{"id":41789,"date":"2026-05-28T11:37:08","date_gmt":"2026-05-28T11:37:08","guid":{"rendered":"https:\/\/adspyder.io\/blog\/?p=41789"},"modified":"2026-05-28T11:45:31","modified_gmt":"2026-05-28T11:45:31","slug":"ai-agent-ppc-teams-automate-vs-human","status":"publish","type":"post","link":"https:\/\/adspyder.io\/blog\/ai-agent-ppc-teams-automate-vs-human\/","title":{"rendered":"AI Agent for PPC Teams | What the 7 Agents Automate – and Where You Still Own the Decision (May 2026)"},"content":{"rendered":"
\n
AI Ads & Automation<\/span><\/div>\n

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Quick Answer<\/p>\n

AdSpyder’s 7 AI Agents automate competitive ad research, copy scoring, keyword discovery, campaign optimization recommendations, search-term cleanup, ad-group flagging, and day\/time scheduling analysis. None of them push changes to your live account without your approval \u2014 every optimization goes through a human review step first. The human role shifts from doing execution work to approving it. See the full breakdown at AdSpyder’s AI Agent suite<\/a>. Source: AdSpyder platform data, May 2026.<\/p>\n<\/div>\n

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Every PPC tool right now is calling itself an “AI agent.” Most of them mean a smarter script. A few mean something that can genuinely replace a task you currently spend hours on. Almost none of them are honest about where the machine stops and where you need to step back in.<\/p>\n

This blog covers AdSpyder’s seven named AI Agents \u2014 what each one actually does, what data it draws from, and exactly where the human approval gate sits. If a feature is “coming soon,” it is labelled that way. If a number is a marketing estimate, it is credited as one.<\/p>\n

If you manage PPC at an agency or in-house and want a clear answer to “what is worth adopting in 2026,” this is the breakdown.<\/p>\n

<\/p>\n

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1,613<\/p>\n

ad sets scored by Winning Ads Agent<\/p>\n

78.6% of all generation runs used scoring<\/p>\n<\/div>\n

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2,554<\/p>\n

competitor domains analyzed<\/p>\n

via Domain Analysis Agent, 3,953 total queries<\/p>\n<\/div>\n

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139k+<\/p>\n

AI keyword suggestions generated<\/p>\n

across user projects on the platform<\/p>\n<\/div>\n<\/div>\n

Source: AdSpyder platform data, May 2026. Telemetry window: April 2025 \u2013 May 2026.<\/p>\n

<\/p>\n

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See what 7 AI agents can do for your campaigns<\/p>\n

Research, generate, score, optimize, and monitor \u2014 all in one platform. Connect your Google Ads account and start with a real campaign.<\/p>\n

Explore AdSpyder AI Agents \u2192<\/a><\/p>\n<\/div>\n

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In This Article<\/p>\n

What “AI agent” actually means in PPC<\/a>
\nThe 7 agents: capabilities and limits<\/a>
\nAt-a-glance comparison table<\/a>
\nWhat the machine never decides<\/a>
\n5-step workflow<\/a>
\nMistakes to avoid<\/a>
\nPre-launch checklist<\/a>
\nFAQ<\/a><\/div>\n<\/div>\n
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<\/p>\n

What “AI Agent” Actually Means in PPC \u2014 and Why the Distinction Matters<\/h2>\n

The practical test that separates real agents from rebranded scripts<\/p>\n

A PPC “rule” fires when conditions are met. A “script” runs predefined logic you wrote. An “AI agent” is different: it perceives a live state \u2014 your campaign performance, competitor ad activity, search-term data \u2014 makes a decision about what to do next, and surfaces a recommendation or queues an action for your approval.<\/p>\n

The practical test: does it use live data to produce a context-specific recommendation, or does it apply a static rule you pre-configured?<\/strong> If it’s the former, it has a credible claim to the “agent” label. If it’s the latter, it’s automation with a rebrand.<\/p>\n

AdSpyder’s agents pull from a live ad archive of 360 million+ ads across 15+ platforms, connect to live Google Ads accounts via OAuth, and surface context-specific outputs. But \u2014 and this is the part the marketing copy usually omits \u2014 they are all review-then-apply<\/strong>, not autonomous. The product UI explicitly says: “Review and customize the suggested optimizations before applying them to your campaign.” That is a design choice, and it is the right one for a tool handling live ad spend.<\/p>\n

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The honest framing<\/p>\n

AI agents in PPC shift your job from doing the execution work<\/em> to approving the execution work<\/em>. The approval step is not optional \u2014 and for campaigns with real budget, you would not want it to be.<\/p>\n<\/div>\n

\"What<\/p>\n

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AdSpyder’s 7 AI Agents: What Each One Automates \u2014 and Where It Stops<\/h2>\n

Per-agent capability breakdown with production data and honest human-gate callouts<\/p>\n

Each agent below is named, live-status confirmed, and described against what the product actually does \u2014 not the marketing summary. Where telemetry exists, it is cited with source and date. Where a stat is a marketing estimate, it is labelled as one.<\/p>\n

<\/p>\n

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1<\/div>\n
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Winning Ads AI Agent<\/p>\n

Scans millions of ads across 15+ platforms, identifies the highest-performing ads in your niche, then scores your generated ad copies against your target personas. It produces a shortlisted set of your strongest variants. It does not launch them.<\/p>\n

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Production usage<\/p>\n

1,613<\/p>\n

ad sets scored \u2014 78.6% of all generation runs<\/p>\n<\/div>\n

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Time saved (AdSpyder estimate)<\/p>\n

~20 hrs<\/p>\n

per month vs manual agency research<\/p>\n<\/div>\n<\/div>\n

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Human still needed for<\/p>\n

Final brand-voice review on the shortlisted copies. Picking which 1\u20132 to launch. Approving claims in regulated categories (finance, health, legal).<\/p>\n<\/div>\n<\/div>\n<\/div>\n

<\/p>\n

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2<\/div>\n
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Day\/Time Optimization AI Agent Google: Live \u00a0\u00b7\u00a0 Meta: Coming Soon<\/span><\/p>\n

Renders a 24h x 7d performance heatmap showing when your ads perform best and when competitors go quiet. Surfaces scheduling recommendations across four optimization goals: maximum conversions, maximum clicks, reduced CPC, or increased impressions.<\/p>\n

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ROI estimate (AdSpyder)<\/p>\n

10x<\/p>\n

from timing optimization alone<\/p>\n<\/div>\n

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Human still needed for<\/p>\n

Deciding whether a day\/time pattern reflects real audience behavior or a budget-pacing artifact. Sign-off on schedule changes before they apply to a live account.<\/p>\n<\/div>\n<\/div>\n<\/div>\n

<\/p>\n

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3<\/div>\n
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Ad Group Optimization AI Agent<\/p>\n

Identifies ad groups underperforming against benchmark and surfaces specific fixes \u2014 which to pause, which to reallocate budget toward, what structural changes will move the needle. Connects to live Google Ads.<\/p>\n

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CTR improvement (AdSpyder estimate)<\/p>\n

40%<\/p>\n

average improvement after applying recommendations<\/p>\n<\/div>\n

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Human still needed for<\/p>\n

Validating that “underperforming” matches your actual objective \u2014 a low-CTR ad group can still be your highest-ROAS one. Approving pause and restart decisions.<\/p>\n<\/div>\n<\/div>\n<\/div>\n

<\/p>\n

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Connects to your live account<\/div>\n
4<\/div>\n
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Campaign Optimization AI Agent<\/p>\n

Reviews entire campaigns and recommends specific changes to improve ROAS. Connects to your live Google Ads account via OAuth. Surfaces a change set in AdSpyder’s review UI \u2014 you inspect and customize, then apply with one click. The agent does not push changes autonomously.<\/p>\n

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How the apply flow works<\/p>\n

Agent generates recommendations \u2192 you review in the ChangesPopup \u2192 you approve \u2192 AdSpyder applies to your live account. The product UI says it explicitly: “Review and customize the suggested optimizations before applying them to your campaign.”<\/p>\n<\/div>\n

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ROAS improvement (AdSpyder estimate)<\/p>\n

2.3x<\/p>\n

average after applying campaign recommendations<\/p>\n<\/div>\n

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Human still needed for<\/p>\n

The final approval click. Strategy-level decisions the agent cannot make \u2014 shifting an entire campaign objective, account-wide budget reallocation, brand-voice review on any recommended new copy.<\/p>\n<\/div>\n<\/div>\n<\/div>\n

<\/p>\n

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5<\/div>\n
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Search Term Optimization AI Agent<\/p>\n

Finds search terms consuming budget without converting (negative-keyword candidates) and surfaces high-intent terms your competitors are not bidding on. Both run against your live Google Ads data via OAuth and apply to your account on your approval.<\/p>\n

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Waste reduction (AdSpyder estimate)<\/p>\n

25%<\/p>\n

of search budget recovered after cleanup<\/p>\n<\/div>\n

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Human still needed for<\/p>\n

Confirming a “wasteful” search term is not actually a brand-defense play. Final negative-keyword list approval before it goes live.<\/p>\n<\/div>\n<\/div>\n<\/div>\n

<\/p>\n

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6<\/div>\n
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Keyword Analysis AI Agent<\/p>\n

Runs deep analysis on keyword intent, competition level, and estimated profitability across platforms. Surfaces keyword suggestions ranked by opportunity. Draws from a keyword database of 377 million+ keywords with performance metrics<\/a> across platforms.<\/p>\n

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Keyword suggestions generated<\/p>\n

139k+<\/p>\n

across user projects<\/p>\n<\/div>\n

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High-intent keywords per pass (est.)<\/p>\n

500+<\/p>\n

AdSpyder estimate<\/p>\n<\/div>\n<\/div>\n

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Human still needed for<\/p>\n

Match-type assignment (broad\/phrase\/exact) for every surfaced keyword. Bid-cap decisions. Choosing which keywords align with business objectives vs just traffic volume.<\/p>\n<\/div>\n<\/div>\n<\/div>\n

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7<\/div>\n
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Domain Analysis AI Agent<\/p>\n

Pulls complete competitive intelligence on any domain \u2014 their active ads, estimated traffic, top keywords, landing page strategy, and ad spend signals. Connects to AdSpyder’s Ad Library<\/a> of 360 million+ ads across 15+ platforms.<\/p>\n

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Distinct users<\/p>\n

1,590<\/p>\n

have analyzed competitor domains<\/p>\n<\/div>\n

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Domains analyzed<\/p>\n

2,554<\/p>\n

via 3,953 queries since launch<\/p>\n<\/div>\n<\/div>\n

Source: AdSpyder platform data, May 2026<\/p>\n

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Human still needed for<\/p>\n

Choosing which competitor to dig deeper on. Interpreting whether a competitor’s strategy makes sense to copy given your own brand context and margin structure.<\/p>\n<\/div>\n<\/div>\n<\/div>\n

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<\/p>\n

All 7 Agents at a Glance: What They Handle and What They Don’t<\/h2>\n

The complete capability and human-gate reference table<\/p>\n

\n\n\n\n\n\n\n\n\n\n\n\n
Agent<\/th>\nAutomates this<\/th>\nHuman gate<\/th>\nLive account?<\/th>\n<\/tr>\n<\/thead>\n
Winning Ads<\/td>\nCompetitor ad scanning + copy scoring + shortlisting<\/td>\nBrand voice review, launch decision<\/td>\nNo (research layer)<\/td>\n<\/tr>\n
Day\/Time Optimization<\/td>\nPerformance heatmap + scheduling recommendations<\/td>\nSchedule change approval<\/td>\nGoogle: Yes \u00b7 Meta: Soon<\/td>\n<\/tr>\n
Ad Group Optimization<\/td>\nUnderperformer detection + fix recommendations<\/td>\nObjective validation, pause approvals<\/td>\nYes (Google Ads)<\/td>\n<\/tr>\n
Campaign Optimization<\/td>\nFull campaign ROAS review + change-set generation<\/td>\nFinal apply click + strategy decisions<\/td>\nYes (Google, Meta, LinkedIn, Amazon)<\/td>\n<\/tr>\n
Search Term Optimization<\/td>\nWasteful-term detection + hidden-gem discovery<\/td>\nNegative-keyword list sign-off<\/td>\nYes (Google Ads)<\/td>\n<\/tr>\n
Keyword Analysis<\/td>\nIntent\/competition scoring + opportunity ranking<\/td>\nMatch-type assignment, bid caps<\/td>\nResearch layer<\/td>\n<\/tr>\n
Domain Analysis<\/td>\nFull competitor domain intelligence (ads, keywords, LPs)<\/td>\nWhich competitor to focus on; strategy interpretation<\/td>\nNo (intelligence layer)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
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<\/p>\n

What AI Agents Never Decide \u2014 The Permanent Human List<\/h2>\n

Six decision types that stay with the PPC manager regardless of which agents you run<\/p>\n

Every agent in this stack has at least one hard stop. These are the decisions that remain yours regardless of automation level:<\/p>\n

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Brand voice and copy approval<\/p>\n

Winning Ads shortlists copies. It does not know your brand voice, legal constraints, or competitive positioning. You read, edit, and approve before launch.<\/p>\n<\/div>\n

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Account-level strategy<\/p>\n

Should this campaign exist at all? Is this the right objective? Should budget shift from Search to Performance Max? These are judgment calls no agent makes.<\/p>\n<\/div>\n

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Match types and bid caps<\/p>\n

The Keyword Agent surfaces 500+ high-intent keywords per pass. Whether they go in as exact, phrase, or broad \u2014 and at what max CPC \u2014 is a strategy decision, not a lookup.<\/p>\n<\/div>\n

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Competitor intelligence interpretation<\/p>\n

Domain Analysis tells you what a competitor is doing. It cannot tell you whether that strategy makes sense for your brand, margin structure, or audience.<\/p>\n<\/div>\n

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Regulated-category review<\/p>\n

Finance, health, legal, gambling, alcohol \u2014 claims in these categories need a human compliance review before any copy goes live, regardless of scoring output.<\/p>\n<\/div>\n

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The final apply click<\/p>\n

Campaign Optimization connects to your live account. Every change waits for your review and one-click approval. No agent pushes to a live campaign without you seeing it first.<\/p>\n<\/div>\n<\/div>\n

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The practical takeaway<\/p>\n

Think of the 7 agents as a team of very fast analysts. They research, score, flag, and prepare. You review and sign off. The time saving is real. The “set it and forget it” promise is not.<\/p>\n<\/div>\n

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<\/p>\n

The 5-Step AI Agent Workflow for PPC Teams<\/h2>\n

How a PPC manager at an agency or in-house team uses all 7 agents in sequence<\/p>\n

The goal is not to replace your workflow. It is to compress the parts that eat hours \u2014 competitive research, keyword triage, ad group audits \u2014 so you spend more time on decisions that actually require judgment.<\/p>\n

<\/p>\n

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1<\/div>\n
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Competitive research \u2014 Winning Ads Agent + Domain Analysis Agent<\/p>\n

Before writing copy, run the Domain Analysis Agent on your top 3 competitors. See their active ads, spend signals, and top keywords. Use Winning Ads to scan your niche’s Ad Library<\/a> for the formats and messages that have been running longest \u2014 ad longevity is the closest proxy available for “this worked.” Human task: decide which competitor strategy is worth responding to.<\/p>\n<\/div>\n<\/div>\n

<\/p>\n

\n
2<\/div>\n
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Keyword strategy \u2014 Keyword Analysis Agent<\/p>\n

Feed the agent your brand domain and target objective. It surfaces high-intent, lower-competition keywords sorted by opportunity. AdSpyder’s keyword intelligence has generated 139,000+ AI keyword suggestions<\/strong> across user projects (AdSpyder platform data, May 2026). Human task: assign match types and set bid caps for every keyword you adopt.<\/p>\n<\/div>\n<\/div>\n

<\/p>\n

\n
3<\/div>\n
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Copy generation and scoring \u2014 Winning Ads Agent<\/p>\n

Run Text Ad Generation<\/a> with your brand context, target personas, and ad goal. Winning Ads scoring fires on 78.6% of all generation runs \u2014 it evaluates each copy against your persona profile and shortlists the strongest variants. Human task: read the shortlist, apply brand voice, and pick your launch set.<\/p>\n<\/div>\n<\/div>\n

<\/p>\n

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4<\/div>\n
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Live campaign optimization \u2014 Campaign, Ad Group, and Search Term Agents<\/p>\n

Connect your Google Ads account via OAuth. The Campaign Optimization Agent<\/a> reviews your ROAS structure and queues a change set. Ad Group flags underperformers. Search Term surfaces negative-keyword candidates and untapped terms. All three go through the same review flow: you see the changes, customize if needed, apply with one click. Human task: the approve step \u2014 always.<\/p>\n<\/div>\n<\/div>\n

<\/p>\n

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5<\/div>\n
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Timing and ongoing monitoring \u2014 Day\/Time Agent + Domain Analysis<\/p>\n

Use the Day\/Time Agent heatmap to find when your audience converts best and when competitors go quiet. Set scheduling preferences against your target goal. Run Domain Analysis on a cadence \u2014 weekly or monthly per competitor tier \u2014 to catch strategic shifts before they hit your metrics. Human task: interpret whether heatmap patterns reflect audience behavior or a budget-pacing artifact before acting on them.<\/p>\n<\/div>\n<\/div>\n

\"The<\/p>\n

\n

<\/p>\n

4 AI PPC Automation Mistakes to Avoid<\/h2>\n
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Automating before defining the campaign goal<\/p>\n

An AI agent cannot optimize properly if the team has not clarified whether the campaign is built for leads, sales, trials, app installs, or remarketing. The optimization signal is meaningless without a defined goal to optimize toward.<\/p>\n<\/div>\n

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Treating competitor ads as a copy-paste template<\/p>\n

Competitor data shows what is active in the market. It does not prove the same message will work for your audience, offer, or landing page. The right move is to extract the pattern \u2014 the underlying buyer problem \u2014 and generate original copy around it.<\/p>\n<\/div>\n

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Applying negative keywords without context<\/p>\n

Some low-converting search terms are still useful for brand defense, research queries, or assisted conversions. Review before excluding \u2014 the Search Term Agent flags candidates, not confirmed exclusions.<\/p>\n<\/div>\n

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Letting AI decide claims in regulated categories<\/p>\n

AI can suggest ad copy, but claims around pricing, guarantees, savings, health, finance, or legal categories need human review regardless of how good the persona-match score is.<\/p>\n<\/div>\n

\n

<\/p>\n

Pre-Launch Checklist: Before You Use AI Agents on a Live Account<\/h2>\n
\n
\n

Run this before every campaign launch<\/p>\n<\/div>\n

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\u2713<\/span><\/p>\n

Define the campaign goal before running any agent recommendations \u2014 sales, leads, traffic, app installs, or remarketing.<\/p>\n<\/div>\n

\n

\u2713<\/span><\/p>\n

Connect your Google Ads account via OAuth \u2014 required for Campaign, Ad Group, and Search Term Agents to read and queue changes.<\/p>\n<\/div>\n

\n

\u2713<\/span><\/p>\n

Pull Domain Analysis on 3\u20135 competitors before building a keyword list \u2014 know what you are responding to.<\/p>\n<\/div>\n

\n

\u2713<\/span><\/p>\n

Write a brief brand voice note \u2014 3\u20134 sentences covering tone, forbidden phrases, and compliance requirements \u2014 before reviewing generated copy.<\/p>\n<\/div>\n

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\u2713<\/span><\/p>\n

Review every negative keyword suggestion before applying \u2014 check for brand-defense and assisted-conversion use cases the agent flags as wasteful.<\/p>\n<\/div>\n

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\u2713<\/span><\/p>\n

Never skip the ChangesPopup review step \u2014 every optimization the Campaign Agent queues needs a human read before it applies to a live account.<\/p>\n<\/div>\n

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\u2713<\/span><\/p>\n

Run independent compliance review on all copy for regulated categories (finance, health, legal, gambling) regardless of scoring output.<\/p>\n<\/div>\n<\/div>\n

<\/p>\n

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Your competitors are using AI agents. Your campaigns are the gap.<\/p>\n

AdSpyder’s 7 AI Agents connect to your live Google Ads account, scan 360 million+ competitor ads, and surface ready-to-apply optimizations \u2014 all with your approval at every step. See the full suite at Campaign Optimisation AI Agent<\/a>.<\/p>\n

Try AdSpyder AI Agents Free \u2192<\/a>
\nExplore the Ad Library<\/a><\/div>\n

23,000+ registered users \u00b7 360M+ ads indexed \u00b7 15+ platforms \u00b7 AdSpyder platform data, May 2026<\/p>\n<\/div>\n

\n

<\/p>\n

Frequently Asked Questions<\/h2>\n
\nCan an AI agent fully manage my Google Ads account without human input? +<\/span><\/summary>\n

No. AdSpyder’s agents recommend changes and prepare optimizations, but every change goes through a human review-then-apply step before touching your live account. The Campaign Optimization Agent connects via OAuth and surfaces a change set \u2014 you review, customize if needed, and apply with one click. Nothing goes live without your approval.<\/p>\n<\/details>\n

\nWhat is the Winning Ads AI Agent and what does it actually do? +<\/span><\/summary>\n

It works in two stages. First, it scans millions of ads across 15+ platforms to surface what is performing best in your niche. Second, when you generate ad copy through AdSpyder’s Text Ad Generation, the scoring layer evaluates each copy variant against your target personas and shortlists the strongest options. It has processed 1,613 ad sets to date (AdSpyder platform data, May 2026). The human step is reviewing the shortlist and choosing which copy to launch.<\/p>\n<\/details>\n

\nWhich AI agents connect to live Google Ads accounts? +<\/span><\/summary>\n

Three agents connect to live accounts via OAuth: Campaign Optimization, Ad Group Optimization, and Search Term Optimization. All three are live on Google Ads. Campaign Optimization also connects to Meta, LinkedIn, and Amazon. Day\/Time Optimization is live on Google \u2014 Meta integration is coming soon. Winning Ads, Keyword Analysis, and Domain Analysis are research layers that do not modify your live account.<\/p>\n<\/details>\n

\nWhat PPC tasks still require a human in 2026? +<\/span><\/summary>\n

Six things no agent currently decides: (1) brand voice and final copy approval before launch, (2) the final apply click on any optimization change set, (3) keyword match-type assignment and bid-cap setting, (4) account-level strategy \u2014 campaign objectives, budget allocation across campaigns, (5) regulated-category legal review, and (6) interpreting competitor data \u2014 the agent tells you what a competitor is doing, not whether copying that strategy makes sense for your brand.<\/p>\n<\/details>\n

\nIs the Day\/Time Optimization Agent available for Meta ads? +<\/span><\/summary>\n

As of May 2026, it is live for Google Ads and coming soon for Meta. The agent surfaces a 24h x 7d performance heatmap and recommends schedule adjustments based on four optimization goals: maximum conversions, maximum clicks, reduced CPC, or increased impressions.<\/p>\n<\/details>\n

\nHow many keyword suggestions has AdSpyder’s AI surfaced? +<\/span><\/summary>\n

AdSpyder’s Keyword Analysis Agent has generated 139,000+ AI keyword suggestions across user projects as of May 2026. It draws from a keyword database of 377 million+ keywords with performance metrics across platforms (AdSpyder platform data, May 2026).<\/p>\n<\/details>\n

All production usage statistics sourced from AdSpyder platform data, May 2026. Marketing estimate figures (ROI, ROAS improvement, CTR improvement, waste reduction, time saved) are published on AdSpyder’s Plans page and reflect AdSpyder’s estimates, not independently verified outcomes.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

AI Ads & Automation Quick Answer AdSpyder’s 7 AI Agents […]<\/p>\n","protected":false},"author":27,"featured_media":41791,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[181,159],"tags":[],"class_list":["post-41789","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ads-set-up","category-ai-and-emerging-trends"],"acf":[],"yoast_head":"\nAI Agent for PPC Teams May 2026 | Automate vs Human Decisions<\/title>\n<meta name=\"description\" content=\"AdSpyder's 7 AI Agents scored 1,600+ ad sets & analyzed 2,554 domains. See what each agent automates, where you still own the decision.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/adspyder.io\/blog\/wp-json\/wp\/v2\/posts\/41789\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI Agent for PPC Teams May 2026 | Automate vs Human Decisions\" \/>\n<meta property=\"og:description\" content=\"AdSpyder's 7 AI Agents scored 1,600+ ad sets & analyzed 2,554 domains. 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