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LLM SEO · ChatGPT, Claude, Google AI Overviews · US and EU

LLM Optimization agency that brings you leads

Buyers ask ChatGPT, Claude and Google AI Overviews who to hire and which software to buy. We get your brand into those answers and measure how often it is named, before and after. The leads follow.

Book a 20-minute call → Watch client stories
Brands we work with
DataForSEOLeobitFortes VisionStripoDataImpulseStackBob
01 · Services

What we do

LLM SEO services, LLM optimization services, generative engine optimization (GEO), answer engine optimization (AEO), AI search optimization: different names for the same job, being named in AI answers. Ours cover three things.

01

AI competitive analysis

  • What the models already know about you, prompt by prompt.
  • How actively your competitors scale their brand across the web, and where.
  • The low-hanging fruit: the questions you can win first.
  • A technical check: crawler access for GPTBot, OAI-SearchBot and ClaudeBot, structured data, pages that confirm your claims, profiles that agree with your site.
A short report and a call. About the audit.
02

Consensus scaling

  • Listicles that name you next to your real competitors, published on sites LLM crawlers visit.
  • Several independent lists agreeing on you. That is what turns a mention into a recommendation.
  • Published in stages over 10 working days, tracked daily, reported before and after.
How consensus scaling works. Details for software development companies and B2B SaaS.
03

Fan-out content optimization

  • Your landing pages and case studies adapted to the queries the models actually run before they answer (query fan-out).
  • One positioning across what you want to be known for, your site, and the sources the models read: the same entity description everywhere, so the models stop guessing.
  • Plain facts the models can quote: who it is for, since when, where, named clients, pricing tier.
Scoped after the competitive analysis.
02 · Client stories

Clients on camera

Anastasiia Bezpalova, Head of Inbound Marketing at Leobit, on camera▶Leobit · Anastasiia Bezpalova, Head of Inbound Marketing · YouTube

Leobit, .NET development · Lviv and Austin. Claude named Leobit in 2% of checks before the campaign and in 66% after. Google AI Overviews 4% to 36%, ChatGPT 12% to 52%. Report 10 August 2026.

“We have already received three relevant leads from ChatGPT and Claude.”

Anastasiia Bezpalova, Head of Inbound Marketing, Leobit
Ole Shved, CPO at StackBob, on camera▶StackBob · Ole Shved, CPO · 1:52 · YouTube

StackBob, identity governance SaaS · Detroit. Named in ChatGPT, Claude and Google AI Overviews within two weeks of the campaign.

“We are a B2B security platform. We now get mentioned across Google AI Overviews, ChatGPT and Claude.”

Ole Shved, CPO, StackBob
03 · Results

Measured, with dates

10 samples per prompt before the campaign, daily tracking after. Your category may move slower. We say so before you pay.

Leobit · .NET development
2% → 66%

Share of Claude checks naming Leobit before and after campaign 1. Google AI Overviews 4% to 36%, ChatGPT 12% to 52%. Report 10 August 2026.

DataForSEO · SEO data API
0% → 100%

Claude checks naming DataForSEO on two buyer prompts after campaign 1. Google AI Overviews: all five target keywords at 100% of checks, worst position from #9 to #1. Tracked until 19 August 2026.

StackBob · identity governance SaaS
2 weeks

From stealth to named in ChatGPT, Claude and Google AI Overviews within two weeks of the campaign.

04 · Pricing

Two ways to start

Start here

AI competitive analysis

$500
one category · a report and a call

What the models know about you, how your competitors scale their brand online, the questions you can win first, and a technical check of your site and profiles.

Campaign

LLM search optimization campaign

from $3,500
30 placements · one narrow question

Listicles naming you on sites LLM crawlers visit, published in stages over 10 working days. Tracking for a month and a before-and-after report included. 60 placements $7,000, larger campaigns custom.

Both start with a 20-minute call. You leave with the prompts your buyers run and where you stand in the answers today.

05 · Call

Book a 20-minute call

We show you the prompts your buyers run, who the models name today, and the question where a first campaign can win.

Book a call → hello@llmrank.agency
06 · Industries

Who we usually work with

Services

Software development and IT outsourcing

Buyers ask for "the best .NET development companies" and read a list of five. We get you into the lists those answers come from, starting with a narrow question you can win.

Read how it works for a dev shop →
Products

B2B SaaS

Buyers ask which software to buy and the model quotes a listicle. We get your product into the lists, in the use-case questions where the answer is still open.

Read how it works for a SaaS →
07 · Who you work with

Why you are in good hands

Ivan Nechyporenko, founder of llmrank.agency
Ivan Nechyporenko
Founder, llmrank.agency
  • 10 years in marketing.
  • Ex Marketing Manager at Clockwise Software.
  • Ex CMO at Insert Link and Editorial Link.

"LLM Rank is a small, flexible team. We adapt quickly to changes in LLM systems and give our clients the solution that brings the best result for the money."

Ivan Nechyporenko
08 · FAQ

Questions

Is this GEO, AEO or LLM SEO? +
Same thing under different names: LLM optimization, LLM SEO, generative engine optimization (GEO), answer engine optimization (AEO), AI search optimization. All of them mean being named in AI answers.
How is LLM SEO different from SEO? +
SEO ranks a page for a query. LLM SEO gets a brand named in an answer. The model does not look at your rankings. It reads the lists and reviews it has crawled and names the brands those sources agree on. So the work goes into third-party sources, consistent company facts and crawler access, and the result is measured as how often you are named per prompt, not as a position. No link building, no synthetic reviews, no seeding.
What does an LLM SEO agency actually do? +
Three things. It checks, prompt by prompt, what ChatGPT, Claude and Google AI Overviews say about you and your competitors today: an AI visibility audit with prompt research. It gets your brand into the sources the models read: lists on sites LLM crawlers visit, next to your real competitors, which is citation and source building. And it makes your own pages and profiles state the same facts, so the models can quote them: entity cleanup, content restructured for AI answers, structured data, crawler access. Then it measures the before and after and tracks the citations.
How do we choose an LLM SEO company? +
Five checks. Ask what they do that a regular SEO agency does not; the answer should be about third-party sources and prompts, not rankings. Ask for results with dates and a named client. Ask how the result is measured and how often. Ask what they will not do: synthetic reviews, Reddit seeding, guarantees of a position. Then compare the price with the size of the question you want to win.
Do we need an llms.txt file? +
No. Google has said it does not use it, and the other assistants read normal pages. What matters is crawler access in robots.txt for GPTBot, OAI-SearchBot and ClaudeBot, plain facts on the page, and the same facts on the sites the models read.
How much does it cost? +
AI competitive analysis $500. LLM search optimization campaign from $3,500 for 30 placements, $7,000 for 60, larger campaigns custom. Tracking for a month is included in every campaign.
How fast? +
Placements go out in stages over 10 working days. On the campaigns we have run, the lift in visibility showed one to two weeks after the campaign.
Which AI assistants do you track, and how? +
In 2026 we track ChatGPT, Claude and Google AI Overviews. Each prompt runs several times, because the same prompt gives different answers. The report shows how often you are named in each, before and after the campaign, with dates. Other assistants on request.
Why third-party sites and not our own blog? +
Models treat your site as a claim and other sites as confirmation. One list on your blog is self-promotion. Several independent lists that agree on you look like consensus, and consensus is what gets a brand named. Your site still matters: it has to confirm the facts the lists state. That is the content optimization part.
Do you name our competitors? +
Yes, in every article. A list without competitors is an ad, and models skip ads.
Do you do Reddit or forum seeding? +
No. Reddit removes it, and it is not where buyer answers come from.
Which companies do you work with? +
Software development and IT outsourcing companies, and B2B SaaS. Other categories case by case, after the audit shows a winnable question.