Agent PlannersEvery marketing AI hands you a to-do list. This one clears it.
One agent runs marketing and growth across 29 platforms — Google Ads, Meta, TikTok, LinkedIn, X, Microsoft, Reddit, Pinterest, GA4, BigQuery, Shopify, Klaviyo, GitHub and more — on its own, around the clock. It plans, executes and reviews inside the spend caps and protected campaigns you set. Deleting a campaign, ad group or ad, moving money and publishing always stop for you.
29 platforms = 27 you connect + DataForSEO and Context.dev built in · 250+ more apps via Composio or your own MCP server
Most marketing AI is a black box — you flip a switch and hope for the best. Agent Planners reasons through your goal in the open, adapts to any platform or model, and waits for your yes before anything changes.
Every action arrives as a plan you read before it runs.
By default nothing changes on your account without your sign-off; hands-off mode is opt-in.
Every mutation is logged — who, when and why.
Ask in plain language. Get a decision.
The agent reads your accounts and your own data, then answers with the next move — sourced, quantified and ready to approve.
Which campaigns are wasting budget this week, and what should I do?
3 Search campaigns are under 1.5× ROAS — Brand_Generic, Q3_Prospecting and Retarget_Broad — together burning ≈$3,420 / week.
Biggest leak: 14 search terms with spend and zero conversions (e.g. “free …”, “jobs …”).
Recommended: pause Retarget_Broad, add the 14 negatives, and shift 20% of budget to your 3.1× ROAS winners.
Every write waits for your approval before it ships.
Natively connects to Google's advertising, publisher & analytics platforms — plus 250+ more apps via Composio or your own MCP server. Powerful research, web & creative tools are built in, and every agent runs on the model you choose through one built-in AI Gateway.
Everything ad ops needs, in one harness
A multi-agent system, an observable workflow engine, a real tool harness, schedules, teams, and multi-account execution — built to run your accounts, not just chat about them.
A built-in multi-agent system, on a built-in AI Gateway
An orchestrator plus specialist agents — analytics, optimization, creative, research, safety and report — ship in the box. Each one runs on whatever model you choose, switchable any time on the Agents panel through one gateway.
- Orchestrator + 6 specialist agents, pre-wired
- Pick the model per agent — GPT-5.5, Claude, Gemini, Qwen, DeepSeek…
- Built-in AI Gateway: hundreds of models behind one key
Every request becomes an observable, reusable workflow
The agent auto-clarifies the goal, judges what's needed, plans the steps, executes them, and emits a plan you can read. Plan → Execute → Summarize → Verify → Notify is generated for you — and when a change needs your call, it pauses and asks for approval.
- Auto clarify · judge · plan · execute · output a typed plan
- Plan → Execute → Summarize → Verify → Notify, automatically
- Reusable workflows you can re-run, schedule, or share
A real harness — tools, skills, MCP, sandbox, memory, all automatic
Mid-run the agent picks the right tool, skill, MCP server and sandbox on its own — web search, Google Trends, Firecrawl, Exa neural search, a hosted browser, image/video generation and a Python sandbox — and manages its own context and memory. It reads its execution history and the account, self-repairs errors, and keeps the task on track.
- Built-in tools: web search · Google Trends · Firecrawl · Exa · hosted browser · image/video · Python
- Auto-selects tools, skills, MCP servers and the sandbox — plus Composio & your own MCP
- Automatic context + memory; self-repairs from results; reads run history + account state
Set it once. It runs 24/7.
Turn any task into a scheduled job — hourly, daily, weekly, or a raw cron in any timezone. Each fire re-evaluates against live data, so a recurring optimization never re-proposes yesterday's actions, and every run can email a summary.
- Cron schedules with per-IANA timezone
- Re-evaluates live data on every fire — closed-loop
- Per-schedule approver email + failure alerts + run-now
Organizations, roles, and everything scoped to your team
Create multiple organizations and set each member's permissions — admin, editor, or member. Manage your skills, integrations and assets per org, with cross-org sharing when you want it and isolation when you don't.
- Multiple organizations · per-member roles (admin / editor / member)
- Manage skills, integrations and assets per org
- Cross-org sharing toggle · per-org keys, audit and billing
One context, many platforms and accounts — executed together
The Context Picker runs across many accounts at once and pulls every connected platform into a single execution. Native support for the 27 platforms you connect with your own account — Google Ads, Microsoft Advertising, DV360, Campaign Manager 360, Search Ads 360, Meta Ads, TikTok Ads, Reddit Ads, Pinterest Ads, Snapchat Ads, LinkedIn Ads, X Ads, Google Ad Manager, AdSense, AdMob, GA4, Search Console, BigQuery, Tag Manager, Merchant Center, YouTube, Klaviyo, HubSpot, GitHub, Shopify, SHOPLINE and Stripe; DataForSEO and Context.dev are built in with nothing to connect, 29 platforms in all — plus 250+ more apps through Composio and your own tools via custom MCP.
- Native: 27 platforms — Google Ads · Microsoft Advertising · Meta · TikTok · LinkedIn · X Ads · Snapchat · Reddit · Pinterest · DV360 · CM360 · SA360 · Ad Manager · AdSense · AdMob · GA4 · Search Console · BigQuery · Tag Manager · Merchant Center · YouTube · Shopify · SHOPLINE · Stripe · HubSpot · GitHub · Klaviyo
- 250+ more apps via Composio — Gmail, Outlook, Slack, Notion, Salesforce…
- Bring your own tools with a custom MCP server
A real agent harness — not just a chatbot
The capabilities that make it operate like an experienced ad-ops engineer: it delegates, picks its own tools, asks before it acts, remembers, learns, and fixes its own mistakes.
Sub-agents that delegate
An orchestrator decomposes the goal and hands steps to six specialist agents — analytics, optimization, creative, research, safety and report — each on the model you pick.
A deep toolbelt, chosen on the fly
Mid-run the agent picks the right tool itself — your ad & analytics platforms, web search, Google Trends, Firecrawl, Exa neural search, a hosted browser, image/video generation, a Python sandbox, plus Composio and your own MCP servers.
Auto-clarification
Before it plans, the agent asks about anything ambiguous — accounts, thresholds, the real goal — so it never guesses with your budget.
Autonomous mode
Flip on read-only autonomy or auto-approve for hands-off runs and 24/7 schedules — or keep the approval gate on every write. Your call.
Account memory
Per-account memory — target CPA/ROAS, protected campaigns, excluded geos, rules — is recalled on every run, so it operates the way you do.
Account & run history
It reads the account's change history and its own past runs to stay on track and avoid re-proposing yesterday's actions.
Auto-built skills
A successful run is distilled into a reusable Skill, so the agent follows your proven method next time instead of starting from zero.
Error self-repair
It reads tool errors from results and self-repairs mid-run — re-validating, correcting arguments and retrying — instead of failing the task.
PPT decks & reports
Turn a run into a client-ready slide deck or report — the agent drafts the narrative, charts and slides (built-in PPT generation), and you can edit them.
Plan gap-critic
An independent critic reviews the draft plan before it runs — catching missing steps and known pitfalls from past runs, and revising it before anything executes.
Dynamic plan expansion
When a step reveals more work than expected, the agent expands the plan on the fly — adding the steps it needs instead of stopping short.
Asks you mid-run
If it hits a fork it can't resolve during execution, it pauses and asks you — in-app or by email — then continues with your answer.
Live dashboards that rebuild themselves
Turn a connected account into a shareable dashboard in a couple of clicks, or describe the one you want and let the agent build it. Put it on a schedule and it keeps itself current — replaying the same queries, so what you shared yesterday is the same page with today's numbers.
- Seven built-in templates, or one the agent designs
- Google Ads, GA4, Meta, AdSense, AdMob, Ad Manager and Search Console ship as ready templates. Need something else? Ask in a task and the agent builds the page, then save it as a card.
- Refreshes replay queries, never re-interpret
- A scheduled refresh re-runs the same reads through the same renderer. No model is involved, so the numbers move and the structure can't drift — and a failed refresh keeps serving the last good snapshot instead of blanking the page.
- One stable link you can revoke
- Every dashboard has a permanent URL. Publish it to share with a client, unpublish and it stops resolving immediately — no cached copy left serving after you pull it.
Agent Mail: send a task from your inbox — it waits for your yes
Agent Mail reads the task out of your email, works out the plan, and replies with what it would run and where. Nothing starts until you confirm, and any account change it proposes still queues behind the same approval gate as everything else.
- Send a task from your inbox
- Subject and body become the goal. No app to open, no format to learn — and no credentials to set up, because your sign-in address is the identity.
- Nothing runs until you confirm
- An email can be spoofed more cheaply than a session, so inbound mail never starts a task directly. It creates a pending intent and replies with what would run, in which organization.
- Standing rules for the mail you expect
- Author a rule in-app — conditions plus an instruction — and matching mail runs without the per-email confirm, capped at 10 fires a day per rule.
Run every agent on infrastructure you already pay for
Point agent LLM calls at your own OpenAI-compatible endpoint — Azure AI, vLLM, OpenRouter, or a model you host — instead of the built-in AI Gateway. LLM tokens on it are zero-rated, so you pay your provider directly, not platform credits.
Azure AI Foundry, vLLM, OpenRouter, or a model you host yourself — paste the base URL, model id and key.
Saving runs a live call against your endpoint first. A dead URL, key or model never persists.
Tokens on your endpoint cost $0 platform credits — you pay your provider directly. Tool, browser, sandbox and media calls still meter.
Built on the opposite assumption from everything else
The problems it actually solves — and why teams don't switch back.
Reads are free. Writes wait for you.
Most marketing AI is a black box — you flip a switch and hope for the best. Here every mutation pauses at a gate — in-app or magic-link email — and a single reject skips that step instead of aborting the run.
A source of truth you trust.
Join Ads cost with your own BigQuery / CRM mart and let pause and budget decisions run off the numbers you believe — not Google's conversion guesswork.
It remembers your methodology.
A Skills library plus per-account memory — target CPA, protected campaigns, rules, history — captures how you operate and applies it on every run.
Move across accounts without breaking them.
One goal fans out across an entire MCC with a dryRun blast-radius preview first, v22 GAQL guardrails, sanity-checks, stale-state re-validation, and partial-failure tolerance.
Already evaluating a PPC tool? See how it stacks up.
Honest, side-by-side write-ups against the tools people usually shortlist alongside us — what each one gets right, and where the agentic, approval-gated model is different.
Built to be trusted with real accounts
Autonomy without visibility is a liability. Every run is observable end to end, every write is approval-gated by default, and every change is logged — so you get the speed of an agent with the accountability of a human-run process.
Full observability, before anything ships
Every task is a step-by-step plan you can read — the reasoning, the exact tool and arguments — not a black box. Reads run in the open; nothing changes on your account unseen.
Plan → Approve → ExecuteAn approval gate on every write, by default
Each mutation pauses until you say yes — in-app or by a one-time email magic-link, with the full reasoning attached. Auto-approve is an opt-in per task or schedule, and it never covers a write a platform marks as a person's decision. One reject skips that step; the run keeps going.
In-app or emailA complete audit log
Every mutation is recorded — who, when, the channel, the decision, and before/after detail. Nothing changes silently, and you can trace any change back to the run that made it.
Who · when · whyReliability: stale-state checks & self-repair
Before a write executes, live account state is re-validated — a change planned against old data is rejected instead of applied blindly. Tool errors are read from results and self-repaired mid-run instead of silently failing the task.
Re-validated · self-healingEncrypted credentials, isolated per org
OAuth tokens and connector keys (Composio, custom MCP) are encrypted at rest and scoped to your organization — never shared across orgs, never returned to the browser.
Encrypted at restScoped permissions & guardrails
Per-account memory carries protected campaigns, target CPA/ROAS and excluded geos into every run, and on the ad platforms the guardrails block an unattended change to a protected campaign. Admin / editor / member roles decide who may connect and manage the accounts themselves.
Roles · protected campaignsFrom a goal to shipped changes — with a gate in between
One loop, end to end. Watch the three stages, or click through them.
Real jobs it runs end to end
Concrete, multi-step work across your whole marketing stack — SEO, analytics, paid ads, publisher revenue and whole-MCC scale — plus the CRM, Slack and reporting workflows that turn a marketing insight into business impact. Each from a plain-language goal, with every write gated by your approval.
See what's happening — without touching a thing
Cross-source reads that turn raw account data into a decision: what moved, why, and what to do next.
- GA4 + Google Ads + Search Console, joined
- Flags anomalies and ranks next actions
- Read-only — never changes your account
Summarize the last 7 days — cost, conversions, CPA, ROAS, CTR — flag any campaign whose CPA moved >25% and give me 3 ranked next actions.
Find ads that are DISAPPROVED or SITE_SUSPENDED with their policy topics and email me the full list.
Summarize the last 7 days of change events grouped by user and resource; highlight budget changes over 20%.
Cut waste and rebalance to ROAS
Pause the leaks, mine wasteful search terms into negatives, and shift budget toward your winners — every write waits for your approval.
- Pauses, negatives and budget shifts
- Decisions run off the numbers you trust
- One reject skips a step, not the whole run
Pause campaigns under 1.5× ROAS across all accounts.
Flag search terms with cost over $20 and zero conversions, then propose campaign negative keywords.
Move 20% of budget from campaigns under 1.5× to my top 3 above 3×; show a before/after table.
Stand up new campaigns, end to end
From a brand Search campaign to a full Performance Max with generated assets, or a remarketing audience wired from GA4 — drafted paused, for your review.
- Search, PMax and remarketing builds
- Generates missing images and ad copy
- Created paused — nothing goes live unreviewed
Create a paused brand Search campaign with one ad group, 3 phrase keywords and a responsive search ad.
Create a paused PMax campaign with an asset group; generate any missing images and link them.
Read my GA4 behavior data, build a matching GA audience, and wire it into a remarketing campaign.
Operate across the whole MCC
Fan one task across every account with batch operations, run bid experiments, and research the market — at agency scale.
- Batch operations across many accounts
- Pattern-matched, dry-run-first changes
- Experiments and competitive research
Across the selected accounts, pause campaigns matching ‘Test_’ or ‘Legacy_’ but never anything with ‘brand’ — dry-run first.
Recommend device, geo and ad-schedule bid modifiers from 30-day data and run a 50/50 experiment for 14 days.
Study competitor sites and the market, then craft a launch strategy — keywords, angles and budget.
Grow traffic and monetize — beyond ads
Marketing isn't just paid: monitor SEO in Search Console, analyze GA4, and optimize publisher revenue across AdSense and Google Ad Manager — all from the same agent.
- Search Console: ranking drops & content gaps
- GA4: channel, funnel & conversion analysis
- AdSense + Ad Manager: earnings, RPM & inventory
From Search Console, find queries and pages that lost clicks, impressions or average position week-over-week and rank the biggest SEO drops.
Surface high-impression, low-CTR queries and page-2 keywords in Search Console, and propose the pages and titles to improve.
Break down conversions by channel and landing page in GA4, flag the biggest funnel drop-offs, and recommend where to invest.
Analyze AdSense earnings, RPM and top pages, flag drops, and recommend ad units and placements to test.
Review Google Ad Manager delivery — fill rate, impressions and eCPM by ad unit — and flag underperforming inventory.
Marketing doesn't stop at the ad platform
Wire outcomes into the tools your business actually runs on — CRM, Slack, email, Notion — so a campaign insight becomes a sales lead, a real-time alert or a brief, instead of a copy-paste job.
- CRM sync ties ad spend directly to pipeline
- Real-time Slack alerts catch overspend before it compounds
- Reports and research land where your team already works
When a visitor crosses my GA4 MQL threshold, create or update the contact in HubSpot with their campaign, source and last-touch channel.
Post an alert to #paid-media whenever daily spend crosses 120% of pace, or a campaign's CPA jumps over 30% day-over-day.
Every Monday, summarize GA4, Search Console, Google Ads and AdSense performance into one report and email it to leadership.
Research this month's top 5 competitors' positioning and ad messaging, and add a structured brief to our Notion workspace.
Trusted with real budgets
Every quote below is a verbatim review on G2, linked to its source. We rated 4.8 out of 5 across 3 reviews — a small number, and we would rather show you the real ones than a wall of invented praise.
“I also appreciate that it doesn't blindly make changes, bid and budget adjustments still require approval, which makes it feel much safer to use in a real account. It feels less like a replacement for marketers and more like a helpful teammate that takes care of the repetitive work while keeping you in control.”
Turning search-term data into negative keywords without the manual review, and running GA4 A/B analysis broken down by device, source and new vs returning users.
“We usually have to check Google Ad Manager, AdSense, AdMob, and analytics separately before we can understand what is affecting revenue. Agent Planners helps pull the context together and turns it into a clear plan, like which inventory, placements, or accounts need attention.”
Monetization work scattered across Ad Manager, AdSense, AdMob and analytics — less time digging through platforms, more time on strategy and client recommendations.
“What I like best is that Agent Planners feels practical for real ad account work, not just another AI dashboard. It helps look across tools like DV360, Google Ads, GA4, Search Console, and Ad Manager, then turns the findings into a clear action plan. […] I also like that it asks for approval before making changes, so it feels safer to use with client accounts.”
Jumping between DV360, Google Ads, GA4, Search Console and Ad Manager just to work out what needed attention, then writing the notes up by hand.
Quotes are verbatim from reviews collected and hosted by G2, shown with the reviewer name, role and company size exactly as G2 publishes them. Read them on G2.
Questions, answered
Yes — security is our first priority. Every write pauses at an approval gate by default, the irreversible or money-moving ones wait for a person even when you opt into hands-off, every action lands in an operation / audit log, and you get email notifications for approvals and completions. Every integration, key and permission can be deleted and revoked at any time.
Not unless you let it. Reads run freely; every mutation waits for a human by default — approve in-app or by magic-link email. Turning on auto-approve for a task or schedule, or minting an API key for autonomous writes, is how you opt into hands-off, and even then every write passes the guardrails and a write a platform marks as a person's decision still never applies without one. A single rejected step is skipped, not the whole run.
Both. Each pending write shows its title, the agent's reasoning, the exact tool and arguments, and the task goal. Approve it in the Workspace, or click a one-time magic-link sent to an approver's email. Before a write runs, the Safety agent re-validates live account state, so a plan built on stale data is rejected rather than applied.
It connects 27 platforms natively, over OAuth or a pasted token. Google: Google Ads (including MCC), Display & Video 360, Campaign Manager 360, Search Ads 360, Google Ad Manager, AdSense, AdMob, Google Analytics 4, Search Console, BigQuery, Google Tag Manager, Merchant Center and YouTube. Other ad platforms: Microsoft Advertising, Meta Ads, TikTok Ads, Reddit Ads, Pinterest Ads, Snapchat Ads, LinkedIn Ads and X Ads. Commerce, CRM, code and email: Shopify, SHOPLINE, Stripe, HubSpot, GitHub and Klaviyo. Built in, with nothing to connect: DataForSEO (SEO and SERP research) and Context.dev (web data and page monitors). The homepage’s count of 29 is those 27 plus the two built in. See platform-by-platform use cases on the Platforms page. Plus 250+ more apps (Gmail, Outlook, Slack, Salesforce, Notion…) via Composio and your own MCP servers.
Yes. Connect Google Ads with its MCC hierarchy and select many accounts in the context picker — the agent fans one goal across them. Cross-account writes always show a dry-run blast-radius preview first, then re-validate live state before applying.
Yes. Add a custom MCP (Model Context Protocol) server on the Integrations page — give it a name, a Streamable-HTTP URL and an optional token — and the agent auto-discovers and calls its tools. For pre-built SaaS actions (Slack, Salesforce, Notion and more) connect Composio instead.
Yes — the opposite direction from custom MCP servers above: here, an external agent calls in to run tasks on your accounts. Agent Planners exposes a REST API and an MCP server, both authenticated with per-organization API keys. Point Claude Desktop or Claude Code at the MCP server, or call the REST API from Codex, a script or a CI job — either way it runs on the same orchestrator, with the same approval gates and credit metering as a task started in the Workspace.
Yes. The orchestrator and each specialist agent run on whatever model you choose, switchable any time on the Agents panel through the built-in AI Gateway — GPT-5.5, Claude, Gemini, Qwen, DeepSeek and more. By default the orchestrator uses a quality-first planner and specialists use a fast, low-cost model.
Yes — Bring Your Own Model, included on any paid plan. Point every agent at your own OpenAI-compatible endpoint (Azure AI, vLLM, OpenRouter, self-hosted) and its LLM tokens are zero-rated — you pay your provider directly instead of platform credits. Tool, browser and sandbox calls still meter as usual, and saving runs a live test call first, so a dead endpoint never persists.
Usage is metered in credits, billed per organization. A credit is a fixed slice of real model and tool cost: tasks spend credits on language-model tokens plus any external tools they call (web search, image/video generation, browser sessions, the Python sandbox). Cheaper models cost far fewer credits, so most of your burn depends on which models your agents use — a typical optimization task runs roughly 1,350–1,900 credits.
Every organization gets free monthly credits (2,500 on the free tier) with no credit card required to start. You can subscribe or buy credits without a subscription: Free: 2,500 credits a month, no credit card; Lite $29.90/month for 30,000 credits, Starter $100/month for 100,000 credits, Scale $500/month for 550,000 credits, Agency $1,000/month for 1,200,000 credits — plan credits refresh every billing period (they don't roll over); or one-time credit top-ups with no subscription needed: 10,000 credits for $15, 25,000 credits for $35, 50,000 credits for $65, 100,000 credits for $120, or any amount from 5,000 to 500,000 credits — top-up credits never expire and stack on the balance. A plan credit costs $0.00083–$0.001, a top-up credit $0.0012–$0.0015 (a subscription is always the cheaper way to buy credits); a typical task uses 1,350–1,900 credits. Upgrade or top up on the Billing page; full details on /pricing.
Plan credits reset each billing period and don't roll over. One-time top-up credits stack on your balance, are used after the plan's credits and never expire, so they're there until you use them.
Runs are blocked at zero credits until the next monthly reset, a plan upgrade, or a top-up pack — nothing is charged silently. You can watch your balance and usage (by day and by model) on the Billing page.
Yes. Turn any goal into a scheduled job on a cron — hourly, daily, weekly or a raw expression — in your timezone. Each fire regenerates a fresh plan against live data, so a recurring optimization never re-proposes yesterday's actions. You can set an approver email, enable auto-approve, or trigger a Run now any time.
Yes. Each connected account carries durable memory — target CPA/ROAS, protected campaigns (e.g. never pause anything matching "brand*"), excluded geos, pacing and custom rules — that the agent reads on every run and you can edit on the Memory page. On the ad platforms a protected campaign is also enforced: an unattended budget, bid or status change to one is blocked. You can also capture your methods as reusable Skills.
Yes. Every workspace is an organization with isolated accounts, integrations, skills, assets, audit log and billing. Create as many orgs as you need, set per-member roles (admin / editor / member), and fan one goal out across an entire MCC.
OAuth credentials and tokens are encrypted at rest and isolated per organization, and are never returned to the browser. Reads and writes are scoped to the accounts you connect, every mutation is recorded in the audit log, and you can revoke any integration or key at any time. See the Privacy page for details.
Whatever you write in. Plans, reports and the agent's own memory all match your language — describe a goal in English, 中文, 日本語 or others and get the same plan and the same guardrails.
No installation. Sign up, create your organization, connect an account on the Integrations page via OAuth, then write a goal in plain language in the Workspace. The orchestrator plans the steps and waits for your approval on anything that writes. The full guides live in the Documentation.
An AI agent that automates your marketing.
Multi-agent automation across SEO, analytics, ads and publisher platforms — Google Ads, GA4, BigQuery and more — plus 250+ apps via Composio and your own MCP. Bring an account, write a goal in plain language, and approve what ships.