the smartest aeo/geo companies are using perplexity’s search api like a super-weapon they realize you can actually see what is getting ranked and retrieved by LLMs at mass-scale (200m+ daily perplexity queries) vs prompting llms to try to get answers this is real alpha

@natjin built blask on this exact logic. real demand is in what players search at scale. LLM output is the model's belief about the market; retrieval is revealed preference. the two are often completely different lists.

@natjin So your saying most geo tools are perplexity search api wrappers?

@natjin oooo ty for the alpha I will be leveraging this for all future content creation

@natjin yeah thats real alpha, finally seeing llm guts at scale

@natjin How?

@natjin real alpha and definitely not a perplexity api agenda 😦😦😦

@natjin yeah that's real alpha, finally seeing llm guts at scale!!

She’s right. It is a super-weapon. That’s the problem. If you can see what LLMs retrieve and cite at scale, so can the people trying to poison it. A compromised high-citation page doesn’t just mislead one user — it corrupts every downstream answer that references it. Simultaneously. AEO/GEO companies are building maps of the most influential content on the internet. That’s also a targeting list. Every “citation surface” you optimize is an asset an attacker can hijack to inject manipulated data into 200M+ daily queries. The alpha isn’t just yours.

@natjin @grok what’s the latest workflow for building an own geo wrapper

@natjin @grok how do you use perplexity to do this?

@natjin Why would the best AEO/GEO companies focus on Perplexity, which is only the - checks notes - 7th largest LLM-based search and answer engine?

@natjin useful for retrieval intel for sure, but how much of that actually generalizes to claude/chatgpt level outputs?

@natjin using perplexity's search API to see what actually gets retrieved instead of guessing by prompting LLMs is the difference between reading the scoreboard and asking the ref what he thinks the score might be. real data beats prompt testing every time. good signal.

@natjin real alpha, but don't kid yourself, most agents still barely get it. they're just chasing shiny objects while the rest of us grind it out. use the window while you can, it won't last

@natjin Only issue is marketers care about ChatGPT/Google AIO, not what Perplexity returns

@natjin Defintely a great feature to utilize in your system, but given how under represented perplexity is across LLM search engines, this is only one small piece of the puzzle.

@natjin using Perplexity's search API as a structured data extraction tool is clever. it returns clean contextualised results instead of raw HTML which saves hours of parsing

@natjin Do you work for Perplexity? This seems like an undisclosed ad… 😏

@natjin You’re looking at the wrong layer.

@natjin Why is this the first tiMe I’m hearing about this!!?

@natjin wait this is actually genius never thought about using the search api to reverse engineer what's getting surfaced vs just hoping your content shows up

@natjin can you detail how it's being used?

@natjin Awesome! Just loaded this into my AEO/GEO/SEO strategy stack. Thanks!

@natjin interesting.. so they find out which pages are being ranked on llms and they write similar ones with better domain-rating, exactly like google seo?

@natjin Nat you would like this new outcome based marketing tool, Perplexity is in the AI SEO list x.com/startuphubai/s…

@natjin whats the actual process though?

@natjin It’s not the same. A lot of other factors go into it too! Just check out a free demo of seerly and tell me I am wrong.