Zhihe GrowthProduct photos show appearance, demonstration videos show operation, and PDFs hold technical specifications. None automatically becomes a reliably cited AI answer source. Platforms handle images, videos, and files differently over time, and screenshots often lack model identifiers, dates, and test conditions. State high-value facts clearly in visible page text, then use media as supporting evidence.
Different media support different kinds of evidence
| Media | Best suited to showing | Required context |
|---|---|---|
| Product image | Appearance, component locations, and version differences | Model, perspective, image-specific configuration |
| Demonstration video | Steps, scenarios, anomalies | Subtitles/text summaries, dates, test conditions |
| Specifications PDF | Specifications, dimensions, and precautions | Document title, version, covered models, and download URL |
| Web Table | Easy to find and compare facts | Units, methods, limitations and sources of evidence |
Image alt should describe content relevant to the current task, not repeat keywords. Google's image SEO guidance recommends useful image context and alt text. Videos need discoverable landing pages and supporting text; see video best practices. Whether an AI platform can read or cite a file must be checked against actual access and answer records. Downloadability alone does not guarantee use.
Version history for PDF evidence
Buyers often compare PDFs with web pages. If the same model has different specifications, explain version or test-condition differences rather than simply saying 'the PDF takes precedence.' List the document name, publication date, revision, language, covered models, and key limits on the web page. Include company or brand identity, page numbers, and a working contact route in the PDF. When replacing files, check old-URL handling, download links, internal citations, and sitemap status together.
A certificate thumbnail may not establish the scope of certification, testing, or regulatory materials. Check the holder, covered models, applicable markets, issue and validity dates, and original-document verification route. Do not publish trade secrets or contract attachments simply because they might help GEO. Explain what buyers should verify and how to obtain it instead. Structured data must reflect visible facts, not undisclosed specifications or certifications.
Application in Zhihe Growth projects
SuperPDR's tool knowledge project can connect product images, tool models, and repair steps to guides and FAQs. ELEREIN's equipment selection project can connect equipment images and specification tables to application limits. Zhihe Growth can organize these public resources and question journeys, but customers must approve asset use, product-performance claims, and measurement conclusions. Public product materials from other Partner Brands may illustrate an industry, but must not be presented as project work produced by Zhihe Growth.
Acceptance method
Sample three media claims: one visible only in an image, one stated in a video, and one in a PDF table. Check whether the web page has accurate text, the original file is accessible, versions agree, and the final URL cited by AI actually supports the claim. If the fact exists only in media, add context rather than merely adding ImageObject or VideoObject markup. Establish platform citation behavior through actual Q&A retests, not by inferring it from successful Schema validation.