Tech Times has published a guide on Generative Engine Optimization (GEO) for 2026, framing the practice as the emerging discipline of getting content cited by ChatGPT and Google's AI Overviews rather than ranking in traditional blue-link results.

The piece reflects a shift already visible in search traffic data: as AI-generated answers absorb queries that once produced clicks, publishers and SEO teams are reorienting their content strategies toward citation inside conversational engines. The Tech Times guide treats GEO as the successor skill set to conventional SEO, focused on how large language models and Google's AI Overviews select which sources to reference when composing an answer.

Neither OpenAI nor Google has published a formal, public specification for how sources earn citation inside ChatGPT or AI Overviews. That absence defines the current GEO market: practitioners work from observed engine behavior, testing which content structures, formatting choices, and authority signals correlate with being quoted, then publishing the resulting playbooks. Tech Times' guide belongs to that genre — practical guidance assembled from testing and observation rather than confirmed platform documentation.

This distinction matters for anyone weighing the advice. Google has confirmed some mechanics around AI Overviews — the feature draws on its core ranking systems and cites links it judges relevant and authoritative — but the company has not endorsed any third-party optimization checklist for citation placement. ChatGPT's browsing and search behavior is likewise documented only at a high level by OpenAI. Anything more granular in a GEO guide, including Tech Times' specific recommendations, is best read as practitioner inference, not engine-confirmed policy.

The audience for this guidance is broad. Content publishers, e-commerce sites, and B2B marketers have all reported material changes in click-through patterns since AI Overviews expanded across Google's results and since ChatGPT began answering with live search and citations. Verticals where users ask factual, research-style questions — health, finance, tech, travel, how-to content — tend to see the largest behavioral shifts, because those queries map naturally onto conversational answers. Sites dependent on long-tail informational traffic have the strongest incentive to study citation mechanics.

The underlying logic of GEO, as laid out in guides like Tech Times', is that generative engines reward attributes overlapping with but not identical to classic ranking signals. Clear, self-contained statements, structured data, verifiable claims, and established topical authority appear to increase the odds a model will lift and attribute a passage. The format of the reward differs too: instead of position one on a page of ten blue links, the prize is a named citation within a synthesized answer — often one among several, and often generating fewer outbound clicks than an equivalent organic listing.

That trade sits at the center of the industry debate. Publishers including major news organizations have struck licensing deals with AI companies to guarantee compensation and citation placement, while others have taken the opposite route, blocking AI crawlers to keep content out of training and answer pipelines. Between those poles, organic GEO — optimizing content so engines choose to cite it freely — is the middle path most sites are now exploring, which explains the flood of guides like the Tech Times piece.

Readers should apply the usual skepticism to any 2026-dated playbook published this early. The engines iterate quickly: Google has repeatedly changed how AI Overviews display and attribute sources, and OpenAI continues to adjust ChatGPT's search integration and browsing behavior. Tactics that correlate with citations today may not survive the next model update or interface change. The durable advice — original reporting, clear sourcing, structured presentation, genuine authority — matches what engines themselves say they want to cite.

What to monitor next: whether Google or OpenAI releases official guidance on source selection for AI answers, how citation placement evolves alongside Google's ongoing AI Overviews expansion, and whether independent traffic studies quantify how much click volume citations actually return compared with classic organic rankings.