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Generative engine optimization

Generative engine optimization that earns citations inside AI answers.

Gaper runs done-for-you generative engine optimization on agents we build: citation-worthy facts and strong entities for ChatGPT, Gemini, Perplexity and AI Overviews.

Map the workflowBuild the supervised agentSandbox, verify, go live
gaper · geo pipeline
✓Research
✓Draft
✓Schema
✓Publish
●Cited
answer-ready content→cited in AI
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

Research now ends in AI answers. Weak facts get a competitor cited, unseen 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

One workflow, a build-vs-buy call and the smallest production release, scoped in a free assessment.

Map your first production agent
How we work

From strategy to production, owned by your team.

  1. 01

    Map the workflow

    Your documents, systems and edge cases, turned into an agent workflow map.

  2. 02

    Build the supervised agent

    The right model, with retrieval, evals, guardrails and human approval gates.

  3. 03

    Connect your systems

    Data, APIs and write-backs, so work finishes inside your systems of record.

  4. 04

    Sandbox, verify, go live

    Sandbox first, every run verified, then supervised production with rollback and an owner.

What we build

Agents wired into the systems you already run.

Query fan-out coverage

Answer each sub-question an engine expands your topic into.

Citation-worthy, fact-dense content

Dated, sourced facts a model can lift and attribute.

Semantic footprint

Topic clusters and links that make you the source.

Entity strengthening

Naming, schema and an entity profile that engines trust.

Digital PR and citations

Earned mentions on the third-party sites models already read.

Structured data and machine readability

Schema, clean HTML and crawlable rendering for AI retrieval.

Visibility measurement

Your AI answer visibility, tracked across engines and prompts.

GEO agents you can keep

Built in your stack, code and playbook handed over.

Honest about what GEO can and cannot do

Generative engines change models and ranking without notice. We optimize facts, entities, coverage and earned references.

  • No guaranteed inclusion or ranking
  • We control inputs, not the model
  • Visibility reported, not promised
Connected agent workspaceTools wired for real work
Helpdesktickets, conversations
CRMcustomer records
Order systemrefunds, status
Knowledge basepolicies, SOPs
run log

1. Retrieved customer and order history

2. Matched refund policy with citations

3. Requested approval before issuing refund

4. Wrote outcome back to Zendesk

Eval pass 12/12p95 1.2sRollback ready

Powered by agents, owned by you

The same AI-native build-and-run edge as the rest of Gaper, applied to research, drafting and refresh.

  • Agents built in your stack
  • Content and monitoring automated
  • Full handover, no lock-in
Answer engine tracker
citation share, 90 days+38%▲ trending up
W1W2W3W4W5W6
+24tracked prompts61%answer coverage+19%referral traffic

When a tool is the right call, we say so

GEO from us is for teams that want the 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
ChatGPTGeminiGeminiPerplexityGoogle 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