AI Growth Marketer
Capabilities
This page lists what the agent can actually do today. Platform-by-platform detail is on supported ad platforms; what needs a human yes is on approvals and limits.
Research and analysis
- Query performance across every connected channel from one place, joined with your store or analytics data
- Diagnose a metric that moved: isolate where the change came from and what drove it
- Run live queries against Google Ads, including bid simulations
- Research keywords on Google, Microsoft and Pinterest, including volumes, historical metrics and ad group themes
- Search public ad libraries on Meta and TikTok to see what competitors run, and recreate any of those ads for your brand
- Read a web page when a question needs it
- Read organic search performance from Google Search Console: the queries you rank for, impressions, clicks and position

Creative
- Generate images, video, voiceover, music and sound effects
- Build a complete ad set from a product URL, a Shopify product or a written brief, with the copy, the images and the video
- Work from the assets you already have, in your store, on your site or uploaded, rather than starting from nothing
- Turn a folder of assets into finished ads in bulk, matched to the right products and copy
- Inspect an image or video and describe what is in it, including for competitor ads
- Tag your own creatives at scale, on whatever dimensions you care about: hook, format, talent, offer, setting, product, pacing, and anything else worth comparing
- Report creative performance by tag, including for Facebook, YouTube, LinkedIn and Pinterest
- Keep the asset library labelled, and export finished assets to Google Drive


Campaigns
- Read the full structure of a connected ad account: campaigns, ad groups or ad sets, ads, audiences, budgets, bidding and targeting
- Propose new campaigns, ad groups and ads on Google, Microsoft, Meta, TikTok, Pinterest, Reddit and ChatGPT Ads
- Propose keyword and negative keyword changes on search platforms
- Propose budget, bid and bidding-strategy changes
- Propose targeting, geo and delivery status changes, within the limits on supported ad platforms
- Propose catalog and shopping changes, including product groups and listing groups
- Rewrite ad copy on campaigns that are already running
One campaign, three ad groups and eight keywords, built from the searches people already run. $40 a day, target cost per order $35.
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Tracking and measurement setup
- Read your live Tag Manager container: tags, triggers, variables, pixels and conversions, with an optional check against the live site
- Propose tag and trigger changes, including GA4 configuration and events, Google Ads conversions, the conversion linker, and pixels for Meta, Microsoft, Reddit and ChatGPT Ads
- Propose GA4 audiences, key events and Google Ads links
- Propose conversion changes on the ad platforms themselves
- Check a Merchant Center account: links, products, approval status and diagnostics
Each tag fires on an event your store already sends. The purchase tag passes the order ID, so TikTok can drop duplicates.
TikTok Pixel · BasePixel loaderAll pages
TikTok · AddToCartEvent with value and currencyadd_to_cart
TikTok · InitiateCheckoutEvent with valuebegin_checkout
TikTok · CompletePaymentEvent with value and order IDpurchase
Store and site
- Pick products straight from your store and make ads, product shots or listing content from their own photos
- Read Shopify products, theme files and taxonomy, and query the store with ShopifyQL
- Propose new products and collections
- Build and publish campaign landing pages in the store
- Build and edit pages in your website repository, when a GitHub connection is configured
Pick product photos to create images and videos for your ads or listings.
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Reporting and delivery
- Write an analysis with charts and tables, drawing on every connected source at once
- Build a dashboard around the metrics you name, laid out the way you want to read it
- Track findings over time, so a recurring issue is recognised rather than rediscovered
- Post results and proposals to Slack, or send them by email
- Keep working in the background on a schedule, on an event, or as a standing assignment
Marketing science
- Run A/B tests on Google Ads and Meta. Split a campaign, run the test, and read the result. Included with the AI growth marketer.
- Run geo incrementality tests. Design the test, pick the regions, launch it and read the lift. Priced per test: see incrementality test pricing.
- Add an ongoing marketing mix model. Incremental performance across the whole portfolio, kept up to date, including the channels no test can hold out. Priced separately: see marketing mix model pricing.
- Read and explain any of those results, and turn them into the budget and creative decisions that follow.
How performance is judged
What the agent optimises toward depends on what you have connected:
| Connected | What performance means |
|---|---|
| Ad platforms only | Platform-reported conversions, the default |
| Google Analytics | Analytics conversions alongside the platform numbers |
| Incrementality tests | Measured lift for the channels you have tested |
| Marketing mix model | Incremental contribution across the whole portfolio, kept up to date |
Where those sources disagree, and they will, you can ask the agent to reconcile them: why the platform claims more than analytics, which number to trust for the decision in front of you, and what it means for where the next dollar should go. It knows how these methods differ and where each one is weak, so the answer is a judgement about your case rather than a restatement of four numbers.