GEO Competitive Benchmark β AI Search Readiness vs Competitors
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$10.00 / 1,000 site auditeds
GEO Competitive Benchmark β AI Search Readiness vs Competitors
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 β AI-crawler access, schema, extractability, speed, trust β as a ranked scoreboard + per-signal gap list. Deterministic GEO/AEO.
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$10.00 / 1,000 site auditeds
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Berkan Kaplan
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GEO Benchmark β AI Search Visibility π
π Benchmark a brandβs visibility in AI answers β no login, no API key, one row per query/brand, with mention rate, citations and competitor share. Built for SEO/GEO, marketing and brand teams.
π What is the GEO Benchmark β and when should you use it?
Give this actor brands, domains or prompts and it returns matching brands from live AI-assistant answers (generative-engine visibility) β as clean, deduplicated rows you can filter, export or feed to an AI agent. Every run queries the source live, so the data is as fresh as the registry itself.
Use it when you need: how often a brand appears in AI answers; competitor share of voice; or a GEO visibility benchmark.
Use something else when: you need classic SEO rankings β this measures AI-answer visibility, not search-engine positions.
π€ Use with AI agents
Already on the Apify MCP server? Ask for this Actor by name: foxlabs/geo-benchmark.
Your agent can pay for its own runs. This Actor is pay-per-event with agentic payments, so an agent can discover it, run it and settle the bill over x402 (USDC on Base) or Skyfire β no Apify account or API token of its own. Billing is the same either way: per delivered record, never for errors.
Otherwise paste this into Claude, ChatGPT, Cursor or any MCP-enabled assistant:
I want to pull brand company records using the Apify Actor `foxlabs/geo-benchmark`.Input: `queries` is a list of brands, domains or prompts. `maxResultsPerQuery` caps rows per query.Start with: {"queries":["undefined"],"maxResultsPerQuery":50}Ask me what to look up, run the Actor, then summarise the rows as a table.
The machine-readable API, MCP config and OpenAPI definition live at apify.com/foxlabs/geo-benchmark.md.
π Overview
Everything you need to turn live AI-assistant answers (generative-engine visibility) into clean, structured data β in one actor, with no login, cookies or API key.
Why teams pick this actor:
- β Whole analysis, one call β name or ID in, matching brands out.
- π§Ή No empty-promise columns β only fields this registry actually fills; degenerate columns are removed.
- π Stable identifiers β every row carries the source's own IDs, ready to join across runs and to other Fox Labs actors.
- π° Pay only for results β per-row pricing, empty/failed lookups never billed.
- π€ Agent-ready β MCP + x402 agentic payments.
β¨ Features
- π Name or ID lookup β relevance-ranked name search or exact registry-ID lookup.
- π’ Full entity profile β status, legal form, formation date, address and the registryβs own contact fields.
- π§Ή Clean schema β deduplicated camelCase rows, ready for CSV/Excel/JSON.
π¬ Quick Start
curl -X POST "https://api.apify.com/v2/acts/foxlabs~geo-benchmark/runs?token=YOUR_TOKEN" \-H "Content-Type: application/json" \-d '{"queries":["undefined"],"maxResultsPerQuery":50}'
π Getting Started (3 steps)
- Choose your targets β brands, domains or prompts.
- Set the cap β
maxResultsPerQuerylimits rows per query. - Run and export β get a clean dataset as JSON, CSV or Excel.
π₯ Input
{"queries":["undefined"],"maxResultsPerQuery":50}
| Field | Type | Description |
|---|---|---|
queries | array | Brands, domains or prompts. |
maxResultsPerQuery | integer | Caps rows per query. |
maxConcurrency | integer | How many queries to fetch at once. |
includeRaw | boolean | Attach the sourceβs untouched record under raw. |
π€ Output
One row per company, saved to the dataset. Every row also carries query, scrapedAt, and β when a lookup fails β an error explaining why (never silently dropped, never billed).
| Field | Description |
|---|---|
type | Type |
domain | Domain |
isYou | Is You |
rank | Rank |
overallGeoScore | Overall Geo Score |
band | Band |
pagesAudited | Pages Audited |
accessScore | Access Score |
structuredScore | Structured Score |
extractabilityScore | Extractability Score |
speedScore | Speed Score |
trustScore | Trust Score |
aiAccessText | Ai Access Text |
blockedAiBotsText | Blocked Ai Bots Text |
schemaTypesText | Schema Types Text |
jsRenderedPages | Js Rendered Pages |
hasLlmsTxt | Has Llms Txt |
yourDomain | Your Domain |
yourRank | Your Rank |
totalSites | Total Sites |
yourScore | Your Score |
leaderDomain | Leader Domain |
leaderScore | Leader Score |
scoreGapToLeader | Score Gap To Leader |
scoreboardText | Scoreboard Text |
dimensionGapsText | Dimension Gaps Text |
botGapsText | Bot Gaps Text |
schemaGapsText | Schema Gaps Text |
winsText | Wins Text |
prioritizedMovesText | Prioritized Moves Text |
generatedAtIso | Generated At Iso |
πΌ Use cases
1. GEO benchmarking β measure a brandβs AI-answer visibility. Input: brands or prompts. Output: mention rate + citations. Use: a GEO scorecard.
2. Competitor share β compare share of voice vs rivals. Input: brand + competitors. Output: share of voice. Use: a positioning view.
3. Content gaps β find prompts where a brand is absent. Input: prompts. Output: presence per prompt. Use: a content plan.
π Integration
JavaScript / Node.js
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: 'YOUR_TOKEN' });const run = await client.actor('foxlabs/geo-benchmark').call({"queries":["undefined"],"maxResultsPerQuery":50});const { items } = await client.dataset(run.defaultDatasetId).listItems();console.log(items[0]);
Python
from apify_client import ApifyClientclient = ApifyClient('YOUR_TOKEN')run = client.actor('foxlabs/geo-benchmark').call(run_input={"queries":["undefined"],"maxResultsPerQuery":50})for item in client.dataset(run['defaultDatasetId']).iterate_items():print(item)
Automation (n8n / Zapier / Make): schedule or webhook β HTTP request to the actor API with your queries β handle the JSON dataset β push to a sheet, CRM or dashboard.
π Pricing
Pay-per-event: per delivered record. Empty or failed lookups are never billed. View current pricing.
β FAQ
Do I need an account, login or API key? No. This reads live AI-assistant answers (generative-engine visibility).
What do I search by? Brands, domains or prompts.
How current is the data? Every run queries the source live, so results are as fresh as the registry.
What does it measure? Brand mention rate, citations and competitor share of voice across AI-assistant answers.
Can I export to CSV / Excel / JSON? Yes β directly from the Apify dataset.
π Troubleshooting
- Fewer rows than expected β raise
maxResultsPerQuery, or refine the name. - A name returns an unexpected entity β it matched a similar registered name; search the exact registry ID.
- No rows for a name β try the entityβs exact legal name or its registry ID.
βοΈ Is it legal to scrape this data?
This actor queries public AI assistants and analyses their answers for brand visibility. Results can still contain personal data (e.g. a personβs name); personal data is protected by the GDPR and similar laws, so only process it with a legitimate basis. See Apifyβs blog post on the legality of web scraping.
π€ Support & contact
- π Website: data.foxlabs.com.tr
- π§ Email: info@foxlabs.com.tr
- π Issues: open a ticket in the Actorβs Issues tab
- π§° More clean B2B data actors: Fox Labs on Apify
Changelog
0.1 β 2026-09-07
- Enabled AI-agent payments (x402) + rebuilt the README to the full standard (What-is / when, AI-agents + x402 agentic payments + MCP, Overview, Features, Use cases, Integration, FAQ, Troubleshooting, Support & contact).
0.0
- Initial release: data from live AI-assistant answers (generative-engine visibility) by name or registry ID.
