Project Open to Alpha Team

Authority Infrastructure Buildout — Reddit/Quora presence, review-platform profiles, link-velocity strategy for AI citation lift

Build out authority infrastructure across the surfaces that empirically drive AI citation lift. Reddit and Quora presence (50+ thoughtful answers across 10+ relevant topics). Review-platform profiles on G2 and Capterra and Trustpilot with active user signals. FCP under 0.4s on the brand surfaces. A link-velocity strategy that produces durable referring domains. Output is a measured before/after on citation rate and inbound, with the infrastructure live and self-sustaining beyond the trial.

Project Overview

Discipline

brand-content-producer · growth-architect · vp-brand

Duration

3 weeks

Compensation

Your stated freelance rate

Surface

Brand · Product.ai · SimplyCodes

Kernels

brand · productai · simplycodes

Outcomes

brand-entity · sc-traffic · chat-expert

Tier

Applied

Alpha Team

Open to alpha members who want to take this on

Tooling

Claude Code or Co-work

Why we want this done

The Phase 3 Content briefing is unambiguous: authority dominates substrate sophistication for AI citation visibility. Top 10 domains capture 46% of ChatGPT citations within a topic; sites with 32K+ referring domains are 3.5x more likely to be cited than those with up to 200; Trustpilot / G2 / Capterra profiles → 3x citation rate; FCP <0.4s → 3x citation lift. None of these are substrate-migration variables. A firm with low authority and perfect Markdoc / MCP / SKILL.md substrate will be invisible; a high-authority firm with traditional CMS will dominate. Product.ai today has limited authority infrastructure — Reddit/Quora presence is thin, G2/Capterra profiles are not active, link-velocity is not engineered. The candidate ships the buildout — proves the leverage hypothesis with measured before/after citation data, produces durable infrastructure that compounds for years, and creates the substrate every contrarian-depth essay benefits from.

Scope

Authority audit — current state of Product.ai and SimplyCodes on Reddit, Quora, G2, Capterra, Trustpilot, link-velocity profile (referring domains, anchor text, link recency)
Reddit/Quora — identify 10+ topic communities; produce 50+ thoughtful answers (not promotional — substantive contributions that earn the right to mention Product.ai when relevant)
Review-platform profiles — set up G2, Capterra, Trustpilot profiles for both Product.ai and SimplyCodes; seed initial reviews with real customer outreach (no fake reviews)
FCP optimization — measure current FCP on product.ai and simplycodes.com; ship the optimizations needed to hit <0.4s
Link-velocity strategy — three-month plan with specific outreach targets, content offerings, syndication partnerships
Citation instrumentation — measure baseline citation rate (Profound or equivalent vendor; statistical floor 10 samples per prompt, 7-day rolling, ±5% threshold per Phase 3 axiom F1 and F4)
Document the experiment — before/after where measurable, residual gap-flagged where not yet measurable

What success looks like

50+ Reddit/Quora answers live; quality is genuinely substantive (the team can read them and recognize they would have written them too)
G2/Capterra/Trustpilot profiles are active with at least 5 real reviews each (no fake reviews)
FCP on product.ai and simplycodes.com under 0.4s on at least the homepage and one key landing page
Link-velocity plan is concrete and executable for the next 3 months; at least one new high-authority referring domain lands during the trial
Citation baseline is captured with statistical methodology applied; the candidate makes the right caveats
Documented learning — what moved, what didn't, what's the next high-leverage layer

References

references.md

Content Phase 3 briefing axiom C1 (Authority Dominates Substrate Sophistication), F1 (Citation Drift Forcing Function + Statistical Methodology Load-Bearing), F4 (Statistical Methodology), A2 (Generic AI Content Failed)
Profound primary data on citation drift (Google AI Overviews 59.3%, ChatGPT 54.1%, Microsoft Copilot 53.4%, Perplexity 40.5%)
Princeton ACM KDD 2024 Information Gain study (expert quotes +41%, statistics +30%, formal citations +30% citation lift)
Reddit / Quora best-practices for substantive contribution
G2 / Capterra / Trustpilot platform documentation
FCP optimization reference (Web Vitals, Cloudflare optimization)

Constraints

Claude Code or Co-work as primary substrate
No fake reviews under any circumstances — review-seeding via real customer outreach only
Reddit/Quora answers must be substantive — promotional answers without genuine substance are spam and a fail
Statistical methodology applied to citation baseline — minimum 10 samples per prompt, 7-day rolling, ±5% threshold per axiom F1
3-week duration cap; if scope creeps, the candidate negotiates the trade-off explicitly
Link-velocity strategy must be executable beyond the trial — not "I made a list of dream partners" but "here are the three relationships I started during the trial"

Apply

Read the Codex (10 min)

The operating principles we work by. If they resonate, the rest of this will land. Open the Codex →

12-minute video screen

Hireflix, async. Questions are calibrated to this project specifically.

Chemistry call (30-60 min)

Direct call with the CEO. Strategic alignment and mutual fit. No problem-solving exercise.

Project begins within 2-3 weeks

1099 contractor agreement, NDA, paid at your stated rate. Day 1 in Santa Monica.

Alpha Team members can take this project without the screen-and-call sequence. Reach out via the Alpha Team channel.

Apply for this trial Browse other projects

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