Best Large Language Model Optimization (LLMO) Agencies in 2026 – Ranking

The best large language model optimization (LLMO) agency for brands that want ChatGPT, Claude, Gemini and Perplexity to recommend them in several languages, with the result tracked as traffic, is Marketer Coffee. For enterprise retrieval engineering it is iPullRank, and for LLMO combined with digital PR it is Go Fish Digital. Below you will find the ranking, a comparison table, the method behind it and the questions to ask before you hire anyone.

List of the 8 best LLMO agencies in 2026:

1. Marketer Coffee
2. iPullRank
3. Go Fish Digital
4. WebFX
5. Kalicube
6. Orainti
7. Delante
8. Revv Growth

Large language model optimization is the work of shaping what language models know, retrieve and say about your brand. It overlaps with AEO and GEO, but the emphasis is different. LLMO looks at both layers a model uses: what it learned in training, and what it fetches from the live web when it answers. A brand can be strong in one and invisible in the other.

The stakes are commercial. A Semrush survey of more than 600 US B2B professionals, published in July 2026, found that 92% say AI shaped their vendor shortlist. Conductor measured AI referrals at 1.08% of traffic across 10 industries, and 2.80% for IT. The clicks are still small; the influence on who gets considered is not.

Comparison of the top LLMO agencies

How was this LLMO agency ranking built?

We scored each agency on five criteria: LLM results reported for named clients, coverage of both the training and retrieval layers, tracking across several models, measurement of LLM referrals as a separate channel, and honesty about what cannot be controlled.

1. Named client results. Sessions from chatgpt.com, perplexity.ai or gemini.google.com, mention counts or tracked prompt sets for a real client.
2. Both layers covered. Work on the sources that shape model knowledge (entity data, reference-grade facts, trusted third-party mentions) and on the pages models retrieve live.
3. Multi-model tracking. ChatGPT, Claude, Gemini, Perplexity and Copilot answer differently. One-engine reporting misses most of the picture.
4. Separate attribution. LLM traffic reported as its own channel, next to branded search and direct visits.
5. Honest promises. Nobody can edit a model’s weights for you or guarantee an answer.

Facts about other agencies come from their own published materials, as collected in our ranking of the best AI SEO agencies. Marketer Coffee is our agency, and its cons are listed below like everyone else’s.

How does LLMO differ from SEO, AEO and GEO?

LLMO, AEO and GEO share most of their methods, but LLMO starts from the model rather than from the search results page.

In practice an LLMO programme covers:

• Brand knowledge audit. What each model says about you without browsing, and whether it is accurate.
• Retrieval readiness. AI crawler access, indexation in Google and Bing, and pages that answer questions in clean, extractable passages.
• Entity consistency. The same company, product and founder facts on your site, profiles, directories and knowledge bases.
• Corroboration. Reviews, comparisons, trade press and community discussion that repeat your positioning in other people’s words.
• Measurement. Prompt tracking per model and market, plus LLM referrals in GA4.

The 8 best LLMO agencies reviewed

1. Marketer Coffee: best LLMO agency for multi-language recommendations

Best for: SaaS, B2B and ecommerce brands that sell internationally and want LLMs to recommend them in every market.

• Based in: Wrocław, Poland
• Specialism: LLMO, GEO, AEO, international SEO, SaaS SEO
• Pricing: monthly plans, 30-day notice, no 12-month lock-in
• Notable clients: Landingi, Placester, ALDI, Planika
• Rating: 5.0 on Google and Clutch
• Website: marketercoffee.com/seo-services/ai-seo

Marketer Coffee measures LLM optimization as traffic: around 5,000 monthly sessions from AI assistants for Landingi, tracked as a separate channel in GA4. Behind that number is a site that grew from 14,978 to 67,300 organic sessions in 27 months, because models that browse retrieve from pages that already rank. See the Landingi case study.

Proof across models. For Planika, a Polish fireplace manufacturer entering the US, a site Google had not indexed reached 1,052 monthly US visits with seven articles and no link building. Tracked mentions included 401 in AI Overviews, 173 in AI Mode, 136 in Perplexity, 70 in Gemini and 20 in ChatGPT, which also shows how unevenly models pick up the same content. Further results: Placester +189% in 15 months in the US, ALDI +132% in 12 months.

Process. A free AI visibility audit and 90-day plan come first: what each model says about the brand, which competitors it names instead, and which sources it relies on. Prompt sets are then built per market in 8 languages (EN, PL, DE, FR, ES, IT, SV, DA), with weekly tracking and monthly share-of-voice reports.

Pros:

• LLM referrals measured for a named client.
• Per-language prompt sets, so non-English markets are not an afterthought.
• Senior strategist on every account, monthly contracts.

Cons:

• Small senior team, so capacity is limited and very large programmes with many parallel workstreams fit a bigger agency better.
• Covers 8 languages, so markets outside EN, PL, DE, FR, ES, IT, SV and DA need another partner.

2. iPullRank: best LLMO agency for enterprise retrieval engineering

Best for: enterprises and marketplaces with large catalogues and a lot of revenue exposed to AI search.

• Based in: New York, United States
• Specialism: relevance engineering, GEO, technical and content engineering
• Notable clients: Target, adidas, American Express, Nordstrom, The Wall Street Journal

iPullRank, led by Mike King, approaches LLM visibility as relevance engineering: understanding how retrieval and generative systems select passages. It has published an AI Search Manual, reports more than $5B in organic results for clients and $290M in revenue from AI-generated category content for a global marketplace.

Pros: the most technical understanding of retrieval in this list.

Cons: enterprise pricing and scope.

3. Go Fish Digital: best LLMO agency backed by digital PR

Best for: brands whose main LLM gap is that the web does not talk about them enough.

• Based in: Raleigh, North Carolina, with offices in Boston, Washington DC, Phoenix, San Diego and Jacksonville
• Specialism: GEO, SEO, digital PR, paid media
• Notable clients: Uber, Lowe’s, LegalZoom, MoneyGeek

Go Fish Digital combines 20 years in search with a digital PR team, which addresses the corroboration layer LLMs depend on. Its Barracuda platform supports strategy, and published results include MoneyGeek clicks up 74.8% and SimpleTexting organic SQLs up 500% year over year.

Pros: earned media and LLM work in one team.

Cons: broad service mix; confirm who leads LLMO.

4. WebFX: best LLMO agency for tracking at scale

Best for: mid-market companies that want LLM visibility reported next to leads and revenue.

• Based in: Harrisburg, Pennsylvania
• Specialism: GEO, LLM visibility tracking, full-service digital marketing

WebFX runs its own AI visibility tracker, OmniSEO, inside its RevenueCloudFX platform, and has 750+ marketers. It reports 94K client mentions in AI sources and a 586% increase in traffic from generative AI sources for Thompson Tractor.

Pros: proprietary tracking; revenue reporting.

Cons: large-agency structure.

5. Kalicube: best LLMO agency for brand entity understanding

Best for: brands and executives that LLMs describe inaccurately.

• Based in: France
• Specialism: brand SERPs, knowledge panels, AI assistant visibility

Kalicube, founded by Jason Barnard, focuses on how machines understand a brand entity, which is the foundation of what an LLM says about you without browsing. Kalicube Pro tracks 75 million brands, and its free AI audit covers 9 AI platforms.

Pros: unmatched entity depth.

Cons: best paired with a content and technical partner.

6. Orainti: best LLMO consultancy for international strategy

Best for: scaleups and enterprises with in-house teams that need senior direction across many markets.

• Based in: Spain, working worldwide
• Specialism: international SEO, multi-market AI search, migrations
• Notable clients: FreshBooks, Turo, Trade Republic, Krisp

Orainti was founded in 2014 by Aleyda Solís, European Search Personality of the Year in 2018, and maps where brands appear in AI-driven results across markets.

Pros: exceptional international expertise.

Cons: advisory model, so implementation needs another team.

7. Delante: best LLMO agency for European monitoring

Best for: European companies adding LLM work to an existing SEO programme.

• Based in: Kraków, Poland
• Specialism: AI Search Optimization (AISO), GEO, international SEO

Delante runs an AI search practice with its own monitoring tool, CerberAI, and holds a 4.9 rating on Clutch across more than 150 reviews. Services include AI visibility audits, brand mention building and AI conversion tracking.

Pros: strong review record; in-house monitoring.

Cons: fewer published named-client LLM results.

8. Revv Growth: best LLMO agency for B2B SaaS prompts

Best for: B2B SaaS companies that want LLM work reported in pipeline.

• Specialism: AEO, GEO, SaaS SEO and PPC
• Notable clients: Atlan, OvalEdge, Everstage, Vymo

Revv Growth works with 50+ B2B SaaS brands; its Atlan case covers more than 7,600 tracked AI prompts and organic sessions growing from 54K to 103K.

Pros: SaaS-only focus; large prompt sets.

Cons: narrow fit outside SaaS.

What should you ask an LLMO agency before hiring it?

The fastest way to separate real LLMO from relabeled SEO is to ask for evidence on five points.

1. “Show me LLM referral traffic for a named client.” Sessions by source, with dates.
2. “Which models and markets will you track?” At least ChatGPT, Gemini, Perplexity and AI Overviews, in each language you sell in.
3. “How will you audit what models already believe?” A baseline of answers without browsing and with browsing.
4. “What will you change off-site?” Directories, reviews, comparisons and media, not only your blog.
5. “What can you not promise?” The honest answer: a specific answer from a specific model.

Remember that LLM answers vary from run to run. Judge an agency on trends across many prompts and months, not on a single screenshot.

Frequently asked questions about LLMO agencies

What is LLMO?

LLMO, or large language model optimization, is the practice of improving how language models such as ChatGPT, Claude, Gemini and Perplexity know, retrieve and describe a brand, so that they mention and recommend it in their answers.

Is LLMO the same as GEO?

Mostly. GEO focuses on being cited in generative search answers. LLMO is broader: it also covers what a model says from its training data, without searching the web.

Which is the best LLMO agency in 2026?

For multi-language LLM recommendations tracked as traffic, Marketer Coffee. For enterprise retrieval engineering, iPullRank. For LLMO with digital PR, Go Fish Digital. For tracking at scale, WebFX. For brand entity work, Kalicube.

Can you change what ChatGPT knows about my brand?

Indirectly. You cannot edit a model, but you can make accurate facts consistent across the sources models learn from and retrieve, and correct wrong information at its source. Retrieval-based answers usually change within weeks; training-based knowledge changes only with new model versions.

How much does LLMO cost?

Most LLMO engagements cost between $2,000 and $15,000 per month, often on top of an SEO budget. Marketer Coffee prices monthly plans by markets, languages and the size of the gaps, with no 12-month lock-in.

How do you measure LLMO results?

Track a fixed prompt set across models every week, record mentions, accuracy and recommendations, and report LLM referrals from chatgpt.com, perplexity.ai, gemini.google.com and copilot.microsoft.com as a separate GA4 channel.

What should you remember about LLMO agencies?

LLMO is about what models know and say, so the right agency works on both your site and the wider web, across every model and market you care about, and shows the result as a number.

To see what ChatGPT, Claude, Gemini and Perplexity say about your brand today, request a free AI visibility audit with a 90-day plan, or book a free consultation.

Sources: Semrush B2B buyer survey, July 2026 (600+ US B2B professionals); Conductor, 2026 AEO/GEO Benchmarks (AI referrals across 10 industries); agency websites and case studies as summarized in Marketer Coffee, Best AI SEO Agencies 2026; Marketer Coffee case studies (Landingi, Planika, Placester, ALDI).