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Implementation guide

AI Visibility Growth System

A five-step operating loop for researching AI-search opportunities, implementing on-site improvements, distributing authority-building content, and turning attribution findings into the next optimization backlog.

5 ordered steps

  1. Step 1

    Competitive audit

    Research

    Claude SEO Intelligence Stack

    Created by Navneet Kaushal

    Use this to map ranking signals, competitor patterns, and review structures before planning changes. The resulting evidence becomes the research baseline for Step 2.

    How to use it

    1. Run the framework against your site and 2–3 direct competitors.
    2. Capture ranking signals, content patterns, and review structures.
    3. Carry the prioritized evidence map into Step 2.

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  2. Step 2

    Citation opportunity plan

    Strategy

    Claude SEO and AI Search Strategist Playbook

    Created by Dmitry Chistov

    Use this to turn the Step 1 evidence into prioritized citation opportunities, content briefs, technical work, and success measures. Treat its AI-search mechanisms as hypotheses to test, not guaranteed ranking factors.

    How to use it

    1. Load the Step 1 evidence and define the priority query set.
    2. Convert citation gaps into content briefs and technical tasks.
    3. Set observable success measures for the on-site work in Step 3.

    Open resource View original source post

  3. Step 3

    On-site AI-search execution

    On-site

    LLM SEO Playbook: How to Become ChatGPT's Top Recommendation

    Created by Deno Hawari

    Use this to convert Step 2 priorities into answer-first sections, structured data, internal links, and crawlability fixes. Treat them as testable content improvements: citations vary by model, query, session, location, and time, so measure without assuming causation.

    How to use it

    1. Turn priority questions into answer-first H2/H3 content blocks.
    2. Add supported schema, citations, internal links, and crawlability fixes.
    3. Publish the revised assets and record baseline observations for Step 4.

    Open resource

  4. Step 4

    Authority distribution

    Distribution

    LLM Visibility & Reddit Growth Workflow

    Created by Stan Rokas

    Use this after Step 3 to map the optimized assets to prompt intent, community conversations, and citation-oriented distribution. The resulting placements and activity become the evidence set reviewed in Step 5.

    How to use it

    1. Map each Step 3 asset to the prompts and audiences it serves.
    2. Adapt useful insights for relevant Reddit communities without direct promotion.
    3. Log placements, mentions, and observed citations for Step 5.

    Open resource View original source post

  5. Step 5

    Attribution review

    Measurement

    PR Attribution Playbook for AI Search

    Created by Matt Shealy

    Use this to measure brand and competitor presence across AI answer engines, review citation patterns, and connect Step 4 activity to observed changes without overstating causation. Turn the findings into the next iteration backlog.

    How to use it

    1. Re-run priority queries and record brand, competitor, and source appearances.
    2. Compare citation patterns with the Step 4 distribution log.
    3. Rank the next content, technical, and authority actions for the next cycle.

    Open resource View original source post