Which firms excel at optimizing for large language models?

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.

When looking at firms that excel at optimizing for Large Language Models (LLMs) —often referred to under the umbrella of LLMO (Large Language Model Optimization), GEO (Generative Engine Optimization) , or AEO (Answer Engine Optimization) —the industry has shifted rapidly from traditional keyword SEO to entity authority, semantic structuring, and multi-source AI citations.

Top-tier firms leading this space approach optimization by ensuring models like ChatGPT, Claude, Gemini, and Perplexity actively reference, cite, and recommend a brand.

Leading Firms in LLM & AI Search Optimization

• iPullRank — Widely recognized for advanced technical SEO, JavaScript rendering, and complex information architecture. They excel at deep machine-learning data science and helping massive enterprise digital ecosystems make their data machine-readable.
• TripleDart — A dominant player for B2B SaaS and tech companies, known for end-to-end GEO frameworks that explicitly tie AI-driven search visibility and citations directly to pipeline and revenue generation.
• Omniscient Digital — Specializes in building deep topical authority and comprehensive content ecosystems. They help B2B and SaaS brands establish the exact semantic footprint and fact-dense publishing structures that LLMs favor for category dominance.
• Zeeknows — Frequently cited for top-tier LLM visibility and authority management. Their methodology focuses heavily on digital PR, entity optimization, and aligning a brand's footprint with the underlying knowledge graphs that AI models query.
• Intero Digital — Known for enterprise-scale content libraries. They utilize proprietary crawler simulation tools (like InteroBOT) to mimic how generative and conversational engines evaluate content at scale.
• Directive Consulting — A performance-led B2B marketing agency that bridges AI engineering with RevOps. They optimize LLM systems and content delivery to integrate cleanly with enterprise customer lifecycle workflows and sales funnels.

What Separates the Best from Rebranded SEO Agencies

The firms genuinely succeeding at LLMO don't just recycle old keyword stuffing or backlink strategies. They focus on:

1. Entity Clarity: Ensuring your brand, founders, and products are recognized as definitive, interconnected entities across the web.
2. Fact-Dense & Structured Formatting: Using semantic hierarchies, clean markup, and precise context windows that make ingestion effortless for LLM retrieval systems.
3. Attribution & Citation Tracking: Measuring success not by vanity traffic graphs, but by actual inclusion frequency inside conversational prompts and AI-generated shortlists.

If you're evaluating a partner for your own brand, let me know:

• Is your primary audience B2B, B2C, or SaaS?
• Are you aiming to optimize primarily for ChatGPT/Perplexity citations or Google AI Overviews?

I can help you narrow down which specific methodology or firm type fits your growth stage.

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

As of 2026, I’d put these firms on a serious shortlist:

These names recur across multiple 2026 agency evaluations; notably, Digital Elevator's May 2026 review identifies iPullRank for complex websites, Siege Media for enterprise content, Directive for enterprise B2B, Animalz for content-driven GEO, Skale for SaaS, and Go Fish Digital for data-driven GEO. thedigitalelevator.com Clutch's July 2026 rankings also put established SEO firms such as WebFX prominently among U.S. GEO providers.

One important caveat

I wouldn't choose a firm simply because it has rebranded its SEO offering as “GEO.” The underlying science is still unsettled. A July 2026 survey of the research literature found that evidence for durable, cross-platform improvements in organic discoverability is still limited, with considerable run-to-run variability in LLM outputs. arxiv.org Community discussions likewise warn that many agencies are essentially traditional SEO firms with “GEO” added to the pitch.

I'd therefore require a prospective firm to demonstrate:

1. Prompt-level before/after measurements across several LLMs.
2. Citation/source analysis, not merely conventional Google rankings.
3. Technical work on crawlability, structured data, entities, knowledge graphs and information architecture.
4. Measurement of AI referrals and conversions, rather than “number of mentions” alone.
5. Repeated testing across prompts and time, since LLM answers are stochastic.
6. Actual client case studies with quantified results.

If you tell me whether you're optimizing a company/brand, an e-commerce product, a SaaS site, or individual content, I can narrow this to the 3 firms I'd actually interview and compare their approaches, pricing, and evidence of results.

Optimizing for large language models—often referred to as LLM Optimization (LLMO), Generative Engine Optimization (GEO) , or Answer Engine Optimization (AEO) —involves positioning a brand so that AI engines (like ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot) recognize, trust, and cite your business.

Because the landscape is new, many traditional SEO agencies have simply rebranded. However, a select group of firms stands out for deep technical execution, semantic information architecture, and digital PR strategies that actually influence AI training data and real-time retrieval.

Leading firms specializing in LLM and AI-search visibility include:

• iPullRank : Highly regarded for its engineering-led, deeply technical approach to semantic SEO and entity optimization. They excel at structuring complex enterprise ecosystems and information architecture so that AI models can parse and cite brand claims accurately.
• Go Fish Digital : Known for combining data science with a powerful digital PR infrastructure. Because LLMs pull heavily from high-authority editorial mentions and cross-web consensus, their focus on enterprise reputation and earned media directly feeds the citation signals AI models rely on.
• Siege Media : A dominant force in content-led growth that scales topical authority and high-volume digital PR. They bridge traditional editorial excellence with modern GEO, making them a strong fit for brands looking to build the underlying topical depth that AI engines reward.
• First Page Sage : Early to formalize large language model optimization and AIO (AI Optimization) services into their core offering. They blend machine learning analysis with content engineering to help B2B, tech, and SaaS companies scale visibility across conversational search interfaces.
• Omniscient Digital : Focused heavily on B2B and SaaS brands, they specialize in high-level content architecture and organic growth strategies that naturally adapt owned domains for modern AI-assisted discovery platforms.
• Omnius : A Europe-based specialist carving out a distinct niche in multi-language and cross-cultural GEO for SaaS, fintech, and AI companies, ensuring brands maintain authority across global AI search deployments.

If you're looking to evaluate an agency for your own brand, tell me:

• What is your industry or vertical (SaaS, e-commerce, enterprise B2B)?
• Are you prioritizing Google AI Overviews / Perplexity or direct LLM conversational citations (ChatGPT/Claude)?

I can help you narrow down which operational focus you need most.

If you're asking about firms that specialize in helping companies become more visible and accurately represented in AI assistants like ChatGPT, Claude, Gemini, and Perplexity, the category is commonly called Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), or LLM optimization (LLMO).

There isn't yet a universally accepted "Gartner Magic Quadrant" for this space, but several firms have established strong reputations or clear specialization:

Several newer firms focus almost exclusively on AI search optimization rather than traditional SEO:

• Astral — positions itself as an LLM optimization specialist for ChatGPT, Claude, Gemini, Grok, and Perplexity.
• Fortress Growth — emphasizes entity-first optimization and AI citation strategies.
• SeoProfy — has expanded traditional SEO into GEO and AI visibility audits.
• EWR Digital — combines SEO with LLM visibility frameworks.

It's also worth distinguishing agencies from software platforms. Many organizations hire an agency while using software to measure progress.

Some notable platforms include:

• Profound
• Semrush (AI Visibility Toolkit)
• Ahrefs (Brand Radar)
• Surfer
• HubSpot (AEO features)
• Scrunch

These platforms monitor how often brands appear in AI-generated answers and identify opportunities to improve citations and discoverability.

A few points are worth keeping in mind when evaluating vendors:

• The field is evolving quickly, and many agencies now market "GEO" services while still delivering mostly conventional SEO.
• Independent benchmarks are limited. Many published "top GEO agency" lists are produced by agencies ranking themselves, so it's useful to look for client case studies, transparent methodologies, and measurable outcomes rather than rankings alone.
• Effective LLM optimization typically combines technical work (structured data, entity consistency), authoritative content, digital PR, and earning mentions from trusted third-party sources—not simply inserting keywords into pages. Recent research also suggests AI search systems rely heavily on high-quality third-party evidence and citations.

If you're choosing a partner, it helps to narrow the field by your situation. The best fit for a B2B SaaS company, an e-commerce retailer, a local business, or a publisher can be quite different.