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GEO

Content that LLMs cite. Customers that trust the source.

Generative Engine Optimization. Content engineered to get cited by ChatGPT, Claude, Perplexity, and Gemini. Powered by the DSCRI-ARGDW 10-gate framework.

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What we deliver

01.

DSCRI-ARGDW pipeline implementation

Our proprietary 10-gate framework for AI citation. Five infrastructure gates (Discovery, Structure, Content, Reputation, Infrastructure) plus five advanced gates (Authority, Recency, Granularity, Differentiation, Weighted Citability).

02.

Source-graph and entity-graph engineering

We restructure your content so the three graphs LLMs read (document, entity, concept) all point to your brand as the answer. Most content optimizes only the document graph and wonders why citation is uneven.

03.

Differentiated-source content

Original data, expert quotes, primary research. Per Siege Media, content with unique data lifts traffic value 83 percent; per Authoritas, AI models cite research and news 30 percent of the time. We engineer for that.

04.

LLM citation monitoring

We track which pages get cited by which models for which prompts, then iterate. Citation share, not page rank, is the metric.

The methodology under the hood: DSCRI-ARGDW

Most agencies that offer GEO offer prompt-stuffing and FAQ schema. We offer a documented 10-gate pipeline.

The first five gates are infrastructure-level and derived from Jason Barnard’s published research on how LLMs crawl, render, and index. These are non-negotiable; if you fail one, your page is not eligible for citation regardless of content quality.

  1. Discovery — Can the model find the page?
  2. Structure — Can it parse the page?
  3. Content — Is the answer present and clearly extractable?
  4. Reputation — Are the brand and author known to the model?
  5. Infrastructure — Are the technical signals clean (schema, canonicals, sitemap)?

The next five are competitive and engineered at the content layer. We call these the ARGDW gates.

  1. Authority — Does the page satisfy E-E-A-T for the topic?
  2. Recency — Is the content fresh and dated?
  3. Granularity — Does the answer go deep enough to be the definitive source?
  4. Differentiation — Is there something in the page (data, expertise, framing) that other pages do not have?
  5. Weighted Citability — Does the page combine the prior nine gates well enough to outrank competitors on citation share?

Internally we call this Assistive Agent Optimization, or AAO. Publicly we deliver it as GEO because that is the term buyers search for.

What you get

A baseline DSCRI-ARGDW score for every priority page. A roadmap addressing the gates with the most leverage. A monthly citation tracker showing share of voice across ChatGPT, Claude, Perplexity, and Gemini for the prompts your buyers actually run. And the content production cycle (in partnership with our Editorial Production service) to ship the improvements.

Who this is for

Marketing leaders in regulated categories where AI citation now drives material pipeline. Companies whose content has historic SEO authority but is being out-cited by newer, smaller competitors. Teams that have committed to AI search as a 2026 channel and need a defensible measurement framework.

Tools and platforms

Claude APIChatGPTPerplexityGeminiAhrefs Brand RadarCustom DSCRI scoring pipelineProfoundOtterly

Frequently asked

What does GEO actually stand for?

Generative Engine Optimization. Coined by Princeton researchers in 2023, popularized by Search Engine Land and Siege Media in 2024. Closely related to AEO (Answer Engine Optimization) and our proprietary AAO (Assistive Agent Optimization) framework.

Why is GEO different from SEO?

SEO optimizes for a search engine that returns links. GEO optimizes for an answer engine that returns synthesized answers and selectively cites sources. The mechanics are different; what we measure is different; the bar for content quality is higher.

What is the DSCRI-ARGDW framework?

A 10-gate pipeline modeling how LLMs decide whether to cite a page. The first five gates are infrastructure-level (Discovery, Structure, Content, Reputation, Infrastructure) per Jason Barnard's published research. The next five (Authority, Recency, Granularity, Differentiation, Weighted Citability) are the competitive gates we engineer at the content layer.

How fast do we see results?

Most clients see first measurable citations within 8 to 12 weeks. Sustained citation share in a regulated category typically takes 6 to 9 months.