PHILOSOPHY

Why Slingso is built the way it is

Most product choices are trade-offs. A few are beliefs. These are the beliefs — the conscious decisions behind what Slingso does, what it refuses to do, and why we will probably never change our mind on any of it.

What is the AI Purchase Channel? →

An agent, not a dashboard

Every AI visibility tool we looked at ended the same way: a chart, a score, a recommendation — and then you. Your team. Your weekend. Your Google Doc titled "AI SEO Ideas Q2." Dashboards are honest about what they are: they show you a problem and leave the solving to you.

That is fine for a measurement layer. It is not fine as a product. The choice for a brand entering the AI Purchase Channel is simple: results driven by an agent, or another dashboard for your team to drown in. Brands don't come to us because they can't see that AI assistants are ignoring them. They come because they can see it and they don't have time to fix it.

So Slingso is an agent. Specifically: it is the AI agent you onboard as the dedicated AI Purchase Channel Manager. It watches, diagnoses, writes, waits for your approval, ships, then measures whether the action moved Narrative Accuracy or Purchase Likelihood — and then it does it again tomorrow. You open the dashboard when something needs your sign-off, not when you need to remember where the work stands. If we've done our job, the agent is the product. The dashboard is just where you approve what it made.

Fixed plans. No credits.

Most of our competitors use credits. You buy 1,200 of them, each query burns a fraction, and somewhere in the small print you find out that "1 credit = 1 prompt × 1 engine," which means a meaningful weekly run actually costs 400 credits, which means you'll need the $780 plan, which means you should probably just call sales.

We don't do that. You pay for a plan. The plan covers a fixed number of scenarios, running daily, across a defined set of AI assistants. Nothing meters. Nothing rolls over. Nothing runs out at 11pm on a Tuesday.

This costs us some margin. It is worth it. Your monthly bill matches your monthly plan — the agent works every day without you ever checking a usage meter. That is the deal we want to offer.

ChatGPT and Google first. Everything else when it matters.

Day one

ChatGPT ChatGPT Google AI Overviews Google AI Overviews Google AI Mode Google AI Mode Gemini Gemini

Next in

Perplexity Perplexity Grok Grok

Not yet

MS Copilot MS Copilot Claude Claude + DeepSeek, Meta AI, Mistral…

Some platforms advertise coverage across eleven AI assistants. Claude, DeepSeek, Meta AI, MS Copilot, Grok, Mistral, and so on. It looks impressive. In practice, most of these have tiny consumer shopping volume today — checking them is performative.

We build for where shoppers actually research and buy. That means ChatGPT (the dominant surface), Google's AI surfaces — AI Overviews and the dedicated AI Mode SERP, increasingly replacing classic results — and Gemini, which ships on every Android phone. Perplexity comes next because its shopping UX is real. Grok gets added at Scale because it is growing. We'll add more when they start moving purchases, not when they start trending on X.

MS Copilot is a deliberate omission today. We'll build the provider script when enough of our brands' shoppers use Copilot for purchase research. Right now they don't. Shipping a feature because a competitor ships it is how products get bloated. We would rather move the engine list when the data does, not before.

We absorb the complexity so the brand doesn't have to

The AI purchase channel is early and messy. Google changes how AI Mode renders every few weeks. ChatGPT Shopping loosens and tightens its citation behaviour. Perplexity starts and stops shopping links. Headless Chrome fingerprints get flagged. Scraping paths rot.

None of that should touch the brand. A DTC founder should not need to know the difference between AI Overviews and AI Mode, or whether a specific provider needs the AIO click-through path today versus direct access next month. We keep that mess inside. The brand sees its purchase likelihood, its competitors, and the content the agent wrote. Nothing else.

This is why our plans are small and opinionated. Seats, projects, engine toggles, per-region add-ons, credit packs, audit counters — all of it is exhaust. Brands want one thing: their products recommended when shoppers ask AI what to buy. Everything else is our problem.

Approval is non-negotiable

The agent can research, draft, critique its own drafts, and rewrite them. It cannot publish without you. Ever. Not on Scale, not on Founders Edition, not "after you opt in." There is no switch.

This is architectural, not a feature. Brand voice is non-delegable. Legal claims are non-delegable. A competitive move is yours to make, not your vendor's. So the Create loop ends by asking. We ship on your sign-off.

A side-effect: the agent gets better at your voice because you keep correcting it. Rejections and edits become memory. Month six outputs look noticeably more like you than month one. That compounding is real; it is a direct gift of the approval gate.

Narrative Accuracy and Purchase Likelihood, not share of voice

Share of voice is easy to measure and emotionally satisfying — "your brand appeared in 72% of responses." It also does not map to revenue, and it does not tell you whether what the AI said about you was right. A brand can show up constantly as the fifth option, described inaccurately, and lose every purchase to the first one mentioned.

We track two metrics instead. Narrative Accuracy is the brand-value metric: how correctly the AI describes your brand, products, and positioning to shoppers — across both modes, assisted (the shopper in conversation with ChatGPT, Gemini, Perplexity) and delegated (the personal AI agent acting on the shopper's behalf). Purchase Likelihood is the revenue metric: how likely a given AI is to recommend your product, in a given scenario, as the purchase. Both are harder to measure than mention rate. Both connect to outcomes. That is the trade we are making.

Founder-led

Two things are true at the same time. First, when you email [email protected] today, one of us reads it and replies — not a tier-one rep reading a script. Founders answer the email. We will keep it this way as long as we can.

Second, every paying brand gets dedicated time with the founders every month — 30 minutes for Starter, an hour for Growth, 90 minutes for Scale, and a Founders' Roundtable for Founders Edition. Not product support — strategic time on the AI Purchase Channel: positioning, competitive moves, channel mix, brand narrative, gap diagnosis. We call it the Founder Bench. Booked via cal.com on a use-it-or-lose-it monthly cadence.

"Founder-led" is the architectural commitment behind both halves. Whether it's email triage or scheduled strategy time, you're talking to the people who built the product, who built channel-disrupting products at Google and Amazon before this. Not an account manager. Not a chatbot. The founders.

This breaks at scale — past roughly 150 paying customers, redemption math forces a transition from "founders only" to "founders rotating into a small Strategy Bench." When that day comes, we will name it openly. The monthly-time guarantee stays intact regardless of who is on the call. Founders rotate in indefinitely.

Custom lives behind a conversation, not a tier

SSO, SAML, multi-brand rollout, API access, custom engines, larger scenario pools, agency licensing — all real needs, all reasonable. None of them belong on the Starter plan. Putting "SSO coming on Pro" checkmarks on a self-serve pricing page is how startups accidentally become Salesforce.

If you need any of it, email us. We will build you a plan that fits. That's it. We would rather have a real conversation than a pricing table with fifty rows.

Why DTC brands, and why right now

Big brands will be fine. They have SEO teams and content studios and legal budgets. They were fine when Google changed, they'll be fine as AI changes the channel again. The brands we worry about — the ones we built Slingso for — are the fast-moving DTC and e-commerce teams doing $2M to $50M who don't have any of that. The ones running lean, running fast, trying to win a category where the buying journey just moved from Google to an AI assistant they don't own.

For those teams, an agent that does the loop end-to-end isn't a nice-to-have. It is the only way to compete with brands that have ten-person content teams. That is the brand we are building for. Everything else in this document follows from that.

If any of this resonates — let's talk

Most of what we figure out comes from brands telling us what is and isn't working for them. If that's you, the door is open.

[email protected]