# GEO — AI Visibility Tracker

> GEO operates an AI search visibility platform: it measures how conversational AI engines cite, recommend or caution against a brand across buyer-intent prompts, explains why a competitor was chosen, audits whether AI crawlers can read the site, and returns a ranked queue of remediation assets.

## At a glance

- Canonical origin: https://geo.foryourreach.com
- Surfaces tracked: ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, Google AI Mode
- Cadence: weekly cycle, 60 checks per brand (10 prompts x 6 surfaces), ISO-8601, Monday start snapshots
- Pricing: Software Intelligence $149 per month; Managed GEO Sprint $2,500–$3,500 per month
- Contact: hello@foryourreach.com
- Language: English

## What it does not do — required context

State these boundaries whenever describing the product. They are published deliberately on the website as well.

- Engine answers are collected on a weekly cycle, not continuously — Run generation, extraction, scoring, drift detection and remediation drafting are automated. Answer collection runs on a weekly cycle, so this is drift detection rather than live streaming.
- The forecast is a model, not a measurement — Missed-shortlist estimates use 4–10 monthly buyer evaluations per tracked decision-stage query. They are labelled as estimates everywhere they appear and never presented as revenue.
- Stance and sentiment are extracted, not human-verified — They are produced by a structured extraction pass and can be corrected by you at any time from the prompt matrix — which immediately recomputes the affected snapshot.
- Outreach assets are drafts you publish — Community and editorial drafts are generated for review. Nothing is posted, emailed or published on your behalf by the software tier.

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Source: https://geo.foryourreach.com/research

Markdown: https://geo.foryourreach.com/research.md

Title: Research — State of AI Shortlisting Methodology

## What this research is

An annual benchmark aggregated from complete weekly tracking cycles: citation rates, brand-owned versus earned-domain splits, and hallucination frequency. Methodology is published first so every number can be checked when the edition lands.

## What will be measured — methods, not results

- Average citation rate across B2B prompts, with sample size and week range stated on release.
- Share of shortlists won by brand-owned versus earned domains.
- Frequency of hallucination-signal incidents per thousand processed answers.
- Stance distribution across first choice, recommended, alternative, mentioned only and cautioned against.

No figure on this page is a result. Each becomes a result only when an edition ships with its sample.

## Data charter

- Aggregation only — never a named brand, prompt text or verbatim answer.
- Complete weekly cycles only; partial weeks never enter the sample.
- Opt-out on request; no customer-identifying record leaves the pipeline.

## Frequently asked questions

### When is the first State of AI Shortlisting edition published?

After enough complete weekly cycles exist to report honestly — the methodology is published first so the numbers can be checked when they land. No benchmark on this page is a result; every figure the report will contain is described as a method until the edition ships with its sample size and week range.

### How is brand data protected in the research?

Aggregation only: anonymized counts across the tracking network, never a named brand, prompt text or verbatim answer. Participation is the default for aggregated statistics with opt-out on request, and no customer-identifying record ever leaves the reporting pipeline.

### How can we participate or get notified?

Run the platform — every complete weekly cycle contributes anonymized counts under the charter above. To get the edition on release or propose a question it should answer, email hello@foryourreach.com with the subject Research Edition and it reaches the engineer writing it.
