Lapis
Lapis runs paid ad campaigns end to end with AI agents that create, launch, and optimize them.
- 5
- San Francisco, CA, USUnited States
Lapis runs paid ad campaigns end to end with AI agents that create, launch, and optimize them.
Which advantages over its rivals hold up, and why are they hard to copy?
Lapis connects the parts of paid advertising that are usually bought separately. Strategy, creative production, campaign deployment, and the landing page after the click run as one system, so learning from live traffic carries into the next campaign instead of stopping at the ad unit.
It reads a customer's own website to derive a reviewable brand system of logo, colors, type, voice, and products, which lets teams produce on-brand creative without a design bottleneck. The same brand system feeds its conversational advertising product, giving it an early position in an emerging placement alongside its coverage of established channels.
Where do rivals beat it, and what does each gap cost?
Lapis competes in a crowded field of AI-assisted creative and campaign tools, where several vendors already offer ad generation at comparable or lower entry prices. Its more distinctive capabilities sit behind managed plans rather than the self-serve tier, so the differentiating parts of the system are not what a low-cost evaluation touches first.
Automation is bounded by customer guardrails, so budget movement still needs human approval.
Is its category moving in its favor or against it?
Conversational advertising is forming as a distinct placement channel, with large cross-platform advertising vendors adding sponsored results inside AI assistants during 2026. That movement gives the channel a measure of institutional legitimacy while it is still early, and it leaves room for specialist tooling that targets AI conversations rather than treating them as an extension of search.
At the same time, generative creative has become table stakes across the advertising software market, so differentiation is shifting from ad generation itself toward what happens around it, meaning brand consistency, experiment design, landing-page matching, and the loop that turns measured results into the next campaign. Human review remains part of the workflow that buyers expect.
How does its pricing position it against rivals?
Lapis prices self-serve access as a monthly subscription with a credit allowance, quoted at $99 per month for a basic tier and $599 per month for a higher tier, and it gives prospective customers a free entry point before payment. The subscription covers creative, audience, forecasting, and iteration tooling, with the channels and capabilities available varying by tier.
Managed service is priced as a custom engagement rather than a list rate, scoped to the customer's channels and campaign needs. Two managed tracks exist, one for established advertising channels and one for conversational and LLM placements, and both pair automated campaign operation with a dedicated strategist. Advertising media spend is billed by the channels themselves and sits outside the Lapis fee.
What does the product do for its buyer, and how is it delivered?
Lapis sells a paid-growth platform organized around three named products. ChatSense places sponsored results inside AI conversations, OmniSense turns a website URL and brand assets into channel-ready ad creative and live experiments, and RapidDomain builds landing pages matched to each campaign's promise.
The products share one brand system and one learning loop. Creative, audience variations, budgets, and post-click pages are generated from the same brand understanding, and results from live traffic feed back into the next round of campaigns.
