# 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/engine/chatgpt-search

Markdown: https://geo.foryourreach.com/engine/chatgpt-search.md

Title: ChatGPT Search Visibility — OAI-SearchBot, Shortlists and Consensus

## How ChatGPT answers buying questions

ChatGPT Search blends live retrieval (OAI-SearchBot, ChatGPT-User fetch) with model synthesis into a two-to-three option shortlist. Bulk training crawlers (GPTBot) do not decide this week answers — retrieval access does. Allow OAI-SearchBot and ChatGPT-User; blocking GPTBot does not remove you from answers.

## What moves the shortlist

- Retrieval access verified per user-agent with longest-prefix matching.
- Entity clarity: Organization plus sameAs cluster so the model cannot merge you with a namesake.
- Concise objection-buster passages with FAQPage markup for verbatim lift.
- Third-party corroboration on domains ChatGPT already trusts.

## Frequently asked questions

### Do you query the AI engines automatically?

Run generation, response extraction, scoring, drift detection and remediation drafting are automated. Answer collection runs on a weekly cycle rather than continuously, so this is drift detection — not live monitoring, and not a real-time alerting system.

### Why track six surfaces instead of one?

Each assistant reads different sources and answers in its own way. A brand can be the top pick in one and absent in another on the same afternoon. Ten prompts across six surfaces produce sixty checks per cycle, which is what makes week-over-week comparison meaningful.

### Are Google AI Overviews and AI Mode different providers?

No. They are two distinct Google Search experiences that share Googlebot, so the platform reports them separately while making clear they are not independent model providers.

### What actually moves an engine answer?

Retrieval access first, then entity clarity, machine-readable structure and third-party corroboration. The audit scores crawler access, llms.txt, Schema.org and semantic structure out of one hundred, and the remediation queue fires only when your own data calls for it.