Why Slingso is built the way it is

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. 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 team member you onboard to run the AI Purchase Channel. It watches, diagnoses, writes, waits for your approval, ships, then measures whether the action moved the needle — 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.

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.

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.

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.

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.

Share of voice is easy to measure and emotionally satisfying — "your brand appeared in 72% of responses." It also does not map to revenue. A brand can show up constantly as the fifth option and lose every purchase to the first one mentioned.

The leading metric we care about is purchase likelihood: how likely a given AI assistant is to recommend your product, in a given scenario, to a shopper in active purchase intent. It is harder to measure. It connects to revenue. That is the trade we are making.

Support tickets rot. Founder-led support does not. When you email [email protected] today, one of us reads it and replies — not a tier-one rep reading a script. That changes when it has to change, but we will keep it this way as long as we can.

Slingso is early. The way we find out what brands actually need is to talk to the brands. Outsourcing that to a queue would be outsourcing the product development feedback loop, and we are not going to do that on day 90 of building.

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.