Distribution System · AI Visibility Engine

The Citation Geyser

One structured answer. Five AI engines fed. The Citation Geyser routes each of your 24 authority signals to the exact platform each AI engine reads from — simultaneously, from a single publishing workflow.

What the Citation Geyser is

The Citation Geyser is the distribution module inside The AI Visibility Engine. Where the 24-Signal Authority Method builds your content, the Citation Geyser routes it. Each AI engine reads from different sources — Google AI Overviews prefers your domain's schema-marked pages, Gemini prefers your GBP posts and YouTube videos, Perplexity prefers fresh Reddit threads and dated blog content. The Citation Geyser maps each signal to each engine's preferred feed and delivers them in a single weekly workflow.

Google AI Overviews
Reads: Static HTML pages on your domain with FAQPage schema markup, E-E-A-T signals, structured headings, and consistent entity data.
Publish: Domain FAQ/SAQ pages
Gemini
Reads: Google ecosystem — GBP posts, YouTube videos, Google-indexed structured data, Reddit community discussions.
Publish: GBP + YouTube + Reddit
ChatGPT
Reads: Authoritative long-form content on owned domains, LinkedIn posts from credentialed authors, third-party mentions in established media.
Publish: Domain articles + LinkedIn
Perplexity
Reads: Recently published, dated content. Reddit community threads. Blog posts with real data, citations, and current timestamps.
Publish: Fresh blog + Reddit
Claude
Reads: In-depth, nuanced long-form content. SAQ articles that go deeper than any competing source on the specific topic.
Publish: Deep SAQ long-form
The Evolution

Traffic Geyser vs. Citation Geyser

Mike Koenigs' Traffic Geyser (2005) was the original content distribution breakthrough. The Citation Geyser is its AI-era successor — built for a world where citation beats traffic every time.

Traffic Geyser — 2005 Era
Upload video once, push to 50+ platforms
Goal: generate traffic and backlinks
Spray and pray distribution model
Measured in views and clicks
Software-dependent automation
Any business could use it
Traffic was the prize
Citation Geyser — 2026
Structure one signal, route to 5 AI engines
Goal: earn citations inside AI answers
Precision routing to each engine's preference
Measured in citation count and citation depth
Strategy-first, tool-agnostic
Built for credentialed experts with deep authority
Trust is the prize
The Weekly Workflow

How to run the Citation Geyser every week

One signal. Seven publishing steps. Completed in a single 2-3 hour session once per week.

1

Choose this week's signal

Select one FAQ or SAQ question from your 24-signal bank. Write the 2-3 sentence direct answer first — this becomes the core of every asset you publish this week.

2

Publish the domain page

Create a dedicated page on your domain (or update your FAQ page) with the question as an H2, your direct answer in the first paragraph, and FAQPage schema in the head. This feeds Google AI Overviews and ChatGPT.

3

Record a BigVu video (60–90 sec)

Use your signal's answer as the [VALUE] section of a short script. Upload to YouTube with the question in the title. This feeds Gemini directly through the Google ecosystem.

4

Post to Google Business Profile

Write a 2-3 sentence GBP post using your signal's answer with your local market context. This is one of Gemini's highest-trust signals for local businesses.

5

Publish a LinkedIn post

Adapt your signal into a 250-300 word LinkedIn post with a personal story or Baltimore/market-specific detail. This builds your entity authority footprint for ChatGPT and establishes third-party credibility.

6

Post to Reddit

Share a helpful thread in your relevant subreddit (r/BaltimoreHomeAppraisals, r/realestate, r/AItools). Perplexity and Gemini both weight Reddit community content heavily for local and professional queries.

7

Send to your email list

Brief email pointing subscribers back to the domain page. This drives returning traffic — a signal all engines use to gauge content authority and freshness over time.

One signal, published across seven platforms in a single 2-3 hour session, feeds all five AI engines simultaneously. Over 24 weeks, that's 24 signals × 7 platforms = 168 content assets — built from your expertise, distributed by the Geyser.
Measuring the Geyser

The four citation metrics that matter

01

Citation count

How many times does your name or domain appear when you ask each of your 20 FAQ/SAQ questions across all five AI engines? Test weekly. This is your baseline.

Weekly test
02

Citation depth

Are you mentioned in passing, or are you the primary source cited? A passing mention is a start. Being the primary authority cited for a specific query is the goal.

Primary vs. secondary
03

Citation consistency

Does Google AI cite you? ChatGPT? Gemini? Perplexity? Each engine independently? Or just one? The goal is consistent citation across all five — that's true omnipresent AI authority.

Cross-engine presence
04

Citation conversion

Which AI engine is actually sending you leads and clients? Track which platform produces inquiries. ChatGPT converts at 14-16%, Perplexity at 10-11% — prioritize the engine that sends the best-fit clients.

Revenue attribution

Get the Citation Geyser distribution map

The free 24-Signal Blueprint includes the full Citation Geyser platform map, the weekly publishing workflow, and the citation tracking template — everything you need to start feeding all five AI engines from day one.