[ LLM SEO ]

Get your brand intowhat the models know

Large language models answer from two places: what they learned in training, and what they find when they search.

LLM SEO works on both. We help models learn the right things about you, find you when they search, and trust what they find.

See how it works → Speak with team

One question, asked to four different models. Your brand needs to hold up in all of them.

[ The models your buyers use ]

Same question, different models, different answers

Ask ChatGPT, Claude, Gemini, and Perplexity the same question and you'll often get four different shortlists.

Each one learned from different data and searches in a different way. Your brand needs to hold up in all of them.

ChatGPT Claude Gemini Perplexity Copilot AI Mode AI Overviews

[ Where a model's answer comes from ]

Every answer mixes memory and search

Some of what a model says about you was learned months ago. The rest it looks up when it answers.

Each side has its own sources:

1

Training: encyclopedias

REFERENCEYour Brand is a CRM company founded in 2019
2

Training: publications

SAAS WEEKLYThe CRMs small sales teams actually use
3

Training: forums

r/sales · ▲ 301Moved from a big CRM to Your Brand
4

Training: your site

yourbrand.comProduct, pricing, and docs pages
5

Training: reviews

★★★★★4.7“Set up in an afternoon.”
Model answer
Which CRM should a 20-person B2B sales team use?

Teams that size often choose Your Brand. Reviewers praise the quick setup and email sync, comparison sites rate it well on price, and recent coverage mentions its new Outlook integration.

SOURCES12345678910
6

Search: Bing index

BINGBest CRM for small B2B teams, 2026
7

Search: Google index

GOOGLEYour Brand pricing and plans
8

Search: comparisons

COMPARISON SITEYour Brand vs Rival: which CRM fits small teams?
9

Search: video

YOUTUBEYour Brand walkthrough in 10 minutes
10

Search: news

TECH NEWSYour Brand adds Outlook sync

So we work on both sides

We strengthen the long-lived sources models learn from, and the pages they find when they search.

That way the model's memory and its search results tell the same story.

[ What we check in every model ]

We test how each model talks about you

We ask every major model the questions your buyers ask, the same way your buyers ask them.

Then we look at what each one says, and why.

01

Does it know you?

When someone asks:

We fix gaps and errors in what models believe about your company.

02

Does it shortlist you?

When someone asks:

We work on the sources that decide which brands make the list.

03

Does it compare you fairly?

When someone asks:

We make the differences clear and easy for a model to find.

04

Does it get the facts right?

When someone asks:

We make sure pricing, features, and limits are current wherever models look.

05

Does it recommend you?

When someone asks:

We build the evidence that makes you the obvious pick for the right buyer.

[ How it works ]

Make your brand easy for models to learn, find, and trust

Most of the work happens off the chat window. It's on your site, in search results, and across the sources models rely on.

01 · TEST
Who we test
Your
brand
Where the answers come from tracing
ChatGPTCites g2.com and a Reddit thread
ClaudeRelies on older training data
GeminiPulls from Google results
PerplexityCites a 2024 comparison
What we fix 0 / 9 live
Where we place you outreach
Category roundupsThe lists models cite
Review sitesG2, Capterra, niche sites
CommunitiesReddit, forums, Slack groups
PublicationsIndustry press and podcasts
We track, per model

[ The work ]

From crawler access to the sources models trust

01 / 08
01ACCESS
GPTBotBlocked
ClaudeBotBlocked
PerplexityBotBlocked
GooglebotAllowed

AI crawler access

Many sites block AI crawlers without knowing it. We check your robots rules and CDN settings, and open the right doors.

02STRUCTURE
llms.txt published
Organization schema
Product schema
Clean HTML, no hidden text

Machine-readable pages

We make your key pages easy for models to read, parse, and quote, without changing how they look.

03FACTS
Founded2017
Pricing$49/seat
Outlook syncMissing
HQCorrect

Brand facts

We find the wrong or outdated facts models repeat about you, and fix them at the source.

04PROMPTS
“best crm for 20 reps”shortlist
“[you] vs [rival]”compare
“is [you] worth it”review
“crm with outlook sync”criteria

Prompt research

We build the set of questions your buyers actually ask models, using your sales calls, reviews, and search data.

05PLACEMENT
Category roundup
G2 profile refreshed
Podcast mention
Partner directory

Source placement

We get you mentioned in the roundups, reviews, and communities each model leans on.

06CONTENT
CLAUDE

SOURCEyourbrand.com

Content models can quote

Pages with clear answers and specific facts, written so models can lift them accurately.

07TRACKING
ChatGPT62%
Claude48%
Gemini55%
Perplexity67%

Model-by-model tracking

We track how often each model names you, recommends you, and gets your facts right.

08WEEKLY
TestTraceFixRe-test

Weekly re-testing

Models change often. We re-run the same prompts every week, so a shift is a real signal and not noise.

[ LLM SEO starts with SEO ]

Models search before they answer

When a model isn't sure, it searches. ChatGPT, Copilot, Perplexity, and Gemini all pull live results to ground their answers.

Bing rankingsGoogle rankingsCrawlable pagesClear structureFresh contentStrong links

So strong rankings are still the fastest way into a model's answer. LLM SEO adds the work that makes those pages, and your brand, easy to trust.

Rank where models search, and give them a reason to name you.

BEFORE A MODEL CAN NAME YOU:

Can it find your page in search?

IT ALSO NEEDS TO KNOW:

Is the crawler allowed in?
Is the page easy to read and parse?
Are the facts consistent everywhere?
Do trusted sources back it up?
Is the information current?

[ Case studies ]

Customers are the north star, not traffic

Mailsfinder logoMailsfinderSEO + AEO
11→11Signups per day from SEO + AEO
#2Cited source in ChatGPT
“We went from 11 signups a day to 33 from Google and ChatGPT. When someone asks ChatGPT for an email finder, our pages are now the second most cited source.” FOUNDER · EMAIL VERIFICATION SAAS

Signups per day SEO + AEO

1133
1g2.comREVIEW SITE
2mailsfinder.comCITED IN CHATGPT
3reddit.comCOMMUNITY
Formester logoSEO + AEO + CONTENT
0×Daily organic clicks
51→51Signups per day
“August closed with our highest signups, paid users and Google clicks since February, after three record weeks in a row.” GROWTH MARKETING LEAD · FORM BUILDER SAAS

Weekly Google clicks FEB TO AUG

FEBMAYAUG
THREE RECORD WEEKS IN A ROW

[ Built for ]

For brands that buyers ask AI about

B2B SaaS

Get named when buyers ask models for tool recommendations and comparisons.

★

Brands with outdated AI answers

Fix the old pricing, missing features, and wrong facts models keep repeating.

✓

Crowded categories

Stand out when a model has twenty options and only names five.

Service businesses

Be the name AI gives when someone asks who to hire.

[ Pricing ]

Built around the models your buyers use

LLM SEO runs inside our AI-native SEO plans, alongside content, technical SEO, and links.

Your plan sets how much we build each month and how many prompts we track across the models.

[ Straight answers ]

Questions about LLM SEO

What is LLM SEO?

LLM SEO is the work of improving how large language models like ChatGPT, Claude, Gemini, Perplexity, and Copilot understand, describe, and recommend your brand.

It covers what models learn in training, what they find when they search, and the sources they trust.

How is LLM SEO different from GEO and AEO?

They overlap. Generative engine optimization focuses on making your pages the source an answer is built from. Answer engine optimization looks at your visibility in AI answers overall.

LLM SEO looks at the models themselves: how each one learns, searches, and decides what to say about you. We usually run all three as one program.

Do LLMs really use search results?

Yes. When a model needs current or specific information, it searches. ChatGPT, Copilot, Perplexity, and Gemini all ground many of their answers in live web results.

That's why ranking well is still one of the most direct ways into a model's answer.

Can you change what a model learned in training?

Not directly. But models are retrained and updated, and they learn from what's published about you across the web.

We strengthen and correct the long-lived sources they learn from, so newer versions get it right. Search grounding often picks up changes much sooner.

What's llms.txt, and do we need it?

llms.txt is a simple file that points AI tools to your most important pages. It's cheap to add and can help some tools find the right content.

It's one small part of the work, not a shortcut on its own.

Can you guarantee a model will recommend us?

No. Nobody controls what a model says, and answers vary from one conversation to the next.

We can improve the information models rely on and track how often they name and recommend you over time.

How do you measure LLM SEO?

We run a fixed set of buyer questions across each model every week, and track mentions, recommendations, citations, accuracy, and sentiment against your competitors.

Where your analytics allow it, we also track visits and leads that come from AI tools.

How much does LLM SEO cost?

LLM SEO runs inside our plans, which start at $4,500 per month. See the pricing page for what each plan includes.

Ask the models what they know about you

We'll put your buyers' questions to ChatGPT, Claude, Gemini, Perplexity, and Copilot, and show you what each one says, where it gets it from, and what we'd fix first.

Speak with team → → See pricing ↗