If you’re not following @darth_na Lyndon NA, you’re missing out on fantastic deep-dives on various and sundry conversational areas in SEO. This morning I was fascinated by his take on our the “generative” search results, because Google, Bing and even Twitter have their own SGE type experiences integrated, and there is no sign that these tools will be less prevalent in the future.

Advice for Optimizing for Generative (SGE)

That would make it Candidate selection, and likely on par with FS selection, and for those that do NLP, summary component selection. You might want to look up ordinate/subordinate and check the presence of verbs/adverbs.

We’re almost into 2024. We’ve only had “Search Intent” be mainstream for 2-3 years? We’ve only had “SERP Features” being tracked a little longer! A % of people still say “LSI Keywords” instead of topical/thematically/semantically related Entities, Taxonomies, term maps…

None of it is new. Much of it has been pushed for a decade. But it takes the sector so damned long! For the SGE – it’s not the Generative bit people need to consider, it’s the candidate selection process, and there’s 20+ years of research on it!!!

There’s literally dozens of papers regarding things like Question and Answer association/alignment, (as well as generating the Q for the A, or the A for the Q). There’s even more for summarisation, esp. older papers looking at highlighting key sentences/strings.

Darth NA (Lyndon)

What About Optimizing “Entities” found in SGE Results?

I asked Lyndon what about optimizing entity discoverability an document optimization for LLM assisted tools deployed for platforms with Promethean type connections to search indices? (Aka optimizing brand query results in Bard, Grok and Bing by doing offsite citation/text sentiment analysis?

If you are dealing with an Entity (as in, a proper, Named one, not generic nouns etc.), then yes – but that should be standard. And I think that’s the frustrating part here. A lot of what is being pushed – should be “the norm” to a fair degree.
There’s literally dozens of papers regarding things like Question and Answer association/alignment, (as well as generating the Q for the A, or the A for the Q). There’s even more for summarisation, esp. older papers looking at highlighting key sentences/strings

Darth NA (Lyndon)

LLM Based Scientific Papers To Read To Understand & Optimize

You can do some operator searchers, on sites like Stanford, Princeton, MIT, Carnegie etc.

site:http://princeton.edu NLP ext:pdf "question and answer"
site:http://princeton.edu
 NLP ext:pdf "question and answer"
Categories: SEOSEObits

Jeremy Rivera

Jeremy Rivera started in SEO in 2007, working at Advanced Access a hosting company for Realtors. He came up from the support department, where people kept asking "How do I rank in Google" and found in the process of answering that question an entire career. He became SEO product manager of Homes.com, went "in-house" at Raven Tools in Nashville in 2013. He then worked at several agencies like Caddis, 2 The Top Design as an SEO manager and then launched a 5 year freelance SEO career. During that time he consulted for large enterprise sites like Smile Direct Club, Dr. Axe, HCA, Logan's Roadhouse and Captain D's while also helping literally hundreds of small business owners get found in search results. He has authored blog posts at Authority Labs, Raven Tools, Wix, Search Engine Land. He has been a speaker at many SEO conferences like Craft Content and been interviewed in numerous SEO focused podcasts.