Executive scan: AI visibility is not a one-time project. Models update, competitors optimize, and citation share shifts month to month. The Monthly Citation Reporting retainer gives your team a permanent measurement system, ongoing optimization work, and a structured reporting cadence — so AI visibility compounds instead of decaying after the initial build.

AI citation share changes continuously. Large language model updates shift which sources are preferred. Competitor content improvements erode share you have built. New query categories emerge as your category evolves. Brands that treat AI visibility as a one-time project typically see citation gains erode within 6 to 12 months. Brands that treat it as a managed program compound their advantage over time.

What is included every month

AI Platform Citation Sampling

Structured prompt sampling across ChatGPT, Gemini, Claude, Perplexity, and Copilot — covering priority query categories, branded queries, comparison queries, and competitor-adjacent queries.

Share-of-Model Score

A quantified citation rate for your brand by query category — how often you appear versus competitors in AI-generated answers. Tracked month-over-month to show direction and velocity.

Competitive Gap Delta

Which competitors gained or lost citation share in your categories this month, and which specific queries represent the highest-priority opportunities to close.

Schema Health Check

Monthly review of structured data validity, coverage gaps, and schema markup that needs refreshing following content updates or model changes.

Content Optimization Sprint

1 to 2 pages per month of citation-focused optimization: extraction formatting, synthesis-ready rewrites, entity clarity improvements, or new short-answer content blocks.

CMO-Ready Scorecard

A one-page executive summary — share-of-model trend, top wins, top gaps, priority actions — formatted for briefing marketing leadership or a board-level audience.

Retainer tiers

Starter — Monitoring + Reporting. Monthly citation sampling across 5 platforms, share-of-model scorecard, competitive gap delta, and schema health check. Recommended for brands post-audit that need a measurement baseline before committing to optimization work.

Growth — Monitoring + Monthly Sprint. Everything in Starter, plus 1 to 2 page content optimization sprint per month, schema updates, and a full written report with next-month priorities. Recommended for brands actively building citation share in competitive categories.

Enterprise — Full Managed Program. Everything in Growth, plus expanded platform sampling, quarterly deep-dive audit, analytics architecture maintenance, and direct CMO briefing support. Recommended for brands managing AI visibility as a strategic priority across multiple product lines.

How the retainer works

Foundation (Month 1–3). We establish your citation baseline, set the query category tracking framework, configure analytics for AI referral attribution, and deliver the first three monthly reports.

Ongoing (Month 4+). Monthly sampling, optimization sprint, scorecard delivery, and a written priorities brief for the next month. Month-to-month commitment after the foundation period.

Quarterly Review. Every quarter, a deeper review: share-of-model trend analysis, competitive position report, schema and content audit refresh, and a 90-day priorities update.

Frequently Asked Questions

Do I need to complete an AI Visibility Audit first?

It is strongly recommended. The AI Visibility Audit gives you the citation baseline and gap analysis that makes retainer measurement far more precise from Month 1. Without it, the first 4 to 6 weeks of the retainer foundation are used to establish what the audit would have delivered upfront.

How is share-of-model measured?

Brainpan.AI runs structured prompt sampling across ChatGPT, Gemini, Claude, Perplexity, and Copilot using a standardized query set for your category. We record citation presence, citation accuracy, and competitive citation outcomes, then aggregate these into a per-category share-of-model score tracked month-over-month.

What does the CMO scorecard look like?

A one-page structured summary: share-of-model score by category with trend arrows, top three citation wins this month, top three competitive gaps, schema health status, and the two highest-priority actions for next month. Formatted for a 5-minute brief, not a 30-minute deep dive.

What is the minimum commitment?

The foundation period is 3 months — the time needed to establish a reliable baseline, run the first comparison cycle, and complete the first optimization sprint. After 3 months, the engagement is month-to-month.

Start with the AI Visibility Audit

Before managing citation share monthly, you need to know where you stand. The audit establishes the baseline the retainer measures against.

Request AI Visibility Audit
Kevin Walsh, Founder of Brainpan.AI

Written and reviewed by

Kevin Walsh

Kevin Walsh is the founder of Brainpan.AI, where he builds AI visibility infrastructure, GEO/AEO strategy, schema systems, and citation optimization programs for brands that need to be retrieved, cited, and trusted by AI answer engines.