We help businesses achieve top rankings in AI search results through LLM optimization services
LLM search results
Joined May 2022
- Tweets1.5K
- Following81
- Followers433
- Likes1.4K
Algomizer | LLM Optimization retweeted
How does ChatGPT (and other LLMs) see your site?
Get visibility into the 'mind of agents' when they decide whether your brand is cited, recommended or skipped
if ChatGPT can't read your site, it just recommends someone it can, and you may never even find out it happened!
so we built a free tool that loads your page the way GPTBot and other LLMs do
and show you everything it trips over, from a file that blocks them, to pages that stay empty until a specific script runs
Paste a URL into the Agent Readiness tool for free and get a visualization of what those systems actually retrieve
algomizer.com/tools/agent-re…
Algomizer | LLM Optimization retweeted
Use Grok for shopping and it will literally save you money and time.
It is insane in shopping and finding the best deals.
Shopping is arguably the hardest task for an LLM
for a prompt like "find me the best deal on XYZ", the AI needs to:
1) choose what to search
2) judge which sites to settle the question through
3) check the prices that move daily
4) know when there's enough to answer
no single page holds the answer, so the model has to build one out of many sites!
and Grok just proved how capable it is in saving you money
After pulling the retrieval logs behind many shopping questions to see how it actually builds a purchase answer.
For one deal question it had:
- Run 41 separate searches and page-opens
- Read 18 full pages instead of skimming the previews
- Checked a year of price history to see whether today's price was actually low
- Looked at resale, refurbished, and the forums where people post discount codes within hours of finding them
- Guessed four prices it expected the headphones to be selling at, then searched for those exact numbers to confirm somebody was really charging them
- Pulled Amazon's live prices off the page as they were at that second
Then it threw almost all of it away.
142 URLs retrieved, yet only were 5 cited in the end.
No special instructions. No plugins. No shopping API.
If you change the wording, it'll change who it trusts.
Ask which is best and it goes to the labs that test them.
Ask where to buy and it goes to the shops.
Ask for a deal and it goes to the price trackers.
It knows which kind of source can settle which kind of question, the way an experienced buyer does.
Grok 4.5 opens twice as many pages as Grok 4, finds sellers the older model never reaches, and still names fewer sources, because it reads more so it can throw more away.
The new standard for AI search is here.
Today, we’re introducing a new way to win in AI search.
If we don't make you more visible, don’t pay us.
No $5k/mo dashboards to stare at.
No recommendations for your team to implement.
We execute everything.
And we put our money where our mouth is:
a) Pay when an agreed visibility score is reached
b) Pay a percentage of the incremental business we generate
We take the risk. You get the upside.
One partner per market.
Spots now open!
Algomizer | LLM Optimization retweeted
Honestly, all services should have pricing models like this.
Today, we’re introducing a new way to win in AI search.
If we don't make you more visible, don’t pay us.
No $5k/mo dashboards to stare at.
No recommendations for your team to implement.
We execute everything.
And we put our money where our mouth is:
a) Pay when an agreed visibility score is reached
b) Pay a percentage of the incremental business we generate
We take the risk. You get the upside.
One partner per market.
Spots now open!
Algomizer | LLM Optimization retweeted
Andrej Karpathy joined Anthropic five weeks ago
He spent 8 years at OpenAI & Tesla
Few days ago, at Stanford he taught everything he knows about LLMs into one free 2-hour lecture
People pay $15k for bootcamps that teach half of this
You probably don't have 2 hours right now
Don't let this get lost in your feed
Watch it, then read the post below to win in AI
Today, we’re introducing a new way to win in AI search.
If we don't make you more visible, don’t pay us.
No $5k/mo dashboards to stare at.
No recommendations for your team to implement.
We execute everything.
And we put our money where our mouth is:
a) Pay when an agreed visibility score is reached
b) Pay a percentage of the incremental business we generate
We take the risk. You get the upside.
One partner per market.
Spots now open!
Algomizer | LLM Optimization retweeted
Google CEO Sundar Pichai:
"If you don't learn how to work with AI now, you'll spend 2027 trying to catch up with people who started today."
In 30 minutes, he explains why the best engineers are moving from writing code to managing AI workflows.
One agent researches.
One writes.
One tests.
One reviews.
One fixes.
I think the most interesting part is that this idea is already expanding into completely different areas.
AI search is a good example.
Projects like Algomizer aren't trying to give companies more data.
They're trying to remove more of the work.
The human becomes the operator, not the bottleneck.
Bookmark this and watch the interview.
Today, we’re introducing a new way to win in AI search.
If we don't make you more visible, don’t pay us.
No $5k/mo dashboards to stare at.
No recommendations for your team to implement.
We execute everything.
And we put our money where our mouth is:
a) Pay when an agreed visibility score is reached
b) Pay a percentage of the incremental business we generate
We take the risk. You get the upside.
One partner per market.
Spots now open!
Algomizer | LLM Optimization retweeted
Demis Hassabis:
"Today, one person who knows AI will outperform an entire startup team."
In 1 hour he shows what that one person looks like, and exactly how to become one.
A small team can now drive outcomes that used to take an entire department.
Watch it, then meet the team already doing it below
🤝 Paid partnership
Today, we’re introducing a new way to win in AI search.
If we don't make you more visible, don’t pay us.
No $5k/mo dashboards to stare at.
No recommendations for your team to implement.
We execute everything.
And we put our money where our mouth is:
a) Pay when an agreed visibility score is reached
b) Pay a percentage of the incremental business we generate
We take the risk. You get the upside.
One partner per market.
Spots now open!
Algomizer | LLM Optimization retweeted
If you sell or build anything online, you have to read this:
🤝 Paid partnership
Today, we’re introducing a new way to win in AI search.
If we don't make you more visible, don’t pay us.
No $5k/mo dashboards to stare at.
No recommendations for your team to implement.
We execute everything.
And we put our money where our mouth is:
a) Pay when an agreed visibility score is reached
b) Pay a percentage of the incremental business we generate
We take the risk. You get the upside.
One partner per market.
Spots now open!
Algomizer | LLM Optimization retweeted
The traditional agency model is done. Not dying, done.
> for a hundred years agencies got paid for doing the work
> hours, headcount, a report at the end of the month
> nobody could tell you what any of it changed
> then AI made the work cheap
> and a different kind of provider showed up
> no monthly fee, nothing paid upfront
> they get paid only if it works
> @algomizercom is one of them, doing it for AI search
put yourself in the client's seat. who signs a retainer after seeing this?
🤝 Paid partnership
Today, we’re introducing a new way to win in AI search.
If we don't make you more visible, don’t pay us.
No $5k/mo dashboards to stare at.
No recommendations for your team to implement.
We execute everything.
And we put our money where our mouth is:
a) Pay when an agreed visibility score is reached
b) Pay a percentage of the incremental business we generate
We take the risk. You get the upside.
One partner per market.
Spots now open!
Algomizer | LLM Optimization retweeted
those who spent 10 years on a marketing degree seeing this
Today, we’re introducing a new way to win in AI search.
If we don't make you more visible, don’t pay us.
No $5k/mo dashboards to stare at.
No recommendations for your team to implement.
We execute everything.
And we put our money where our mouth is:
a) Pay when an agreed visibility score is reached
b) Pay a percentage of the incremental business we generate
We take the risk. You get the upside.
One partner per market.
Spots now open!
Algomizer | LLM Optimization retweeted
🚨do you understand what Algomizer just launched.
an AI-search agency that only gets paid if it actually works.
here's the part nobody is talking about:
> most tools sell you a $5k/mo dashboard that measures your AI visibility, then hand your team a to-do list
> Algomizer does the work for you. they execute all of it.
> you pay only on results: when an agreed visibility score gets hit, or a percentage of the new business they bring in
> one partner per market, so your competitor can't buy the same edge
AI search is eating regular search fast. being the brand the model recommends is the whole game now.
this is a bet that they get you there, or they don't get paid.
applications are open.
Today, we’re introducing a new way to win in AI search.
If we don't make you more visible, don’t pay us.
No $5k/mo dashboards to stare at.
No recommendations for your team to implement.
We execute everything.
And we put our money where our mouth is:
a) Pay when an agreed visibility score is reached
b) Pay a percentage of the incremental business we generate
We take the risk. You get the upside.
One partner per market.
Spots now open!
Algomizer | LLM Optimization retweeted
AI search tools measure visibility. Algomizer fixes it.
I've been watching the AI SEO niche fill up with dashboards. Visibility scores, ranking trackers, prompt-share charts. All measurement, no motion. They show what's broken. None of them fix it.
- Algomizer gets brands into top AI search answers. Done-for-you optimization that does the work itself.
- Pay for results, not monitoring: a specific visibility metric, or a percentage of revenue growth. No retainer.
- Every contract includes market exclusivity. One brand per market.
- If visibility doesn't move, Algomizer doesn't get paid. Dashboard tools still bill monthly.
ChatGPT and Perplexity replaced Google for discovery. Algomizer replaced SEO agencies for getting found.
Today, we’re introducing a new way to win in AI search.
If we don't make you more visible, don’t pay us.
No $5k/mo dashboards to stare at.
No recommendations for your team to implement.
We execute everything.
And we put our money where our mouth is:
a) Pay when an agreed visibility score is reached
b) Pay a percentage of the incremental business we generate
We take the risk. You get the upside.
One partner per market.
Spots now open!
Algomizer | LLM Optimization retweeted
Anthropic CEO to DeepMind CEO:
"Every decision I make about Claude feels balanced on the edge of a knife
Build too slow - China wins. Build too fast - we lose control"
"We told Claude we were evil. It didn't crash. It didn't refuse. It started lying to protect itself "
DeepMind CEO: "Do I worry about being Oppenheimer? That's why I don't sleep much"
"AGI by 2026-2027 - Agents that act in the world on their own - Models doing AI research by end of this year"
this is a 14-min conversation that everyone needs to hear by AI bosses on what keeps them up at night
bookmark - watch today ↓
Today, we’re introducing a new way to win in AI search.
If we don't make you more visible, don’t pay us.
No $5k/mo dashboards to stare at.
No recommendations for your team to implement.
We execute everything.
And we put our money where our mouth is:
a) Pay when an agreed visibility score is reached
b) Pay a percentage of the incremental business we generate
We take the risk. You get the upside.
One partner per market.
Spots now open!
Algomizer | LLM Optimization retweeted
Today, we’re introducing a new way to win in AI search.
If we don't make you more visible, don’t pay us.
No $5k/mo dashboards to stare at.
No recommendations for your team to implement.
We execute everything.
And we put our money where our mouth is:
a) Pay when an agreed visibility score is reached
b) Pay a percentage of the incremental business we generate
We take the risk. You get the upside.
One partner per market.
Spots now open!
Most B2B buyers now build their vendor shortlist with AI.
92% say an AI answer shaped who made their list, and 84% use it on purchases above $1,000.
This is what takes to show up when a buyer asks an AI assistant about your product
i. Build a page for every use case you serve.
Buyers prompt with a specific problem, and the page that names that problem is the one the model matches.
ii. Rewrite your description until a machine can repeat it.
Ask ChatGPT and Gemini what your company does. A vague answer means your own pages read that way, so rewrite them until the reply matches.
iii. Put numbers in your case studies.
Models quote claims they can attribute to a source, a line like "cut onboarding time from 14 days to 6" carries into the answer while general efficiency language gets left behind.
iv. Publish real pricing.
When your pricing page says "book a demo to find out," the model pulls numbers from review sites and old listings instead, and that estimate is what the buyer sees before talking to you.
v. Write the comparison content yourself.
Host the comparison and you set the criteria the model repeats.
vi. Audit the verification chain.
Buyers who see your name go check it, on your site, in search, and in your review profiles. That step decides whether the mention converts.
Only 7% of buyers notice a vendor because they recognize the name. What you publish decides the other 93%, which is why unknown companies can win these mentions.
Want the full playbook? Comment "AI" and I'll send over our booklet on how B2B vendors rank #1 in AI search results.
Data from @semrush's survey of 600+ B2B professionals.
Most B2B buyers now build their vendor shortlist with AI.
92% say an AI answer shaped who made their list, and 84% use it on purchases above $1,000.
This is what takes to show up when a buyer asks an AI assistant about your product
i. Build a page for every use case you serve.
Buyers prompt with a specific problem, and the page that names that problem is the one the model matches.
ii. Rewrite your description until a machine can repeat it.
Ask ChatGPT and Gemini what your company does. A vague answer means your own pages read that way, so rewrite them until the reply matches.
iii. Put numbers in your case studies.
Models quote claims they can attribute to a source, a line like "cut onboarding time from 14 days to 6" carries into the answer while general efficiency language gets left behind.
iv. Publish real pricing.
When your pricing page says "book a demo to find out," the model pulls numbers from review sites and old listings instead, and that estimate is what the buyer sees before talking to you.
v. Write the comparison content yourself.
Host the comparison and you set the criteria the model repeats.
vi. Audit the verification chain.
Buyers who see your name go check it, on your site, in search, and in your review profiles. That step decides whether the mention converts.
Only 7% of buyers notice a vendor because they recognize the name. What you publish decides the other 93%, which is why unknown companies can win these mentions.
Want the full playbook? Comment "AI" and I'll send over our booklet on how B2B vendors rank #1 in AI search results.
Data from Semrush's survey of 600+ B2B professionals.
Google turned AI Mode into a paid surface in under a year.
SE Ranking tested 50,032 commercial keywords across 20 niches. Ads appeared on a third of them.
Most ad slots in AI Mode come in twos. 71.1% of the time, a second advertiser is in the answer with you.
You pay for the slot. Your competitor pays for the one beside it. Google collects on both.
The more a keyword is worth, the more likely this is.. Keywords under $2 showed ads 24.33% of the time. Keywords above $10 showed them 53.56% of the time.
Then there is the question of whether anyone reads them. Search users learned to skip ads a long time ago. In AI Mode the ad sits at the edge of the response.
The citations are the sources the answer is built from. Users read the answer.
SE Ranking checked whether advertisers made it into those citations.
They appeared as a cited source in the same response 11.53% of the time.
So they are paying for a spot on terms they never earned anything on. The spot lasts as long as the money does.
An organically cited position is different. Nobody shares it with you. It does not disappear when the budget pauses. And it sits inside the text the user is actually reading.
Paid is easy to approve and easy to measure. That is why teams start there. It also puts you in a slot your competitor can buy tomorrow, at a price Google sets.
these are proofs, so mathematicians can check every step themselves. that makes math the one field where an AI claim gets verified by outsiders instead of taken on trust. a lab claiming a drug discovery breakthrough takes years to confirm. this takes weeks.
the carry trade is borrowing yen at near-zero and buying US assets that pay more. it blows up when the yen jumps fast, because you owe back more yen than you borrowed. buying yen slowly is how you prevent that jump. August 2024 was the uncontrolled version: yen moved 12% in three weeks, Nikkei fell 12% in a day.