max research team

Freshness

Pages are checked for current sales language, metadata quality, schema coverage, internal links, and whether the recommendations still reflect signal-led sales in 2026.

Claim boundaries

Guides avoid private-intent claims, fake certainty, guaranteed revenue promises, and unsafe assumptions about what a buyer is thinking.

Practical usefulness

Recommendations must translate best-fit customer profile, signals, assets, and outreach into a campaign a human can actually approve.

Evidence-led examples

Examples should start from visible buying triggers, public context, or first-party evidence rather than generic personalization.

Every guide is written from max's sales operating model: best-fit customer profile first, evidence second, human-approved outreach third.