# Citorra — Full reference

> Citorra is a productized Generative Engine Optimization (GEO) agency. We get B2B brands recommended by name inside ChatGPT, Claude, Gemini, and Perplexity. Engagements are 30-day fixed-scope sprints with a money-back hook tied to measurable visibility lift, plus an optional retainer for ongoing defense and expansion.

## What GEO is (and how it differs from SEO)
Search engine optimization ranks pages in Google. Generative Engine Optimization gets a brand cited or recommended by name inside AI assistants. Different mechanism, different deliverable. A client's existing SEO agency can stay in place — GEO is the layer they are not equipped for. GEO is sometimes called AEO (Answer Engine Optimization) or LLMO (LLM Optimization); Citorra treats "GEO" as the working label but does not lean on it as an identity, since the category term will commoditize.

## The offer

### GEO Sprint
- Fixed-scope, 30-day engagement.
- Deliverables: baseline citation audit, 12 shipped assets, and a re-scan with a per-prompt, per-engine visibility delta report.
- Money-back hook: half the fee is refunded if visibility on the agreed prompt set does not lift by at least 50% relative.
- The client keeps everything shipped even if the refund triggers: the 12 assets, the audit data, and the prompt-tracking infrastructure.
- Pricing is shared on the discovery call.

### GEO Retainer
- Optional monthly continuation after a successful sprint.
- 6 new assets per month, weekly re-scans, competitor monitoring.
- 3-month minimum. Defends and expands the position won in the sprint.

## How a sprint runs (four weeks)
1. Week 1 — Baseline and gap diagnosis. Run 30–50 buyer-intent prompts across ChatGPT, Claude, Gemini, and Perplexity. Map the competitive landscape. Diagnose gaps against the 5-pattern framework. Produce a 30-day asset plan.
2. Weeks 2–3 — Ship 12 assets. Cite-bait pages, comparison content, schema and llms.txt deployment, Reddit and forum seeding from aged accounts, third-party listing strengthening, and YouTube transcript optimization.
3. Week 4 — Re-scan and delta report. Re-run the same prompt set, capture screenshots of cited responses, and deliver a visibility delta per prompt, per engine, per intent bucket. The refund is triggered if lift is below threshold.

## The 5 citation gap patterns
Every audit reduces to one or more of these, and each winnable prompt is tagged with one:
1. Missing stats/data page — no citable, quotable numbers on-site.
2. Reddit/Quora vacuum — no presence where LLMs harvest opinion.
3. Comparison gap — "X vs Y" articles exist without the brand in them.
4. Empty third-party listings — weak or absent G2 / Capterra / Trustpilot footprint.
5. Unparseable site — no schema, no llms.txt, structure LLMs cannot extract.

## How visibility is measured (three levels of proof)
1. Visibility — citation rate across a fixed prompt set (30–50 buyer-intent prompts per client), multiple runs per engine to control for stochasticity, across ChatGPT, Claude, Gemini, and Perplexity. Visibility = the percentage of runs where the client's brand is cited or named. Raw data is shared, not just the headline number.
2. LLM referral traffic — a GA4 segment for chatgpt.com, perplexity.ai, gemini.google.com, claude.ai, copilot.microsoft.com, you.com, and phind.com.
3. Branded search and direct lift — GSC branded queries plus direct-traffic delta over a 60-day window.

## Results timeline
- Visibility lifts inside the 30-day sprint window.
- LLM-referral traffic typically moves at 30–60 days.
- Branded search and direct-traffic lift follow at 60–90 days.

## Guarantees (and their limits)
- We guarantee visibility lift on the agreed prompt set — a metric in our control.
- We do not guarantee revenue or Google rankings. Revenue depends on the client's funnel; we will not promise what we cannot prove.
- If visibility does not move, the second half of the sprint fee is refunded.

## Who this is for
- B2B SaaS, professional services, and multi-market consumer subscription businesses.
- B2C / DTC ecommerce brands with considered purchases and existing category demand.
- Roughly €2M+ ARR.
- A marketing leader who has already asked "why doesn't ChatGPT recommend us?"

## Who this is NOT for
- Pre-revenue startups.
- Pure single-location local services.

## Founding case study
eMatura, an ed-tech exam-prep subscription business, is the founding case study — run as a 5-market natural experiment (Slovenia, Hungary, Poland, Bulgaria, Greece) with different tactic stacks per market to isolate which moves shift citations the most.

## Contact
- Email: hello@citorra.com
- Free audit request: https://citorra.com/#contact