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69% of Marketers Post More AI Content as AEO and Local Compute Rise

By InnovaAI Research2 min readBlog

A new research report finds 69% of marketers are publishing more AI-generated content than last year, even as AI search optimization and local compute strategies emerge as the next battleground for agency differentiation. Agencies that ignore Answer Engine Optimization and AI orchestration now risk losing visibility for clients in AI-powered search results.

Key Facts

0169% of marketers are publishing more AI-generated content than last year, intensifying competition for AI search visibility.
02Answer Engine Optimization (AEO) is emerging as the successor metric to traditional keyword rankings for clients in AI-driven search environments.
03Local AI compute, highlighted by Search Engine Journal in September 2026, offers agencies a way to reduce frontier model costs and protect client data.
04Zapier's September 30, 2026 orchestration guide outlines how multi-agent coordination can eliminate manual handoffs across agency workflows.
05AI visibility data paralysis, a gap between available signals and actionable insights, is a growing operational problem agencies must architect around.

Why does this matter for agencies?

▶Content volume no longer differentiates agency output when 69% of marketers are already producing more AI content. Visibility in AI-generated answers is the new ranking.
▶Clients expect their agencies to track where they appear in ChatGPT, Perplexity, and AI Overviews. Agencies without an AEO measurement practice are reporting on an incomplete picture.
▶Local compute adoption directly affects agency margins by reducing per-query API costs, particularly for high-volume internal workflows.
▶AI orchestration converts isolated tool usage into repeatable, scalable processes, which is the operational difference between an agency that uses AI and one that runs on it.

What should agencies do?

Audit current client content against AEO criteria by running target queries through ChatGPT, Perplexity, and Google AI Overviews and recording citation rates. Use a tool like Profound, Peec, or SE Ranking to establish a baseline measurement.

medium effort

Build an orchestration workflow in Make or Zapier that connects AEO tracking data to your client reporting dashboard, reducing manual data consolidation to zero steps.

medium effort

Pilot Ollama or a comparable local compute setup for internal-only tasks such as content audits, brief generation, and report summarization to reduce frontier model API spend.

high effort

Reframe client deliverables to include an AI citation rate alongside traditional metrics, showing percentage of tracked queries where the client appears in an AI-generated answer.

low effort