Ryze runs five ad platforms and adds SEO on top. We run one platform end to end: build it, launch it, check Meta actually created what we asked for, optimise it, then measure whether the change helped. Which one is right comes down to where your money goes.
Last updated: August 21, 2026
TL;DR
Ryze covers Google, Meta, Microsoft, TikTok and LinkedIn, with SEO in the same subscription. We only do Meta. If your spend is genuinely split across platforms, that breadth beats anything else on this page. If Meta is where the money is, the comparison changes shape. Ryze optimises ads that already exist. We build the campaign, launch it, read it back from Meta to catch anything that got dropped, optimise it, then check at 7 and 14 days whether the applied recommendations actually helped, and send your client a branded report about it.
Feature comparison
| Feature | AutoAdy | Ryze AI |
|---|---|---|
| Meta / Facebook Ads | ✓ | ✓ |
| Google, TikTok, LinkedIn, Microsoft Ads | ✗ | ✓ |
| SEO and landing page work | ✗ | ✓ |
| Free plan, not just a trial | ✓ | ✗ |
| Builds campaigns, ad sets and ads from scratch | ✓ | Not stated |
| Launches lead forms, WhatsApp and Messenger ads | ✓ | Not stated |
| Builds custom and lookalike audiences | ✓ | Not stated |
| Reads new campaigns back from Meta and diffs them | ✓ | Not stated |
| Backtest a rule on your own history before enabling it | ✓ | Not stated |
| Shadow mode: rule runs, takes no action | ✓ | Not stated |
| Re-checks applied recommendations at 7 and 14 days | ✓ | Not stated |
| Client approval links | ✓ | Not stated |
| Viewer role that cannot write, whatever it is asked | ✓ | Not stated |
| White label client reports on a schedule | ✓ | Not stated |
| Store revenue matched back to ads by UTM | Shopify | Not stated |
| Multi-currency for cross-border accounts | ✓ | Not stated |
| Published methodology the AI follows | ✓ | Not stated |
| Reporting into chat | Slack, Telegram | Slack, Teams |
| MCP server for Claude and ChatGPT | ✓ | ✓ |
| REST API, OpenAPI spec and CLI | ✓ | Not stated |
| Executes changes, not just recommends | ✓ | ✓ |
| Ad account limit published | 1 / 5 / 20 | Not stated |
| Dedicated strategist | ✗ | On higher tiers |
"Not stated" means Ryze AI publishes nothing about that capability on its own pages. That is not the same as not having it, so we do not mark it as missing.
Pricing
| Tier | AutoAdy | Ryze AI |
|---|---|---|
| Free | Free, 1 ad account, core features | No free plan, 7 day trial |
| Paid entry | $69/mo, 5 ad accounts, all features | $89/mo, Paid Ads Autopilot |
| Agency / scale | $149/mo, 20 ad accounts | $599/mo Traffic Printer, $1,499/mo Ecom Autopilot |
Ryze AI pricing verified against get-ryze.ai. AutoAdy pricing comes from our own pricing page. Both were last checked on August 21, 2026. Vendors change prices, so confirm before you buy.
Methodology
Every tool in this category optimises. Pause the loser, move budget to the winner, rotate the creative. That work is real and it is also the most commoditised thing in ad software, which is why every product page describes it the same way.
The expensive parts sit either side of it. Before: building the campaign correctly, with the right objective, the right conversion event, the right form, the right placements. After: knowing whether what you changed actually helped, or whether the account just had a good week.
We do all three. Campaigns, ad sets, website ads, lead forms, WhatsApp and Messenger ads, custom and lookalike audiences, built and launched from here. New campaigns are then read back from Meta and diffed against what we asked for, because a write that returns success having quietly dropped your pixel or your placements is worse than one that fails. Applied recommendations get checked again at 7 and 14 days.
Ryze states none of that. Their pages describe optimisation of ads that already exist, which is the middle third.
Ad tools are unusually good at avoiding this. A tool pauses an ad, the account improves, everyone assumes the pause caused it. Nobody checks, and the vendor has no reason to.
Recommendations it applies get re-examined at 7 and 14 days against what actually happened afterwards. Sometimes that says the call was wrong, which is the only reason the record is worth anything.
The same idea covers rules before they run. Backtest one against your own stored history and watch how often it would have fired and what it would have cost. Then run it in shadow mode, where it evaluates on live data and takes no action, so you can disagree with it for a fortnight before it touches a budget. The backtest calls the same evaluator the live cron calls, with a test asserting the two agree, because a backtest that quietly diverges from production is worse than none.
Running your own account, this section is irrelevant. Running clients, it's most of the decision.
Approval links send a specific proposed change to a client who has no login, and they approve or decline it. The link expires after 7 days, because a client approving a snapshot that has since moved is worse than no approval at all.
There's a viewer role that cannot write, and that is enforced at the point of mutation rather than by hiding buttons. A key belonging to that role cannot pause an ad even if an agent is instructed to. Reports carry your logo and your colours and go out on a schedule. Spend converts across currencies for cross-border accounts, and Shopify orders get matched back to the ad that produced them through their UTMs.
Ryze publishes no ad account limit at any tier, so if you're sizing a plan against a client count you're heading for, ask them directly and get the answer in writing.
Any tool covering five ad platforms has to model them the same way underneath, because that's the only way one interface talks to all of them. You end up with spend, clicks, conversions and cost per result: the overlap between Google, Meta, TikTok and LinkedIn.
The things that decide whether a Meta account works don't survive that flattening. Learning phase status, frequency against a spend tier, where viewers drop out of a video, which placement quietly ate the budget, whether the auction rankings moved before the CPA did. None of it maps onto Google Search, so a multi-channel tool has little reason to carry it.
That's the trade. Ryze gets you one view of five platforms. You give up the parts of Meta that only matter on Meta. If Meta is 80% of your spend that's expensive. If it's 20% it's obviously right.
Ryze publishes an MCP connector and so do we, so it isn't a difference worth choosing on. What happens after you connect is.
Most Meta MCP servers, Ryze included as far as their docs go, are built for reading. You ask about last week and numbers come back. Ours exposes the write side too, pausing ads, moving budgets, launching campaigns, with plan gating, per account rate limits, and that viewer role that cannot write at all.
We also publish a REST API with an OpenAPI 3.1 contract, a CLI, and a package on npm. Ryze states none of those. If you're wiring ad data into something you already run, that's the difference between an integration and a screenshot.
The honest answer
These tools are built for different jobs. The question is not which is better, it is which one matches where your budget actually sits.
Genuinely the better call in these cases.
The cases we are built for.
Things Ryze AI does better than we do, whoever you are.
FAQ
For Meta on its own, AutoAdy goes deeper and costs less: $69 a month against $89, with a free plan instead of a 7 day trial, plus a documented API, a CLI and an MCP package. Ryze is the better choice if you're also spending on Google, TikTok, Microsoft or LinkedIn, because AutoAdy only covers Meta.
Ryze AI lists Paid Ads Autopilot at $89 a month, SEO Autopilot at $129, Traffic Printer at $599 and Ecom Autopilot at $1,499, with a 7 day free trial and discounts of 5% quarterly, 10% bi-annual and 20% annual. There's no free plan. AutoAdy is free to start, $69 a month for Pro and $149 for Agency.
Yes, both publish an MCP server, so that isn't a real point of difference. What differs is what you can do once connected. AutoAdy exposes write actions as well as reads, with plan gating and per account rate limits, and also publishes a REST API, an OpenAPI 3.1 spec, a CLI and an npm package. Ryze states none of those.
It's a reasonable setup if Meta is a large share of your spend and you run other channels too. AutoAdy for depth on Meta, Ryze for the rest. The overlap is Meta reporting, which you'd simply ignore on one of them.
Three things Ryze does not state on its site. It builds and launches campaigns from scratch, including lead forms, WhatsApp and Messenger ads and lookalike audiences, then reads new campaigns back from Meta and diffs them against what was intended. It re-checks applied recommendations at 7 and 14 days to see whether the change actually helped. And it carries agency tooling: client approval links, a viewer role that cannot write, branded scheduled reports, and multi-currency. Ryze covers four ad platforms AutoAdy does not, plus SEO.
In AutoAdy, yes, in two stages. Backtest it against your own stored history to see how often it would have fired and what it would have cost, then run it in shadow mode where it evaluates live data and takes no action. The backtest uses the same evaluator as the live automation, with a test asserting the two agree. Ryze does not state a backtest or shadow mode.
AutoAdy publishes its limits: 1 ad account on the free plan, 5 on Pro at $69 a month, and 20 on Agency at $149. Ryze doesn't state an ad account limit on its pricing page, so ask before committing if you're running a lot of clients.
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The problem most of this automation exists to catch.
Connect your Meta account and AutoAdy shows you what it would change, and why, before you change anything. Free plan, no card.