Ad Age has published a roundup titled "GEO and AEO startups that marketers need to know." The piece groups emerging vendors into two categories aimed at the AI-search shift.

GEO means Generative Engine Optimization. AEO means Answer Engine Optimization. Both labels describe work targeting AI surfaces, not the traditional ten blue links. Ad Age's framing treats them as separate but overlapping disciplines aimed at brand visibility.

The publication released the piece for its brand-side advertising and media-buying audience. A roundup in Ad Age signals the categories have moved past niche trade chatter and into mainstream press, which usually follows real spending interest.

What's actually new

The categories themselves are not new. Generative Engine Optimization surfaced in marketing circles soon after ChatGPT's late-2022 launch. Answer Engine Optimization overlaps with older work like featured-snippet optimization, which has been a Google-side concern for nearly a decade.

What is new is the consolidation under one trade-press roof. Ad Age's roundup frames GEO and AEO as a defined market with named vendors, a kind of framing that usually follows brand-side RFP activity and agency brief signals.

Public portions of the Ad Age piece do not surface specific startup names, founders, or funding rounds. Marketers hunting for the named vendors will need the full Ad Age subscription or a republished excerpt.

Takeaway: the roundup is a labeling event, not a market debut.

How the categories actually work

GEO and AEO target two different surfaces. GEO work aims at large language models — how ChatGPT, Claude, or Gemini cite or summarize brand content when users ask questions. AEO work targets answer interfaces built on top of those models, where Google AI Overviews, Perplexity, and SearchGPT sit today.

The overlap is significant. A brand cited inside an AI Overview benefits from both categories. The measurement problems differ, though. LLM citations can be checked by querying the model directly. AI Overview visibility requires SERP scraping or vendor tooling.

No major platform publishes referral data from these surfaces today. Google has not added an AI Overview filter to Search Console. OpenAI has not released click or citation analytics. Vendors sell measurement using proxies — sampling, prompt libraries, and synthetic query testing.

Takeaway: marketers buying GEO or AEO tools should ask how each vendor defines success.

What to ask before you sign

Buyers should pressure-test three vendor claims. First, what does the tool measure — citations, mentions, referral traffic, or something synthetic? Second, how often does the vendor refresh its query set, since AI answers shift weekly and stale data is worse than no data? Third, does the tool offer action items, or just dashboards?

The honest answer to most of these questions today is "proxies." That limitation is not unique to GEO and AEO. Early SEO vendors in the late 1990s sold rank tracking before third-party rank data existed, and the category only matured once the search engines themselves exposed the underlying signals.

Takeaway: vendor dashboards today are educated guesses, not platform-verified numbers.

What to monitor next

Three signals will tell marketers whether the GEO and AEO category has staying power. Watch for Google to ship a Search Console filter for AI Overview impressions, which would unlock real referrer data. Watch for OpenAI or Anthropic to publish any referral or citation data, even partial. Watch for Ad Age or Adweek to run a follow-up roundup naming the same startups.

Repeat trade-press coverage is the strongest near-term signal. Marketers should track which vendors Ad Age names in any follow-up piece, since that shortlist will shape agency briefs through the rest of the year and likely decide who wins early RFPs.