AEO Platform for Growth Teams
AI engines are the fastest-growing acquisition channel—and growth teams without AEO data are optimising blind.
AI visibility at a glance
Challenges growth teams face with AI visibility
- No AI channel data in your growth dashboards—AI engine traffic is invisible or misattributed
- Cannot run A/B experiments on AI visibility because there is no baseline measurement
- AI-referred conversions are likely being attributed to direct or organic, inflating those channels' apparent performance
- Competitors gaining AI visibility while your team focuses exclusively on paid and organic search
- No way to identify high-intent AI queries where your brand is absent but could realistically compete
- Growth models that do not account for AI-driven discovery underestimate total addressable opportunity
How AEO Platform helps growth teams
AI Channel Analytics provides growth-team-ready metrics: AI mention volume, citation rate, referral estimates, and conversion attribution
Opportunity Discovery surfaces high-intent AI queries where your brand is absent but competitors are present
A/B monitoring lets you track the AI visibility impact of content changes, structured data updates, and llms.txt modifications
Competitive leaderboards show which brands are gaining or losing AI share in your category week over week
Funnel integration via API and webhook support connects AI visibility data to your existing growth analytics stack
Experiment tracking logs AEO changes alongside visibility outcomes, building an institutional knowledge base of what works
Features that matter for growth teams
A typical day using AEO Platform
A Growth Lead starts the day by checking the AI Channel Dashboard, which sits alongside paid, organic, and referral channel views in the team's analytics stack. AI-referred sessions are up 18% week-over-week, and the platform has attributed 23 new trial signups to AI-influenced journeys. The Growth Lead flags two AI queries with the highest conversion rates for the content team to prioritise.
During the weekly growth meeting, the team reviews the Opportunity Discovery report. AEO Platform has identified 40 high-intent queries where competitors are mentioned but the brand is not. The team selects the top 10 by estimated traffic potential and designs content experiments: new FAQ pages, updated product comparisons, and an llms.txt revision. Each experiment is logged in the platform's experiment tracker with a hypothesis and expected visibility lift.
By end of week, the Growth Lead reviews the results of last sprint's AEO experiments. Two of three content changes produced measurable AI visibility improvements within 10 days—faster than typical SEO experiments. The team documents the winning patterns and incorporates them into the standard content creation playbook, compounding AEO gains with each sprint.
AEO for Growth Teams FAQ
Common workflows
AI Competitive Intelligence
See where competitors appear in AI responses and identify gaps in your AI visibility.
Share of Model Tracking
Measure your brand's share of AI-generated recommendations vs competitors.
Prompt Discovery
Find the queries users are asking AI engines about your brand and category.
Industries where growth teams use AEO
Other teams using AEO Platform
For SEO Managers
Traditional SEO gets you ranked—AEO gets you cited, recommended, and chosen by AI engines.
For Content Teams
Every piece of content you publish is training data for AI engines—make sure it earns citations, not silence.
For Demand Generation
AI engines are influencing your pipeline before prospects ever fill out a form—measure and optimise that influence.
Start with the pages and proof that AI can actually use
Run the free audit to see what blocks AI from citing your site. Use the trial when you need ongoing monitoring, attribution, prompt discovery, and team workflows after the first fixes are live.