94% of enterprise executives plan to increase their investments in Answer Engine Optimization and Generative Engine Optimization in 2026, according to a landmark survey published by Conductor and Search Engine Journal. The other 6% are probably still debating whether AI search is a fad.
The report, based on responses from over 250 enterprise leaders, confirms what those of us working in GEO have observed for months: the money is moving. Budgets are shifting from traditional SEO tactics toward the disciplines that determine whether AI engines recommend your brand or skip past you entirely. But not all organizations are approaching this shift with the same rigor, and the gap between leaders and laggards is widening fast.
The Numbers That Matter
- 94% of enterprises plan to increase AEO/GEO investments in 2026.
- 93% are building AEO/GEO capabilities in-house rather than outsourcing.
- New KPIs are replacing traffic-based metrics: conversions from AI referrals, brand sentiment in AI-generated answers, and AI search market share.
- Data quality remains the number one frustration cited by practitioners.
Aleyda Solis noted: "Brand sentiment is one of the key differentiators vs. traditional search. You might get mentioned in an answer, but if it's negative, the impact on your brand might not be positive."
What High-Maturity Organizations Do Differently
1. They Publish Original Research and Proprietary Data
AI engines prioritize unique, authoritative sources. Brands that publish original research get cited 3 to 5 times more often than brands producing derivative content.
2. They Treat Structured Data as Infrastructure
JSON-LD schema on every page, FAQ schema answering AI-extractable questions, entity-linked internal content, and llms.txt files.
3. They Measure What Matters
AI citation rate, citation sentiment, AI referral conversion rate, and Share of Model are the new KPIs.
The Three Signals That Make AI Engines Cite You
- Entity Authority: Mentions across 6+ authoritative domains
- Answer-First Structure: Key information in first two sentences
- Machine-Readable Content Architecture: llms.txt, schema markup, clean HTML
What Your Brand Should Do This Quarter
Month 1: Audit your AI visibility baseline.
Month 2: Fix content architecture (llms.txt, schema, answer-first formatting).
Month 3: Start publishing authority signals (original research, expert analysis).
Check your AI visibility in 60 seconds at audit.searchless.ai
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