GEO for Doubao
The one that listens to what users say about you.
Doubao is the assistant most people reach for casually, which means it gets a very high share of everyday commercial questions — which shop, which service, which product. It is also the platform most willing to name specific brands rather than hedge.
Willingness to name names cuts both ways. It creates more chances to be mentioned, and it also means a specific negative review gets repeated just as readily. On Doubao, tracking the context of a mention matters more than counting mentions.
What Doubao rewards
Observed by running the same question set across every platform we cover and recording what the answers cite.
Where Doubao 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.
Review and discussion content
Specific, detailed accounts beat volume — ten "很好用" are worth less than one account of what happened.
Short-video and feed platforms
Titles, descriptions and captions are text, and text is what gets retrieved.
Local and service directories
For "which shop nearby" questions, directory data carries a lot of the answer.
Four moves that work on Doubao
Ordered by cost. The first one is usually free and usually the one that moves the number.
Questions teams ask before they start
Doubao mentions us but the tone is poor. What now?
Find the source. Doubao is repeating something specific it read, so there is usually an identifiable review, thread or article behind it. Trying to suppress it rarely works; adding more specific, verifiable material on the same topic usually does.
Why does Doubao differ so much from ERNIE for us?
That gap is diagnostic. Strong on Doubao and weak on ERNIE usually means social-platform content is in place but authoritative media and encyclopedia coverage is thin. The reverse means official material is complete but there is no user voice.
How many reviews are enough?
Count is the wrong unit. What gets used is a review that describes what specifically happened: the situation, what was done, the outcome. Ten generic positive lines contribute less than one account with detail in it.
A competitor appears to be buying reviews. What should we do?
Do not match the behaviour. Bought review clusters are identifiable and, once identified, the loss falls on the brand attached to them. The effective response is volume of genuine detail on the same topics, which also survives a platform clean-up.
Do we need to publish video to matter here?
No. What is retrieved is text: titles, descriptions and captions. Where video already exists, publishing a written version with the conclusion stated in full adds the retrievable surface that the video itself does not provide.
How do we handle a negative mention that keeps recurring?
Locate the source first; the model is restating a specific item. Publishing a specific, factual reply on the same topic gives the model material to balance it. Attempting to suppress the original generally does not change what is retrieved.
Should we report Doubao separately from the rest?
Yes, as with every platform. Doubao is more willing to name a specific brand, so its mention rate is often higher than the other five while its context distribution is more polarised. Averaging it in obscures both facts.
Compare it with the others
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