FunnelLeaders Insights
Short, source-backed ideas for founders and B2B marketers who need to understand what changed, what still works, and what to build next.
No daily AI-news recap. Only changes that affect discoverability, production, or pipeline.
Playbooks
Long-form, implementation-level guides that are live now.
Playbook · Website
A practical framework for rebuilding or migrating a ranked website with redirect discipline, content parity, rollback planning, technical QA, and post-launch monitoring.
Read the migration playbook
Playbook · Operating Model
How one senior operator can combine strategy, weekly shipping, experimentation, automation, and measurement without recreating a traditional agency.
Read the AI CMO playbookField Notes
Eight practical articles grounded in the FunnelLeaders methodology, operating model, and clearly disclosed case evidence.
AI can cite your page without naming your brand. Learn the difference between information authority, visible brand mentions, and recommendation language — and why comparison content changes the outcome.
Three takeaways
What to baseline, build, distribute, and measure in the first 90 days — without promising an algorithmic result on an artificial deadline.
Three takeaways
llms.txt can—and cannot—dollms.txt may help document important content for emerging AI workflows, but it is not a magic ranking file. Use it as a compatibility layer, not as a substitute for crawlability, evidence, or authority.
Three takeaways
Most weak AI content is not a model problem. It starts with an empty brief, unapproved facts, no point of view, and no acceptance criteria.
Three takeaways
Move beyond keyword lists. Map the questions buyers ask about problems, categories, comparisons, risks, implementation, pricing, and internal buy-in.
Three takeaways
The model creates extraordinary capacity for structured digital work. It fails when no one can validate facts, approvals are unclear, or specialist responsibility is hidden.
Three takeaways
A buyer may discover you in ChatGPT, validate in Google, return directly, and convert through a branded page. Here is how to capture evidence without pretending one source caused the entire deal.
Three takeaways
SaaS buyers validate features, integrations, alternatives, and security. Service buyers validate expertise, process, regional relevance, and delivery risk. The content and authority systems must reflect that difference.
Three takeaways
Get source-backed analysis on AI search, agent workflows, content operations, and measurement. No recycled tool lists.
Discuss your growth systemNo daily AI-news recap. Only changes that affect discoverability, production, or pipeline.