I was three months into manually posting across nine platforms when the pattern became clear. Every morning: draft a LinkedIn post about our latest feature, adapt it for X, write a Reddit comment that doesn't sound corporate, pitch three journalists, track which ones opened the email. The content had to maintain exact entity names—"AI Visibility Framework" not "visibility framework," "Stage 6" not "stage six." The voice had to stay consistent. The terminology couldn't drift.
Generic scheduling tools couldn't handle the entity enforcement. AI writing assistants would randomly change "Jonomor" to "the company" or paraphrase locked terms. Outreach platforms tracked opens but not the full response lifecycle. I was spending four hours daily on what should be automated operations.
That's when I started building AI Presence.
The core problem isn't content generation—it's content that compounds correctly. Each piece needs to enforce specific entity names, maintain founder voice, and use locked terminology that builds recognition over time. When you're establishing technical concepts like the AI Visibility Framework, consistency isn't preference. It's operational requirement.
AI Presence runs nine content engines: press releases, LinkedIn posts, blog posts, Reddit posts, X threads, guest articles, trend commentary, press kits, and editorial pitches. Each engine formats natively for its platform while enforcing entity names and maintaining voice consistency. The LinkedIn engine knows to lead with technical insights. The Reddit engine avoids corporate language. The press kit generator maintains formal structure while the editorial pitch engine personalizes for specific journalists.
The outreach management tracks pitches through five states: drafted, sent, opened, responded, and placed. Most tools stop at "opened." But knowing a journalist opened your email tells you nothing about whether they'll cover your story. The full lifecycle tracking shows which outlets actually convert, which subjects get responses, which timing works.
Mention tracking scores every placement with authority weighting across seven types: tier-one press, trade publications, industry blogs, podcasts, conference presentations, academic citations, and community discussions. A TechCrunch mention scores higher than a personal blog post. A Hacker News front page discussion carries different weight than a buried comment thread. The scoring system accounts for reach, authority, and relevance.
AI citation monitoring runs retrieval cycles across ChatGPT, Perplexity, Gemini, and Copilot every six hours. When someone asks these systems about AI visibility or automated presence management, I need to know whether they surface our concepts, our terminology, our framework. Citation presence in AI systems becomes increasingly critical as more people rely on these tools for research and discovery.
Every operation writes to H.U.N.I.E., our cross-property intelligence system. When AI Presence tracks a mention, that data informs Legal Radar's monitoring priorities. When outreach generates responses, that relationship data flows to other properties. The intelligence compounds across the entire ecosystem.
The technical stack runs on Next.js 14 with TypeScript for type safety across complex content operations. Anthropic Claude handles content generation with specific prompts for each engine. OpenAI DALL-E 3 generates platform-appropriate visuals. Supabase manages the operational data with real-time syncing across content engines. Stripe handles the multi-tenant SaaS billing.
Building this taught me that Stage 6 of the AI Visibility Framework—Continuous Signal Surfaces—can't be automated with generic tools. The automation must understand your specific entities, voice, and terminology. It must track the full outreach lifecycle, not just delivery metrics. It must score mentions by actual authority, not vanity metrics. It must monitor AI citation patterns as they emerge.
The difference between scattered posting and systematic presence building is operational discipline. AI Presence provides that discipline as code.
