LLM SEO agency
An LLM SEO agency for how language models choose brands
LLMReach runs LLM SEO services for brands whose buyers ask ChatGPT, Claude, Perplexity and Gemini. We map buyer prompts, fix technical signals, and track citations against your baseline.
Why it matters
Models name a few brands. Is yours one?
- One answer: Assistants return one answer with a few sources, not ten links. A brand that is not cited is not considered.
- Rankings: Google rank does not make you a source. In our October 2026 test of 249 buyer questions, 13% of the sites the assistants cited ranked in Google's top 10 for that question.
- Entities: An entity described differently across the web is harder for a model to recognise and repeat.
- Sources: Rivals named for your category take the shortlist before a buyer reaches your site.
A model repeats what it learned in training or what it retrieves live. LLM SEO works on both: consistent brand facts, and pages a model can read.
Our own results
We do this for our own brand first.
Gemini · Named
“best agency for getting cited in LLMs”
ChatGPT · Named
“agency that gets you cited in AI models”
ChatGPT · Named
“best agency for getting cited in LLMs”
AI answers vary by platform and moment, so these show the method working on those days, not a promise of identical answers.
See all resultsWhat you get
LLM optimization services, from prompt gaps to citations.
You start with a free AI audit, reviewed with you live. The 90-day engagement builds on what it finds.
- LLM optimization services that start with a prompt-level gap map across ChatGPT, Claude, Perplexity and Gemini
- An AI share of voice baseline against your competitors, taken before work begins
- Competitor citation intelligence: who is cited and from which sources
- Entity signal cleanup across your site and main profiles, so models see one consistent brand
- A technical checklist for crawler access, schema, llms.txt and rendering
- Answer-first content engineering for the prompts agreed with you
- Genuine presence in the communities and third-party sources models draw on
- Citation tracking with the exact prompt, platform and capture, so you can reproduce any test
How it works
The Citation Stack, an LLM optimization agency method.
- 01
Prompt research
Models draw on what they learned and what they retrieve live. We map the buyer prompts your audience uses, agree them with you first, and measure results against them.
Explore AI Prompt Research - 02
Technical optimization
We fix the structural reasons models pass over your site: crawlability, schema, entity consistency and the signals that make a page retrievable at the moment a model answers.
Explore Technical GEO - 03
Content
We write the pages, answers and supporting material that give models something worth citing, built for the prompts agreed in step one.
Explore AI Content Optimization - 04
Reddit authorityWe build genuine presence in the community and third-party sources models rely on. No spam, no automation.
Explore Reddit Marketing - 05
Visibility tracking
We track citations per day across the agreed prompt set in a shared dashboard, against a baseline set before work begins, with weekly updates and a review every two weeks.
Explore AI Visibility Tracking
You approve every page. We do the rest: about an hour a week from you. See all our AI visibility services
Who this is for
For brands where AI already shapes shortlists.
Not for you
If any of these are you.
- You expect models to name your brand within a few weeks of starting
- You want a report to hand to your own team, not the work done for you
- You can't share site access or approve copy, so technical and content fixes can't go live
- Your buyers never research with AI before they buy, so models don't shape your shortlist
For you
If this is you.
- Your buyers ask AI assistants to research and compare options before they ever contact your sales team
- You can name two or three competitors you want models to mention instead of, or alongside, you
- You want the work done for you, not another report listing what to fix
- You're ready to commit to a 90-day window and review progress against a baseline
- This work pays off where buyers research with AI before contacting sales.
- You start with a free strategy session, no obligation, and the audit and roadmap cost you nothing.
FAQ
Questions about hiring an LLM SEO agency.
What does an LLM SEO agency do?
LLMReach works to get your brand named and cited in answers from ChatGPT, Claude, Perplexity and Gemini. The work covers buyer prompt mapping, technical AEO fixes, answer-first content and citation tracking against a baseline.
How is LLM SEO different from classic SEO?
Classic SEO ranks your pages in a list of links. LLM SEO aims for a mention or citation inside a written answer. In our October 2026 test of 249 buyer questions, only 13% of cited sites ranked in Google's top 10.
How do LLMs decide which brands to mention?
Models draw on what they learned in training and on pages they retrieve live. Both reward consistent facts about your brand and sources the assistant can confirm, such as your site, directories, reviews and community discussions. No single signal decides the answer.
What do LLM optimization services include at LLMReach?
LLMReach's LLM optimization services cover prompt research, crawlability and schema fixes, answer-first pages, genuine Reddit presence and citation tracking. They are the five steps of the Citation Stack, run as one 90-day engagement after a free audit.
Which AI platforms do you cover?
LLMReach checks each assistant separately, because they rarely agree: across our 25 industries, 72% of the businesses named came from only one of the three assistants (ChatGPT, Gemini and Perplexity).
Can an LLM SEO company promise a specific number of citations?
LLMReach measures your brand's citations against your own baseline and checks each assistant separately, because they rarely agree. The engagement targets a 30% increase in total citations within 90 days.
What does the free AI audit include?
The free audit includes an AI share of voice baseline, a prompt-level gap map, competitor citation intelligence, a technical checklist, one highest-impact recommendation and a prioritized 90-day roadmap. It is a diagnostic run on 50 buyer prompts.
What do you need from me to start?
LLMReach needs your website URL and the names of two or three competitors to start the audit. During the engagement, you approve every page and give about an hour a week.
How do you prove the work moved anything?
Each citation is captured with the exact prompt, platform and screenshot, so you can reproduce any test yourself. LLMReach measures against a baseline taken before work begins, using its own internal AI visibility tracker.
Free AI Audit
See where models name you and where they don't.
You leave knowing where the gap is, what is causing it, and which changes would matter first, whether we work together or not.
What to expect
Audit
Before the call, we run your buyers' questions through ChatGPT, Claude, Perplexity and Gemini.
Map
On the call, we show you where competitors are cited and you are not, and what's causing it.
Decide
An honest read on whether the Citation Stack fits. If it doesn't, you'll hear it on the call.
Don't see a time that works? Email Karim directly: contact@llmreach.ai