Lapis

Lapis

AI agents that create, launch, and optimize paid ads across Google, Meta, LinkedIn, Reddit and ChatGPT placements.

75/100Safe BetFree · from $99/moFreemium

Lapis makes the most sense if you already spend on paid social or search and want the creative-to-launch pipeline compressed, or if you want to be one of the few brands appearing as a sponsored result inside ChatGPT. Basic at $99/mo with 25 credits per month is a fair way to test whether the loop actually improves your numbers before committing to a managed contract; the managed Traditional Ads and ChatGPT + LLM Ads tiers are quoted custom, so you'll need to negotiate rather than budget from a published number. Where it's hard to justify is low ad volume or a need for pixel-level creative control — you pay for automation you won't use. Compare Lapis against AdCreative.ai on the self-serve

Verified 2d ago · liveness 75/100 · cite: rightaichoice.com/tools/lapis

Best for
  • Growth teams launching and testing multi-platform ad campaigns quickly
  • E-commerce brands importing product catalogs to produce localized ads at scale
  • Marketers expanding into new markets with 100+ language ad generation
  • Agencies running multiple client accounts with distinct brand identities
Not ideal for
  • Designers who need full creative control and pixel-level adjustments
  • Highly regulated industries (healthcare, finance) requiring legal review of every headline
  • Low-volume advertisers — Basic starts at $99/mo for 25 credits per month
Visit Website

Beginner-friendlySelf-serve Basic: paste your URL, review the auto-detected brand system, import your catalog or audiences, and you can produce first ads in an afternoon. Managed Traditional Ads or ChatGPT + LLM Ads: expect onboarding for brand and offer setup, buyer-intent experiment design, and platform-ready campaign structure before the first deployment.WebNo public API6.5k viewsVerified 2d ago
Pricing
Free · from $99/mo
FreemiumFree tier3 plans1 hidden cost
Learning curve
Beginner-friendly
Self-serve Basic: paste your URL, review the auto-detected brand system, import your catalog or audiences, and you can produce first ads in an afternoon. Managed Traditional Ads or ChatGPT + LLM Ads: expect onboarding for brand and offer setup, buyer-intent experiment design, and platform-ready campaign structure before the first deployment.
Runs on
Web
No public API · 11 integrations
Who it's for
E-commerce growth marketerAgency account leadBrand testing ChatGPT placements
Live sentiment
Is Lapis actually worth it?

We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.

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  • Real pros & cons from real users
  • Attributed quotes with receipts
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Skip it if

Skip Lapis if you need pixel-level control over every creative asset, advertise in a heavily regulated vertical where each headline needs legal sign-off, or run too little paid volume for a 25-credit-per-month allowance at $99/mo to be worth it.

The 30-second take
Biggest gripe

Basic runs on 25 credits per month at $99/mo — heavy creative testing burns the allowance and leaves you waiting for the next cycle.

Price reality

At $99/mo for 25 credits, Basic sits above entry-level ad-creative tools and below a freelance designer retainer — it fits a growth team running a handful of campaigns a month, not an agency producing hundreds of assets weekly.

In short

Lapis — AI agents that create, launch, and optimize paid ads across Google, Meta, LinkedIn, Reddit and ChatGPT placements. Best for Growth teams launching and testing multi-platform ad campaigns quickly, E-commerce brands importing product catalogs to produce localized ads at scale, Marketers expanding into new markets with 100+ language ad generation. Free to start; paid plans from $99/mo.

Compared withvs Adant Ai

What people actually say about Lapis — is it worth it?

We scanned public community sources for Lapis on Aug 18, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.

Viability Score

75/100
Safe Bet

How well maintained and how widely used is Lapis? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
not measured
Traction
100
Site health
95
User sentiment
10
What the vendor publishes
60

Last calculated: October 2026

How we score →

Key Features

  • Self-improving ads engine that feeds conversion data into each new campaign
  • Auto-detect brand intelligence from your website URL (logo, colors, type, voice, products)
  • OmniSense creative built for Google, Meta, LinkedIn, TikTok, and Reddit formats
  • ChatSense sponsored results inside ChatGPT and third-party LLMs, including open-source chatbots
  • RapidDomain self-optimizing landing pages matched to each campaign angle
  • A/B testing at rapid scale with real-time result weighing on live traffic
  • Campaign Studio natural-language ad editing
  • Brand Radar: track 20 competitors and browse a 10,000+ ad library
  • Ad Score + Improve loop that rates ads and suggests fixes
  • Product catalog and audience import
  • Ads in 100+ languages
  • Performance forecasting and Google Ads keyword strategy
  • 4K campaign assets and reference-image uploads
  • Brand Kit with voice and knowledge base
  • Content calendar + scheduling with VIBE Kit visual styles

About Lapis

FreemiumBeginner-friendlyNo APIWeb

Lapis is a paid-ads platform built around a self-improving engine: AI agents create, launch, and optimize campaigns, then feed live conversion data back into the next round of creative and targeting. You point it at your website and it extracts a reviewable brand system — logo, colors, type, voice, products — which becomes the basis for every ad and landing page it produces. Three products sit under one roof: OmniSense for Google, Meta, LinkedIn, TikTok, and Reddit campaigns; ChatSense for sponsored results inside ChatGPT and third-party LLMs including open-source chatbots; and RapidDomain for campaign-matched landing pages. A Wayfinder layer reconciles conversions across channels into one view. The workflow runs in four stages: strategy (targeting, bidding, channel, testing), asset creation (ads, copy, audience variations, matched pages), launch across channels with budgets and tracking wired in from day one, then continuous optimization of bids, creative, and pages against live campaign data. Lapis sells two ways: a self-serve Basic tier at $99/mo that includes 25 credits per month and covers Google, Meta, and LinkedIn, and managed tiers (Traditional Ads, ChatGPT + LLM Ads) that are quoted custom and where Lapis runs the campaigns for you. It's aimed at growth teams, e-commerce brands, and agencies that want to test and ship multi-platform campaigns without hand-building every asset. Standout pieces include A/B testing that weighs results in real time, Brand Radar competitor tracking with a 10,000+ ad library, product catalog import, ads in 100+ languages, and an Ad Score + Improve loop that grades creative and suggests fixes.

Behind the Verdict

Lapis is best understood as two products wearing one logo. The self-serve half is a creative operating system: you give it a URL, it reads your logo, colors, type, voice, and products, and then produces campaign-ready ads for Meta, Google, and LinkedIn plus matched landing pages through RapidDomain. The Ad Score + Improve loop and real-time A/B testing on live traffic are the parts that most differentiate it from static ad-generator tools — instead of handing you 50 variants and walking away, it weighs which ones actually convinced buyers and carries that into the next launch. Brand Radar's 20 tracked competitors and 10,000+ ad library is a genuinely useful research surface that most competitors charge separately for. The second half is a managed service. On Traditional Ads, Lapis runs Meta, Google, Reddit, and LinkedIn campaigns with autonomous deployment, cross-channel experiment design across Explore/Promising/Scale stages, and automated budget allocation inside guardrails; a dedicated strategist reports daily. On ChatGPT + LLM Ads, Lapis manages placements in ChatGPT and third-party LLMs, including open-source chatbots, with confidence-adjusted reporting and accept/reject/regenerate controls before an autonomous next run goes out. That is a narrow, newer channel and the fact that Lapis will run it for you is the single thing here no mainstream ad platform does. The honest constraints: credits are the self-serve unit of account, and 25 per month at $99/mo is a small allowance — heavy creative testing will burn through it. Channel coverage is also tier-gated: TikTok appears in OmniSense marketing, but the published Basic plan lists Google, Meta, and LinkedIn, and Reddit plus ChatGPT inventory come only with a managed plan quoted custom. If you need deterministic, hand-built creative or you're in a regulated vertical requiring legal review of every headline, the automation is a liability rather than an asset. For growth teams and e-commerce brands shipping multi-platform tests every week, it fits well.

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Real-world workflow fit

Concrete scenarios for the personas Lapis actually fits — and what changes day-one when you adopt it.

E-commerce growth marketer

You paste your Shopify store URL into Lapis, review the auto-detected brand system, and import the product catalog. You generate Meta and Google creative for a seasonal launch, run A/B tests on live traffic, and let the Ad Score + Improve loop call out weak headlines before you scale spend.

Outcome: A week-one set of platform-ready product ads and campaign-matched RapidDomain pages without briefing a designer.

Agency account lead

You set up separate brand kits for two clients, track 20 competitors each in Brand Radar, and use Campaign Studio to edit copy in plain language when a client objects to a headline. You schedule the calendar and hand the client the team creative review view.

Outcome: Faster client iterations and a defensible competitive-benchmark story in the monthly report.

Brand testing ChatGPT placements

On a managed ChatGPT + LLM Ads plan, Lapis designs buyer-intent experiments, tags creative at scale, deploys campaigns autonomously, and returns confidence-adjusted reporting on which messages and themes surfaced — with accept, reject, or regenerate controls on each autonomous next run.

Outcome: Your brand appears as a sponsored result when a ChatGPT conversation shows buying intent, with a prompt-matched RapidDomain page behind the click.

Use Cases

Models Under the Hood

ChatGPT

as of 2026-10-15

Limitations

  • Lapis is credit-based on its self-serve Basic tier: 25 credits per month at $99/mo.
  • The managed tiers (Traditional Ads and ChatGPT + LLM Ads) are quoted custom, so you cannot budget from published numbers.
  • Channel coverage is tier-gated: Basic names Google, Meta, and LinkedIn, while the managed tiers add Reddit plus ChatGPT and third-party LLMs.
  • On ChatGPT, ChatSense shows up as a sponsored result when a conversation reveals buying intent — it is a sponsored placement, not an organic ranking.

as of 2026-10-09

Verification history

We have re-verified Lapis 15 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. — re-checked, vendor evidence unchanged
  2. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  3. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  4. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  5. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  6. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it

Showing the 6 most recent of 15 verification passes.

Free to cite with attribution — this page re-verifies continuously.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
$1,188
Over 12 months
Effective monthly
$99
Billed monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published Lapis tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

Basic

$99/mo

Ideal for

Solo marketers and small growth teams who want to run the creative operating system themselves and produce ads without hiring a designer.

What this tier adds

Starting tier: $99/mo for 25 credits per month, covering Google, Meta, and LinkedIn, 20 tracked competitors with Brand Radar, performance forecasting, Google Ads keyword strategy, and ads in 100+ languages.

Traditional Ads (Managed)

Custom

Ideal for

Brands spending enough on paid social and search to hand campaign operation to a dedicated strategist rather than run it in-house.

What this tier adds

Adds Meta, Google, Reddit, and LinkedIn campaign management with autonomous deployment and optimization, 100+ traditional-channel ads, cross-channel experiment design, automated budget allocation within guardrails, and RapidDomain keyword-matched pages.

ChatGPT + LLM Ads (Managed)

Custom

Ideal for

Teams that want to be among the sponsored results when buyers ask ChatGPT or another LLM what to buy.

What this tier adds

Adds managed ChatGPT and third-party LLM campaigns including open-source chatbots, 1,000+ ChatGPT ads, buyer-intent experiment design, confidence-adjusted reporting, autonomous next-run generation with accept/reject/regenerate controls, and RapidDomain prompt-matched pages.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Basic runs on 25 credits per month at $99/mo — heavy creative testing burns the allowance and leaves you waiting for the next cycle.

Where the pricing makes sense

The company stage and team size where Lapis's pricing actually pencils out — and where peers do it cheaper.

At $99/mo for 25 credits, Basic sits above entry-level ad-creative tools and below a freelance designer retainer — it fits a growth team running a handful of campaigns a month, not an agency producing hundreds of assets weekly.

Setup time & first value

How long it actually takes to get something useful out of Lapis — broken out by persona, not the marketing-page minute.

Self-serve Basic: paste your URL, review the auto-detected brand system, import your catalog or audiences, and you can produce first ads in an afternoon. Managed Traditional Ads or ChatGPT + LLM Ads: expect onboarding for brand and offer setup, buyer-intent experiment design, and platform-ready campaign structure before the first deployment.

Switching to or from Lapis

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From AdCreative.ai: rebuild brand assets in Lapis's Brand Kit, then use the real-time A/B loop and Ad Score + Improve in place of static variant dumps.
  • →From an agency retainer: import campaign history into Wayfinder for a reconciled conversion view, then move channel management to the Traditional Ads managed tier.
  • →From manual Meta/Google Ads Manager workflows: connect the channels, import product catalogs and audiences, and let Campaign Studio handle copy edits in plain language.
Migrating out
  • ↗To AdCreative.ai: export your generated ad sets and rebuild the variant library in a tool focused purely on creative generation.
  • ↗To an in-house or agency team: pull reconciled performance data out of Wayfinder and hand the ad accounts back to Meta, Google, LinkedIn, or Reddit directly.
  • ↗To a single-channel specialist tool: if you only need Meta creative, you stop paying for the multi-channel strategy and landing-page layers.

Integrations

Meta AdsGoogle AdsLinkedIn AdsTikTok AdsReddit AdsChatGPT AdsShopifyAmazonFigmaNotionSlack

Resources & Guides

Tutorials & Learning

YouTube returned 6 videos for “Lapis”, and we withheld 6: 6 could not be judged, because “Lapis” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Lapis.

Official links

Tools that pair well with Lapis

Common stack mates teams adopt alongside Lapis, with the specific reason each pairing earns its keep.

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Frequently Asked Questions

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