# GEO Competitive Benchmark — AI Search Readiness vs Competitors (`foxlabs/geo-benchmark`) Actor
Benchmark your site vs up to 5 competitors for AI-search readiness in one run. See where rivals out-rank you for ChatGPT, Perplexity, Gemini & Claude citation — AI-crawler access, schema, extractability, speed, trust — as a ranked scoreboard + per-signal gap list. Deterministic GEO/AEO.
- **URL**: https://apify.com/foxlabs/geo-benchmark.md
- **Developed by:** [Berkan Kaplan](https://apify.com/foxlabs) (community)
- **Categories:** AI, SEO tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
$10.00 / 1,000 site auditeds
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## GEO Competitive Benchmark — AI Search Readiness vs Competitors
**Where do you rank against your competitors for AI-search citation — and exactly which signals are they winning on?**
AI answer engines (ChatGPT, Perplexity, Gemini, Claude) read a handful of pages, pull the most extractable facts, and cite a few sources. Your competitors are in those answers or you are. This Actor audits **your site and up to 5 competitors in one run**, ranks everyone on AI-search readiness **0–100**, and hands you a **per-signal gap list**: which AI crawlers rivals allow that you block, which schema types they ship that you don't, and where they out-score you on extractability, speed and trust.
100% deterministic — raw-HTML crawl exactly as an AI crawler sees it, **no LLM guesswork, no per-run AI cost**.
---
### Why this benchmark is different
Other GEO audit tools score **one site at a time** — you're left to eyeball competitors by running them separately and comparing by hand. This Actor does the comparison *for* you, in a single run, and turns it into a ranked scoreboard plus a concrete gap-closing playbook.
| | Single-site GEO audits | **GEO Competitive Benchmark** |
|---|---|---|
| Scope | One domain per run | **Your site + up to 5 competitors, one run** |
| Competitor view | "Run it again on each rival" (manual) | **Auto side-by-side ranked scoreboard** |
| Output | A score + a fix list | **Per-signal gaps** ("rival ships FAQPage schema, you don't"; "you block PerplexityBot, 3 rivals allow it") |
| Cost model | — | Deterministic, no LLM/proxy cost |
> Pairs with **[GEO Auditor](https://apify.com/foxlabs/geo-auditor)** (deep single-site audit) and **[AI Brand Monitor](https://apify.com/foxlabs/ai-brand-monitor)** (are you *mentioned* in AI answers). Monitor = diagnosis off-site · Auditor = diagnosis on-site · **Benchmark = where you stand vs rivals.**
---
### What it scores (5 weighted dimensions, per site)
1. **AI-crawler access — 25%** — does `robots.txt` let the 8 crawlers that power AI answers in (`OAI-SearchBot`, `PerplexityBot`, `ChatGPT-User`, `Claude-SearchBot`, `Googlebot`, `Bingbot`…)? Blocking them makes you invisible there. (Training crawlers like `GPTBot`/`CCBot` are reported, not penalized — blocking those is a valid privacy choice.)
2. **Structured data — 20%** — JSON-LD presence & useful schema types (Organization, Article, Product, FAQPage, BreadcrumbList…).
3. **Content extractability — 30%** *(highest weight)* — heading structure, content depth, text-to-HTML ratio, lists/tables, and a **JavaScript-render check** (JS-only content is invisible to AI crawlers).
4. **Speed — 15%** — fast, light pages are far more likely to be cited.
5. **Trust & freshness — 10%** — published/modified dates, author/Organization schema, canonical tags.
---
### Output
**Scoreboard (one row per site):** rank, GEO score 0–100 + band, the five dimension scores, AI-crawler access, blocked AI bots, and the schema types each site ships. Your site is flagged.
**Benchmark record:** your rank and the gap to the leader, plus the actionable deltas —
- **Dimension gaps** — e.g. `structured data: you 10 vs rival 85 (−75)`
- **AI-bot gaps** — crawlers a rival allows but you block
- **Schema gaps** — JSON-LD types rivals ship that you don't
- **Your wins** — where you already lead
- **Prioritized moves** — impact-ordered steps to climb the ranking
---
### Quick start
1. Enter **your site**.
2. Add **1–5 competitor** sites.
3. Set **max pages per site** (keep low for a fast, cheap benchmark).
4. Run it. No API keys, no proxy, no setup.
```json
{
"yourSite": "https://www.yourbrand.com",
"competitors": ["https://competitor-a.com", "https://competitor-b.com"],
"maxPagesPerSite": 5
}
````
### Use it as an MCP tool (inside any AI agent)
**Hosted:** `https://mcp.apify.com?tools=foxlabs/geo-benchmark`
**Self-hosted (Claude Desktop, Cursor, Cline):**
```bash
npx @apify/actors-mcp-server --tools foxlabs/geo-benchmark
```
***
### Who it's for
- **SEO / GEO agencies** — show a client exactly where rivals beat them in AI search, with a prioritized roadmap (recurring deliverable).
- **In-house marketing / SEO teams** — track your AI-readiness rank against named competitors over time.
- **Founders** — a 2-minute reality check on whether AI search sees you or your competitor.
> **Note on scope:** this is a technical/structural benchmark (crawlability, structure, schema, speed). It does not render JavaScript — by design, because most AI crawlers don't either. It measures *readiness to be cited*, not live citation counts (for that, pair it with AI Brand Monitor).
***
### Changelog
#### 0.1.3 — 2026-06-04
- Added the suite banner to the README.
#### 0.1.2 — 2026-06-04
- Structured-data detection now catches nested JSON-LD `@type`s (e.g. `SearchAction` inside `potentialAction`), for more complete schema gap analysis.
#### 0.1.1 — 2026-06-04
- Initial release: benchmark your site vs up to 5 competitors on AI-search readiness — ranked scoreboard + per-signal gaps (AI-crawler access, schema, extractability, speed, trust). Deterministic, no external per-run cost.
***
*Built by foXLabs.*
# Actor input Schema
## `yourSite` (type: `string`):
The website you want to benchmark (e.g. "https://www.yourbrand.com"). It is ranked against the competitors below on AI-search readiness.
## `competitors` (type: `array`):
1–5 competitor websites to benchmark against your site. Each is audited the same way and ranked side-by-side.
## `maxPagesPerSite` (type: `integer`):
How many internal pages to crawl & score per site (starting from each site's URL). Keep low for a fast, cheap benchmark; raise for a fuller picture.
## `proxyConfiguration` (type: `object`):
Leave OFF for fast, free audits — most sites work directly (we already auto-retry the www↔non-www variant). Turn on Apify Proxy with the RESIDENTIAL group ONLY if some sites are behind Cloudflare/WAF bot-protection that blocks direct requests (slower, uses proxy traffic).
## Actor input object example
```json
{
"yourSite": "https://www.notion.so",
"competitors": [
"https://coda.io",
"https://www.clickup.com"
],
"maxPagesPerSite": 5,
"proxyConfiguration": {
"useApifyProxy": false
}
}
```
# Actor output Schema
## `dataset` (type: `string`):
No description
## `benchmark` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"yourSite": "https://www.notion.so",
"competitors": [
"https://coda.io",
"https://www.clickup.com"
],
"maxPagesPerSite": 5,
"proxyConfiguration": {
"useApifyProxy": false
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("foxlabs/geo-benchmark").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"yourSite": "https://www.notion.so",
"competitors": [
"https://coda.io",
"https://www.clickup.com",
],
"maxPagesPerSite": 5,
"proxyConfiguration": { "useApifyProxy": False },
}
# Run the Actor and wait for it to finish
run = client.actor("foxlabs/geo-benchmark").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"yourSite": "https://www.notion.so",
"competitors": [
"https://coda.io",
"https://www.clickup.com"
],
"maxPagesPerSite": 5,
"proxyConfiguration": {
"useApifyProxy": false
}
}' |
apify call foxlabs/geo-benchmark --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=foxlabs/geo-benchmark",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "GEO Competitive Benchmark — AI Search Readiness vs Competitors",
"description": "Benchmark your site vs up to 5 competitors for AI-search readiness in one run. See where rivals out-rank you for ChatGPT, Perplexity, Gemini & Claude citation — AI-crawler access, schema, extractability, speed, trust — as a ranked scoreboard + per-signal gap list. Deterministic GEO/AEO.",
"version": "0.1",
"x-build-id": "LU7ltbFybVlRt0v7E"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/foxlabs~geo-benchmark/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-foxlabs-geo-benchmark",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/foxlabs~geo-benchmark/runs": {
"post": {
"operationId": "runs-sync-foxlabs-geo-benchmark",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/foxlabs~geo-benchmark/run-sync": {
"post": {
"operationId": "run-sync-foxlabs-geo-benchmark",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"yourSite": {
"title": "Your site",
"type": "string",
"description": "The website you want to benchmark (e.g. \"https://www.yourbrand.com\"). It is ranked against the competitors below on AI-search readiness."
},
"competitors": {
"title": "Competitor sites",
"type": "array",
"description": "1–5 competitor websites to benchmark against your site. Each is audited the same way and ranked side-by-side.",
"items": {
"type": "string"
}
},
"maxPagesPerSite": {
"title": "Max pages per site",
"minimum": 1,
"maximum": 20,
"type": "integer",
"description": "How many internal pages to crawl & score per site (starting from each site's URL). Keep low for a fast, cheap benchmark; raise for a fuller picture."
},
"proxyConfiguration": {
"title": "Proxy (optional)",
"type": "object",
"description": "Leave OFF for fast, free audits — most sites work directly (we already auto-retry the www↔non-www variant). Turn on Apify Proxy with the RESIDENTIAL group ONLY if some sites are behind Cloudflare/WAF bot-protection that blocks direct requests (slower, uses proxy traffic).",
"default": {
"useApifyProxy": false
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```