Get cited by the LLMs your buyers already trust.

We help B2B companies optimize their content for large language models — so when ChatGPT, Perplexity, Claude, and Gemini generate answers for your category, your brand is the one being recommended. Not your competitor’s.

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

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Highest AI Traffic Growth Achieved

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Revenue Added for Clients

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LLM Surfaces Tracked Per Client

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Clutch Rating, 200+ Reviews

LLMs decide who gets
recommended. Are you?

LLMs don't find content — they draw from what they trust

Unlike Google, LLMs generate answers from semantic patterns, training signals, and real-time retrieval layers. If your content isn’t optimized to be understood, parsed, and cited by these systems — at a technical level, not just a keyword level — you simply don’t exist in the answers your buyers are reading.

Traditional SEO and AEO don't reach LLM training signals

Ranking on Google gets you seen by crawlers. Featured snippets get you into answer boxes. But getting cited by ChatGPT, Claude, or Gemini requires a deeper layer: semantic clarity, entity authority, and topical depth that an LLM’s attention mechanism recognises as credible enough to surface in a generated response.

The early-mover advantage in LLM optimization is compounding right now

The brands building authoritative, semantically-structured content and knowledge graph presence today will be the default citations in AI answers for the next 3 to 5 years. Late movers will spend significantly more to close a gap that is widening every quarter while they wait.

Full-stack LLM optimization.
Every signal that matters.

From LLM visibility audits to semantic content architecture, entity mapping, and prompt-aligned content development — every layer required to make B2B brands citable across every major large language model.

LLM Visibility Audit and Citation Baseline

We test your brand’s footprint across all major LLMs — ChatGPT, Claude, Gemini, Perplexity, Microsoft Copilot, and Meta AI. We submit the exact queries your buyers use and document every instance where a competitor is cited instead of you. The output is your LLM visibility score by model, by query category, and by competitor — the complete map of where your brand is missing from the conversations that drive deals.

Semantic Content Architecture

LLMs understand content through semantic patterns — not keyword density or backlink counts. We restructure your existing content and create new assets with the semantic clarity, topical depth, and logical flow that LLM attention mechanisms recognise as authoritative. Every page is engineered to survive extraction through an LLM’s context window as a reliable, citation-worthy source — not just a web page that happened to rank.

Entity and Knowledge Graph Optimization

LLMs maintain internal representations that associate entities — brands, people, products, concepts — with attributes and relationships. We build and optimize your brand entity: ensuring your company, your founders, your products, and your category expertise are correctly mapped in Google’s Knowledge Graph and understood by the underlying data signals that shape major LLM responses. This is the infrastructure layer most optimization agencies skip entirely.

Prompt-Aligned Content Development

We map the conversational queries your buyers are entering into ChatGPT, Perplexity, and Claude — then create content that directly answers those prompts in the format LLMs prefer to extract from. This is not keyword research for Google. This is prompt engineering applied to content strategy: understanding the intent, structure, and phrasing of the prompts that lead to vendor recommendations, and reverse-engineering content that wins those recommendations.

Training Data Footprint Expansion

LLMs cite sources they have encountered across the web. We expand your training data footprint through high-authority digital PR, strategic content placement on trusted third-party publications, and systematic topical cluster development — increasing the surface area of credible, LLM-citable content that exists about your brand, your products, and your category across the internet. More authoritative mentions means higher citation probability across every LLM.

LLM Citation Monitoring and Pipeline Attribution

Monthly tracking of your brand’s citation rate across all major LLMs. We submit your target queries to each model, document the responses, map competitor citations, and attribute AI-referral sessions back to leads, MQLs, and pipeline outcomes in your CRM. The only metrics that matter: is an LLM recommending you, and are those recommendations generating revenue — not just impressions?

Systematic.
Measurable. Compounding.

Four phases from LLM visibility baseline to consistent citation growth across every major model. Every phase has explicit deliverables, OKRs, and weekly accountability your leadership team can follow.

Week 1 to 2

LLM Visibility Audit

We test your brand across 12+ LLMs using your target queries. We document every citation (and every competitor citation), score your current LLM visibility by model, and produce a prioritised gap map that shows exactly where and why you’re being missed — and what fixing it requires.

Week 3 to 4

Semantic Strategy and Entity Mapping

A structured content and technical roadmap: which queries to target first, what semantic architecture to implement, which entity signals to build, and how to expand your web footprint for fastest LLM citation lift. All reviewed and approved by your team before we start executing.

Month 2 to 4

Content Development and Footprint Expansion

Semantically-structured content ships weekly. Entity optimization and schema implementation rolls out in technical sprints. Digital PR and authority-building runs in parallel. Every deliverable is tracked against LLM citation lift and pipeline outcomes — not generic traffic or engagement metrics.

Month 5 onward

Monitor, Prompt-Test, Compound

LLM models update. Citation patterns shift. We re-test your brand across all models monthly, refresh content that’s losing citation share, expand into new query clusters as your authority grows, and keep your brand cited as AI search captures a growing share of your buyers’ research journeys.

Not just an LLM optimization firm.
Your AI visibility team.

The only B2B LLM optimization agency with live, verifiable case studies. We don’t sell theories — we show you exactly what we’ve done, for whom, and what it produced in pipeline.

Most agencies selling LLM optimization services have frameworks. We have Zetwerk (2,217% AI traffic growth in 9 months) and IH Global (cited by 4 major LLMs within 12 weeks). Verifiable results, real brands, available for reference calls.

Getting cited by an LLM is the means. The end is qualified B2B pipeline. Our attribution reporting connects every AI citation source to leads, MQLs, demos, and closed-won revenue — so you can quantify LLM optimization ROI at board level, not just in a marketing report.

Separating LLM optimization from your broader search presence creates signal gaps that limit what any single layer can achieve. We run the entire stack — traditional SEO, AEO, GEO, and LLM optimization — as one integrated programme. Every signal reinforces the others, and your brand’s authority compounds across every surface simultaneously.

ChatGPT, Perplexity, Claude, Gemini, Copilot, Meta AI — and emerging models as they gain B2B adoption. We track and optimize across every surface where your buyers research, not just the ones with easy-to-screenshot UIs.

Enterprise B2B buyers use LLMs differently from consumers. They’re researching vendors, comparing capabilities, validating shortlists. Our prompt mapping, content strategy, and citation monitoring are all built around the specific queries, contexts, and information needs of complex B2B buying committees.

LLM optimization results
that are verifiable.

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

How a Full Brand and Website Transformation Set Zinrelo on a Path to 2X Revenue Growth

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

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

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.

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.

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.

Qoulomb vs.
the alternatives.

What You Get

Qoulomb

Typical Agency

LLM Citation Tracking Across 12+ Models

✓Every major LLM covered

✗ ChatGPT only

Semantic Content Architecture

✓Full content restructuring

✗ Standard blog output

Entity & Knowledge Graph Optimisation

✓Included in every engagement

✗ Rarely offered

Prompt-Aligned Content for Conversational Queries

✓Built into every content asset

✗ Keyword-led content only

Pipeline Attribution from LLM Citations

✓Revenue connected and measurable

✗ Traffic reports only

Live B2B LLM Case Studies

✓Verifiable results available

✗ Theoretical only

Average Client Retention

✓2.5 to 4 years

✗ 6 to 12 months

Honest answers
up front.

We’d rather answer these before a call than waste 30 minutes on both sides going in blind.

What is LLM optimization and how is it different from SEO or AEO?

SEO optimizes content for Google’s ranking algorithm. AEO (Answer Engine Optimization) targets specific answer surfaces like featured snippets and People Also Ask boxes. LLM optimization works at a deeper layer: making your content semantically structured, your brand entity authoritative, and your training data footprint large enough that the underlying large language models — ChatGPT, Claude, Gemini, Perplexity — cite your brand when generating answers for queries your buyers submit. Different technical problems, different solutions, different results. We run all three as one unified system.

How long does it take to see LLM optimization results?

Early improvements from semantic content restructuring and entity optimization typically produce measurable LLM citation lift in 8 to 12 weeks. Consistent citation frequency across multiple LLMs develops over 4 to 6 months as your web footprint and entity authority compound. Our Zetwerk case study showed 2,217% AI traffic growth over 9 months of systematic LLM and GEO work. We set explicit citation milestones at kickoff and test against each LLM monthly so you always know where you stand.

Which LLMs do you optimize for?

ChatGPT (GPT-4o and newer), Perplexity, Claude, Gemini, Microsoft Copilot, Meta AI, and emerging LLM-powered surfaces as they gain B2B buyer adoption. We track citation performance across all major models monthly and adjust the optimization strategy based on where your specific buyers are actively researching — not just the LLMs that are easy to report on.

How do you measure success in LLM optimization services?

Three layers. First, citation rate: how frequently your brand is cited in LLM-generated answers for your target queries, tracked across each model separately. Second, AI traffic: sessions arriving from LLM-powered search surfaces, attributed in GA4. Third, pipeline impact: MQLs, demos, and closed-won revenue traced back to AI-search visitors via your CRM. We track all three in a live dashboard — and we report on the third one most loudly, because that’s the one your leadership team cares about.

Can you optimize content for LLMs without disrupting our existing SEO?

Not only can we — the two reinforce each other when done correctly. Semantic content architecture, entity authority, and topical depth all improve traditional SEO performance at the same time they lift LLM citation rates. In the rare cases where there’s a trade-off, we flag it explicitly and recommend what to prioritize based on your current traffic mix and pipeline goals. We don’t optimize in silos — every decision accounts for the full stack.

Is there a minimum engagement length?

We ask for a 6-month initial commitment. LLM citation authority is built on semantic content depth, entity signals, and web footprint — none of which produce meaningful results in less time. The first three months establish the foundation. The second three months is where consistent, measurable citation lift appears across multiple LLMs. After the initial term, we move to quarterly renewals. Our average client stays 2.5 to 4 years, which tells you more than any contract clause.

Ready to be the brand every LLM recommends in your category?

Book a free 30-minute LLM visibility audit. We’ll test your brand across 12+ language models, show you exactly where competitors are being cited instead of you, and map the fastest path to changing that. No pitch. No obligation.

We respond within one business day. You speak directly to our LLM strategy team — not a junior account manager.