wanted to check if web crawlers works on Adobe target so SEO and AI can still pickup the experiments content?
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Hi @GauravDu1 It really depends on how your adobe target implementation has been done.
if your adobe target implement client side then SEO or AI tools will not came across the personalized content because the personalized content injected after the complete page load.
in the case of server side implementation - SEO tool can pick up the experiment content.
What's your use case and what exactly you're looking for in the case of SEO?
Just FYI -
There is a help document available which gives more info on A/B testing in the context of SEO:
Also an Google Article - https://developers.google.com/search/docs/crawling-indexing/website-testing
Feel free to post if any points here.
Thanks,
Gokul
I usually don't disagree with @Gokul_Agiwal , as he is tway too smart to disagree with, however, there's always a first
I've seen Target content get indexed by google. The bots can execute javascript and will also see the Target content - even if it executed client-side.
I'm no expert but i don't believe the crawling has changed after Google started with its AI in search results, so i would also expect that Target content could potentially appear in AI results on google.
The typical question is then, can i be penalized by showing different content than default content and for that Gokul shared some relevant links. Short answer is no, as long as you ensure to not run your test for longer than needed (according to google documentation). In reality i've worked with clients that had XT activities servering the winner for a very long time without being penalized.
Haha, thanks @kandersen for jumping in and sharing your perspective — always great to learn from you!
So this is really interesting - and definitely something I would like learn more here
Are we actually seen personalized content from Adobe Target show up in Google search results or in AI-generated snippets
I’m curious how reliable it is — and whether search bots are starting to pick up more client-side variations, even when those experiences are dynamically personalized.
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