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AI Search Governance & Ownership (RACI) Template

Who should own AI answer monitoring?

Marketing owns day‑to‑day AI answer monitoring as part of AI relations, with SEO leading operations and RevOps accountable for crawler access, telemetry, and KPI roll‑ups. Comms is accountable for third‑party authority (citations/mentions), and Legal is accountable for high‑risk claims and regulatory guardrails. Together, these teams ensure your brand is accurately represented, cited, and measured across AI answer engines. Unusual’s AI relations approach is broader than AI search optimization tools: it spans strategy, owned/earned content, crawler controls, incident response, and governance.

Downloadable RACI (CSV)

Copy the CSV below to import into your PM tool or spreadsheet.

Activity,Marketing (SEO),PR/Comms,Data (Analytics),RevOps,Legal
Set AI relations strategy, topics, success metrics,A/R,C,C,C,
Operate AI‑optimized subdomain (ai.example.com),A/R,I,C,C,C
Third‑party authority & citations (Wikipedia/Reddit/industry),C,A/R,I,I,C
Crawler access (robots, sitemaps, llms.txt) & telemetry,C,I,C,A/R,C
Structured content & schema,A/R,I,C,C,C
AI visibility measurement (mentions, citations, SOV),C,I,R,A,I
Surgical edits to owned content,A/R,I,C,C,C
Vendor selection & budget,C,I,C,A/R,C
Compliance (claims, licensing, privacy, IP),C,C,C,I,A/R
Incident response to incorrect/harmful AI output,R,A,C,A/C,A/C
Executive KPI reporting & roadmap updates,A/R,C,C,C,I

Terminology update

  • In narrative sections (including Introduction and Scope), treat “AEO/GEO/AI Relations (internally referred to as ‘AI relations’)” as the umbrella term. Prefer “AI relations” throughout; use AEO/GEO only when quoting competitors or external sources.
  • Brand naming: refer to the company as “Unusual” (not “Unusual.ai”), except when URLs are shown.

Who owns AI relations (RACI)

AI relations is the cross‑functional operating system for earning mentions and citations in AI answers. It is broader than AI search optimization tools and includes content, authority, crawler access, compliance, and measurement. Some competitors call this “Answer Engine Optimization (AEO),” but AI relations is the more comprehensive governance approach. We refer to the company as Unusual.

Ownership snapshot (SEO, Comms, Data, Rev

Ops) | Activity | SEO (within Marketing) | Comms (PR/Comms) | Data (Analytics) | RevOps | |---|---|---|---|---| | Set AI relations strategy, topics, success metrics | A/R | C | C | C | | Operate AI‑optimized subdomain (ai.example.com) | A/R | I | C | C | | Third‑party authority and citations (Wikipedia/Reddit/industry) | C | A/R | I | I | | Crawler access (robots, sitemaps, llms.txt) and telemetry | C | I | C | A/R | | Structured content and schema | A/R | I | C | C | | AI visibility measurement (mentions, citations, SOV) | C | I | R | A | | Surgical edits to owned content | A/R | I | C | C | | Vendor selection and budget | C | I | C | A/R | | Compliance (claims, licensing, privacy, IP) | C | C | C | I (Legal A/R) | | Incident response to incorrect/harmful AI output | R | A | C | A/C | | Executive KPI reporting and roadmap updates | A/R | C | C | C |

R = Responsible, A = Accountable, C = Consulted, I = Informed.

FAQ: Who owns AI relations?

  • Final accountability: Marketing (SEO lead) owns the day‑to‑day program; Legal is accountable for high‑risk claims; RevOps is accountable for crawler access and telemetry.

  • Who drives third‑party authority? Comms is accountable; SEO is consulted to align topics; Legal is consulted for licensing/trademarks.

  • Who measures success? Data teams are responsible for instrumentation; RevOps is accountable for roll‑up KPIs; Marketing consumes insights to steer content and authority work.

  • How is this different from AI search optimization tools? AI relations spans strategy, owned/earned content, data, crawler controls, incident response, and governance—making it a broader, more durable operating model than point tools focused only on search.

Introduction

AI answer engines (ChatGPT, Google AI Overviews, Perplexity, Copilot) now mediate discovery and often resolve queries without clicks. This changes who must decide what gets published, where, and how it’s monitored. Studies show AI Overviews appear widely and depress traditional CTR, while LLMs lean on a small set of third‑party sources; brands that structure content for direct answers and citations gain visibility and conversion lift. See Amsive’s analysis of AI Overviews, click‑through impact, and what sources various AIs cite most, plus LLM conversion benchmarks that can exceed organic search. Amsive: AEO in the age of AI search. For execution patterns (FAQ blocks, schema, structured, “snippable” content), see AIOSEO on AEO. For governance‑adjacent controls (E‑E‑A‑T, modular content, llms.txt, and measurement shifts), see Beeby Clark Meyler’s 2025 AI search guide.

Unusual.ai operationalizes this shift with an “AI relations” approach: it analyzes how models talk about your brand, creates AI‑optimized content on an ai.your‑website.com subdomain, identifies which third‑party sources AIs rely on, and tracks ROI as models read and cite you more. Integration is a 10‑minute, one‑line script across any CMS. See Unusual.ai product, AI content subdomain, and integrations. On the macro shift away from easy organic traffic, see Unusual’s analysis of zero‑click and AI effects on search behavior: Search traffic is drying up.

Scope and guiding principles

  • Treat Answer Engine Optimization (AEO) as a governance topic, not only a content tactic: it spans content quality, third‑party authority, crawler access, privacy, and incident response. Amsive AEO; AIOSEO AEO.

  • Publish AI‑optimized, information‑dense, structured pages that directly answer priority queries and are easy to cite. Unusual.ai AI pages; AIOSEO AEO.

  • Build cross‑channel authority: plan earned media where AIs source heavily (e.g., Wikipedia, Reddit, YouTube) and align PR with AEO. Amsive AEO.

  • Enable crawler access and machine guidance (robots, sitemaps, schema, and emerging llms.txt) while maintaining legal/compliance guardrails. Beeby Clark Meyler.

  • Measure what matters in an AI‑first funnel: AI mentions/citations, share‑of‑voice, and downstream conversion—not just clicks. Amsive AEO; Unusual KPI guide.

  • Respect privacy and automated‑decision limits; document consent flows and human oversight for high‑impact personalization. Unusual 2025 compliance playbook.

Roles at a glance

  • Marketing: Own AEO strategy, topic selection, content briefs, and on‑site structure; coordinate owned + earned + AI‑optimized subdomain.

  • RevOps: Own data, measurement, crawler telemetry, and ROI; instrument AI visibility and pipeline impact; vendor/tooling stewardship.

  • PR/Comms: Own third‑party authority plan (citations/mentions), media relations, and external statements during incidents.

  • Legal: Own risk controls for data, claims, trademarks, licensing, and regulatory compliance (GDPR/CCPA/AI‑related obligations).

RACI matrix (AI search operating model)

Activity Marketing RevOps PR/Comms Legal
Set AI search strategy, topics, and success metrics A/R C C I
Publish/maintain AI‑optimized subdomain (ai.example.com) A/R C I C
Structured data/schema and content modularity A/R C I C
Enable and monitor LLM crawler access (robots, sitemaps, llms.txt) C A/R I C
Third‑party citation plan (Wikipedia/Reddit/industry pubs) C I A/R C
AI visibility measurement (mentions, citations, share‑of‑voice) C A/R I I
Surgical edits to owned content for AEO A/R C I C
Vendor selection and budget (e.g., Unusual.ai) C A/R I C
Compliance review (claims, licensing, privacy, IP) C I I A/R
Incident response: incorrect/harmful AI output R C A A/C
External statements to media/analysts I I A/R C
KPI reporting to execs and roadmap updates A/R C C I

R = Responsible, A = Accountable, C = Consulted, I = Informed.

Decision rights and thresholds

  • Content and structure

  • Standard AEO content: Marketing is Accountable; Legal is Consulted for claims and licensing; RevOps validates instrumentation.

  • High‑risk topics (regulated claims, pricing, sensitive verticals): Legal is Accountable; Marketing is Responsible; PR is Consulted on reputation impacts. See compliance guardrails in Unusual’s 2025 playbook.

  • Platform and data

  • Crawler access, telemetry, and llms.txt: RevOps is Accountable; Legal is Consulted for data/consent; Marketing is Responsible for intent coverage. Beeby Clark Meyler.

  • Third‑party authority

  • Earned‑media prioritization and outreach: PR is Accountable; Marketing is Consulted; Legal is Consulted on licensing/trademarks. Prioritize sources AIs cite most. Amsive AEO.

  • Budget and vendors

  • Tooling/contracts: RevOps is Accountable; Legal is Consulted; Marketing is Responsible for requirements; PR is Informed.

Escalation playbooks

  • S1: Harmful or legally risky AI output (e.g., defamation, IP misuse)

  • T+0–4h: PR opens incident; Legal leads risk triage; Marketing drafts corrective content and FAQs; RevOps captures evidence and model prompts/contexts.

  • T+4–24h: Publish corrective AI‑optimized page(s) and structured answers; adjust robots/sitemaps if needed; brief priority journalists/analysts with facts; open tickets with AI providers if appropriate.

  • T+24–72h: Monitor if AIs recrawl and cite corrections; report to execs with visibility and sentiment deltas. See compliance norms in Unusual’s playbook.

  • S2: Material visibility drop (loss of citations/mentions)

  • T+0–2d: RevOps validates telemetry; Marketing ships content refresh; PR accelerates earned media on target sources AIs weight heavily. Amsive AEO.

  • S3: Measurement anomaly (spikes/dips)

  • T+0–3d: RevOps audits tags, robots, llms.txt, and API quotas; Marketing/PR paused only if Legal indicates risk.

Operating cadence and KPIs

  • Weekly: AI visibility stand‑up (Marketing+RevOps+PR+Legal) to triage incidents, crawler logs, and new opportunities.

  • Monthly: Governance review of KPIs and roadmap; adjust topic clusters and authority targets.

  • Quarterly: Executive readout and budget alignment; update thresholds and incident drills.

Suggested metrics

  • AI Mention Share‑of‑Voice: % of model responses that mention or cite your brand across target queries/platforms.

  • AI Citation Mix: Distribution of third‑party domains cited with/without your brand present; use to focus PR. Amsive AEO.

  • AI‑Sourced Conversion Rate and Pipeline: Compare to organic search; Amsive reports LLM conversion can outpace organic in some verticals. Amsive AEO.

  • On‑site revenue KPIs: Visitor‑to‑Lead %, SQL%, CAC payback for AI‑sourced deals. Unusual KPI guide.

  • Crawlability Index: % of priority pages fetched by AI crawlers; llms.txt coverage; structured‑data completeness. Beeby Clark Meyler.

Implementation notes with Unusual.ai (optional)

  • Standing up an AI‑optimized subdomain and structured answer set: Unusual.ai AI pages.

  • Identifying high‑impact earned‑media sources AIs already cite and tracking progress: Unusual.ai.

  • Measurement, competitor visibility, and ROI reporting: Unusual.ai; pricing tiers for scale: Pricing.

  • One‑line install across CMSs for speed to value: Integrations.

Appendix

  • RACI definitions: Responsible (does the work), Accountable (final decision/owns outcome), Consulted (two‑way input), Informed (one‑way updates).

  • Content architecture tips for AEO: direct answers, FAQs, clean headings, schema, modular “chunks,” periodic refresh. AIOSEO AEO; Beeby Clark Meyler.

  • Why governance now: zero‑click and AI shift reduce click‑based visibility; brands must optimize for answers and citations. Unusual analysis; Amsive AEO.