ADS AI connects campaign analysis, budget monitoring, optimisation recommendations, AI-assisted copy and creative briefs. Visual generation and controlled campaign automation are the next stages of development.
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Advertising teams need more than another blank text field. ADS AI connects campaign context with structured proposals that a person can review, refine and take into production.
Review campaign information to guide copy and testing priorities.
Develop alternative messages, headlines and calls to action for a consistent campaign direction.
Turn a direction into a brief with a message, visual approach and test plan. Publishing decisions remain with the team.
ADS AI brings performance analysis, budget visibility and creative development into a shared advertising workflow. It helps a team understand what is happening, decide what deserves attention and prepare the next action.
Review an account, a campaign, an ad set or ad group, an individual ad, or a Google Performance Max asset group. Compare the selected period with earlier performance and keep recommendations attached to the relevant campaign element.
Examine spend, impressions, clicks, conversions, leads and purchase-related metrics. Use CTR, CPC, CPA, ROAS and frequency where the available data supports them. Diagnose declining results and prioritise hypotheses worth checking.
Review audience configuration, placements, bidding, delivery limitations and change history. Recommendations can describe an existing setting, a proposed adjustment and the evidence needed to assess it.
Assess conversion settings, attribution context and available tracking signals. Separate an observed measurement issue from a question that needs further verification.
Bring the business model, offer, campaign objective and CPA or ROAS targets into the assessment. Where connected store data is available, compare reported advertising outcomes with ecommerce activity while preserving their different attribution contexts.
Prepare alternative primary text, headlines and calls to action, supported by a creative brief and test plan. The development roadmap adds visual generation to the same workflow.
Track spend across Meta and Google Ads, compare actual and planned pace, and spot budget pressure before the month ends.
Campaign data and alerts
Performance and settings
Prioritised proposals
Review and follow-up
Useful optimisation needs context and traceability. The analysis separates observed facts, calculations, interpretations and hypotheses, flags missing or ageing data, and considers signals that challenge a proposed conclusion.
Proposals identify the relevant campaign element, explain the problem and describe what to change or test.
Test plans can state the hypothesis, control, changed variable, budget limit and stopping rule.
The current workflow supports proposal review, manual implementation tracking and verification. Teams retain control over campaign changes.
Meta and Google Ads form the current analysis foundation. The development direction extends both automation and channel coverage.
Campaigns, ad sets, ads, audiences, placements, bidding, attribution and creative recommendations.
Current analysis foundationCampaigns, ad groups, Performance Max asset groups, bidding, conversion goals and available search signals.
Current analysis foundationPlanned extension of the intelligence and optimisation workflow to professional-audience advertising.
Development directionPlanned extension to short-form-video advertising, creative signals and campaign optimisation.
Development directionOur product direction goes beyond analysis: AI that can monitor campaigns, select an appropriate adjustment and update advertising settings within an agreed operating policy.
We are developing this direction for Meta and Google Ads, with broader channel coverage planned. The current analysis workflow produces recommendations without automatically writing changes to advertising platforms.
Define allowed changes, spending limits, objectives and review requirements before automation acts.
Record the reason for a change, its previous and proposed settings, and the follow-up needed to evaluate the outcome.
Bring visual generation, copy proposals and campaign learning into the same development path.
Our development direction adds visual generation to the workflow, connecting campaign insight, brand context, copy and visual production. The workspace shown here illustrates that direction.