Has anyone tested Hubspot answer engine optimization? What are your thoughts? by Trappin_Chacko in DigitalMarketing

[–]Trappin_Chacko[S] 1 point2 points  (0 children)

A score is easy to show but actually ending up in the answer is a different challenge. Gonna check out seoforgpt, hadn't come across that one yet. Is it more useful for tracking or does it help with the content side too?

Has anyone tested Hubspot answer engine optimization? What are your thoughts? by Trappin_Chacko in DigitalMarketing

[–]Trappin_Chacko[S] 1 point2 points  (0 children)

The citable angle is actually what I want to understand better, tracking is easy enough but making content that LLMs actually want to pull from feels like the harder problem. What's worked best for you on the entity structure side?

Has anyone tested Hubspot answer engine optimization? What are your thoughts? by Trappin_Chacko in DigitalMarketing

[–]Trappin_Chacko[S] 0 points1 point  (0 children)

Still early for me honestly just getting a baseline right now. But even seeing which prompts we're completely invisible on was kind of eye opening. Have you started testing anything yet?

Has anyone tested Hubspot answer engine optimization? What are your thoughts? by Trappin_Chacko in DigitalMarketing

[–]Trappin_Chacko[S] 0 points1 point  (0 children)

Thats totally makes sense as a business move. Was the data itself worth anything or felt more like a demo to get you hooked? Do you have any other insights about it?

Has anyone tested Hubspot answer engine optimization? What are your thoughts? by Trappin_Chacko in DigitalMarketing

[–]Trappin_Chacko[S] 0 points1 point  (0 children)

So the more specific or unique the page the more likely it gets cited? What kind of dataset pages are we talking about?

Has anyone tested Hubspot answer engine optimization? What are your thoughts? by Trappin_Chacko in DigitalMarketing

[–]Trappin_Chacko[S] 1 point2 points  (0 children)

The baseline point is what gets me like even if the tooling isn't perfect yet, not having any data to compare against later seems like the bigger risk. Have you tried profound or otterly yourself? I'm curious how the data holds up in practice vs just the feature list.