We are in the fleeting era where AI models are not entirely corrupted by marketing and propaganda. Like the early web circa 1990s. It will never be this pure while also being this up-to-date ever again. Enjoy it while it lasts
How Generative Engine Optimization (GEO) rewrites the rules of search
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Re: How Generative Engine Optimization (GEO) rewrites the rules of search
#12We are in the fleeting era where AI models are not entirely corrupted by marketing and propaganda. Like the early web circa 1990s. It will never be this pure while also being this up-to-date ever again. Enjoy it while it lasts
you're literally commenting on a press release by the greediest vc firm. would you care to elaborate your point?
Re: How Generative Engine Optimization (GEO) rewrites the rules of search
#13ChatGPT ≠ Google-scale.Google: ~14 B searches/day; ChatGPT: ~37 M (~1 : 400). Only ~15 % of ChatGPT prompts look like classic “search”; most are writing/code tasks. Google’s own search volume grew 22 % in 2024 and still holds >90 % share. An LLM citation is nice for credibility, but it won’t move traffic or revenue anytime soon.
splitting these are not a good measure. people who know how to search (a skill the latter generations seem to have lost) also searched for the lowest common denominator coding recipes and produced naive code just like people do with current llm models. only sellers of the llm models make the distinction. it's all search.
Re: How Generative Engine Optimization (GEO) rewrites the rules of search
#14I launched a product in this space to beta customers just last week -- https://ellm.co -- and the response has been way more positive than I could have hoped for. Every SMB owner I talk to is thinking about this and looking for ways to be ahead of the curve on it even though the number of commercial AI search queries is still dwarfed by Google. It feels like a race, and we are figuring out the rules as we run it.
Re: How Generative Engine Optimization (GEO) rewrites the rules of search
#15I can't imagine how the feedback loop between LLMs optimizing content so it will be picked by LLMs based search engines will end. But it won't be good.
Not too different from how SEO ends. Just spammy content written by bots.
Re: How Generative Engine Optimization (GEO) rewrites the rules of search
#16ChatGPT ≠ Google-scale.Google: ~14 B searches/day; ChatGPT: ~37 M (~1 : 400). Only ~15 % of ChatGPT prompts look like classic “search”; most are writing/code tasks. Google’s own search volume grew 22 % in 2024 and still holds >90 % share. An LLM citation is nice for credibility, but it won’t move traffic or revenue anytime soon.
To add on top of this, how many Google searches also contain Gemini answers in the search results? I've been seeing more and more, especially for code and general factoid searches.
Turtles all the way down.
It is definitely interesting to see how much public opinion has been shifting on Google in AI as of late. I wonder what the main force for that is…
Re: How Generative Engine Optimization (GEO) rewrites the rules of search
#17I came across this recently on Fiverr [0]. I thought it was a joke initially, but the volume of people offering their services implies that there is demand out there somewhere. [0] https://www.fiverr.com/categories/online-marketing/generativ...
Absolute review count suggests otherwise.
It might be that there are more shovel sellers than gold to mine.
Re: How Generative Engine Optimization (GEO) rewrites the rules of search
#18ChatGPT ≠ Google-scale.Google: ~14 B searches/day; ChatGPT: ~37 M (~1 : 400). Only ~15 % of ChatGPT prompts look like classic “search”; most are writing/code tasks. Google’s own search volume grew 22 % in 2024 and still holds >90 % share. An LLM citation is nice for credibility, but it won’t move traffic or revenue anytime soon.
1. (Anecdotal) I'm barely using Google anymore. I'm using ChatGPT for a ton of queries and getting far better results.
2. Antitrust actions might (should) strip Google of their "panes of glass" with which they force Google Search as the default. Most Google Search queries are simply the result of defaults. Once those defaults are gone, those queries will go elsewhere.
Re: How Generative Engine Optimization (GEO) rewrites the rules of search
#19ChatGPT ≠ Google-scale.Google: ~14 B searches/day; ChatGPT: ~37 M (~1 : 400). Only ~15 % of ChatGPT prompts look like classic “search”; most are writing/code tasks. Google’s own search volume grew 22 % in 2024 and still holds >90 % share. An LLM citation is nice for credibility, but it won’t move traffic or revenue anytime soon.
The 37M/day is an estimate from Rand Fishkin that often gets quoted as gospel. It is based on limited external data. OpenAI mentioned 1B/day - and had significant overall growth in usage since then.
Also, 1 search on ChatGPT easily replaces 5-10 searches on Google.
Many B2B SaaS companies already get the same amount of leads from ChatGPT that they get from Google. Because clicks from ChatGPT are better informed and have a significantly higher conversion rate. I am talking up to +700% CVR vs traffic from Google for some companies.
Re: How Generative Engine Optimization (GEO) rewrites the rules of search
#20I launched a product in this space to beta customers just last week -- https://ellm.co -- and the response has been way more positive than I could have hoped for. Every SMB owner I talk to is thinking about this and looking for ways to be ahead of the curve on it even though the number of commercial AI search queries is still dwarfed by Google. It feels like a race, and we are figuring out the rules as we run it.
How is ellm different from the more established tools in the market (Profound and Peec AI)?