A Forbes contributor has called on the search industry to stop using the term "Generative Engine Optimization" and adopt "Answer Engine Optimization" instead, arguing the latter label better describes what practitioners actually optimize for.

The argument, published in a Forbes opinion column circulating via Google News on May 29, 2025, targets vocabulary — not technique. The author frames the terminology choice as a practical industry decision rather than a rebranding exercise. The column's title states the position directly: "Why We Should Stop Saying Generative Engine Optimization — Answer Engine Optimization Makes More Sense."

The Forbes piece is an opinion column, not a research study or a search-engine announcement. Its claims rest on the author's framing of how the industry should name its own practice.

Why does the terminology matter?

"Generative Engine Optimization" emerged as shorthand for work aimed at AI-generated surfaces — chatbots, AI Overviews-style features and LLM-driven search products. Critics of the term, including the Forbes columnist, argue the engine is not the thing being optimized. The output is what users see, and that output takes the form of answers.

Under that reading, "Answer Engine Optimization" shifts the focus to the deliverable. It describes optimizing content so answer engines cite it, summarize it accurately and attribute it correctly — regardless of which model or platform generates the response.

The distinction matters for practitioners scoping client work. A term anchored to "generative engines" ties measurement to specific platforms. A term anchored to "answers" spans every system that synthesizes a direct response, from AI Overviews to standalone assistants.

What is confirmed versus what is opinion?

Confirmed: Forbes published the column, and its headline takes a clear position against "Generative Engine Optimization" in favor of "Answer Engine Optimization." The piece is dated May 29, 2025 in syndication.

Opinion: every claim about which term "makes more sense" reflects the columnist's judgment. No search engine, standards body or industry survey is cited in the available material as endorsing either label. Readers should treat the terminology recommendation as commentary, not as an official policy shift.

Who feels the impact?

The terminology debate touches several groups differently:

• Agencies and consultants must name services clients can evaluate. A label change can reset expectations around deliverables and reporting.
• Publishers and content teams track citations inside AI answers. Their KPIs — brand mentions, cited links, answer accuracy — already describe answer-engine work in practice.
• Tool vendors build dashboards around named surfaces. A shift from "generative engine" framing to "answer engine" framing changes how products categorize the systems they monitor.
• In-house SEO teams write job descriptions and roadmaps. Vocabulary choices signal which skills the organization prioritizes.

The Forbes column itself does not, in the available text, quantify adoption rates for either term or cite traffic data from AI-driven answer surfaces. The available material consists of the headline and publication metadata.

Is this argument new?

No. The industry has debated naming for this work since chat-based search products went mainstream, with "Answer Engine Optimization," "Generative Engine Optimization" and "LLM optimization" all in circulation. What gives the current round weight is the venue: Forbes carries the terminology argument to a mainstream business audience, beyond SEO trade publications.

That mainstream reach is the concrete comparison worth noting. Terms confined to practitioner blogs stay practitioner jargon. Terms carried by Forbes columns reach CMOs and procurement teams who approve budgets.

What should practitioners watch next?

Watch whether major vendors, conference programs and certification bodies follow the Forbes columnist's lead and standardize on "Answer Engine Optimization" in their official materials over the coming quarters — that adoption, more than the column itself, will settle the naming question.