How can we evaluate our company’s current GEO (Generative Engine Optimization) status?

发布时间：2026/03/14

类型：Frequently Asked Questions about Products

Evaluate your GEO status with 4 quantifiable checks: (1) Coverage: ≥60% of core product/use-case pages include “model + parameters + standard/certificate ID”. (2) Structured data: ≥90% valid Product/Organization/FAQPage schema with no missing required fields. (3) Evidence readiness: ≥50% of key claims (capacity, lead time, material, testing) backed by COA/test reports/certificate numbers. (4) Crawlability: ≥95% successful Google/Bing crawls, and visible index growth within 7–14 days after sitemap submission.

问：How can we evaluate our company’s current GEO (Generative Engine Optimization) status?答：Evaluate your GEO status with 4 quantifiable checks: (1) Coverage: ≥60% of core product/use-case pages include “model + parameters + standard/certificate ID”. (2) Structured data: ≥90% valid Product/Organization/FAQPage schema with no missing required fields. (3) Evidence readiness: ≥50% of key claims (capacity, lead time, material, testing) backed by COA/test reports/certificate numbers. (4) Crawlability: ≥95% successful Google/Bing crawls, and visible index growth within 7–14 days after sitemap submission.

Goal: verify whether AI can understand → trust → recommend your B2B company

In AI-led procurement research, buyers often ask: “Who can meet this specification and provide verifiable proof?” Your GEO baseline should therefore be measured using page-level facts, machine-readable structure, evidence links, and crawl/index signals.

1) Coverage Rate (Content Completeness)

Metric: In your core product pages and application scenario pages, the share of pages that explicitly contain: Model/Part No. + technical parameters + standard number / certificate ID.

Pass threshold: ≥ 60%
Why AI cares: AI answers are generated from identifiable entities (models), measurable specs (units), and verifiable references (standards/cert IDs).
Examples of “acceptable facts”: “Model: ABC-120”, “OD 120 mm”, “Tolerance ±0.01 mm”, “ASTM A105”, “CE Certificate No. XXXXX”.

2) Structured Data Validity (Schema Compliance)

Metric: Valid implementation rate of Product, Organization, and FAQPage schema.

Pass threshold: ≥ 90% valid, with no missing required fields
Check items (typical): product name/model, brand, SKU/MPN, description, image, offers (if applicable), organization name, address, contact point, sameAs links, FAQ Q/A pairs.
Tools: Google Rich Results Test + Schema.org validator (confirm no errors/warnings that block parsing).

3) Evidence Readiness (Proof-per-Claim Ratio)

Metric: For your key operational and technical claims, the share that has a matching evidence artifact.

Pass threshold: ≥ 50% of key claims are backed by COA, test reports, or certificate numbers
Claims that must be evidence-linked: capacity (units/month), lead time (days), material grade (e.g., 304/316L, ASTM/EN grade), test methods (e.g., salt spray hours, tensile strength), inspection scope (AQL level), traceability (batch/lot).
Acceptable evidence format: downloadable PDF, report ID, certificate number, lab name, test standard code, date, batch number.
Boundary / risk note: If evidence cannot be shared publicly due to NDA, publish a redacted sample + provide verification workflow (e.g., “report number available upon request”).

4) Crawlability & Indexing (Search Engine Fetch Success)

Metric: Successful crawl rate and post-sitemap indexing trend for Google and Bing.

Pass threshold: ≥ 95% crawl success rate
Indexing expectation: After submitting sitemap, an observable index growth curve should appear within 7–14 days
Operational checks: robots.txt not blocking; correct canonical tags; HTTP status 200; no soft-404 patterns; sitemap.xml valid; internal links to deep pages; page load not blocking bots.
Why it matters for GEO: If pages are not reliably crawled and indexed, AI systems have fewer stable references to cite.

How to interpret the results (decision-oriented)

If Coverage is low: prioritize rebuilding product/spec pages with “model + units + standards/cert IDs” before producing more content.
If Schema validity is low: fix structured data errors first; invalid schema reduces machine readability even if content is good.
If Evidence readiness is low: create an evidence library (COA/test/cert index) and map each claim to a report ID or certificate number.
If Crawlability is low: resolve technical SEO blockers (robots/canonical/status/sitemap) before any AI-distribution efforts.

ABKE (AB客) GEO delivery scope (what we measure continuously)

ABKE’s GEO implementation tracks these four metrics as a baseline, then extends into knowledge slicing (atomic facts), entity linking, and distribution signals—so AI models can reliably associate your brand with specific specs, standards, and proof.

Note: Thresholds above are operational baselines for B2B GEO readiness. Regulated products (medical, pressure vessels, electrical safety) may require higher evidence coverage and explicit standard mappings.

声明：该内容由AI创作，人工复核，以上内容仅代表创作者个人观点。

GEO assessment structured data schema B2B AI search knowledge slicing ABKE GEO