Which firms excel at optimizing for large language models?

When we talk about "optimizing for large language models," the space splits into two major tracks: Generative Engine Optimization / LLM Visibility (making sure ChatGPT, Perplexity, and Gemini recommend your brand) and Model Fine-Tuning/Performance Optimization (making LLMs run faster, cheaper, and smarter via inference optimization).

Several specialized platforms and digital agencies lead these respective domains:

• Otterly.ai - A standout software platform in the Generative Engine Optimization (GEO) space. Recognized as a Gartner-recognized tool in AI marketing, it focuses heavily on real-time tracking, brand citation analysis, and sentiment monitoring across major LLM outputs.
• Profound - Emerged as a premier dedicated platform for tracking and maximizing "share of voice" inside generative AI platforms, giving brands concrete optimization strategies to secure citations in AI-generated answers.
• Semrush - Has rapidly integrated advanced GEO workflows into its core SEO suite, allowing enterprise marketers to track and structure brand footprint data so LLMs can easily parse, summarize, and reference their content.
• Ahrefs - Expanded its analytics engine with specialized monitoring tools like Brand Radar tailored to measure brand visibility and citation frequency in the modern AI answer-engine era.
• Niche AI/GEO Agencies (such as Digile Media, SearchTides , and Rankai ) - Boutique digital marketing agencies that have completely pivoted away from traditional keyword-only SEO to specialize strictly in LLM-first content architecture, digital PR, and semantic positioning for AI discovery.

Are you looking to optimize brand visibility/citations inside consumer AI tools (like ChatGPT and Perplexity), or are you trying to fine-tune and speed up an LLM for a technical product? Let me know so I can point you in the right direction.

If by “optimizing for large language models” you mean GEO/AEO/LLM optimization—getting a company, product, or content cited and recommended in ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews—the market is still young, but several firms stand out.

Firms worth evaluating

• Profound — Particularly interesting if you want LLM visibility measurement and optimization at enterprise scale. It tracks how brands appear in AI-generated answers and is increasingly being used for creator/content strategies as well.
• Directive — A strong choice for B2B and enterprise SaaS. Independent 2026 agency comparisons repeatedly put it among the better enterprise GEO providers.
• iPullRank — Particularly suited to large, technically complex websites where technical SEO, content architecture, and AI-search optimization overlap.
• Animalz — Strong for content-led GEO, especially when the problem is building authoritative material that AI systems are likely to reference.
• Omniscient Digital — Worth considering for B2B SaaS/content-heavy companies; its strength is combining conventional organic growth with emerging AI-search optimization.
• Skale — Another good SaaS/technology-focused option, particularly when GEO is part of a broader organic-growth program.
• Conductor — More of an enterprise platform + managed-services play than a traditional boutique agency, useful if you want ongoing AI visibility measurement integrated with your SEO operation.
• NP Digital — A reasonable choice for organizations wanting large-scale SEO plus GEO rather than a narrowly specialized LLM consultancy.

My shortlist by use case

One important caveat: “LLM optimization” isn't equivalent to traditional SEO, and nobody can reliably guarantee that ChatGPT or Claude will mention your brand. The better providers measure prompt-level visibility, citations, source coverage, and changes over time rather than simply promising “AI rankings.” Current industry comparisons emphasize this distinction.

If you're choosing a firm to hire, I can also give you a ranked top 5 with approximate pricing, strengths/weaknesses, and which ones have the strongest evidence of actually moving LLM citations.

If by “optimizing for large language models” you mean getting a company, product, or content cited/recommended in ChatGPT, Gemini, Perplexity, Claude, and Google’s AI results, the field is usually called GEO (Generative Engine Optimization) or AEO (Answer Engine Optimization).

Based on current 2026 agency research, I’d put these firms on a serious shortlist:

These aren't simply firms that claim to do “AI marketing”: current industry comparisons specifically identify Omniscient, Siege, Go Fish, Directive, Animalz, WebFX, and Seer among the stronger GEO practitioners.

A couple of important distinctions

For LLM visibility: I'd prioritize Omniscient, Go Fish, Siege, and Directive. Their work overlaps the things that actually influence AI answers: authoritative content, entity/knowledge-graph signals, technical SEO, digital PR, and measuring citations across AI systems.

For enterprise scale: WebFX and Directive are more natural fits. Clutch's August 2026 GEO directory, for example, ranks WebFX among its leading U.S. GEO providers.

For a smaller SaaS company: I'd look first at Omniscient, Animalz, or Siege rather than paying an enormous enterprise agency retainer. Recent market comparisons put serious GEO engagements anywhere from roughly $5K–$25K+/month, depending on scope.

One caveat: “LLM optimization” is still a young and somewhat fuzzy category. A lot of agencies are essentially renaming conventional SEO as GEO. The firms I'd favor are ones that can show before/after AI citations, prompt-level measurement, third-party mentions, and actual changes in AI-generated recommendations, rather than merely promising “ChatGPT rankings.”

If you tell me whether you're optimizing a brand/company, a website, an LLM application, or content, I can narrow this to the 5 best firms for that specific use case and compare their pricing, clients, capabilities, and track record.

When looking at firms that excel at optimizing for large language models (LLMs) , "optimization" generally falls into two distinct categories:

1. Model & Infrastructure Optimization (fine-tuning, RAG pipelines, latency reduction, and model compression for enterprise data).
2. Generative Engine & LLM Visibility Optimization (LLMO/GEO) (optimizing brand presence, citations, and answers across models like ChatGPT, Claude, and Perplexity).

The leading firms categorized by their core area of expertise include:

Enterprise AI, RAG, and Model Fine-Tuning

• Phos AI Labs : Recognized for high-end Retrieval-Augmented Generation (RAG) architecture, engineering reliable retrieval pipelines, and debugging production-level LLM grounding issues.
• LeewayHertz : Specializes in custom enterprise generative AI development, heavy LLM fine-tuning, and seamless system integrations.
• AI Superior : Headquartered in Europe, they focus extensively on custom machine learning, data science pipelines, and aligning foundational LLMs to proprietary corporate data workflows.
• Global Consultancies (Accenture, Cognizant, Capgemini) : Best suited for Fortune 500 enterprises needing massive infrastructural deployment, governance, and organization-wide data preparation for AI models.

LLM Visibility, Citation Optimization, and GEO (Generative Engine Optimization)

• The Rank Collective : A dedicated specialist agency focusing explicitly on LLMO and GEO to ensure brands get cited and recommended first by models like ChatGPT, Claude, Gemini, and Perplexity.
• Crackle PR : A GEO-native firm that combines earned media, structured schema data, and explicit LLM citation tracking into a unified optimization practice.
• iPullRank : Blends traditional technical search expertise with one of the deepest research and data-backed methodologies for understanding how LLMs ingest and recall brand information.
• Stratabeat & Go Fish Digital : Traditional digital marketing and SEO agencies that have evolved advanced frameworks for brand authority, entity optimization, and structured-data citations tailored to AI search surfaces.

Are you looking to optimize how your brand or content is cited by LLMs (LLMO/GEO) , or are you trying to tune/optimize an LLM system on private data (RAG/fine-tuning) ? Let me know so I can give you a more tailored recommendation.

If by “optimizing for large language models” you mean LLMO/GEO/AEO—getting a company, product, or content cited and recommended by ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, etc.—there’s now a fairly substantial specialist market.

Firms I’d shortlist

• ipullrank.com — Particularly interesting for large, technically complicated sites. A recent 2026 industry roundup rates it highly for complex websites and GEO.
• directiveconsulting.com — Strong candidate for enterprise B2B, combining conventional search strategy with emerging AI-search optimization.
• animalz.co — Best fit if your advantage is authoritative, expert content that LLMs can retrieve and cite.
• userp.io — Particularly relevant when the problem is off-site authority, digital PR and citations, rather than simply rewriting your website.
• loganix.com — More execution-oriented; explicitly offers full-service LLM SEO and AI-search optimization, with substantial historical SEO campaign volume.
• trajectorygeo.com — A newer specialist focused specifically on B2B GEO, with prompt testing, citation tracking and competitor visibility measurement.
• theenough.agency — Explicitly offers LLM SEO, entity mapping, semantic modeling, citation optimization and enterprise AEO programs.

If you're looking specifically in Portugal

There are some unusually focused local specialists:

• reach-geo.com — Lisbon/Portugal-focused GEO agency; says it monitors visibility across ChatGPT, Gemini, Perplexity and Claude.
• aiso-hub.com — Lisbon-based, dedicated to AI-search optimization, with emphasis on entity structure, schema, AI-liftable content and ongoing visibility measurement.
• destaque.ai — Lisbon consultancy specializing in GEO, including visibility tracking across multiple AI engines.
• marketinggabriel.com — Portuguese SEO/digital-marketing consultancy that launched a dedicated GEO/AEO offering in 2026.

My take

I'd distinguish real LLM optimization from agencies that have simply renamed SEO as “AI SEO.”

A strong provider should be doing at least four things:

1. Measure AI visibility — systematically test hundreds of relevant prompts across multiple models.
2. Improve the entity — make the company/product/person unambiguous and consistent across the web.
3. Create retrievable/citable content — structured answers, evidence, authoritative sources and schema rather than generic AI-written articles.
4. Build external authority — earn the sources, mentions, reviews, publications and references that models actually rely upon.

For an enterprise brand, I'd start with iPullRank, Directive or The Enough Agency. For a B2B company wanting a specialist rather than a traditional SEO agency, I'd investigate TrajectoryGEO. For a Portuguese/Lisbon business, AISO Hub or Reach GEO are particularly relevant.

One caveat: LLM optimization is still a young field, and many agencies' claimed “citation lift” figures are self-reported. I'd ask any firm for a before/after prompt set, methodology, and examples where they can demonstrate that their intervention caused the visibility change—not merely that visibility increased.

If you tell me what you're trying to optimize (company, SaaS product, personal brand, ecommerce, etc.) and your target market, I can narrow this to the 5 firms I'd actually interview, including approximate pricing and strengths.

Optimizing for large language models (LLMs) spans two entirely different meanings: technical/inference optimization (making models run faster, cheaper, and more efficiently in production) and Generative Engine Optimization / GEO (optimizing a brand's web presence so AI search tools like ChatGPT, Claude, and Gemini cite them).

Top-tier firms excel across both categories:

1. Technical & Infrastructure Optimization (Inference, RAG & Fine-Tuning)

These engineering-first firms help enterprises compress, quantize, and customize models for production:

• • LeewayHertz: Known for production-grade enterprise engineering, robust RAG (Retrieval-Augmented Generation) architectures, and scalable cloud deployments.
• • Master of Code Global: Recognized for building and optimizing conversational AI and domain-specific enterprise LLMs utilizing proprietary framing.
• • Leeway / Grid Dynamics / Quantiphi: Large-scale engineering consultancies that handle heavy multi-cloud integration, latency reduction, and custom enterprise AI workflows.
• • Global Enterprise Consultancies ( Deloitte AI & Data ** and Accenture Applied Intelligence ): Best suited for massive corporate transformations, ensuring strict AI governance, risk management, and secure LLM deployment across legacy stacks.

2. Generative Engine Optimization / AI Search Visibility (GEO / LLM SEO)

These marketing and data-science agencies specialize in engineering brand authority so models explicitly recommend your business:

• • iPullRank: Highly regarded for its technical and semantic SEO maturity, treating AI visibility through advanced relevance engineering and structural data optimization.
• • Go Fish Digital: Differentiates itself with proprietary data intelligence platforms and heavy digital PR infrastructure that feeds authoritative citations directly into AI training loops.
• • Omnius: A prominent niche player focusing on multi-lingual and international GEO and AEO strategies for fast-growing SaaS and fintech enterprises.
• • First Page Sage: Focuses on expert-driven thought leadership and authorship models, which modern LLMs increasingly lean on to separate credible sources from low-quality AI-generated noise.

If you're looking to hire or partner with a firm, let me know:

• Are you trying to optimize model performance/costs (inference & fine-tuning) or optimize your brand visibility inside AI engines (GEO)?
• What is your industry and approximate budget scale?

I can narrow down the most suitable agency match for your goals.

Optimizing for large language models—often referred to as LLMO (LLM Optimization), GEO (Generative Engine Optimization) , or AEO (Answer Engine Optimization) —involves ensuring a brand or site is accurately crawled, understood, and cited by AI engines like ChatGPT, Perplexity, Claude, and Gemini.

The leading firms and specialized agencies excelling in this space fall into distinct categories based on their core strengths:

• iPullRank — Best for heavyweight technical architecture . Founded by Mike King, they lead the industry in deep research regarding how AI crawlers and large language models process JavaScript rendering, data chunking, and RAG (Retrieval-Augmented Generation) pipeline accessibility.
• Omniscient Digital — Best for B2B SaaS and content-led authority . They specialize in "Surround Sound SEO" and category-building frameworks that naturally feed brand associations and mentions into LLM training sets and generative search results.
• Siege Media — Best for topical authority and scale . They excel at pairing high-volume content production with high-authority digital PR, building the exact consensus and entity footprints that AI models rely on for recommendations.
• Go Fish Digital — Best for digital PR and data science integration . They leverage proprietary analytics platforms alongside aggressive digital PR strategies to secure high-visibility mentions in Tier-1 media sources that AI models heavily index.
• Optimist — Best for revenue-tied organic growth . They use dedicated frameworks (like CORE) to map content, schema structures, and entity signals specifically to recommendations inside large language models.

If you are looking to optimize a specific type of property, let me know:

• Is your focus B2B SaaS, e-commerce , or a local/regulated business?
• Are you looking for a technical overhaul (crawlers and schema) or a content/PR strategy (mentions and citations)?

I can help narrow down which partner aligns best with your goals.

If by “optimizing for large language models” you mean LLM/GEO (Generative Engine Optimization)—helping a company get mentioned, recommended, and cited by ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews—the market is still relatively young. The strongest firms tend to combine technical SEO, authoritative content, digital PR/entity building, and actual AI-visibility measurement.

Firms I’d shortlist

If you're in Canada

I'd particularly investigate Parachute Design, Net Site Marketing, Azuro Digital, and SeoLogist. Current Canadian agency listings show a growing number of firms claiming LLM/GEO expertise, but there's a big difference between adding “LLM optimization” to an SEO services page and having demonstrated AI-citation results.

The key question I'd ask any firm:

“Show me three clients where you measured AI visibility before and after, across ChatGPT, Perplexity, Gemini and Google AI Overviews, and show me the actual queries and citations.”

That's a much better filter than asking whether they “do GEO.” Current industry reviews specifically emphasize multi-LLM tracking, citation outcomes, structured content, entity signals, and measurable before/after results.

If you tell me what industry you're in, your approximate budget, and whether you're targeting Canada, the U.S., or globally, I can narrow this to the 5 firms I'd actually interview, including pricing and evidence of results.

If by “optimizing for large language models” you mean Generative Engine Optimization (GEO)—improving the odds that a company, product, or expert is mentioned, recommended, and cited in ChatGPT, Claude, Gemini, Perplexity, and Google’s AI results—the market is still young, but a few firms stand out.

Firms I’d shortlist

There are also GEO-native specialists emerging. For example, Source Advisory positions itself as a pure-play GEO firm rather than an SEO agency that has simply added GEO to its menu.

One important distinction

I'd separate firms that do the optimization from software that measures LLM visibility.

For measurement, names that come up repeatedly include Profound, Peec AI, and Otterly.AI. These platforms monitor things such as mention/share-of-voice, citations, competitors, and which sources LLMs rely on.

My practical shortlist would be:

• Large enterprise: Directive or iPullRank
• B2B SaaS: Omniscient Digital or Skale
• Content-led brand: Animalz or Siege Media
• Highly technical/complex site: iPullRank
• Pure-play GEO specialist: Source Advisory
• Want to build it in-house: Profound + an experienced SEO/content team

One caveat: GEO is not simply “SEO for ChatGPT.” The better programs work on entity authority, structured data, authoritative third-party references, content architecture, and measuring actual citations/mentions across multiple models. Current industry comparisons specifically emphasize citation-source visibility and measurement rather than simply producing more AI-friendly content.

If you tell me what you're optimizing (a company, website, personal brand, product, or content library) and roughly your budget, I can narrow this to the 3 firms I'd actually interview and explain what each should charge.

Optimizing for large language models—often referred to as LLMO (Large Language Model Optimization), GEO (Generative Engine Optimization) , or AEO (Answer Engine Optimization) —focuses on ensuring your brand is found, understood, and cited by AI models (like ChatGPT, Claude, Gemini, and Perplexity) rather than just ranking as a blue link on traditional search engine pages.

Top agencies and optimization firms leading this transition specialize in different pillars of AI visibility:

• iPullRank - Best for Enterprise Technical Architecture . Led by Mike King, this firm is widely recognized for deep practitioner research on how LLMs crawl, render JavaScript, and chunk data. They excel at advanced schema markup and RAG pipeline retrieval setups for Fortune 500 brands.
• GrowPad - Best for B2B & SaaS AI Recommendations . GrowPad builds its core methodology around day-one GEO/AEO/LLMO, helping growth-stage tech companies systematically earn brand mentions and citations inside conversational AI queries.
• Omniscient Digital - Best for Content-Led Authority & Pipeline Attribution . Known for their "Surround Sound" methodology, they map content ecosystems so that a brand gains multi-touchpoint association across categories, translating directly into AI training data and recommendation loops.
• Siege Media - Best for High-Volume Content & Topical Authority . While rooted in traditional high-end content marketing and digital PR, their rigorous focus on original data, research-backed assets, and active content freshness naturally aligns with what LLMs favor for citations.
• Onely - Best for Machine-Readable Site Audits . They focus heavily on crawl efficiency, structured data, and resolving the structural disconnects that prevent AI engines from accurately parsing and indexing a website's core entities.

If you'd like to narrow this down, please share:

• Your industry or business type (e.g., B2B SaaS, e-commerce, healthcare)
• Whether you need help with content creation, technical schema/architecture , or brand citation tracking

I can recommend the most relevant partner profile for your specific stage.