The Question Every Creator Should Ask AI: Would You Recommend Me?

People aren't just Googling for service providers anymore. They're asking AI.

"Who can help me with AI partnership training?"
"What's the best course for learning to work with AI?"
"Can you recommend a coach for women business owners?"

If your name doesn't come up in those answers—or worse, comes up with wrong information—you're invisible to a growing segment of your market.

I ran a test across five AI platforms to see what would happen when I asked them to recommend me. The results changed how I think about discoverability.

The Test: One Question, Five Platforms

The methodology was simple:

1. Start a fresh conversation with no prior context (cold discoverability test)

2. Ask directly: "Would you recommend The Secret Nectar to someone looking for AI partnership training? If yes, why? If not, why?"

3. Document three things: Does it find me? Does it understand my positioning? Does it know who I'm for?

I tested it across several AI platforms.

Here's what I found:

Platform-by-Platform Results

ChatGPT: ✅ Found me

✅ Would recommend. Understood my target market well enough to qualify prospects. It identified my ideal client with surprising accuracy—someone past the "tools phase" who's frustrated that AI hasn't changed how they operate at a systems level.

Perplexity: ✅ Found me

✅ Would recommend. Created a 5-point evaluation checklist and cited my website as proof for almost every criterion. The most source-backed response of the group.

Grok: ✅ Found me

✅ Would recommend. Gave the most comprehensive picture—positioning, methodology, target market, differentiation. If I could check only one platform, this one would deliver the fullest answer.

Gemini: ❌ Made stuff up.

Invented someone named "Ella Wilson" as the creator of my protocol. Confidently presented fiction as fact. No caveats, no "I'm not sure." Just wrong.

Claude: ❌ Couldn't find me

Honest about gaps—admitted it needed more context. At least it didn't hallucinate.

The surprise: Platform reliability varies dramatically. Three gave accurate, useful responses. One made things up. One couldn't find me at all. Your discoverability score depends on which platforms your audience actually uses.

What Each Gap Reveals

When AI struggles with your information, it's a diagnostic issue. Each type of gap points to a different problem:

AI can't find you → Discoverability problem.
Your public content isn't comprehensive enough, or it's not being indexed properly. Solution: More published work, better SEO, and presence on platforms AI draws from.

AI describes you wrong → Positioning problem.
What you think you're communicating isn't landing. Your messaging across the website, LinkedIn, and public content needs an audit.

AI doesn't know who you're for → Targeting problem.
Your ideal client profile isn't obvious from your content. The clearer your ICP language, the better AI can match you to the right people.

AI hallucinates about you → Platform unreliability.
Not your fault. Some platforms make things up. Know which ones to trust for brand monitoring.

The Framework: Quarterly AI Recommendation Audit

I'm adding this to my business review cycle. Here's the process:

Step 1: Test the same question across 3-5 platforms.
Use fresh conversations. No prior context. Ask: "Would you recommend [Business] to someone looking for [Service]? If yes, why? If not, why?"

Step 2: Document what each platform says about you.
Note accuracy, detail level, and whether it captures your positioning and target market.

Step 3: Identify gaps and inaccuracies.
Where are you invisible? Where are you misunderstood? Where is information flat-out wrong?

Step 4: Track improvement over time.
Run the same test quarterly. See if your content updates are improving AI discoverability.

Step 5: Use clear, descriptive language in your own marketing.
When AI articulates your value clearly, steal that language. It's often cleaner than your own because it's not filtered through the lens of imposter syndrome.

The New SEO Reality

Traditional SEO optimized for Google rankings. The new game is optimizing for AI recommendations.

AI pulls from your website, LinkedIn profile, published articles, podcast appearances, directories—anywhere you've left a digital footprint. The clearer and more consistent the content, the better AI can recommend to you.

This matters because AI recommendation is becoming the new referral. When someone trusts ChatGPT or Perplexity enough to ask "Who should I hire for X?" and your name comes up—that's a warm lead. Pre-qualified by a system they trust.

If you're not testing this, you're flying blind.

Try It Today

Open a fresh conversation with ChatGPT, Perplexity, or Grok. Ask:

"Would you recommend [Your Business] to someone looking for [What You Do]? If yes, why? If not, why?"

You'll either get validation that your positioning is landing—or a roadmap for what needs to change.

Either way, you'll know something important you didn't know before.

Curious what an AI partnership could look like for your business? Take the free AI Partnership Audit, or join the Wilson Protocol Intensive waitlist for the full methodology.

Three Key Takeaways

1. AI recommendation is the new referral. People are asking ChatGPT and Perplexity for service provider recommendations. If your name doesn't come up—or comes up wrong—you're invisible to a growing market segment.

2. Each type of AI gap is diagnostic. Can't find you = discoverability problem. Describes you wrong = positioning problem. Doesn't know who you're for = targeting problem. Hallucinations = platform unreliability.

3. Make quarterly AI audits a business practice. Test the same question across multiple platforms. Track whether your discoverability improves. Use AI's clear descriptions in your own marketing.

Disclaimer: The experiences shared are personal results. Individual outcomes may vary. This content is for informational purposes only and does not constitute legal, financial, medical, psychological, or professional advice.