "AIBD-0592-source-0002"
          ],
          "reviewed_on": "2026-10-27"
        },
        "review_state": "reviewed",
        "coverage": "complete"
      },
      "sources[].id": {
        "state": "value_present",
        "value": {
          "kind": "structured",
          "data": {
            "identifiers": [
              "AIBD-0592-source-0001",
              "AIBD-0592-source-0002"
            ],
            "role": "Retained evidence in reviewed source order."
          }
        },
        "provenance": {
          "kind": "curatorial",
          "basis": "Assigned deterministic source identifiers within this new record.",
          "record_fields": [],
          "source_refs": [],
          "reviewed_on": "2026-10-27"
        },
        "review_state": "reviewed",
        "coverage": "complete"
      },
      "sources[].language": {
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        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "sources[].relationship": {
        "state": "value_present",
        "value": {
          "kind": "structured",
          "data": {
            "sources": [
              {
                "source_ref": "AIBD-0592-source-0001",
                "authorship_relationship": "makers",
                "independent_of_maker_and_deployer": false,
                "originality_assessments": [
                  "Original vendor claims; not independent verification."
                ]
              },
              {
                "source_ref": "AIBD-0592-source-0002",
                "authorship_relationship": "makers",
                "independent_of_maker_and_deployer": false,
                "originality_assessments": [
                  "Same maker and likely overlapping campaign account. Do not count the submission and homepage as independent corroboration."
                ]
              }
            ]
          }
        },
        "provenance": {
          "kind": "source_review",
          "basis": "Assessed who produced each account separately from whether it supplies original evidence.",
          "record_fields": [],
          "source_refs": [
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          ],
          "reviewed_on": "2026-10-27"
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        "review_state": "reviewed",
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      },
      "sources[].upstream_sources": {
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          "kind": "structured",
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              "AIBD-0592-source-0001",
              "AIBD-0592-source-0002"
            ],
            "origins": [
              {
                "url": "https://www.battlegroundai.com/",
                "source_refs": [
                  "AIBD-0592-source-0001"
                ],
                "display_name": "BattlegroundAI",
                "contribution": "Original vendor school-board advertising summary and AI-copy performance claims.",
                "locator": "Case Studies > Ad Copy / Messaging > 400+ Ads / 180+ Candidates / 3 Swing States.",
                "relationship": "Original vendor claims; not independent verification."
              },
              {
                "url": "https://docs.google.com/spreadsheets/d/1ZDVVXiGeMcKJlq4F3GvvZALDtLliGeJtdDV6Zhr_p-0/edit#gid=0",
                "source_refs": [
                  "AIBD-0592-source-0002"
                ],
                "display_name": "BattlegroundAI submission to the AI Opportunity Inventory raw bank, sheet row 9, Evidence of Impact and AI Model or System Description",
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                "locator": "Sheet row 9, Evidence of Impact and AI Model or System Description.",
                "relationship": "Same maker and likely overlapping campaign account. Do not count the submission and homepage as independent corroboration."
              }
            ],
            "chronology_source": {
              "url": "https://www.battlegroundai.com/",
              "title": "BattlegroundAI: real-world results across every format",
              "qualification": "Record date is explicitly source access when this underlying account is undated."
            },
            "version_relationships": [
              {
                "source_refs": [
                  "AIBD-0592-source-0001",
                  "AIBD-0592-source-0002"
                ],
                "relationship": "Related vendor accounts. They do not constitute independent replications; their metrics have different presentation and unresolved denominators."
              }
            ],
            "review_scope": "Read the retained public sources. No raw performance data, private material, or independently replicated outcome evaluation was obtained.",
            "access_limitations": [
              {
                "url": "https://members.analystinstitute.org/research/at-the-nexus-how-a-combined-ai-and-human-strategy-powered-school-board-digital-ads-14906",
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              }
            ]
          }
        },
        "provenance": {
          "kind": "source_review",
          "basis": "Traced the retained evidence to the reviewed original accounts and preserved shared origins, chronology, and access limits.",
          "record_fields": [],
          "source_refs": [
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            "AIBD-0592-source-0002"
          ],
          "reviewed_on": "2026-10-27"
        },
        "review_state": "reviewed",
        "coverage": "complete",
        "display": {
          "answer": "The source review separates original evidence from repeated accounts and records material access limits."
        }
      },
      "strategic_assessments[]": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "strategic assessments"
      },
      "summary": {
        "state": "value_present",
        "value": {
          "kind": "text",
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        },
        "provenance": {
          "kind": "source_review",
          "basis": "Reviewed the qualified case account against the retained original sources and their specific contributions.",
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          "source_refs": [
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            "AIBD-0592-source-0002"
          ],
          "reviewed_on": "2026-10-27"
        },
        "review_state": "reviewed",
        "coverage": "complete"
      },
      "systems[].autonomy_permissions": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "systems[].component_role": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "systems[].deployment_configuration": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "systems[].inputs_outputs": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "systems[].model_name": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "systems[].model_version": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "systems[].product_name": {
        "state": "value_present",
        "value": {
          "kind": "text",
          "text": "BattlegroundAI ad-copy generation workflow"
        },
        "provenance": {
          "kind": "source_review",
          "basis": "Reviewed the qualified case account against the retained original sources and their specific contributions.",
          "record_fields": [],
          "source_refs": [
            "AIBD-0592-source-0001",
            "AIBD-0592-source-0002"
          ],
          "reviewed_on": "2026-10-27"
        },
        "review_state": "reviewed",
        "coverage": "complete"
      },
      "systems[].provider": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "taxonomy_crosswalks[]": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "title": {
        "state": "value_present",
        "value": {
          "kind": "text",
          "text": "BattlegroundAI reports advertising performance in school-board campaigns"
        },
        "provenance": {
          "kind": "source_review",
          "basis": "Reviewed the qualified case account against the retained original sources and their specific contributions.",
          "record_fields": [],
          "source_refs": [
            "AIBD-0592-source-0001",
            "AIBD-0592-source-0002"
          ],
          "reviewed_on": "2026-10-27"
        },
        "review_state": "reviewed",
        "coverage": "complete"
      },
      "version": {
        "state": "value_present",
        "value": {
          "kind": "structured",
          "data": {
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          }
        },
        "provenance": {
          "kind": "derivation",
          "basis": "Computed the version from the normalized current core record.",
          "record_fields": [],
          "source_refs": [],
          "reviewed_on": "2026-10-27"
        },
        "review_state": "reviewed",
        "coverage": "complete"
      },
      "workflow": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "account": "BattlegroundAI describes advertising for an unnamed advocacy organization supporting school-board candidates in Virginia, Michigan, and North Carolina. The vendor reports that AI-generated copy accounted for five of the ten highest click-through rates and five of the lowest costs per click. Its submission to the AI Opportunity Inventory also claims a 9% reduction in advertising costs and a 16–32% increase in reach, but the linked Analyst Institute account was inaccessible during this review. Those percentages remain submission-level claims. The public summaries do not provide the comparison design or isolate AI from human editing, targeting, spending, and platform delivery. Election wins are not evidence that AI caused electoral success. The date records access to the undated vendor account, not the campaign dates.",
            "replication": {
              "produced_by": [
                "AI-generated copy was used in a campaign workflow that also involved human decisions and ad-platform delivery."
              ],
              "must_hold": [
                "The original performance data and comparator are needed to establish the claimed cost and reach effects."
              ],
              "echoes": []
            }
          }
        },
        "provenance": {
          "kind": "curatorial",
          "basis": "Mapped from the new case record; this field has not received a separate field-level assessment.",
          "record_fields": [
            "account",
            "replication"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      }
    },
    "summary": {
      "total": 91,
      "addressed": 91,
      "known": 32,
      "reviewed": 18,
      "reviewed_complete": 17,
      "reviewed_partial": 1,
      "record_mapped": 14,
      "review_not_assessed": 59,
      "not_assessed": 59,
      "complete": false,
      "by_state": {
        "value_present": 32,
        "not_reported": 0,
        "unresolved": 0,
        "not_assessed": 59,
        "not_applicable": 0,
        "withheld": 0,
        "source_unavailable": 0
      }
    }
  }
}