A.J. Ghergich (alias @seo on X) has published a very insightful article on Adweek on how to adapt your content for SGE.
In it he suggests to optimize for overall findability instead of going after the same old vanity metrics as if nothing has changed in a zero-click era.
It's highly recommended reading: https://www.adweek.com/performance-marketing/content-strategy-google-search-generative-experience/
I've written something similar albeit less holistic a while back and even shared it here but people were merely shaking their heads virtually.
What do you think? Is it time to face the new reality?
Or will you just keep on tracking
traffic
rankings
CTR
as in the good old days?
See also my other post and the ensuing forum debate: https://chat.seofomo.co/forum/seo-ai/when-web-sites-and-traffic-go-extinct-due-to-ai-what-to-measure-then
Tadeusz,
Thanks for sharing this.
For SEOs, we definitely need to be ahead of the curve and learn how to optimize for SGE. For fun, I've written about it as well by reverse engineering the SGE snapshot.
I'm genuinely curious about who's currently utilizing SGE. Is it all just SEOs? Are SEOs testing optimization for SGE visibility among ourselves? 😄
Until we get some real metrics from the Googles & ChatGPTs, I fear we may just be spinning our wheels with the AI tools. We have a limited idea as to how the general public is using them. What types of queries/prompts they are using to get answers.
I've been through a few of the prompt engineering courses and I'm not sure the general public at this time will go through that much effort (prompt engineering) to get answers. They've been trained for the past 20 years to "Google It." Going from typing a few words to a paragraph or more to get an answer may be a lot to ask at this time.
I don't know. It's a fun and challenging time right now with search and AI.