IQ Agents for your every use case

From creating reports to monitoring accounts, IQ Agents automate the manual, tedious, recurring marketing work. They work with your connected tools, are shared across the team, and run with your laptop closed. Explore what you can do with agents.

Who are you in the agency?

What do you want to do?

Build client reports on autopilot

Draft every monthly client report on schedule, ready for your team to review and send.

Write report commentary in your brand's style

Let an agent write the first draft of commentary in all your reports.

Pace budget for all your clients and campaigns

Track each client's ad spend against their budget on a schedule you set.

Bulk-edit every report in one go

Change a metric or setting across every client report at once. Check the list first, then apply it in one pass.

Monitor all your accounts in one place

Monitor every client's campaigns across every ad platform on a schedule you set. See what needs attention before the client does.

Onboard every new client from one prompt

Set up a new client's sources, tags and report from one prompt. Check the finished report before the client sees it.

Compare your numbers against benchmarks

Compare each campaign's PPC results with their industry's averages. Add actual numbers vs. benchmarks side-by-side in reports.

Report on every location in one place

Build a report for every location and one roll-up for all of them from the same data. Check what changed at each location before anything goes out.

Audit performance across every account

Audit every campaign daily or on any schedule you set. Get a digest of performance changes in Slack or email.

Create custom metrics, dimensions, and blends

Describe the metrics and groupings your cross-channel data needs in plain words. Agents build them across your sources, and you check them before adding to reports.

Find out why your ad creatives win or lose

Analyze creative performance across every platform in one place. See why the winners work and how to fix the rest, so your team can take action, fast.

Analyze search terms across every client account

Review every client's Google Ads search terms on a schedule you set. Get a short list of terms to add or exclude, ready for your team to check.

Map your PPC and SEO keywords in one view

Match the keywords you pay for against the ones you rank for. See where you're paying twice and which paid winners need an organic page.

Build custom API integrations with agents

Bring data from any marketing tool with an API into your Whatagraph reports. Share a key, approve what comes in, and check the numbers before it goes live.

Turn your reports into marketing decks

Turn your reports into decks in PowerPoint, Gamma or HTML. Check every number and the story before the deck goes to the client.

Try agents with your data

Anything you can explain to a teammate, you can hand to an agent.

Frequently Asked Questions

All your questions answered. And if you can’t find it here, chat to our friendly team.

What are AI agents for marketing?

AI agents for marketing are software systems that work autonomously on marketing tasks based on your connected tools and data, plus the context and instructions you give it.

Or, put simpler, AI agents for marketing are a kind of “teammates” whom you can onboard, train, and delegate your work to.

Arturas Lazejevas, CTPO of Whatagraph, frames it this way:

An agent is not a tool, it's a teammate. Imagine you’re hiring a specialist to do a task and work with specific kinds of tools. And you don't expect yourself to be available for the AI teammate to be able to do the job.

A marketing AI agent can:

- Read your marketing data across ad platforms, analytics, CRM, and reporting tools

- Monitor it on a schedule and flag anything that breaches a threshold you set

- Write report drafts, performance summaries, and client commentary

- Take action in connected tools, like pausing a campaign, adjusting a budget, creating a task, or posting to Slack

- Run on its own, on a schedule or triggered by an event, without you present

Specifically, Whatagraph IQ Agents are AI marketing agents that work off of the governed cross-channel data foundation you built on Whatagraph. Agents help streamline reporting workflows, automate recurring marketing tasks, and giving specialists time back to focus on strategy and recommendations for clients.

A Director of Analytics from a communications agency in the US says this about IQ agents:

"We believe the IQ Agents advance our team’s mission to empower the client teams with data-driven insights and recommendations that ensure the best possible decisions and outcomes for our clients."

What are the best AI agents for digital marketing?

The best AI agent for marketing depends on the job. General assistants like Claude, ChatGPT and Gemini are strong for one-off analysis and drafting. For work that repeats every week or month, such as client reports, commentary, budget checks and campaign monitoring, look for agents that work on the same data as your reports, run on a schedule, and are shared by the whole team.

IQ Agents come with pre-made agents for jobs like building reports, answering questions about your data, bulk-editing reports, onboarding clients and tracking competitors. You can copy and adjust any of them, or describe a new one in plain language. Many teams use both: Claude connected to their Whatagraph data through MCP for exploration, and agents for the recurring work.

What are some success stories of AI agents in marketing?

Here are the key ones we've seen from 30+ marketing agencies that tested Whatagraph IQ Agents and saw results:

  • A US communications agency cut reporting time by 50 to 75% and runs ad-hoc analysis 92% faster.
  • A UK SEO and PPC agency gave back 150+ hours for their specialists to focus on analyzing data and making judgements for clients rather than creating reports.
  • A German agency duplicates each client's report every month and has an agent rewrite the commentary on every tab, in German and in the agency's house style.
  • An agency changed the date view across a space of 70 reports in one run, after testing the change on one report first.
  • An agent built in about seven minutes found ads still spending a week past the end date in their names.
  • A spend monitor caught a real back-to-school spike across a client book on its first run.

For more case studies of AI agents in marketing, check out this article on AI marketing workflows.

How can AI agents enhance marketing strategies?

AI agentysgive your team more time and better information for strategy work.

Here's what we mean by this. AI agents make it easier and faster to gather data across multiple channels - in fact marketing teams that have used IQ Agents have reduced this data gathering time by 50 to 75%.

Then, with the data agents surface, your specialists can spend their time analyzing the data, coming up with more informed marketing strategies, and giving deeper recommendations to clients and teams. Specialists also now have the time they need to focus on strategy work rather than being stuck in the weeds.

What features should you look for in AI marketing agents?

Based on the 30+ marketing agencies we've talked to regarding AI marketing agents, here are the features we recommend you look for:

  • Access to your governed data. The agent should read the same blends, custom metrics and definitions your reports use, so the numbers in its answers match the numbers in the charts.
  • Schedules and triggers. Recurring work should run on its own, without someone starting each session.
  • Permissions and approvals. You decide which tools each agent can use and which actions need a person's approval first.
  • Team sharing. Anyone on the team can run, review or copy an agent, so the setup doesn't live in one person's account.
  • Memory for client context. Goals, tone and standing facts carry over from one run to the next.
  • Connections to your other tools. Delivery to Slack or email, and access to the tools you already use through MCP.
  • An audit trail. You can see what the agent changed and roll a report back.

How do AI agents automate marketing tasks?

An agent is set up once with a role: its instructions, the tools it can use and the client context it needs. It then runs on a schedule, or when something happens in your account, such as a new client folder being created.

On each run, it reads your data, does the job and hands back the result. That might mean duplicating last month's report and rewriting the commentary, checking spend against budget, or changing a metric across dozens of reports. In IQ Agents, every action goes through the permissions you set, and edits can be set to need approval before they run.

AI agents vs. traditional marketing strategies: which is better?

You don't have to pick one. Agents don't set strategy. They take over the repetitive work around it: data gathering, report updates, first drafts and routine checks. The judgment stays with your team: what a change means for the client, what was agreed on the last call, and what to do next.

The agencies getting the most from agents use them for the first draft and the monitoring, and keep a specialist on every decision and every sign-off.

What are the limitations of AI marketing agents?

AI agents are not invincible. They come with a set of limitations:

  • They only know what's in the data and what you tell them. A client call, a paused product line or a site change won't show up unless someone adds it.
  • They describe what changed better than why. Explaining causes usually needs a specialist who knows the account.
  • They need setup. Expect to write a clear brief and review the first few runs closely.
  • They run on schedules, not in real time. Several checks a day is easy. Instant alerts for a site going down need a different tool.
  • They need sign-off. A person should read anything before it reaches a client.

Can AI agents personalize marketing messages effectively?

Yes, when they have the right context. Personalization depends on what the agent knows about the audience: their goals, the tone they expect, past examples and words to avoid. Save standing facts to the agent's memory so every run uses them, and attach examples the audience responded well to.

Agencies use IQ Agents to write report commentary for each client, in that client's tone and language, including German and Dutch. Keep a person reviewing before anything goes out.