LLM Optimization Services That Get You Cited

Qoulomb’s LLM Optimization Services help B2B brands become the recommendation inside ChatGPT, Claude, Gemini, and Perplexity, trusted by 200+ companies and a 4.9 Clutch rating.


200+ B2B brands scaled across Tech, SaaS, Fintech and Manufacturing | 2,217% AI traffic growth, Zetwerk · Clutch 4.9 ★

200+ B2B brands trust Qoulomb across Tech, SaaS, Fintech and Manufacturing

Samsung
Zetwerk
Slice
Cybertech
Elchemy
Gain
True Loyal
HP
Redian
Unimacts
Zinrelo
AdvansAppz
American Chase
Covvalent
Data Marshall
Dialnexa
Shipsy
Murphi AI
Neurosensum
Novopor
Recast Studio
Scimplify
Supersourcing
Surveys Sensum
0 %

Highest AI Traffic Growth Achieved

$ 0 M+

Revenue Added for Clients

0 +

LLM Surfaces Tracked Per Client

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Clutch Rating, 200+ Reviews

How LLM Optimization Services Get Your Brand Recommended?

Large language models do not crawl your site the way a search engine does. They retrieve passages, check them against what they already know, and name the brands they can explain with confidence. LLM Optimization Services close that gap. The work is making your expertise retrievable, your entity verifiable, and your claims traceable to sources these models already trust. That is exactly what we build. We combine generative engine optimization, content structure, entity signals, and earned citations so large language models understand, trust, and recommend your business.

Being Online and Being Cited
Are Not the Same Thing

Your content can be indexed, accurate, and still absent from every AI answer in your category. Three reasons that happens.

01

Content Models Cannot Retrieve Cleanly

Retrieval-Augmented Generation and vector search favor passages that stand alone, so content structured for AI crawlers gets cited while buried answers get skipped.

02

An Entity the Model Cannot Confirm

Without structured data, consistent naming, and semantic search signals, a model has nothing to check you against and defaults to a competitor it recognizes.

03

Claims With No Traceable Source

Language models weight information they can attribute. Unsourced product claims and self-referential statistics are exactly what a cautious model leaves out.

One Connected System for
Large Language Model Optimization

Qoulomb runs LLM Optimization, answer engine optimization, GEO, and AI SEO as one system so every model reads the same clear signals.

01

LLM Content Structuring

Rebuild pages into retrievable, self-contained answers that models can lift, attribute, and repeat accurately.

02

Entity SEO and Knowledge Graph Building

Strengthen structured data, naming consistency, and category relationships so models can confirm who you are.

03

LLM Citation Strategy

AI citation optimization that earns mentions on the sources models already trust, through digital PR, comparison coverage, and credible third party placement.

04

ChatGPT and Perplexity Optimization

ChatGPT optimization and Perplexity optimization for the two platforms where B2B research concentrates, each with its own retrieval behavior and source preferences.

05

Claude and Gemini Optimization

Build the topical depth and factual clarity these models rely on when they explain a category to a buyer.

06

AI Visibility Tracking and Reporting

Monitor how often, and how accurately, each model describes your brand against competitors.

07

Enterprise LLM Optimization

Govern signals across regions, sub brands, and product lines so every model gets one consistent story.

Built Around How B2B Buyers
Search, Compare, and Decide

A structured LLM search optimization roadmap that makes your brand easier to retrieve, verify, cite, and recommend.

Week 1 - 2

See How Models Describe You Today

We run the prompts your buyers use, record which competitors get named, and document what each model gets wrong about you.

01

Week 3 - 4

Make Your Expertise Retrievable

We restructure content into passages models can use and confirm your entity with data they can verify.

02

Month 2 - 4

Earn Citations Across Models

We build the authority layer through digital PR, comparison content, and continuous optimization across every major platform.

03

Month 5 onward

Connect Visibility to Revenue

Models retrain and shift. We track share of citation, expand coverage, and tie every gain back to pipeline.

04

Built for the B2B
Industries Shaping Tomorrow

We work only with B2B organizations, helping them get named where modern buyers research, compare, and shortlist.

SaaS

Get cited in the comparison prompts buyers run for weeks before they ever request a demo.

AI Companies

Establish credibility in a category where models stay cautious about recommending brands they cannot verify.

Healthcare

Give models accurate, well sourced information that holds up to clinical and procurement scrutiny.

LegalTech

Build the authority record models look for before naming a platform in a considered recommendation.

FinTech

Strengthen the trust signals that decide the shortlist where compliance and reputation carry weight.

Enterprise and Manufacturing

Support long buying committees with enterprise LLM optimization across regions and product lines.

What founders and CMOs say about us.

What I respect most is the honesty. They told us month two that our landing pages were the bottleneck, not the content. Fixed it together. That level of candour is rare from an agency partner.

José Russo Pons

Head of Growth Marketing, GAIN

Five months in and we have more organic MQLs than our entire paid budget was generating. The SEO and content team at Qoulomb understands B2B buying behaviour at a level I haven’t seen before.

Gopal Krishna

Director of Marketing and Sales, Zetwerk

We went from invisible to the go-to resource for loyalty and retention teams in our space. The content strategy paid for itself in three months with a single inbound deal from an enterprise client.

Neha Sarwal

Head of Marketing, Trueloyal

Qoulomb completely changed how we thought about content. Within four months we were ranking on ChatGPT and Perplexity for our core buying terms. Pipeline doubled without doubling our ad spend.

Mehul Singhal

Product Marketer · Elchemy

LLM optimization results
that are verifiable.

Real outcomes from real B2B brands across manufacturing, healthcare logistics, and SaaS.

How Zetwerk's Brand AuthorityProgramme Fuelled 2,217% AITraffic Growth in 9 Months

2,217%

AI traffic growth

+41%

Overall organic growth

8.2%

AI share of total traffic

How IH Global Became an AI-Trusted Brand — A Messaging andGEO Transformation Story

4

Major LLMs citing IH Global

3x

AI discoverability lift

12 wk

First AI citation

What our clients
actually say.

A structured four-phase approach that moves from baseline to compounding AI visibility, systematically and measurably.

Qoulomb didn’t just give us a new logo. They gave us a way to talk about our company that finally matched what we actually do. Within three months of the rebrand, our close rate on enterprise deals visibly improved. Buyers were arriving to calls already sold on who we are.

José Russo Pons

Head of Growth Marketing, GAIN

The brand strategy workshop alone was worth the entire engagement. For the first time, our sales team, our content team, and our leadership team were describing the company the same way. That consistency is something you can’t put a price on — but you can measure it in pipeline.

Gopal Krishna

Director of Marketing and Sales, Zetwerk

We’d worked with two branding agencies before Qoulomb. Both delivered beautiful decks that gathered dust. Qoulomb connected the brand strategy directly to our content and SEO plan from day one. Three months later, the brand is actually doing commercial work for us — not just looking good on a PDF.

Neha Sarwal

Head of Marketing, Trueloyal

Where LLM Strategy Meets Measurable Growth.

Everything we do helps B2B brands earn AI recommendations buyers act on, with a B2B LLM optimization agency that reports on business outcomes.


Your buyers move between ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, and Microsoft Copilot. We optimize for all of them, not only the biggest one.


We do not stop at citation counts or share of voice. Every engagement is measured through Sales Qualified Leads, influenced pipeline, AI assisted conversions, and revenue.


From SaaS to HealthTech, LegalTech, FinTech, and manufacturing, we build for committees, long cycles, and high value deals.


Qoulomb has contributed to $17.3M in client revenue and delivered 2,217% AI-referred traffic growth in under a year for one engagement.


Recognized Across
Industry-Leading Platforms

Showcasing Qoulomb’s expertise across respected global publications.

YourStory
The Times of India
Business Standard
Forbes
Entrepreneur

Know If LLM Optimization Services Are the Right Next Step.

Find out whether LLM optimization fits your goals, your buyers, and your stage of growth.

LLM Optimization is right for you if…
You may not need LLM Optimization yet if…
Your buyers ask ChatGPT, Claude, Gemini, or Perplexity for vendor recommendations before they contact you.
Your business runs mostly on referrals, repeat customers, or offline relationships.
You want AI citations and recommendations tied to pipeline, not reported as a standalone visibility number.
You are looking for quick traffic gains over the next few weeks.
You already invest in B2B SEO and want to expand into LLM SEO services, GEO, and AEO.
Your website is new and basic SEO foundations are not in place yet.
You sell SaaS, AI, HealthTech, LegalTech, FinTech, manufacturing, or other considered B2B solutions.
Your customers buy quickly without researching or comparing options online.
Models currently describe your business inaccurately, or name competitors in your place.
You want a one-time fix instead of an ongoing AI visibility strategy.
You need one connected strategy across LLM Optimization, demand generation, and technical SEO.
You are not ready to invest in long-term authority building.

Make Your Brand the One LLMs Recommend

Book a free 30 minute LLM optimization strategy call. We will show you how ChatGPT, Claude, Gemini, and Perplexity currently describe your brand, where competitors are named instead, and what closes that gap.

We respond within one business day. You can talk to our LLM strategy team directly.

Questions Worth Asking, Answers Worth Knowing

LLM Optimization is still new to many teams. Here we make the key questions easier to understand with simple, straightforward answers.

How do LLM optimization services improve visibility in ChatGPT?

ChatGPT names brands it can identify and verify. We restructure content into retrievable passages, strengthen your entity through structured data, and earn mentions on sources the model already treats as credible. The work builds an evidence trail rather than gaming the model.

Yes. Both models favor factual, well organized content with clear entity signals and traceable sources. The foundation carries across platforms, though each model weights sources differently, so we tune structure and citation targets per platform.

AI SEO is the broader program covering visibility across AI-powered search. LLM Optimization is the layer focused specifically on how language models retrieve, verify, and reference your content. They overlap heavily and work best when run together.

Most B2B teams should start with ChatGPT and Perplexity, where vendor research concentrates. Claude and Gemini matter as buyers spread across assistants, and Microsoft Copilot matters more in Microsoft-heavy enterprises. Your mix depends on where your audience researches.

We track citation frequency by model, share of citation against competitors, how accurately each model describes you, AI-referred sessions, qualified leads, influenced pipeline, and revenue. Reviewed together, these show business impact rather than visibility alone.

Yes, when visibility is mapped to the buyer journey. Being named at the shortlist stage brings buyers in already convinced, which usually shortens the sales conversation. That is why we track AI-referred sessions, qualified leads, and influenced pipeline.

Content structuring and entity work can show early movement in 4 to 8 weeks. Consistent citations usually take 3 to 6 months, and how long AI search results take depends heavily on your starting authority and category competition.

Structured data does not guarantee a citation, but it removes ambiguity. Organization, Product, Article, and FAQ schema help models confirm what you sell, who you serve, and how your entity connects to your category, which makes your content safer to reference.

It suits enterprises well. Long buying committees research independently across several models, often without ever filling in a form. Enterprise LLM optimization focuses on consistent entity signals across regions and sub brands, governed content standards, and reporting tied to pipeline.

They share one foundation. Clean technical health, clear entities, and credible content serve every surface. From there, AEO shapes the answer itself, GEO builds the authority behind it, and SEO holds the base. We run all four as a single roadmap.