⚡ TL;DR
This self-audit checklist covers 5 dimensions and 30 checkpoints for B2B standalone site GEO optimization: Structured Data, Technical Specifications & Certifications, Entity Information & Brand Digital Footprint, Citable Content Quality, and External Sources & Citation Network. Each checkpoint is a concrete action — not theory, but an executable verification standard. Check off each item, and you'll clearly see your standalone site's "trustworthiness score" in the eyes of AI search engines.
1 Structured Data & Schema Markup (6 Items)
1.1 Is Organization Schema correctly marked up with brand name, logo, website, and social media links?
Check your homepage source code for @type:Organization JSON-LD markup, and ensure sameAs includes authoritative platform links such as LinkedIn and Wikipedia.
1.2 Do product pages deploy Product Schema (including brand, SKU, technical parameters)?
AI engines rely on Product Schema to understand your product attributes. Product pages lacking Schema are nearly invisible in AI search.
1.3 Do FAQ pages use FAQPage Schema, and can AI directly extract Q&A pairs?
The most frequently cited content format by AI search engines is FAQ. Ensure each FAQ's Question and Answer text is complete and independently readable.
1.4 Are certifications structured with DefinedTerm or CreativeWork Schema?
Certifications like ISO 9001, CE, RoHS, FDA — if they're just a line of text on an image, AI engines cannot recognize them. They must be structured with JSON-LD.
1.5 Does BreadcrumbList Schema cover all key pages?
Breadcrumb navigation helps AI understand your website's knowledge structure — the logical chain from Home → Category → Product → Certification.
1.6 Are technical documents (PDF spec sheets, white papers) marked up with WebPage/Dataset Schema?
PDF files are important sources for AI crawlers. Add Schema markup for each downloadable document, including file type, language, and update date.
2 Technical Specifications & Certification Data (6 Items)
2.1 Do product pages include complete technical specification tables (not images, not PDFs)?
AI engines cannot "read" parameter images. All technical specifications must be in HTML text, with consistent units (e.g., all in mm rather than mixing cm/inch).
2.2 Are certifications displayed on dedicated pages, including certificate number, issuing body, and validity period?
Don't just mention "we have CE certification" on the About page. Create a dedicated /certifications/ page with one entry per certification.
2.3 Is production capacity data (monthly capacity, MOQ, lead time) publicly accessible on the website?
AI captures this data when answering "Which manufacturer can produce 50,000 units per month?" Transparent capacity information directly improves recommendation probability.
2.4 Do factory photos and production line videos include text descriptions and Alt text?
AI understands image content through Alt text. "Factory workshop photo" is useless — you need "5,000㎡ SMT assembly workshop with 6 Yamaha SMT lines."
2.5 Are return/refund policies and warranty terms publicly available on a dedicated page?
When AI evaluates supplier trustworthiness, public commercial terms are an important signal. Hidden or missing after-sales policies reduce AI recommendation willingness.
2.6 Are product specification sheets available in multiple languages (at minimum English)?
If you only have Chinese spec sheets, when a German buyer asks AI a question, your product — even if perfectly matched — cannot be cited because AI needs source material in the target language.
3 Entity Information & Brand Digital Footprint (6 Items)
3.1 Is the brand name completely consistent across multiple authoritative platforms (no abbreviations/variants)?
AI associates brand information through Named Entity Recognition. If your official site says "Kingseng Lighting" but Alibaba International says "Kingseng LED Co., Ltd," AI may determine them as two different entities.
3.2 Is there a Wikipedia article or Wikidata entry?
Wikipedia/Wikidata are core data sources for AI engines to perform entity resolution. Without one, your brand may be an "unknown entity" in AI's eyes.
3.3 Is the company LinkedIn page complete and consistent with the official website?
LinkedIn Organization pages are an important source for AI to cross-verify corporate information. Employee count, founding year, and industry classification must be accurate.
3.4 Is there a complete and active company profile on B2B platforms (Alibaba International, Global Sources, Made-in-China)?
Even if you primarily run a standalone site, B2B platform profiles remain entity verification sources for AI. Platform verification badges (e.g., Gold Supplier, Verified Supplier) provide additional points.
3.5 Are industry trade show records (booth numbers, exhibition years) available on the site?
Trade show records from CES, Hannover Messe, Canton Fair, etc. are important signals for AI to assess corporate industry activity. Create a dedicated exhibition record page.
3.6 Are patent information or technical achievements publicly available on the site (patent numbers, grant dates)?
Patent information is a key signal for AI to assess corporate technical strength. Create structured entries for each patent including the patent number and authorization link.
4 Citable Content Quality (6 Items)
4.1 Does FAQ content cover the actual query patterns overseas buyers use when asking AI?
Don't write basic questions like "What is LED light?" Write "What is the typical lead time for a 40ft container of LED panel lights from China?" — the way real buyers ask.
4.2 Are there dedicated product comparison pages (comparing advantages/disadvantages of different models or materials)?
When AI answers "Which is better, aluminum or stainless steel for outdoor lighting?" it prioritizes citing pages with structured comparison content.
4.3 Are there industry knowledge long-form articles (not marketing copy)?
Content like "LED Driver Selection Guide for Industrial Applications" — this type of content is cited by AI as a domain knowledge source.
4.4 Do product descriptions include application scenarios (not just parameter dumps)?
Not just "Power: 100W, Voltage: 220V," but "Ideal for warehouse lighting with ceiling height 6-8m" — enabling AI to match your product in scenario-based queries.
4.5 Are there procurement guide-type pages (Procurement Guide / Buyer's Guide)?
This is one of the most frequently cited content types by AI. Write procurement decision guides from an industry expert's perspective, not product promotion from a seller's perspective.
4.6 Do all key pages have a clear last updated date?
AI evaluates content freshness. Pages without dates or with outdated dates see significantly reduced citation weight.
5 External Sources & Citation Network (6 Items)
5.1 Have industry media or authoritative websites cited your brand/products?
AI judges your authority by analyzing citations from other websites. Industry media mentions carry far more weight than ordinary backlinks.
5.2 Has your brand been discussed on communities like Reddit/Quora?
AI search engines heavily cite Reddit and Quora. Build a professional industry presence on these platforms, participate in discussions, and contribute valuable content.
5.3 Are there in-depth articles on Medium/industry blogs that point to your site?
Medium is frequently cited by Perplexity. Publish technical articles about your product domain on Medium and link back to your official site.
5.4 Have academic papers or industry research reports cited your products/data?
Academic citations carry extremely high weight. If your products have been used in research or testing, ensure the related paper information is traceable.
5.5 Is your company listed in industry directories or trade association websites?
Industry directories (such as ThomasNet, Kompass) and association websites are authoritative sources for AI to verify corporate entity existence.
5.6 Are there review or factory tour videos on YouTube/video platforms?
Multimodal content from video platforms is increasingly being included in AI search engines' citation scope. Factory tour and product review videos are high-value citation sources in B2B scenarios.
Check Each Item, Find Your GEO Blind Spots
After completing the 30-point self-audit, you'll see your standalone site's true competitiveness in AI search. Need a deeper GEO audit and optimization plan?
View GEO Implementation Roadmap →Last updated: 2026-07-01 · This checklist is continuously updated as AI search engine algorithms evolve.