--- id: ins_aeo-competes-for-mentions-not-rankings operator: Maja Voje operator_role: Founder, GTM Strategist source_url: https://knowledge.gtmstrategist.com/p/aeo-how-to-make-ai-recommend-your-product source_type: essay source_title: AEO — How to Make AI Recommend Your Product source_date: 2026-04-17 captured_date: 2026-05-02 domain: [pmm, gtm, growth-demand] lifecycle: [positioning, growth-loops] maturity: applied artifact_class: framework score: { originality: 3, specificity: 4, evidence: 3, transferability: 5, source: 4 } tier: B related: [] raw_ref: --- # In SEO you compete for rankings; in AEO you compete for mentions ## Claim Answer Engine Optimization is a GTM capability, not a content side-project or SEO experiment. The unit of competition shifts from rank position to mention frequency in LLM answers. PMM is the right owner of AEO before SEO or growth absorb the surface, because mention-worthiness traces to positioning, not to keywords. ## Mechanism LLM answer engines synthesize from multiple sources rather than rank-ordering one. The page that gets cited is the one whose framing matches the user's intent and whose authority signals trust the model. That maps onto positioning and category narrative, which PMM owns. ## Conditions Holds when: the brand has an opinionated POV worth citing and structured presence to back it. Fails when: the brand has no differentiated POV, generic copy gets averaged out of the answer. ## Evidence > "In SEO, you compete for rankings. In AEO, you compete for mentions." · Maja Voje, GTM Strategist, 2026-04-17 > "AEO isn't a content thing or an SEO experiment. It's a GTM capability." · Maja Voje, GTM Strategist, 2026-04-17 ## Signals - AEO budget reports to PMM or revenue marketing, not to SEO. - Mention frequency tracked across assistants as a primary KPI. - Brand POV documents become the canonical input to AEO content briefs. ## Counter-evidence For commodity categories with no real differentiation, AEO collapses back into SEO mechanics, schema and crawlability dominate. ## Cross-references - (none in current corpus)