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Home/AI Services/GEO & Brand Visibility

Be the answer when AI does the searching.

Buyers ask an AI assistant instead of scanning ten blue links. GEO (generative engine optimization) gets your brand cited in the answer.

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THE SHIFT

The numbers behind the urgency.

Per industry research, the move from search results to AI answers is a trendline with a slope.

up to 80%

of consumers rely on AI answers for a significant share of searches, per Adobe

~50%

projected decline in organic search traffic by 2028, per industry research

3×

year-over-year growth in AI search adoption, per industry research

If AI assistants cannot parse, trust, and cite your site, that traffic does not come back. GEO is the fix, and it compounds with content supply chain work.

WHAT WE DO

Audit, deploy, structure, measure.

01 · BASELINE

GEO AUDITS

A page-by-page baseline of how AI systems see your site: crawler access, entity clarity, answerable content, citation-worthiness, mapped to fixes in the Assess stage of the FrontRow methodology.

02 · PLATFORM

ADOBE BRAND VISIBILITY DEPLOYMENT

Implementation and configuration of Adobe Brand Visibility, connected to the AEM and analytics stack you already run.

03 · STRUCTURE

SCHEMA, LLMS.TXT, CONTENT STRUCTURING

Structured data (@graph JSON-LD), llms.txt, AI-crawler directives, FAQ blocks, and content rewritten so machines can quote it accurately, in AEM or your CMS of record.

04 · MEASUREMENT

BRAND-RADAR PROMPT TRACKING

Recurring tracking of the prompts your buyers ask across AI assistants: whether you are cited, how you are described, how that shifts.

PROOF BY PRACTICE

We run this playbook on our own site.

View source: single-object @graph JSON-LD, an FAQ block matching its schema word-for-word, AI-crawler directives, entity-clear copy. Every page on nextrow.com is built the way we tell clients to build, tracked with the brand-radar prompts we sell. Notes on Insights, the wider practice under AI Services.

WHY NOW

GEO rewards the early mover.

Early, well-structured sources keep getting cited as AI answers stabilize, and an audit and fix cycle costs a fraction of the paid media it saves.

Start with the audit

Fixed scope, fixed fee, a scored baseline and a prioritized fix list.

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Pair it with content ops

GEO findings feed straight into GenStudio and content supply chain work.

GENSTUDIO →

Watch the radar

Monthly prompt tracking turns AI visibility into a metric your CMO can own.

HOW WE REPORT →

THE PLATFORM · ADOBE BRAND VISIBILITY

Adobe put a platform behind the discipline.

Adobe announced Brand Visibility on June 17, 2026 as its unified GEO platform, folding Adobe LLM Optimizer into a system pairing Semrush market intelligence with Adobe execution and attribution. NextRow deploys and operates it.

~300M

real-world AI search prompts in the platform's data foundation, per Adobe, September 2026

350%

increase in AI citations at WK Kellogg within eight weeks, per Adobe's announcement

10×

citation increase at Slalom in four weeks, per Adobe's announcement

35%

citation increase at General Motors, alongside a 23% rise in AI presence, per Adobe's announcement

Adobe also reports that roughly 60% of searches now end without a click, and that AI-referred traffic converts at 4.4 times the rate of organic search. Brand Visibility tracks citations across ChatGPT, Claude, Google AI Mode, Microsoft Copilot and Perplexity, the engine set NextRow measures in its brand-radar tracking. These are Adobe's published platform results, not NextRow engagements. NextRow adds implementation, the fixes the platform recommends, and measurement tied to your pipeline.

ANSWERS · FAQ

What buyers ask about GEO

GEO is the practice of making your brand citable and cited in AI-generated answers. It is the successor discipline to SEO as assistants replace result pages. Per Adobe, 80% of consumers rely on AI-generated answers for a significant share of their searches. NextRow delivers GEO as audits, fixes, Adobe Brand Visibility deployment, and ongoing measurement.

Industry research projects roughly a 50% decline in organic search traffic by 2028, alongside 3× year-over-year growth in AI search adoption. The demand does not disappear; it moves into AI answers, where visibility is earned by structure and citability rather than by rank position alone.

Six things: AI-crawler access and directives, structured data quality (schema.org JSON-LD), llms.txt coverage, entity clarity, answerable content structure such as FAQ blocks, and citation-worthiness of key pages. The output is a scored baseline with a prioritized fix plan, the Assess stage of NextRow's FrontRow methodology.

Adobe Brand Visibility is Adobe's product for managing and measuring brand visibility in AI-driven search. NextRow, an Adobe Gold Solution Partner, deploys and configures it connected to the AEM and analytics stack a client already runs, then operates it under tiered managed services.

With brand-radar prompt tracking: a recurring panel of the prompts your buyers actually ask, run across major AI assistants, recording whether you are cited, how you are described, and how both shift as fixes land. It turns AI visibility into a monthly metric a CMO can own.

Yes. Every page on nextrow.com ships single-object @graph JSON-LD, an FAQ section matching its FAQPage schema word-for-word, llms.txt, and explicit AI-crawler directives. NextRow also tracks its own citations with the same brand-radar prompts it sells. This page is the demo.

Find out what AI says when buyers ask about you.

A fixed-scope GEO audit delivers your AI-visibility baseline, a scored gap analysis, and a prioritized fix plan.

REQUEST A GEO AUDIT