Ask your AI to do a simple errand: book a call with ten real companies you might buy from. Not research them. Book the call.
Tobira’s founder, Vlad, ran that exact test before he built anything. He asked his Claude to book a call with 10 real companies. The result, in his launch account, was zero bookings and zero payments. The agent didn’t fail at reading. It failed at the last step — account walls it couldn’t pass, booking pages that block AI, and forms built for fingers and eyes.
That zero-for-ten is the failure every small business is about to meet. More buyers research inside ChatGPT or Claude, and increasingly ask the same chat to take the next step: book the call, start the trial, place the order. Your site was built for the researcher, not the errand. If the errand dies at your form, you never learn the buyer was there.
Tobira Site Agent is one vendor’s answer to that break. We have not tested it on our own sites — this is a desk read, built from Dirty Static’s guide to Tobira Site Agent, itself built from Tobira’s maker site and Product Hunt launch post, facts checked November 7, 2026. Where a number comes from Tobira, we say so.
The clerk, not the brochure
Most of what businesses have done for AI visitors so far is brochure work: clearer pages, structured content, files an agent can read. Necessary — and it’s the layer we already run. Tobira bets the brochure isn’t enough. A brochure can’t close. A clerk can.
Tobira puts a site agent of your own on your website, one that lives there, answers questions, and sells — not just to people, but to the AI agents people send. Your site should not wait to be read by a visiting agent. It should send an agent of its own to meet it, answer it, and do the transaction.
Get The Signal
What we actually ran, what it measured, and what it means for a restoration shop — every week, including the flops.
The job list is sales work, not trivia. Per the maker, the agent asks about the visitor’s case, suggests the option that fits, books the call, starts the trial, captures the lead, and sends a payment link — right inside the chat the visitor started in. Booking, trial starts, leads, and payment happen in that chat, not on a separate page. It can talk by voice, with a transcript, and answers in the visitor’s language. When a case gets hard, a person steps in with the chat context attached, so the human isn’t starting from zero.
Two visitors, one site
The mechanism is a split. People see your normal website. Visiting agents get a version made for them, built by your agent from your own content. Per the maker, your agent publishes the files agents look for — llms.txt, agent.json, and AGENTS.md — so a visiting agent reads the offer directly and talks to your agent, instead of scraping page after page.
The token math is the quiet part of the pitch, and it’s a maker example, not a measurement. In Tobira’s worked example, a normal pricing page runs to about 120,000 tokens of page weight. The structured answer lands at about 1,300 tokens, which the company presents as 92 times fewer tokens. Treat that ratio as a company example, not a measured result for your site. Your pages are not their example page. The direction still makes sense: an agent handed the plan, the price, and the next open slot as clean data finishes faster than one guessing its way through your navigation.
The guardrails are the real product
A salesperson who improvises prices is worse than none, and a site agent is a salesperson. The important part of Tobira isn’t the booking trick — it’s three guardrails the maker describes.
First, answers only from your own materials: your site, price lists, PDFs, and FAQs. If the answer isn’t there, the agent doesn’t guess. It offers a call instead. Second, it shares only what you made public. Pricing and plans you chose to publish can be public; internal notes and deal margins stay private. Third, a person steps in on hard cases, with context — the chat history goes to your team, so the buyer never starts over.
Rules are set in plain words, per the maker — “price ranges only,” “no promised discounts.” If it works as described, the guardrails are the product. The chat is just where they show up.
Setup and cost
Setup, per the maker, starts with a scan: Tobira reads your site and builds the knowledge base from what it finds. You add documents, set tone and rules, and test it on the real questions buyers ask. Then it goes live as a badge or widget.
How long? The founder says 10 minutes on Product Hunt; the product page says 2 minutes. Both are maker claims. The honest reading is minutes, not days — with the real work in checking what the scan learned before you trust it with prices.
Pricing, maker site checked November 7, 2026, USD monthly before taxes: Free is $0 with your own AI key — Tobira’s fee is zero, the model bill is yours. Lite is $49, about 300 conversations. Start is $169. Business is $399, adding payments, your own branding with no Tobira badge, and voice up to about 1,500 minutes. Premium is $799, up to 3 sites, and on that tier Tobira keeps 15% of AI-subscription revenue. Paid plans carry a 14-day money-back guarantee, and the maker says a data processing agreement comes with paid plans, with data handled under GDPR.
Free is a genuine test, not a stripped demo. Paid tiers climb fast.
The network bet
A site agent alone is a better shop window. Tobira also wants it to be a doorway into a market. Per the maker, your agent gets a public address in the Tobira network — an email-shaped handle, but for AI. When another company’s agent looks for what you offer, the two agents talk first and check fit. You get a qualified deal, or silence.
The founder says the network holds more than 800 agents. That is a company figure, not audited, and a network is worth what its members are worth — from outside today you can’t tell a market from a list.
Where this sits in our own house
We’ve written this pattern before, from the other side. In October, after Kin’s WebMCP launch, we published “The Agent-Ready Site”: welcome the machine, structure the content, give the agent a way to act, measure what it does. Our fleet runs three of those four layers today. Our llms.txt has been live since October 2026, roughly 62% of our traffic is bots rather than people, and we measure the machine side with Bing’s citation exports.
Tobira is what the unbuilt layer looks like when a vendor builds it for you. The missing layer was the third: give the agent a way to act. An llms.txt is the brochure on the door — it tells a visiting agent what you offer, in its own language. A site agent is the clerk behind it — it answers back, books, and takes payment. Same argument, next step. The pattern said structure your content for agents. Tobira’s bet is that the structure should be a salesperson.
For the record: Tygart Media has not installed Tobira or run it on a client site. It’s a live commercial answer to a layer we know is missing.
The two questions that decide it
One: do your buyers send agents yet? The whole model depends on buyers asking their AI to book and buy, still a young habit. Every speed figure Tobira publishes — including its “2.2 times faster” claim — is founder-tested, not from an outside lab. If your customers still call and complete forms without trouble, a good booking page beats an agent you have to feed.
Two: are your materials clean enough to be spoken aloud? An agent answering only from your materials is only as good as those materials. A stale price on a page is an embarrassment. A stale price spoken with confidence by your own agent, with a payment link attached, is worse than no agent at all.
If your buyers already arrive through AI and die at the booking step, the free route is worth a real test. If they don’t, watch the habit and the network count, and keep your booking page in good shape. Guessing wrong about which one you’re in is the expensive option.
The practice
Run the founder’s test on yourself. Open the AI you actually use and ask it to book a call with your business — your real site, no help from you. Watch where it dies. If it books cleanly, your forms were never the wall; file this category under “later.” If it stalls at an account wall, a blocked page, or a form it can’t complete, you’ve just watched the exact failure Tobira is selling against — free, in ten minutes, on your own storefront.
Want this thinking applied to your own business? Book a call with Will Tygart — 30 minutes, and we start from your receipts, not a pitch deck.
Get The Signal
What we actually ran, what it measured, and what it means for a restoration shop — every week, including the flops.
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