AI Ad Creative and Copy for PPC Agencies
Infinall AI turns a client's product URL into competitor research, a campaign strategy, ad copy, image ads and carousels, and video drafts on Pro, held in an Approval Queue for your team to edit before export. It supplies the creative and copy inputs for paid campaigns. It does not buy media, manage bids or budgets, set up targeting, run live campaigns or report on performance; your existing ad platforms and PPC tooling still do that.
The PPC Agencies challenge
A PPC agency's performance depends on how fast it can test. Whether the client is spending a little or a lot, results come from finding which message and which creative earn a better return, and that means a steady supply of new variations. The bottleneck is rarely the bidding or the structure of the account, which agencies have processes for. It is the creative and copy: each new angle needs research, a headline set, body text in the right lengths for each placement, and imagery in several sizes. When clients ask for more tests than the creative budget covers, agencies either ship fewer variations or send tired creative into the auction.
The second problem is creative fatigue. Ads that perform early tend to decay as the audience sees them repeatedly, and an account managed for months needs a constant refresh. Because the performance specialist is accountable for the numbers, they often end up writing copy and briefing designers themselves, so the people best placed to analyse results spend time making assets. Hiring a full-time designer for every few accounts is not always viable, and freelancers add coordination overhead and review time.
Third, the tools agencies already use are mostly about the buying side. Media-buying and optimisation platforms handle bids, budgets, rules and reporting; they usually assume the creative has already been made. Some include a creative feature, but the core job is optimisation. That leaves a gap earlier in the process, between knowing which angle to test and having ad-ready assets for it. It also leaves an accountability gap: client-facing claims in ad copy, such as pricing, guarantees and 'best' or 'only' language, are the agency's responsibility, and a high volume of new copy increases the chance something slips through.
Infinall addresses the creative side of that gap. From a client's product URL it researches competitors, drafts angles, writes placement-specific copy and produces creative, so a performance team can test more distinct ideas without adding headcount. What it does not do is just as important: it does not touch the ad accounts, does not tell you which variant will win and does not validate claims against platform policy or the client's legal requirements. The Approval Queue is the checkpoint where your team reviews every headline and image before it enters an account. [NEEDS VERIFICATION: which Google Ads formats Infinall's copy output matches, for example responsive search ad headline and description limits; confirm before promising search-ad-ready output.]
How Infinall AI works for PPC Agencies
Step 1 of 5
Paste the client's product or landing page URL
Start with the page the ads will send traffic to. Infinall builds a picture of the product, offer, positioning and brand tone from it. Run one campaign per distinct offer or audience so the angles and copy stay specific to the page the ad leads to.
Step 2 of 5
Research competitors and find test angles
Infinall researches competing products and the angles, offers and claims they use. On Pro, research uses real-data sources and can run at Deep or Max depth. Check the Library's Ad Spy for real competitor ads, and use it to choose several distinct angles to test against each other, not several wordings of the same one.
Step 3 of 5
Select the angles worth testing
Review the drafted strategy and pick the angles your team wants to put into the account. Edit the messaging before creative is produced, and remove any claim, price or guarantee that does not match the client's landing page and approved terms.
Step 4 of 5
Generate copy and creative per angle
Infinall drafts placement-specific copy and produces image ads and carousels, plus video drafts on Pro. A Pro Full Campaign in Standard mode produces up to 6 image ads and 3 carousels per campaign, and you can run more campaigns as credits allow. Refresh batches by running a new campaign on a new angle rather than reusing fatigued creative.
Step 5 of 5
Review in the Approval Queue and export
Every asset lands in the Approval Queue. Check each headline, description and image against the client's approved claims, the landing page and the current ad-platform policies, then edit or reject. Export the approved set and load it into the client's ad accounts using your existing tools. Exporting costs no credits.
Cost comparison
Infinall AI Pro is $30/month or $299/year, with 3,000 credits per month and 5 users, enough for a small performance team to share one account; extra credit packs run $10 to $100 if a heavy testing month uses more. It does not include ad spend, bid management or reporting. By comparison, tools built for live Meta account management, such as Madgicx (from ~$44/mo) or AdCopy.ai (from $149/mo), cover the buying and optimisation side that Infinall deliberately does not, so many agencies would use Infinall alongside such a tool, not instead of it. The Free plan ($0, 1,000 credits per month, 2 users) runs a Lite-mode campaign of up to 3 image ads and 1 carousel on a single client.
Frequently asked questions
Can Infinall replace my media-buying or optimisation tool?
No. It does not connect to your ad accounts for buying, bidding, budget rules or performance reporting. Tools like Madgicx or AdCopy.ai are built for those jobs. Infinall produces the research, copy and creative that you load into those accounts, so the two types of tool address different stages of the workflow.
Will it tell me which ad variation will perform best?
No. Infinall does not predict performance and does not see your results. It helps you produce more distinct, well-researched variations to test, but which one wins is decided by the ad platform's data, your audience and your budget. Tools that advertise performance prediction work differently and should be assessed separately.
Does the copy meet platform character limits and ad policies?
It is drafted per placement, but you should not assume it passes every platform's rules. Infinall does not verify ad-platform policy compliance or the accuracy of claims, and policies change. Someone on your team must check each asset in the Approval Queue before it goes live, and any account-specific format requirements should be confirmed against what Infinall produces.