For agencies · Ecommerce · Ads ops

The AI Layerfor Ads.

A senior PPC analyst across every account, on call. Connect once at the org level. Ask anything. Get the answer with the working shown — over web, Slack, WhatsApp, or your own MCP host.

Book a pilot See how it works
Live in production $17M annual connected ad spend EU-resident · audit-logged · least-privilege
Claude via MCP adpeak connected
Optimize your entire catalog Balance ad spend across thousands of products, not just your top performers.
Why this exists

Reporting is slow. AI tooling doesn't fit how teams actually work.

Reporting takes hours, answers feel shallow

Dashboards tell you what. Nobody answers why. Senior analyst time gets eaten by Mondays.

AI tools don't fit how teams actually work

Personal tokens fanned across laptops. No audit trail. No org model. Defensible to nobody.

A governed analyst, on call

One platform, three things it does well

Reads everything

Google Ads, Merchant Center, Shopify — joined. Catalogue context, not just campaigns.

Governed

Org-level OAuth. Scoped delegation per teammate or client. Full audit log. One-click revoke.

On call

Web, Slack, WhatsApp, or your own MCP host. Same agent, same context, everywhere.

Available today

What you can ask

Ask anything

"Why is Performance Max spend up 20% this month?"

Ask anything

"Which products are quietly bleeding margin?"

Ask anything

"Which winners are out of stock?"

Ask anything

"Walk me through this account."

Ask anything

"Which feed disapprovals are suppressing converters?"

Ask anything

"What changed in the last 7 days?"

Three steps

How it plugs in

Connect once at the org level

One OAuth, scoped to your org. Tokens belong to the org, not anyone's laptop. Add Shopify or Merchant Center the same way.

Distribute via MCP to your team

Each teammate gets a scoped seat. Use the web app, Slack, WhatsApp, or plug their own AI client into your MCP.

Ask anywhere

Same agent, same context, every surface. Conversation history preserved. Audit log every action.

Coming soon

Plan and apply — the diff-and-apply pattern, for ads

Today the agent reads. Soon, it proposes — every change in plain English. You approve. It applies atomically with rollback.

Plain-English diffs

Every proposed change written so a human can read it in five seconds.

Approve before apply

Nothing changes until you say so. Per-account approval rules.

Atomic execution with rollback

Every step succeeds or every step rolls back. No half-applied plans.

On the roadmap

Agentic strategy authoring

Give an agent a sandbox. It writes a bespoke product-labelling strategy for your catalogue, runs it, shows the working. The strategy you'd build if you had a quant team.

See how product labelling works today →
Two paths

One platform, two ways in

For agencies

"One agency. One MCP. Every client account." Org-level OAuth, scoped delegation per client, full audit trail.

For agencies →
For ecommerce

"The catalogue is the moat." Shopify orders × Ads spend × Merchant Center feed health, joined.

For ecommerce →
Governed by default
  • Org-level OAuth
  • Scoped delegation
  • Full audit log
  • EU residency
  • Read-only by default
  • Bring your own AI tokens
Where it goes from here

Three capabilities, shipping in this order

Available today

Agentic reporting + governed connections

A senior analyst on call, governed by your org.

Coming soon

Plan-and-apply

Plain-English diffs. Approve before apply. Atomic with rollback.

On the roadmap

Agentic strategy authoring

Bespoke labelling strategies written for your catalogue, sandboxed.

Proven results

View all posts »

See how agencies and eCommerce businesses are using AdPeak.

FAQs

Frequently asked questions

What it is, what's safe, what it costs in time.

What is MCP?

Model Context Protocol — an open standard that lets AI clients connect to tools and data sources. AdPeak runs an MCP server in front of your ad accounts. Your team can use the AdPeak web app, Slack, WhatsApp, or plug their own AI client (Claude, etc.) directly into your MCP.

Do you store our data?

We cache only what we need to answer your questions efficiently, in EU regions. Tokens are stored encrypted. You can revoke any connection in one click and we destroy the cached data.

How is this different from a dashboard?

Dashboards tell you what. AdPeak tells you why — and shows the working. It joins data across Google Ads, Merchant Center, and Shopify, then reasons about it. You can ask follow-up questions; a dashboard can't.

How does this fit with our existing tooling?

Read-only by default — no replacement of anything. Add it as another set of eyes on the account. If your team has its own AI tooling (Claude, internal LLM gateway), point it at the AdPeak MCP and you're done.

Can my team really use this in Slack?

Yes — same agent, same data, same conversation history. Each teammate sees only what their seat is scoped to.

What about plan-and-apply and strategy authoring? Do we have to commit?

No. The pilot is read-only — agentic reporting only. Plan-and-apply ships next; agentic strategy authoring is on the roadmap. You opt in to those when they ship.

Recognition

Awards and Nominations

Proud to be recognized by industry leaders

UK Search Awards 2025 Winner Badge

UK Search Awards 2025 Winner

Global 2025 Winner Badge

Global 2025 Winner

EPMA 2025 Finalist Badge

EPMA 2025 Finalist

“An outstanding, data-driven strategy with transparent objectives and a multi-layered, profit-focused campaign structure. Through smart automation, segmentation, and product activation, the team reversed declines and delivered great results in just three months — a truly impressive campaign.”

Judges' comments · Global Search Awards 2025

4-week pilot. Real accounts. Read-only.

Weekly sessions. Slack channel direct to engineering. Walk away clean if it isn't right.

Book a pilot
See pricing