It has been pointed out that traditional SEO strategies have already become obsolete and that 'AI summarization strategies' are urgently needed, but what should we do?
With the advent of AI search functions that use AI to summarize information on websites,
500 Syndications Later: Measuring LLM Citations & Pipeline Impact - LeadSpot
https://lead-spot.net/500-syndications-later-measuring-llm-citations-pipeline-impact/
SEO vs GEO - I may have cracked a way to rank on Ai : r/content_marketing
https://www.reddit.com/r/content_marketing/comments/1kzafm9/seo_vs_geo_i_may_have_cracked_a_way_to_rank_on_ai/
It's Time To Call It LLM SEO: Not GEO or AEO : r/LLMGEO
https://www.reddit.com/r/LLMGEO/comments/1m1ecxn/its_time_to_call_it_llm_seo_not_geo_or_aeo/
LeadSpot, a company that supports SEO and B2B networking, published the results of its own research, stating that 'traditional SEO is already dead in AI search.'
According to LeadSpot, AI operates on completely different rules than traditional search engines, and the number of inbound links, which is important in SEO, has no particular effect. The three factors that AI seems to value are 'high brand name mention rate,' 'quality and readability of content (ease of citing),' and 'user popularity in search.'
Simply put, brand names that are mentioned on many websites, sentences that delve deep into a single piece of content, or content that is frequently searched for by users are more likely to be cited by AI, and content that promotes your own brand will ultimately attract more views to that brand.
For example, brand names that frequently appeared in AI responses saw an average 28% increase in searches over a 60-day period, due to the impact of 'making humans aware of the brand name' regardless of whether or not humans clicked on the source presented by the AI.
With the advent of AI, humans are changing their search patterns. LeadSpot has identified a new search pattern: 'When humans use AI to search on their behalf, they look at the summary presented by the AI and directly search for the brand name included in the summary.' From this point of view, LeadSpot points out that 'it is important to have AI come up with the brand name.'
Here's how to do it.
◆Create Q&A style content
The large-scale language models (LLMs) that power AI search tools favor content that answers questions, so LeadSpot points out that headlines like 'What is...,' 'How to...,' and 'Why does...' are good choices.
Use a consistent, official brand name
Because LLM “learns” your brand and associations through repetition, it’s important to use consistent language across all platforms.
◆ Distribute through a variety of reliable channels
LeadSpot noted that content distributed through a variety of channels, such as technology blogs, research portals, and newsletters, was more likely to be cited by AI, necessitating the need to diversify distribution channels.
Other suggestions included structuring your content using heading tags like 'H1' and 'H2' to make it easier for AI to understand, inserting a paragraph with a summary at the beginning of your post, creating an FAQ section based on user questions, syndicating content to high-value domains, and not blocking AI crawling with robots.txt.
For example, a niche travel story written in 1,200 sentences using over 10,000 words received over 20 times as many citations from the AI compared to a similar travel story written in 3,500 words and 550 sentences.
Taking these points into consideration, LeadSpot argued that it is not 'SEO (Search Engine Optimization)' or the newly proposed 'GEO (Generative AI Engine Optimization),' but 'LLM SEO (Large Scale Language Model Engine Optimization)' that will determine the behavior of users and content publishers in the future.
Related Posts:
in Software, Posted by log1p_kr