Playbook

90-Day AI Visibility Playbook: Week-by-Week Plan to Get Recommended by AI

Metricus Research · March 27, 2026 · 25 min read

Last updated: April 2026

Generative engine optimization requires a structured approach across nine areas. Brands that implement a systematic 90-day plan see organic AI visibility improvements of 30–40% (Princeton GEO, KDD 2024). This playbook from Metricus converts published research into a week-by-week execution framework — covering auditing, entity resolution, RAG page optimization, PR retargeting, and measurement — requiring no new budget or headcount. A Metricus AI visibility report provides the brand-specific data that makes each step actionable.

What the playbook covers

The structural threat
Two retrieval engines, two playbooks
The ninety-minute audit
Entity resolution
Making pages visible to RAG systems
Retargeting your PR budget
Four metrics that replace the analytics gap
Reporting without getting the budget killed
Deploying without new budget or headcount
The thirty-day proof of concept

Brands appeared in only 50–60% of buyer-intent queries where their product was a genuine fit — not queries where they lacked relevance, but queries where they were objectively competitive and still invisible to AI.

Google AI Overviews now trigger on roughly one-third of US informational queries (BrightEdge, 2024), with documented CTR erosion of 20–40% on affected terms regardless of organic position (Semrush, 2024).

Get the full playbook — free PDF

The complete 90-day framework with all nine sections, week-by-week timelines, and diagnostic templates, delivered to your inbox. No spam. Unsubscribe anytime.

What you'll get

Complete nine-section framework — from the ninety-minute audit template through the thirty-day proof-of-concept deployment plan, every section with step-by-step instructions.
RAG vs. parametric diagnostic — the five-minute test to determine which retrieval mechanism governs each of your revenue queries, so you assign the right team to the right workstream.
Entity resolution checklist — the mechanical two-week process one person can complete to unlock your entire content library for AI citation simultaneously.
Four replacement metrics — brand presence rate, factual accuracy rate, competitive share of voice, and citation source diversity — with measurement protocols for each.

Your brand, specifically

This playbook gives you the framework. What's missing is the data.

A Metricus report shows you what AI actually says about your brand right now, where those answers came from, and what to change first. The playbook tells you what to do — the report tells you what to do it to.

Get the data for your brand arrow_forward

One-time Snapshot. Delivered within 24 hours. $499.

Frequently asked questions

What is a 90-day AI visibility playbook?

A 90-day AI visibility playbook is a structured, week-by-week execution framework for getting your brand recommended by AI systems like ChatGPT, Perplexity, and Gemini. It covers nine areas: threat assessment, retrieval mechanism mapping, auditing, entity resolution, RAG page optimization, PR retargeting, measurement metrics, reporting structure, and a proof-of-concept deployment plan.

How long does it take to improve AI visibility?

RAG-based improvements (Perplexity, Google AI Overviews) can show results within days to weeks after publishing stronger content. Parametric knowledge changes (what ChatGPT or Claude believe without searching) take months because they depend on model retraining cycles. A structured 90-day plan addresses both timelines in parallel.

Does improving AI visibility require a large budget?

No. The playbook maps every intervention to work your team already performs under existing budgets. Entity resolution adds hours to an existing technical SEO cycle. Citation-source PR targeting redirects existing agency retainers. The only net-new cost is optional monitoring tools at $200–500 per month.

What is the difference between RAG optimization and parametric optimization?

RAG (retrieval-augmented generation) optimization targets AI systems that search the live web before answering, like Perplexity and Google AI Overviews. Parametric optimization targets what models like ChatGPT have encoded in their training weights. Each requires different tactics, different owners, and different measurement timelines.

How is a Metricus AI visibility report different from this playbook?

This playbook provides the general framework for what to do. A Metricus report provides the specific data for your brand: which AI platforms mention you, what they get wrong, which competitor claims appear instead, and which sources to fix first. The playbook is the method; the report is the diagnosis.