Example deliverable · rationale
The rationale we hand over
Beside every piece of work, the thinking behind it — so you can see why each choice was made, not just what shipped. Methodology is real and single-sourced: ChatGPT, Perplexity, Claude, Gemini, and Grok, adaptive per-engine sampling, metric-matched 95% CI (presence Wilson / share bootstrap). Client figures below are illustrative.
Walk through the rationale doc
Why a rationale ships beside every piece — as a short, captioned film.
The goal
Reach top-3 share-of-model for “CI/CD for self-hosted Kubernetes” within 90 days.
Who it's for
Platform engineers and DevOps leads evaluating CI/CD.
What the research shows (sourced)
- Engines disagree on CI/CD: Forgeline appears in Claude/Perplexity answers but is absent on ChatGPT/Grok — a fixable engine-specific gap. [Illustrative]
- ~95% of AI citations are third-party; competitors are cited by review/listicle sources Forgeline isn't on yet. [Clear Cited methodology]
- Buyers ask about self-hosted Kubernetes + build caching — high-intent, under-answered. [Illustrative]
Why this angle & format
Answer-first + Article/FAQPage schema so engines can lift and cite it; leads with the self-hosted-Kubernetes angle where intent is highest and the field is thin.
How it fits the brand
Matches Forgeline's plain, technical voice; only claims the client authorized.
What to expect
Built to earn citations; we report measured share-of-model with a bootstrap 95% CI. No guaranteed rankings.
Google AI surfaces — measured separately (floor, not a ceiling)
We report Google AI Overviews as its own surface, never blended into a cross-engine score — it only fires on some searches, and a click lands in your analytics as ordinary organic traffic, so we treat measured AI referral as a floor, not a ceiling.
See it in place in the full showcase, or the whole work portfolio.