luxiaolei/autospread

Make a website usable by user-triggered AI agents and machine clients without confusing agent operability with GEO ranking.

Measure brand mentions, citations, competitors, and answer gaps across a fixed, versioned prompt/query panel over time.

Validate data, explain metric movement, evaluate experiments, and connect acquisition activity to activation, revenue, and retention without overstating causality.

Define and enforce what AutoSpread may change autonomously, what requires approval, and what is forbidden.

Growth Lead method for diagnosing the biggest growth constraint, choosing the smallest useful playbook, and operating within an explicit autonomy policy.

Prepare, publish, schedule, and verify approved content through authorized APIs, CLIs, or UI automation while preserving external evidence.

Choose a small channel portfolio based on audience behavior, product demonstration fit, intent, economics, and existing evidence.

Turn verified customer problems and product evidence into a coherent content system before choosing individual posts or formats.

Produce truthful channel-ready copy, demos, images, and video from validated audience problems and product evidence.

Diagnose and improve landing, signup, onboarding, activation, paywall, and upgrade flows using observed behavior and bounded experiments.

Research customer problems, alternatives, triggers, objections, and language with traceable evidence that can change product or growth decisions.

Audit stores and product catalogs across product/category pages, variants, structured data, merchant surfaces, faceted navigation, and commercial search experience.

Make product and content pages easy for people and answer engines to understand, extract, verify, compare, and cite without treating GEO as a ranking hack.

Turn a growth hypothesis into a bounded, measurable experiment with primary metric, guardrails, observation window, and decision rule.

Diagnose the current growth constraint and allocate effort across product, funnel, acquisition, monetization, and retention.

Design and validate multilingual and multi-region search architecture, hreflang, localization, canonicals, and regional experience.

Improve activation, retention, expansion, churn prevention, and reactivation through behavior-based interventions with consent and measurable outcomes.

Audit and improve local discovery for physical, service-area, and hybrid businesses using location evidence, reputation, local pages, and business profiles.

Evaluate and change pricing, packaging, trials, offers, and upgrade paths with explicit evidence and guardrails.

Run bounded paid acquisition experiments only when audience, offer, destination, attribution, budget, and stop rules are ready.

Establish product, audience, funnel, monetization, measurement, access, and deployment facts before choosing growth work.

Diagnose search-intent and page-type mismatch by combining observed SERP patterns with user experience and conversion evidence.

Audit and improve crawlability, indexability, information architecture, page intent, structured data, performance, and search measurement.

Audit and protect SEO-critical site integrity across schema, sitemaps, images, and post-deploy drift.