Credits, fuel, and going live

Credits, fuel, and going live

Credits are the usage currency for SMOC outcomes and add-ons.

What Credits buy

  • Interactions, smart clicks, and smart identified leads at plan-tier unit prices.
  • Monthly LinkedIn account and ad campaign add-ons (costs fall on higher plans).
  • Optional AI generation / improvement units listed on Pricing.
  • Prospect enrichment (public registry search + LinkedIn match): 1 credit list per 100 newly enriched people, discounted on paid plans. List landing stays on the cheaper import-per-100 meter.

Plans at a glance

New accounts start on a 14-day Starter trial (99 credits, no credit card) for generated web and LinkedIn agents. Free, Starter, Growth, and Professional include monthly Credit bundles (19 / 99 / 499 / 999). A Free web agent always remains for low-traffic sites (19 credits/month). Subscribe when volume and pipeline grow. Enterprise is custom. Annual billing is discounted versus monthly.

Connect fuel

Connecting a LinkedIn sender typically grants bonus Credits (“connect fuel”) so you can start outreach. Monthly LinkedIn account cost still applies afterward—budget for both.

Top-ups and go-live

  • Top up any time under Settings → Billing; topped-up Credits roll over.
  • Sales Launch surfaces Credits ready before Go live.
  • Exhausted Credits can hold billable work—top up or upgrade before a campaign peak.

Full FAQ answers for pricing are generated from the live pricing table on /pricing and /faq.

Where AI runs

AI does the work. You review it.

Website chat, card flows, and LinkedIn share one system. AI does each job below. The line under the title says where that job runs.

Every agent

AI crawls the site and writes the offer, the audience, the voice, and the brand. Website chat, card flows, and LinkedIn start from that.

Every agent · theme on web · list on LinkedIn

AI writes the flow. Theme runs on website chat and cards. Translation runs on every agent. AI finds the prospect list on LinkedIn.

Path on every flow · web and LinkedIn split

Reinforcement learning on the flow path runs on every agent. Recommendations run on web. Right timing and reply reading run on LinkedIn.

Every agent

AI proposes a variant, uses your review on the next draft, and starts from an example that already works. You apply the change.

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