How to evaluate an AI ads tool
Fifteen questions that separate a tool which manages your ads from one which only reports on them.
By Melvin Salas, Director & Co-founder, Riibon · Last verified: 2026-09-08
Every product in this category promises the same three things: it audits your account, it finds wasted spend, and it optimises around the clock. They are not the same underneath. The differences that matter are not in the feature list, they are in what each tool does when it cannot see something. We read the source code, the docs, the self-reviews and the third-party reviews of five products, not just their landing pages, and we show our sources below.
The way people search for this has changed
Two years ago the category term was "AI ad management software". That search has gone quiet, some months it returns no measurable volume at all. What replaced it is more specific: people are searching for the actual protocol.
Ranked by growth, not by volume. If a Google Ads MCP or Meta Ads MCP is why you are here, questions 11 and 12 below (who approves a change, and which channels each tool actually writes to) are the ones to read first.
The short version
If you only ask three questions, ask these. Does it check the platform's conversion numbers against your own records. Does it tell you when it cannot see something rather than reporting a zero. And does it give you a range rather than a single number when it recommends a budget. A tool that answers no to all three can still be useful, it just cannot tell you whether it worked, which is the thing you are actually buying. As it happens, none of the four competitors below could be confirmed on the second question, from any public source we could find. That is not a gap in our research, we checked. It appears to be a gap in the category.
The fifteen questions
Ordered by how much damage a wrong answer does, not by how often the question gets asked.
Does it check the platform's conversion numbers against your own records?
Google and Meta both count conversions their own way, and both count some that never became a customer. If nothing reconciles those numbers against your CRM, your booking system or your bank, every CPA and ROAS on the screen is a claim rather than a measurement.
What a good answer looks likeIt connects to at least one system you control, and it reports the size of the gap as a number.
Can it tell the difference between a real zero and data it cannot see?
A tool that is not wired into a data source will often report zero rather than say it cannot see. That is the single most expensive failure in reporting, because a zero looks like an answer.
What a good answer looks likeEvery number carries a state: measured, none found, or not connected.
Does it know when a change is too small to be a result?
Most month on month movements in a small account are noise. A tool that credits itself for every upward wobble will also blame the weather for every downward one, and you will never learn which changes actually worked.
What a good answer looks likeIt states the smallest effect the account could detect before it attributes anything to a cause.
When it recommends a budget, do you get a range or a single number?
Nobody can tell you exactly what the next thousand pounds will return. A single number hides that uncertainty. A range shows you the risk you are being asked to take.
What a good answer looks likeA confidence range on cost per acquisition across a spend range, with the assumption behind it stated.
Does it remember what was already tried and undone?
A change that was made and reverted three months ago is a failed experiment somebody already judged. A tool with no memory will propose it again, and again.
What a good answer looks likeIt flags prior attempts on the same lever, and whether they were reverted.
Does it account for conversions that have not landed yet?
In any business with a considered purchase, today's conversions are still arriving. Judging today's cost per acquisition on today's count makes every recent day look like a disaster.
What a good answer looks likeIt projects how open conversions will settle before quoting a recent figure.
Does it know what a customer is worth to you?
Optimising to a cost per lead without knowing margin, close rate or lifetime value is optimising to the wrong number. Some tools are honest that they cannot work this out and ask you to supply the target.
What a good answer looks likeMargin, lifetime value and payback are inputs to the decision, not an afterthought.
Can it read Quality Score history, or only today's number?
Google exposes Quality Score at the moment you look. A week nobody recorded is gone forever. Without history you cannot tell whether a landing page change helped.
What a good answer looks likeScores are recorded on a schedule, so the trend exists when you need it.
Does it check whether old bid adjustments are still right?
A device or schedule adjustment set two years ago emits no change event. Nothing that watches for changes can see it. Meanwhile it is quietly suppressing a segment that now performs.
What a good answer looks likeEvery adjustment is judged against that segment's own current performance.
Can it see outside the ad account?
Search demand rises and falls, you changed your prices in March, and the weather moved your bookings. A tool that only reads the ad account will credit itself for the season.
What a good answer looks likeSearch demand, calendar events and your own off platform changes sit on the same timeline as the ad data.
Who approves a change, and can it be undone?
Autonomy is the selling point of this category and it is also the risk. The question is not whether it acts, it is what happens when it acts wrongly at two in the morning.
What a good answer looks likeAn approval step you control, a full log, and a way back.
Which channels does it actually run?
Breadth and depth pull against each other. A tool across eight channels is not doing what a tool across two is doing, and for most advertisers only one or two channels carry the result.
What a good answer looks likeMatch it to where your money actually goes, not to the longest list.
Does it make the creative?
Copy is the easy half. If you need images, video or user generated style content, that is a different capability and only some of these have it.
What a good answer looks likeBe clear whether you are buying analysis, production, or both.
Does it build landing pages, and who owns what it builds?
Traffic is the cheaper half of the problem. If the page does not convert, no amount of bidding fixes it. The follow-on question is what you are left holding. A page generated inside a tool lives inside that tool. A page built to your spec lives on your own site and stays there.
What a good answer looks likeEither pages are generated for you and tested automatically, or they are built to your brief and are yours to keep. Both are valid, know which one you are buying.
Does it give you market data for accounts you have not connected?
Useful when you are pitching, researching a competitor, or sizing a market you are not yet buying in. Different job from optimising an account you already run.
What a good answer looks likeLive search results, search volumes and competitor advertising, with no account connection needed.
How five products answer them
Riibon's column is verified from inside our own system, which is an advantage the other four columns do not have and biases the table in our favour. Their columns come from GitHub source, live MCP servers, product docs, self-published reviews and third-party review sites, checked 2026-09-08.
Seen means we observed it directly, in the product, its source code or its documentation. Vendor states means the company says so in its own published words, linked in the cell. Not found means we searched every source in our method and found no public answer, not that the capability is absent.
| Question | Riibon | HYPD | Ryze AI | groas | WASK |
|---|---|---|---|---|---|
| 01Does it check the platform's conversion numbers against your own records? | Yes Calendly, Stripe, GA4, PostHog, Tally and a client's own database, with the gap reported | Not found Not found as of 8 Sep 2026 | Partly Vendor states. Connects to 50+ CRM/POS APIs; no stated two-sided reconciliation | Partly Vendor states. Flags discrepancies vs “backend data”, no named CRM | Not found Not found as of 8 Sep 2026 |
| 02Can it tell the difference between a real zero and data it cannot see? | Yes Three states on every read, plus a log of unresolved gaps | Not found Not found as of 8 Sep 2026 | Not found Not found as of 8 Sep 2026 | Not found Not found as of 8 Sep 2026 | Not found Not found as of 8 Sep 2026 |
| 03Does it know when a change is too small to be a result? | Yes Detectability check runs before any change is credited | Not found Not found as of 8 Sep 2026 | Partly Seen. Bonferroni-adjusted significance, but only in Meta incrementality tests | Yes Vendor states. Acts only above 90–95% statistical confidence | Not found Not found as of 8 Sep 2026 |
| 04When it recommends a budget, do you get a range or a single number? | Yes 50, 80 and 95 percent bands, with a declared assumption and the value of testing | Partly Seen. One worked example shows a range, another shows a point number | No Seen. Rule-based point thresholds, e.g. “reduce budget by 20%” | Not found Not found as of 8 Sep 2026 | No Seen. Every example is one number, e.g. “reduce from $98,761 to $65,000” |
| 05Does it remember what was already tried and undone? | Yes Prior attempts on every lever, with how fast each was undone | No Vendor states. “Data fetched in real-time… then discarded”, no persistent memory | Not found Not found as of 8 Sep 2026 | Not found Not found as of 8 Sep 2026 | Not found Not found as of 8 Sep 2026 |
| 06Does it account for conversions that have not landed yet? | Yes Lag forecast, with the projected figure shown beside the raw one | Not found Not found as of 8 Sep 2026 | Partly Vendor states. Adjusts attribution windows, offline/CRM conversions only | Partly Vendor states. Advises waiting out a stated lag window; no forecasting model described | Not found Not found as of 8 Sep 2026 |
| 07Does it know what a customer is worth to you? | Yes Margin, LTV to CAC, blended MER and break even ROAS per product | Partly Seen. Shows a custom “Profit on Ad Spend” metric; margin source undocumented | No Vendor states, in its own review. “That number comes from your margin… not from any tool” | Yes Vendor states. Pulls margin into bidding, reports contribution profit per tier | Not found Not found as of 8 Sep 2026 |
| 08Can it read Quality Score history, or only today's number? | Yes Snapshotted nightly, with the three components kept | No Vendor states. Data fetched live then discarded, so no QS trend is stored | Not found Not found as of 8 Sep 2026 | Not found Not found as of 8 Sep 2026 | Not found Not found as of 8 Sep 2026 |
| 09Does it check whether old bid adjustments are still right? | Yes Device, schedule, age, gender and location, each with a verdict | Not found Not found as of 8 Sep 2026 | Not found Not found as of 8 Sep 2026 | No Vendor states. Its own view: manual bid adjustments “either do nothing or cause harm” | Not found Not found as of 8 Sep 2026 |
| 10Can it see outside the ad account? | Yes Search demand, weather, calendar events and your own price, site and offer changes | Partly | Yes Vendor states. Says it captures weather, competitor pricing, local events and seasonal demand | Partly Vendor states. Google's native seasonality adjustments only; no weather or demand data found | Not found Free keyword/competitor tools exist but sit outside the optimisation engine |
| 11Who approves a change, and can it be undone? | Yes Two phase confirmation, full action log, deletion off unless switched on | Partly Vendor states. Read-only by default; opt-in beta Agent Mode is logged, reversible, zero unapproved changes | Partly Seen. One mode is “skip approvals entirely”; full action journal exists | Yes Vendor states. Full undo per action, autonomous by default, every action logged with reasoning | Partly Vendor states. Requires an explicit Accept/Apply click; no documented log or undo |
| 12Which channels does it actually run? | Partly Google and Meta, in depth. Nothing else | No | Partly Seen + vendor states. Google and Meta write access confirmed; TikTok/LinkedIn claimed on one page, absent from its own pricing page | Partly Vendor states, definitively. “You would still need a separate solution” for Meta | Partly Vendor states, discrepancy. Markets Google, Meta, OpenAI Ads; its own MCP page scopes writes to “Google & Meta” only |
| 13Does it make the creative? | No Copy is generated and linted. Visual production is human | No Seen. Copy only, headlines and descriptions. No image or video generation found | Yes Seen. Changelog confirms UGC video generation and an image engine with exact text/price rendering | Partly Vendor states. Generates ad copy at scale; argues against auto-generated video, recommends clients upload their own | Yes Seen. Image, video and UGC-style generation, gated by monthly AI credits |
| 14Does it build landing pages, and who owns what it builds? | Yes Built to your brief, on your own site, in your own stack | No Seen. Audits pages (speed, CRO, QS impact) via Lighthouse, does not build them | Partly Vendor states, contradicts itself. Its review says it “cannot make the page convert”; its pricing page lists page fixes shipped to your own store. Ownership not stated | Partly Vendor states. Builds dynamic pages via a JS snippet on your existing site; ownership on cancel not stated | Not found Only a landing-page checker (diagnostic) found; no builder claimed either way |
| 15Does it give you market data for accounts you have not connected? | No Works only from terms with history in your own account | Yes Seen. Live SERP, Keyword Planner, Shopping and Ads Library data, zero account connections | Partly Vendor states, self-disclaims. Suggests a third-party tool for volume data; its own review says it is “not a keyword-research database” | Not found Entry points found all required a connected account; no vendor statement either way | Yes Seen. Free, no-login PPC competitor viewer and keyword-volume tool |
What each one is genuinely best at
No product wins every row, including ours. If your problem is named below, buy the tool that solves it.
Live search results, search volumes, competitor advertising and Shopping prices, with no account connection needed, confirmed directly in its own MCP source code, which ships zero write scopes. Read-only by default, with a beta opt-in for supervised writes. The safest way to put an agency's accounts in front of an AI.
Confirmed write access to Google and Meta, a published action journal, and genuine image and UGC video generation shipped through 2026, not just recommendations. Its own review is honest that it cannot judge customer value or fix a page that does not convert. If your spend is spread across many channels and nobody has time for any of them, this covers the most ground for $89 a month.
Google Ads and ChatGPT Ads run autonomously with full undo and a named human strategist, white labelled for agencies. Its own FAQ is explicit that Meta needs a separate tool. Closest thing here to buying a managed service rather than software, for the two channels it actually covers.
Confirmed image, video and UGC generation inside the same tool that reports on performance, plus free no-login keyword and competitor tools. Its public documentation does not address conversion reconciliation, statistical significance, or lag, the questions this page leads with, which is the honest trade-off of a tool built for creative speed rather than measurement.
Two channels, in depth, with every number reconciled against your own records and every change judged against what the account could actually detect. Pages and tracking are built to your brief and stay yours. Built for advertisers whose reported conversions and real customers have stopped agreeing.
Questions we get asked
What is a Google Ads MCP or Meta Ads MCP?+
MCP is the standard that lets an AI assistant like Claude or ChatGPT read and act on your ad accounts directly, in conversation, rather than through a dashboard. A Google Ads MCP or Meta Ads MCP is a connector built to that standard for a specific platform. Most products in this comparison offer one. It changes nothing about data quality: an assistant reading bad conversion data will give you confident bad answers faster.
Is an AI ads tool better than an agency?+
They answer different questions. A tool executes changes inside an account you already have running. An agency decides what the account should be, which offer to lead with, what a customer is worth, and whether the channel is the right one at all. The tools in this comparison are increasingly good at the first job. None of them claims to do the second.
Can these tools run an account with no human?+
Several say yes and mean it. The honest way to read that claim is to ask what happens when it is wrong: whether there is an approval step, a full log, and a way back. Read each vendor's own words on this, not the headline: HYPD is read-only by default with a supervised beta for writes, groas is autonomous by default with full undo, Ryze offers a mode that explicitly skips approval, and WASK requires an explicit click before a recommendation applies.
Why does reconciling conversions matter so much?+
Because every optimisation decision downstream is made against that number. If the platform reports forty conversions and your booking system shows twenty six, the tool is bidding towards the wrong outcome and reporting a cost per acquisition that is flattering by the size of that gap. Nothing else on the list can fix a broken input.
How often is this comparison updated?+
Quarterly, and whenever a vendor publishes something that changes a row. Each entry is dated. If we have a product wrong, tell us and we will correct it and say that we did.
Method, and what this comparison is not
- Sources
- Vendors' own GitHub repositories and live MCP servers, product documentation and help centres, vendors' own blogs and self-published reviews, and third-party review sites (G2, Capterra, coldiq, Search Engine Land). Not marketing pages alone. Checked 8 September 2026.
- Resolution rate
- 24 of the 60 competitor cells could not be resolved from any public source after exhausting this method, concentrated on the six questions about statistical rigour and silent failure (2, 3, 5, 6, 8, 9). That clustering is itself a finding: no competitor here publishes anything on knowing when a zero means “we cannot see”.
- Two open conflicts
- HYPD's marketing site and its own docs site disagree on whether an opt-in write mode exists at all (its docs say “in development”, its marketing site describes it live in beta). groas advertises a seven day free trial while a third-party review states no trial is available in practice. Both are shown as unresolved, not decided either way.
- Not verified in-product
- We did not hold a paid account inside HYPD, Ryze AI, groas or WASK. Every claim on their side is sourced to something public: their own code, their own words, or a named third party.
- Our own column
- Verified from inside our own system. That is an advantage we have over the other four columns and it biases the table in our favour. We are telling you so you can weight it.
- Not compared
- Price, reliability, support quality, model performance and actual results. This compares what exists and what is claimed, not how well it works.
- Corrections
- If you work at one of these companies and a row is wrong, email us and we will fix it with a dated note.
Primary sources: hypd.ai/product, try.hypd.ai, docs.hypd.ai, github.com/HYPD-AI, get-ryze.ai review 2026, changelog.get-ryze.ai, groas.com/for-agencies, coldiq.com/tools/groas, wask.co/features/ai-ads-creative, help.wask.co.