Produce multi-surface optimized articles

Produce SEO-optimized articles optimized across discovery surfaces for lead generation

SaaS and service brands that need articles to generate signups/applications/consultations (not just traffic) and want to rank across Google, ChatGPT, Perplexity, and LinkedIn simultaneously.

• · Brand name and one-sentence description
• · Primary landing pages (program, pricing, signup)
• · 2-4 audience segments with pain points each
• · Voice/tone descriptors and required vocabulary
• · E-E-A-T signals (years in business, customer count, accreditations, named experts)
• · Primary conversion event (signup, consultation, enrollment)
• · Internal linking inventory (URLs, keywords, sessions, conversion rates)
• · Query data (GSC export: keywords, impressions, CTR, position)

• · Brief with target keyword, search intent classification, why-now rationale
• · 1,200-2,500 word article (optimized for search + AI answer engines + social)
• · Internal link placement map
• · CTA copy tied to conversion goal and funnel stage
• · SEO metadata (title tag, meta description)

• · Target keyword must be defined upfront
• · Content-Market Fit Rule must be articulated (what brand is NOT)
• · Editorial review chain documented

• · Without BUSINESS_CONTEXT, pain points become generic
• · Chasing high-volume keywords outside brand positioning requires disclaimers
• · No internal link strategy → missed SEO equity and conversion funnel
• · Article optimized only for Google rankings, not AI answer engines or social

• · Explicit Content-Market Fit Rule test (no disclaimers needed = good fit)
• · E-E-A-T signals required upfront (accreditations, named experts, customer count)
• · Vertical-agnostic but context-aware (gathers intent data per brand first run)
• · Conversion model explicitly tied to product SKUs and audience segments
• · Conversion ladder framework (awareness → interest → decision)