AEO Platform for SEO Managers
Traditional SEO gets you ranked—AEO gets you cited, recommended, and chosen by AI engines.
AI visibility at a glance
Challenges seo managers face with AI visibility
- No equivalent of Google Search Console for tracking visibility across AI engines
- Unclear how AI engines select which brands to cite—traditional ranking factors only partially apply
- Existing SEO tooling (Ahrefs, Semrush, GSC) does not track AI engine mentions or citations
- Difficulty proving ROI of AEO efforts to leadership without dedicated measurement
- Technical audit gaps: no automated way to check if your site is optimised for AI engine crawling and extraction
- Rapid evolution of AI engine algorithms with no official documentation or best practices
How AEO Platform helps seo managers
AI Visibility Audit scans your site for technical AEO issues: missing structured data, poor AI crawlability, and citation blockers
Prompt-level tracking shows exactly which queries trigger AI mentions of your brand—and which do not
Citation analysis identifies which of your pages AI engines actually reference when mentioning your brand
SERP vs AI Gap Analysis compares your traditional search rankings against your AI engine visibility, revealing optimisation opportunities
Automated action plans prioritise technical fixes and content updates based on estimated AI visibility impact
Historical tracking lets you measure the impact of AEO changes over time with before/after comparisons
Features that matter for seo managers
A typical day using AEO Platform
An SEO Manager begins the morning by running the weekly AI Visibility Audit on the company's primary domain. The audit flags three issues: a key product page is missing FAQ schema markup, the llms.txt file has not been updated since the latest product launch, and two competitor brands have gained citation share for a high-value category query. The manager creates tickets for each issue, prioritised by the platform's estimated visibility impact scores.
Mid-morning, the manager uses Prompt Discovery to identify 15 new AI queries where the brand should appear but currently does not. Cross-referencing these with existing keyword data reveals that several correspond to high-volume traditional search queries where the brand already ranks in the top 3—but has zero AI engine visibility. These represent the highest-value AEO opportunities: content that already has authority but needs structural optimisation for AI extraction.
In the afternoon, the manager reviews the monthly SERP vs AI Gap Analysis report. It shows that organic search traffic for branded queries is declining 8% month-over-month, while AI-referred traffic (tracked via referral parameters) is growing 22%. The data makes a compelling case for reallocating a portion of the SEO budget toward AEO—a case the manager presents to the VP of Marketing with AEO Platform's exportable report as supporting evidence.
AEO for SEO Managers FAQ
Common workflows
Technical AEO Auditing
Identify technical blockers preventing AI engines from discovering and citing your content.
AI Citation Tracking
Measure which pages AI engines actually cite as sources in their responses.
SERP vs AI Gap Analysis
Identify keywords where you rank on Google but are invisible in AI responses.
Industries where seo managers use AEO
Other teams using AEO Platform
For Growth Teams
AI engines are the fastest-growing acquisition channel—and growth teams without AEO data are optimising blind.
For Content Teams
Every piece of content you publish is training data for AI engines—make sure it earns citations, not silence.
For Digital PR Teams
Every placement, mention, and backlink you earn is a signal that shapes how AI engines perceive and recommend brands.
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.