Entity Definition and Consistency
Align the organization name, offerings, locations, people, relationships, and category language across sources.
White-label GEO · Influence Choice
GEO improves how clearly a brand is understood across the open web, strengthening authoritative mentions, source-ready content, and entity consistency so generative systems have better evidence to cite.
Capability overview
GEO improves the body of evidence generative systems can use to understand, cite, and potentially recommend a brand. It aligns owned content, entity consistency, authoritative third-party mentions, expert participation, and source-ready information across the open web.
Its primary purchase role is Influence Choice because generative experiences often create the shortlist, summarize differences, and frame the decision before the buyer reaches a website. Conduit does not promise control over any model output; the work improves the clarity and authority of signals those systems may rely on.
Execution stack
A complete operating scope: not a platform login and a monthly export.
Align the organization name, offerings, locations, people, relationships, and category language across sources.
Publish original, specific, well-supported material that can function as evidence rather than generic promotion.
Strengthen relevant coverage, expert mentions, industry references, and community participation beyond the client site.
Address real selection criteria, tradeoffs, use cases, and fit for recommendation-style prompts.
Improve machine-readable clarity through structured data, consistent profiles, and connected entity references.
Track representative prompts, citations, narrative gaps, and competitor visibility while documenting platform limits.
Audience and context
Targeting is useful only when it supports the role the campaign is assigned to perform.
Best, top, recommended, near me, or for a defined use case.
Alternatives, differences, pros and cons, category fit, and shortlist questions.
Prompts that shape how a buyer understands the problem and solution types.
Questions about credibility, expertise, reputation, footprint, or distinctive capabilities.
Prompts where geography or category expertise is essential to recommendation quality.

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Goal Setting · Tracking · Optimization · Reporting. The same baseline that connects every Conduit capability.
Signals we use
The reporting story connects these signals to the assigned purchase job and the client's agreed Key Performance Action.
How the mix compounds
GEO relies on SEO’s technical and authority foundation and AEO’s clear answer structures. Reddit, industry publications, expert communities, video transcripts, and earned references can strengthen the evidence environment around the brand.
Best fit
The right capability starts with the business constraint, audience state, and purchase behavior.
The client competes in a category where buyers ask AI systems to compare or recommend providers.
The brand has expertise but weak third-party authority or inconsistent entity signals.
The agency wants a defensible AI-search offering without promising control over model outputs.
No. Outputs are probabilistic and change by prompt, context, model, and time. GEO improves the authority, clarity, and source evidence available to those systems; it does not control the answer.
AEO focuses on making owned information a clear direct answer. GEO focuses more broadly on the entity and evidence environment generative systems use when synthesizing, citing, or recommending sources.
Document representative prompt sets, observed visibility and citations, entity and authority progress, referral patterns, branded demand, and downstream outcomes while stating platform measurement limits clearly.
Related reading

Channel Deep Dives
How AEO and GEO work, how ChatGPT, AI Overviews, and Perplexity select sources, and how agencies should pitch, run, and measure answer engine visibility.

Channel Deep Dives
Search now spans Google, AI Overviews, ChatGPT, Claude, Gemini, and Perplexity. Here is what GEO and AEO mean, why citations matter in 2026, and how agencies should adapt.