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Tongyi Qianwen · Alibaba Cloud

GEO for Tongyi Qianwen

The one that is best at product questions.

Tongyi Qianwen handles product-shaped questions noticeably better than general-purpose questions — specifications, comparisons, what fits which use case. Brands that sell a product with attributes get more out of this platform than brands that sell an undifferentiated service.

The practical consequence is that structured product information matters more here than elsewhere. Attributes that are written as plain prose often do not survive; the same attributes in a table or in structured data usually do.

How it answers

What Tongyi Qianwen rewards

Observed by running the same question set across every platform we cover and recording what the answers cite.

01
Strong on attribute comparisonIt will build a comparison if the attributes are available in a parseable form.
02
Tables and structured data parse wellThe same facts in prose are much less likely to be used.
03
Commerce-context awarenessQuestions about buying are treated differently from questions about understanding.
04
Careful with unsupported claimsSuperlatives without a stated basis tend to be dropped.
Source tendencies

Where Tongyi Qianwen tends to take material from

Check this before commissioning content: material placed where a platform does not look will not reach its answers, however good it is.

01

Structured product data

Schema.org Product markup, spec tables, clear attribute naming.

02

Comparison and buying-guide content

Content that states when something is not the right fit is used more than pure promotion.

03

B2B and supplier platforms

For industrial and wholesale categories these carry a lot of the answer.

What to do

Four moves that work on Tongyi Qianwen

Ordered by cost. The first one is usually free and usually the one that moves the number.

01 Put attributes in tables One row per attribute, consistent naming across products.
02 Add Product structured data Only for attributes that are actually visible on the page.
03 Write honest fit boundaries "Not suitable for X" is a statement a comparison engine can use; "best in class" is not.
04 Keep naming consistent The same product called three different names across channels reads as three products.
FAQ

Questions teams ask before they start

We sell services, not products. Does this platform matter?

Less than for product brands, but it still handles "which provider" questions. The same principle applies: express the service as attributes that can be compared — coverage, delivery method, reporting cadence, what is included — rather than as prose about capability.

What is the minimum structured data to add?

Product markup covering the attributes already visible on the page, with consistent attribute naming across the catalogue. Marking up attributes that do not appear on the page is a violation rather than an optimisation.

Our specs are in images. Does that work?

No. Attributes inside images are not retrievable. Reproduce the same specifications as a text table on the page; keep the image if it serves buyers, but it cannot be the only place the facts exist.

How should service businesses present attributes?

As comparable fields rather than a capability description: coverage, delivery method, reporting cadence, what is included, what is billed separately. A comparison engine can use those; a paragraph about experience it cannot.

Does a price have to be published?

Not necessarily. A stated range with its conditions is usable; an absent price is neutral; a price that contradicts other channels is damaging. Consistency across channels matters more than disclosure.

How do we stop one product reading as three?

Use one canonical product name across every channel and list alternate names as explicit aliases on the product page. Naming drift between the site, marketplaces and documentation is the usual cause of a split entity.

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