A letter to D2C founders: one question I can't stop thinking about.

Dear founders,

I want to start by saying - genuinely - thank you. The response since I opened up the advisory has been more than I expected - the calls, the DMs, the founders who forwarded my note to their teams. I'm grateful for it.

I've been working in this space for several months now, and a pattern has emerged across nearly every conversation. I want to write to you about it openly, because I think it matters for anyone thinking about how their brand shows up in AI search right now.

The pattern I keep seeing

Almost every conversation has had the same shape.

A founder books a call. We talk about the brand visibility audit - the foundations sprint, the real estate mapping, the AI visibility scoring across ChatGPT and Google AI Overviews.

And then I watch the energy in the call shift toward one thing: the score.

The foundations work? Polite nods. But the magnetism was clearly in the number.

I've been wrestling with this. And I'll admit - I genuinely asked myself whether I should drop the full audit for first-time clients. Lead with the score. Give people what they're asking for. Build foundations work as a follow-on if they want it.

It would have been easier. It would have closed deals faster. I almost did it.

I didn't. And this letter is my attempt to explain why - to you, and honestly, to myself.

Why the score alone isn't the answer

Here's what I keep coming back to.

When ChatGPT or Google's AI Overviews recommends a brand, it isn't pulling from a single ranking algorithm you can game. It's synthesising signals from across three types of real estate your brand sits on:

• Owned real estate - your website, product pages, blog, structured data, FAQs. The land you fully control.
• Rented real estate - your Amazon, Shopify, marketplace, retailer, and social platform presence. Land you lease, under someone else's rules.
• Borrowed real estate - third-party reviews, press, Reddit threads, YouTube creators, comparison articles, podcast mentions. Land you can only influence.

A model doesn't see your "AI visibility score." It sees the coherence (or chaos) across all three. The score is just what falls out the other end.

So when a founder asks me for the score in isolation, the honest answer is - that's not the entry point I sell. I do track it monthly for clients, once the bootstrap audit is done and the findings are being addressed. But a score on its own, up front? You'd feel informed. You might even feel good about it for a week.

But without the foundations map underneath, you'd have no idea which lever actually moves the number. And in my (admittedly short) experience watching how founders react to a number in isolation, the next move is usually the wrong one - more ads, more content, an "AI SEO" hire who promises a fast climb.

That's the version of this work I don't want to be part of.

What the work has taught me so far

I'll resist the temptation to claim deep pattern recognition - this space is moving fast and I'm still learning. But here's what I've picked up working with D2C brands on AI visibility:

1. Founders are anxious about AI visibility, and rightly so. The shift from search engines to answer engines is happening faster than most marketing teams are prepared for. The anxiety is real, and the desire for a quick read on "where we stand" is completely reasonable.
2. The score is being treated like a credit score. It isn't one. A credit score is stable, standardised, and acted on in known ways. An AI visibility score is dynamic, model-specific, and only useful when paired with the why underneath it. Treating it like a credit score leads to the wrong instincts.
3. The real estate framing helps. When I walk founders through owned / rented / borrowed, something clicks. They stop asking for the score and start asking which type of real estate they're weakest on. That shift - from metric thinking to footprint thinking - is, I think, the entire point of doing this work properly.
4. The brands that will win in AI search aren't the loudest. They're the most coherent. Models reward coherence across surfaces. A website saying one thing, an Amazon listing saying another, and a two-year-old Reddit thread saying a third - that's the silent killer of AI visibility. And it's invisible until you map it.

A question for you

Before I close, I want to actually ask you something - because I'm still sitting with it, and your perspective genuinely matters.

For context: my full audit takes one week. Not six, not twelve. So speed isn't the trade-off here - what I've been wrestling with is whether to ever offer a score-only version as the entry point, at any price point.

If a vendor offered you just your AI visibility score - no foundations work, no real estate map, no fix list - would you take it?

I suspect most honest answers are yes, at first. And I understand it. You want signal, fast, before committing to anything bigger.

But the follow-up I'd ask back: what would you actually do with that number?

This is the question I couldn't let go of. And it's why, for now, I'm not selling a score-only audit as the entry point - even when I know it would close deals faster. If you're going to spend a week letting me into your brand, you should walk out with something you can actually act on.

What you get in the full audit

To be clear about what I'm offering, here's what walks out the door with you:

1. Your AI visibility score across ChatGPT and Google AI Overviews. You still get it.
2. A real estate map - what you own, rent, and borrow, and where the gaps are.
3. A prioritised fix list - the 20% of foundations work that will move 80% of the score.
4. A competitive benchmark - the three to five brands models recommend instead of you, and why.
5. A 90-day growth motion - specific plays for each type of real estate.

The score tells you where you are. Everything else tells you how to get somewhere better.

To close

My thinking on a lot of things will evolve as I work with more of you. But on this one, the signal has been clear enough that I felt the need to write it down - partly as a learning log for myself, partly as a letter to anyone in the D2C space who's been told they need to "score well in AI" without being told what that actually means or costs.

I'd love to hear from you:

• Have you been tempted by the "just give me the number" pitch?
• If you've already run an AI visibility check somewhere, did the score actually translate into action?
• What would you have wanted to know alongside the score for it to be useful?

Reply, comment, DM - whichever's easiest. I read everything.

And again - thank you for the response so far. It's the reason I'm writing this letter instead of quietly changing the offering.

Warmly,
Neeru

If this resonated, forward it to your marketing lead. The AI visibility conversation is only going to get louder, and the brands that get the foundations right early are going to look very obvious in hindsight.