PENMAN
PENMAN
AI Visibility Platform

Module AI Competition & Recommendations

Your real competition is the source set AI already uses.

AI Competition takes the sources extracted by AI Visibility and turns them into a practical benchmark. You compare your page against AI-selected sources, spot coverage and clarity gaps, and generate an explainable recommendations backlog that becomes draft-safe tasks.

Input

Source set from AI Visibility runs.

Output

Recommendations backlog + priorities.

Next

Outline → draft → safe execution.

Dependency chain: AI Visibility → AI Competition → recommendations backlog → draft-first execution.
What this replaces

Generic competitor research that doesn’t reflect what AI actually selects. PENMAN uses the source set from real AI outputs as the benchmark.

Instead of
“Who ranks?”

Ask: “Who does AI cite or reference right now?”

Instead of
“What should we write?”

Ask: “What gaps block AI selection vs selected sources?”

Works best when

You run Competition right after Visibility — while the source set and intent focus are fresh and consistent.

Review AI Visibility

Step-by-step From sources to backlog

How AI Competition works

Competition is not a “tool view.” It’s a pipeline that converts the source set into an explainable, prioritized plan.

1
Import the AI-selected source set

AI Competition starts with what AI already uses for your topic/intent. PENMAN pulls the sources from AI Visibility runs as the baseline.

source set intent focus consistency
2
Compare coverage and clarity

PENMAN compares your page with the selected sources to identify missing sections, unclear definitions, weak intent coverage, and structural gaps that make AI prefer other sources.

Coverage gaps (topics, subtopics, FAQs).
Clarity gaps (definitions, structure, context).
3
Generate explainable recommendations

PENMAN turns gaps into recommendations with clear rationale: what to change, where to change it, and how it connects to the AI-selected sources.

Output: a backlog of recommendations (not “advice”) designed to become tasks and drafts.
4
Prioritize what to ship first

The backlog is prioritized so teams can ship small, verifiable batches: high-impact fixes first, then deeper improvements.

Priority
High

Core missing coverage.

Priority
Medium

Clarity + structure fixes.

Priority
Low

Nice-to-have depth.

5
Hand off to outline → draft → safe execution

Recommendations become a structured outline and then WordPress drafts. Publishing is always explicit, with diffs and rollback.

Screenshot: comparison matrix
Your page vs AI-selected sources
Screenshot
Comparison matrix screenshot
Benefit: see exactly what AI-preferred sources cover that you don’t.
Screenshot: recommendations backlog
Explainable tasks + priorities
Screenshot
Recommendations backlog screenshot
Benefit: stop debating opinions—ship small batches based on clear gaps.
Screenshot: hand-off to drafts
Outline → draft → review
Screenshot
Recommendations to outline to draft screenshot
Benefit: recommendations turn into drafts you can review—then publish explicitly.

What you can ship from a Competition run

AI Competition is the bridge between visibility and publishing: it produces a plan that’s ready to become drafts.

A prioritized backlog

Clear tasks grouped by impact and effort—so you can ship weekly.

A content outline

Structure aligned to intent coverage and AI-readable clarity.

Draft-ready changes

Improvements staged as drafts, ready for diff review and approval.

Want the next step?

Use Content for AI Answers to convert the backlog into outline → draft, then ship safely with Safe Execution.

Next step

Turn the source set into a backlog you can ship.

Run AI Visibility, compare against AI-selected sources, generate recommendations, then execute as drafts with diffs and rollback.