A score tells you where you stand. An action plan tells you what to do about it. After analyzing 100+ AI conversations across three engines, we have a detailed picture of where your business appears, where it doesn't, and why. The action plan turns that data into specific, prioritized steps.
This isn't generic advice like “improve your online presence.” Every action in your plan is tied to a real gap we found in your audit data - a source that cites your competitors but not you, a query type where you're consistently missing, or a technical issue blocking AI crawlers from your website.
Step 1: Pre-Computing Your Gaps
Before any recommendations are generated, we run a structured gap analysis across your audit data. This step is purely computational - no AI interpretation, just data processing. We compute five types of gaps:
These gaps are computed directly from the structured data extracted during the response analysis phase. Source gaps come from the citation tracking. Content gaps come from per-query-type mention rates. Competitor presence comes from the competitor extraction with source attribution- each competitor's platform presence is traced to the specific source the AI cited, not estimated. Nothing is guessed - every gap is backed by specific query-response pairs.
Step 2: Structuring the Data
The pre-computed gaps are formatted into a structured document with five sections: SOURCE GAPS, CONTENT GAPS, TOP COMPETITORS, NEGATIVE SENTIMENT ISSUES, and TECHNICAL ISSUES. Each section includes the actual numbers - citation counts, miss rates, competitor names, specific phrases.
This structured document is what the action plan generator receives. By pre-computing and formatting the gaps before generation, we ensure that every recommended action can point to specific data. The generator doesn't have to search through raw audit data - it receives a clean summary of exactly what's wrong and where the opportunities are.
Step 3: Generating Specific Actions
GPT-4.1 receives the gap analysis, your business context (category, location, scope), and the detection scan results (if available). It generates 15 to 30 specific actions, each required to reference the actual data from the gaps.
Anatomy of an Action
The output is validated against a strict schema. Actions that don't include reasoning or data points are rejected. This is how we ensure the plan is data-driven rather than generic.
The Earned vs Owned Framework
Every action is classified as either Earned Media (things you influence on third-party platforms) or Owned Media (things you control on your own website and content). This split helps you prioritize based on what kind of work you're equipped to do.
Opportunity Scoring
Not all gaps are equal. A source cited 15 times across your audit where three competitors appear and you don't is a bigger opportunity than a source cited twice. The opportunity score ranks actions by potential impact.
Each action also includes an effort estimate: quick win (under an hour), half day, 1–2 days, 1 week, or ongoing. Combined with the opportunity level, this helps you find the high-impact, low-effort actions first - the classic quick wins that move the needle fastest.
Triage: Making It Actionable
A 25-item action plan can feel overwhelming. That's why every action in your plan has a triage status: Todo, Skip, or Done. You can quickly mark items as skipped if they don't apply to your situation, and track completion as you work through the plan.
The plan is also regenerable. If you've completed several actions and want a fresh set of recommendations, you can regenerate the plan to get updated priorities based on the same audit data.
Data In, Actions Out
The action plan is the final step in the chain: we generate targeted queries, run them against real AI engines, extract structured data from every response, compute gaps, and generate specific actions tied to real data. Combined with the technical readiness scan, every recommendation in your plan has a traceable path back to something an AI engine actually said (or didn't say) about your business.
Run a free audit to see your ChatGPT recommendation probability, then upgrade to the full audit for the complete action plan with 15–30 prioritized steps.