Search Engine Journal published "8 Generative Engine Optimization Strategies For Boosting AI Visibility in 2025" this week, the publisher's latest practitioner guide aimed at brands chasing placement inside AI-generated answers.

Generative Engine Optimization — GEO — is the working term covering content, structural and off-page moves intended to influence how large language models (LLMs, the AI systems behind ChatGPT, Google's AI Overviews, Perplexity and Claude) cite, summarize or surface a page.

The vocabulary moved from 2023 fringe jargon into mainstream SEO publishing through 2024. AI Overviews (Google's AI-generated answer summaries, live at the top of US results since May 2024) and ChatGPT search absorbed query volume once routed to blue links.

What does SEJ's guide actually contain?

SEJ's piece runs through eight tactics framed as a practitioner checklist. The article does not disclose sample sizes, lift percentages, named algorithms or controlled comparisons behind the eight moves.

That absence is the central thing readers should weigh before treating the list as a measurement study. The guide lands in a category where agency testing and editorial consensus drive the playbook rather than platform statements.

Google has said AI Overviews use standard Search ranking systems with a generative layer on top; the company has not published a citation playbook. OpenAI and Anthropic have disclosed even less.

Information vacuum is what trade press keeps filling, and SEJ's guide is the latest refill. That framing matters: a checklist drawn from practitioner consensus is useful, but it is not the same as a platform-validated ranking study.

Why is every trade publisher running the same list?

Search Engine Land, Moz, Ahrefs and Semrush have all run GEO or "AI SEO" checklists over the past 12 months, most of them landing in the eight-to-twelve-tactic range. SEJ's list lands inside that same cluster.

When every publisher runs roughly the same playbook, the consensus reflects shared practitioner thinking — and possibly shared guesswork. The honest read for buyers: a working framework, not a measured ranking guarantee.

The takeaway cuts both ways. Convergence across publishers gives agencies a defensible default when client work demands action; convergence also means the field is repeating itself rather than testing itself. Eight publishers running nearly identical lists in 12 months is not independent analysis. It is the same playbook copied across titles.

What does the market signal look like?

The category's commercial gravity is not in dispute. Enterprise SEO platforms have shipped AI-visibility dashboards through 2024 and 2025. Agencies have added GEO service lines to their rosters.

Investment is real even where measured lift is not. Brands are paying for placement inside AI answers because AI search now carries a share of query volume, not because any platform has confirmed the moves that win that placement. The budget trail runs ahead of the evidence trail.

SEJ sits in the middle of that flow. The publisher's readership is the agency and in-house SEO base that turns the playbook into client work. When SEJ publishes a checklist, agencies copy it; when agencies copy it, the tactics become industry default — without platform validation of whether they move citation rates at all.

How should readers use the playbook?

Vertical patterns remain observational. AI-search tracking tools now offer citation dashboards that show which domains surface inside AI answers and against which prompts.

Brands using those tools report directional patterns: authoritative publishers cite more often than thin affiliate pages, and B2B-focused domains surface at higher rates than e-commerce product pages.

No platform has confirmed a vertical preference or a domain-authority threshold inside AI answers. The data is observational; the conclusions it supports are early.

Practitioners who already rank well in traditional Search report higher baseline citation rates in AI Overviews — a pattern consistent with Google's stated reliance on standard ranking systems plus generative layering.

What to monitor next: a controlled study — either from a search platform or an independent research group — that names specific factors and measures citation lift under documented methodology. SEJ's guide is the latest in a wave of similar publications, and the wave will keep running until that study arrives. Until then, the GEO playbook is industry consensus, and consensus is not the same as confirmation.