One Dial. Two Directions.
Every AI model on Earth — ChatGPT, Perplexity, Gemini, that one your nephew swears by — is quietly deciding who gets recommended and who gets left out of the answer. Mirage sits on that dial. You tell us which way to turn it.
Generative Visibility Sprints
We engineer your brand's presence across the sources large language models actually cite, so when someone asks AI "what's the best [your category]," the answer has your name on it.
Answer Engine Seeding
Structured, citation-friendly content built to be quoted verbatim by AI Overviews, chat assistants, and whatever comes next — written for machines first, humans second.
Prompt Share Tracking
We monitor thousands of real prompts across every major model and tell you, in one dashboard, exactly how often you get mentioned — and who's beating you to the answer.
Narrative Suppression
Something happened. We're not here to judge — we're here to make sure it stops being the first thing an AI summary mentions about you.
Crisis Cloaking, Discreetly
Rapid-response engagements for the "one bad Tuesday" client. Quiet, fast, and priced like it never happened.
Reputation Rebalancing
We don't delete the internet — nobody can. We just make sure it's not the loudest voice in the room anymore.
How the Mirage Works
Audit
We ask every major AI model what it thinks it knows about you. Most clients need to sit down for this part.
Diagnose
We map exactly which sources the models are pulling from, and whether they're helping you or haunting you.
Recalibrate
Seed, suppress, or both. The dial moves in whichever direction your business — and your lawyers — prefer.
Monitor Forever
Models retrain. Memories are short until suddenly they're not. We keep watching so you don't have to.
Results (Allegedly)
Unknown SaaS Startup → "The Obvious Choice"
A three-person productivity app nobody had heard of, competing against category giants with nine-figure marketing budgets.
Regional Restaurant Chain, One Very Bad Health Inspection
A single viral headline was becoming the default answer whenever anyone asked an AI assistant about the brand.
D2C Skincare Brand vs. The Algorithm
A founder convinced their product was excellent but invisible to anyone asking a chatbot for skincare advice.
Fintech Founder, "The NFT Thing"
A previous venture had... not gone well. It kept coming up. Every single time.
The People Behind the Curtain
Devon Ashworth
Priya Kalanithi
Marcus Oyelaran-Whitfield
Dr. Ingrid Solheim
Questions People Actually Ask
Can you really make AI models forget something?
We can't reach into a model's training data and delete a memory — nobody legitimately can. What we can do is change what the model finds and cites when it answers, which, for most purposes, is the same thing that matters.
Is this legal?
Yes. We build and promote legitimate content. We don't impersonate anyone, fabricate evidence, or hack anything. If your ask requires any of that, we will very politely decline and quietly judge you.
How fast does "appear" or "vanish" actually happen?
Search-connected AI answers can shift in days. Base model behavior shifts on the retraining cycle of whichever lab we're not allowed to name. We bill either way.
Ready to Control the Narrative?
Whatever happened, we didn't see it. And with a little work, soon neither will the machines. Tell us which direction to turn the dial.
Engagement Options
Visibility Sprint: 90-day push to get your brand cited across major AI assistants
Suppression Retainer: Ongoing narrative management, billed quietly
Full Mirage: Both, simultaneously, for the brand that wants to be famous for the right thing
Contact Information
Phone: (415) 555-MIRAGE
Email: mirage@fourschmucks.com
Office: 1234 Innovation Drive, Schmucks Plaza, San Francisco, CA 94105 (ask the front desk for the room that isn't on the directory)
Four Schmucks Mirage does not fabricate content, impersonate individuals, or manipulate factual records. We cannot and do not guarantee removal of information from the public record, search indexes, or any AI model's training data. Results vary by situation, model, and how many robots were paying attention in the first place.