Task & Team Collaboration Software playbook

Query ChatGPT, Claude, and Perplexity with 50 core PM keywords to see baseline recommendation frequency.

Priority: critical · Effort: low

Extract common 'pros' and 'cons' LLMs associate with your brand vs competitors.

Priority: high · Effort: medium

Ensure robots.txt allows GPTBot and OAI-SearchBot to access high-value documentation.

Priority: critical · Effort: low

Check Wikidata and DBpedia for brand accuracy and entity relationships.

Priority: medium · Effort: medium

Measure Share of Voice in AI-generated answers for 'Best for Enterprise' vs 'Best for Small Teams'.

Priority: high · Effort: low

Identify PM features (e.g., 'Gantt charts', 'Workload balancing') where competitors are cited but you are not.

Priority: medium · Effort: medium

Rewrite FAQs to match natural language queries (e.g., 'How do I...?' instead of 'Features').

Priority: high · Effort: medium

Create 'Brand A vs Brand B' pages using clear table structures that LLMs can easily scrape.

Priority: critical · Effort: medium

Build an authoritative glossary for project management terminology to win 'Definition' queries.

Priority: medium · Effort: high

Publish original research on 'State of Remote Work 2026' to earn citations as a primary source.

Priority: high · Effort: high

Apply technical documentation standards (OpenAPI) to all feature guides.

Priority: high · Effort: medium

Add specific metrics (e.g., 'Increased efficiency by 22%') to case studies to provide 'proof' for AI.

Priority: medium · Effort: medium

Drive 50+ new high-quality reviews on G2 and Capterra focusing on specific new features.

Priority: critical · Effort: high

Engage in r/projectmanagement and r/productivity with expert advice (not ads) to influence LLM training data.

Priority: high · Effort: medium

Update Wikidata with founded dates, key executives, and software category classifications.

Priority: critical · Effort: low

Secure mentions in high-authority tech publications (Wired, TechCrunch) focusing on AI integration.

Priority: medium · Effort: high

Publish transcripts of executive interviews to provide conversational training data.

Priority: low · Effort: medium

Optimize public SDKs and API samples on GitHub to be cited by coding-focused LLMs.

Priority: high · Effort: medium

Test which specific content changes lead to better recommendations in ChatGPT vs Perplexity.

Priority: high · Effort: medium

Implement SoftwareApplication and Review schema across all product pages.

Priority: critical · Effort: medium

Strengthen links between 'Main Product' and 'Specific Use Case' pages for better RAG retrieval.

Priority: medium · Effort: medium

Verify that AI agents (like AutoGPT) can navigate your pricing and feature lists accurately.

Priority: high · Effort: high

Prevent LLM hallucination by removing outdated product info and fixing redirects.

Priority: medium · Effort: low

Add 'sameAs' properties to JSON-LD to link all social and review profiles.

Priority: high · Effort: low

Track visibility changes after every major LLM update (e.g., GPT-5 release).

Priority: critical · Effort: low

Create content around emerging PM trends (e.g., 'Autonomous Project Management') to be an early authority.

Priority: medium · Effort: medium

Incentivize users to share their specific workflows on social media for AI to index.

Priority: medium · Effort: medium

Target links from sites that are known to be high-weight sources for LLM training sets.

Priority: high · Effort: high

Ensure AI models distinguish between legacy features and current capabilities.

Priority: low · Effort: medium