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.

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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 (deep single-site audit) and AI Brand Monitor (are you mentioned in AI answers). Monitor = diagnosis off-site · Auditor = diagnosis on-site · Benchmark = where you stand vs rivals.

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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.

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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

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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.

{
  "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):

$npx @apify/actors-mcp-server --tools foxlabs/geo-benchmark

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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).

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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 @types (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.

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Built by foXLabs.