Lazy Ads
AI media buyer that runs paid campaigns across nine networks
About Lazy Ads
Lazy Ads is an AI media buyer. You describe the business and it handles the parts a media buyer normally does by hand: strategy, ad copy, targeting, campaign construction, launch and the ongoing tuning afterwards. It runs across nine ad networks from one place rather than making you learn each platform's own campaign manager.
The reason that matters is the gap it addresses. Paid advertising punishes inattention: campaigns drift, creative fatigues, and budget quietly moves toward whatever the platform finds easiest to spend it on. A small business either learns nine ad interfaces, hires an agency at a retainer that dwarfs the ad spend, or lets campaigns run badly. Lazy Ads is aimed at that third state, automating the daily review rather than the initial setup alone, with analysis running once a day at the entry tier and every four hours at the top.
The free tier is unusually honest about what it is. It covers onboarding and public competitor-ad browsing with no card, which means you can look at what your competitors are actually running before deciding whether the paid product is worth it. The AI strategy, copy and campaign building all start at the first paid tier, and the page says so plainly rather than implying the free plan does the work.
Onboarding captures the business, which is the input the rest depends on. From there the AI produces campaign strategy, ad copy and targeting, builds the campaign, and hands you launch controls rather than launching unsupervised.
Once live, it analyses performance on a schedule set by your plan and adjusts. Alongside that it tracks competitor campaigns, five on the entry tier and unlimited at the top, so the creative decisions are informed by what is already running in your market rather than by the tool's own guesses.
Everything is reachable through a full MCP server on every paid plan, including the entry one, so an AI agent can drive campaign work directly. The higher tiers add a REST API and A/B testing automation.
- •Nine ad networks from one interface - included on every paid tier rather than unlocked by price, which is the main argument against running each platform's own manager.
- •Analysis on a schedule - daily at Starter, three times a day at Growth, every four hours at Scale, which is the real difference between the tiers alongside spend limits.
- •Competitor ad tracking - five competitors at Starter, fifteen at Growth, unlimited at Scale, browsable free before you pay anything.
- •Full MCP server on every paid plan - an AI agent can run campaign work as a tool call, not just the web interface.
- •A/B testing automation - from Growth upward, explicitly absent at Starter, which the page states rather than hides.
- •Ad spend ceilings per tier - $3,000 a month at Starter, $20,000 at Growth, unlimited at Scale, with an overage fee above the limit.
Small businesses spending enough on ads to be hurt by neglect but not enough to justify an agency retainer. The spend ceilings map the tiers to that directly: if you are putting $3,000 a month through ads, Starter at $99 is roughly three percent of spend, which compares well against agency percentages.
It also suits developers and automation builders, because the MCP server is on every paid plan rather than reserved for enterprise. Anyone running campaigns for clients should note the spend ceiling applies per plan, and the overage fee, before assuming the entry tier covers a portfolio. Start with the free tier and browse competitor ads first; that alone tells you whether the market you are in is one this tool has data on.
Pricing
$0 - $499/mo
- Free$0/mo
- Starter$99/mo
- Growth$249/mo
- Scale$499/mo
From the vendor pricing page, 2026-09-22
