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AEO 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 AI engine visibility
- Unclear how AI engines select which brands to cite, because traditional ranking factors only partially apply
- Existing SEO tooling (Ahrefs, Semrush, GSC) was built for search rankings, not for AI engine mentions or citations
- Difficulty proving the return on AEO efforts to leadership without a defined measurement routine
- Technical audit gaps: unclear whether your site is set up for AI engine crawling and extraction
- Rapid evolution of AI engine behaviour with little official documentation or best practice
How seo managers can approach AI visibility
Start with a technical check: robots.txt rules for AI crawlers, sitemap, llms.txt, structured data, and FAQ and comparison pages. The free AEO Platform AI-readiness check covers these signals
Build a prompt list by turning your top Search Console queries into the full questions a buyer would ask an AI engine, and run them in each major engine
Review citations in engines that show sources and record which of your pages are cited, for which prompts
Compare Search Console rankings with AI answers per keyword to find pages that rank well but do not appear in AI answers
Prioritise fixes by effort and value: crawler access first, then answer-first formatting and schema on the pages with the most authority
Keep a dated log of each change and rerun the same prompts afterwards to compare before and after
Features that matter for seo managers
A typical AI visibility routine
An SEO Manager begins the morning by reading the results of the free AI-readiness check on the company's primary domain. It flags three technical issues: a key product page has no FAQ schema, the llms.txt file has not been updated since the latest product launch, and one AI crawler is disallowed in robots.txt. The manager creates tickets for each issue.
Mid-morning, the manager turns 15 high-value Search Console queries into buyer questions and runs them in ChatGPT, Perplexity, and Gemini. Several correspond to queries where the brand already ranks in the top 3 on Google, but the brand does not appear in the AI answers. These are the best opportunities, because the content already has authority but needs structural work for AI extraction.
In the afternoon, the manager updates the comparison sheet. Branded organic traffic and AI referral sessions in analytics are shown next to each other, with a note that AI referrer data is incomplete. The sheet supports a case for moving part of the SEO budget toward AEO, which the manager presents to the VP of Marketing.
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
Find out 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
Guides for other roles
For Growth Teams
AI engines are a fast-growing acquisition channel, and growth teams without AEO data are optimising blind.
For Content Teams
Every piece of content you publish is a potential source 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.
Can AI crawlers read and cite your site?
Run the free check to see technical signals: AI crawler access, sitemap, llms.txt, schema markup, and FAQ and comparison pages. It does not read live AI answers. No account needed.