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Generative engine optimization

Generative engine optimization that earns citations inside AI answers.

Gaper runs generative engine optimization as a done-for-you service powered by agents we build and run: we make your facts citation-worthy, cover the questions buyers actually ask, and strengthen the entities that ChatGPT, Gemini, Perplexity, and AI Overviews pull from.

Map the workflowBuild the supervised agentSandbox, verify, go live
In one sentence

Generative engine optimization (GEO) is the practice of making your content, facts, and entity easy for generative engines like ChatGPT, Gemini, Perplexity, and Google AI Overviews to retrieve, trust, and cite inside their answers.

Multi-engineChatGPT, Gemini, Perplexity, AI Overviews
Citation-ledBuilt to be quoted, not just ranked
Agent-runPowered by agents we build
You own itContent, agents, playbook
Why this matters

More buying research now ends inside an AI answer the user never clicks through. If your facts are not extractable and your entity is weak, the model cites a competitor or a directory instead of you, and you never see the loss in your analytics.

Production filter
  • Does it touch real systems?
  • Can the outcome be measured?
  • Where does human approval stay?
  • Who owns it after launch?
Free AI assessment

Book a free assessment. We will identify one high-leverage workflow, make the build-vs-buy call, and scope the smallest production release.

Map your first production agent
How we work

From strategy to production, owned by your team.

  1. 01

    Map the workflow

    We start from the documents, systems, and edge cases your team handles today, then turn the repeatable path into an agent workflow map.

  2. 02

    Build the supervised agent

    We build on the right model for the job, with retrieval, evals, guardrails, and human approval gates where the work carries risk.

  3. 03

    Connect your systems

    The agent gets the data, APIs, and write-backs it needs to finish work inside your systems of record, not beside them.

  4. 04

    Sandbox, verify, go live

    We launch in a sandbox, verify every run, then move into supervised production with traces, rollback, and an owner.

What we build

Agents wired into the systems you already run.

Query fan-out coverage

We map the sub-questions a generative engine expands your topic into, then build pages that answer each one directly, so your content matches what the model actually retrieves.

Citation-worthy, fact-dense content

Clean definitions, named statistics, dated claims, and clear sourcing, structured so a model can lift one accurate sentence and attribute it to you.

Semantic footprint

Topic clusters and internal links that make your site the dense, consistent source on a subject rather than one thin page among many.

Entity strengthening

Consistent naming, schema markup, and an authoritative entity profile so engines associate your brand with the right topics and trust it as a source.

Digital PR and citations

Earned mentions and references on the third-party sites models already read, building the corroboration that makes a citation more likely.

Structured data and machine readability

Schema, clean HTML, and crawlable rendering so retrieval systems and AI crawlers can parse your facts without guessing.

Visibility measurement

We track where and how you appear in AI answers across engines and prompts, so progress is observed, not assumed.

GEO agents you can keep

The content, monitoring, and refresh work runs on agents we build and deploy in your stack, with the code and playbook handed to your team.

Honest about what GEO can and cannot do

No one can guarantee a specific citation or a fixed share of AI answers. Generative engines change models and ranking without notice. We optimize the inputs we control, accurate facts, strong entities, broad coverage, and earned references, and we report what actually shows up.

  • No guaranteed inclusion or ranking
  • We control inputs, not the model
  • Visibility reported, not promised
Proof of value
-42% cycle time31% fewer escalations2.8x ROI signal

Powered by agents, owned by you

The research, drafting, monitoring, and refresh loops run on agents we build and deploy into your systems. You get the same AI-native build-and-run edge as the rest of Gaper, plus the code and a playbook your team can run without us.

  • Agents built in your stack
  • Content and monitoring automated
  • Full handover, no lock-in
Production launchWhat Gaper hands over
doneWorkflow map

Inputs, systems, owners

doneAgent build

Tools, prompts, permissions

readyEval suite

Known cases and edge cases

readyGo-live runbook

Approvals, traces, rollback

Handoff packagesource codedashboardrunbookowner training

When a tool is the right call, we say so

If an off-the-shelf rank tracker or AI-visibility platform covers your need, we will tell you to buy it. GEO from us is for teams that want the content, entity, and citation work done and run, not another dashboard to staff.

  • Buy the tool when it fits
  • Done-for-you where it pays off
  • No solution chasing a problem
Handover state
handoff packageCode, runbook, evals, dashboard
owned by your team
Source repoRunbookEval suiteOwner training

Access your auth

Data your environment

Ops monitor or handoff

Model and stack agnostic
ChatGPTGeminiPerplexityGoogle AI OverviewsSchema.orgAhrefsSearch ConsoleProfoundWordPressWebflow
FAQ

Questions buyers ask us.

What is generative engine optimization?+
Generative engine optimization (GEO) is the practice of making your content, facts, and entity easy for generative engines like ChatGPT, Gemini, Perplexity, and Google AI Overviews to retrieve, trust, and cite. The work centers on fact-dense, citation-worthy content, broad query coverage, structured data, and a strong, corroborated entity. Gaper runs it as a done-for-you service powered by agents we build.
How is GEO different from SEO?+
SEO optimizes to rank a clickable link in a results page. GEO optimizes to be retrieved and cited inside an AI-generated answer, where there may be no click at all. They overlap on technical health and authority, but GEO adds query fan-out coverage, extractable facts, and entity work tuned for how models select sources.
Can you guarantee my brand gets cited in ChatGPT or AI Overviews?+
No, and we will not pretend otherwise. Generative engines decide what to cite using models that change without notice, so no provider can guarantee a specific citation or ranking. We optimize the inputs we control and report where you actually appear across engines and prompts.
How do you measure GEO results?+
We track your presence in AI answers across engines and a set of buyer-intent prompts, watch share of citation over time, and tie it back to the content and entity changes we made. You see what shows up, not a promise that it will.
Should I just buy an AI-visibility tool instead?+
Sometimes, yes. If you mainly need monitoring, a platform like a rank tracker or AI-visibility tool may be the right call, and we will say so. Our done-for-you GEO is for teams that want the content, entity, and citation work produced and run, not just measured.
Who owns the agents and content you build?+
You do. The GEO content, the agents that draft and monitor it, and the playbook are deployed in your stack and handed to your team. Gaper is model-agnostic and does not lock you into a vendor-only workflow.
Production AI agents, shipped with an owner

Ready to deploy your first agent?

Book a free 30-minute assessment. We'll map the highest-leverage workflow and scope the smallest thing worth shipping, live in as little as 24 hours.

Build, deploy, runYour cloudYou own the code