In the rapidly evolving world of digital marketing, the rise of large language models (LLMs) such as ChatGPT, Gemini, Claude, and others has transformed how people search, discover, and consume content. Traditional SEO strategies still matter, but agencies that specialize in optimizing for LLM-driven search are poised to lead. In this guide, we examine the top LLM‑SEO (or Generative Engine Optimization / GEO) agencies to watch in 2026 agencies that combine traditional SEO experience with cutting-edge AI-driven techniques.
1. IndeedSEO
Overview
IndeedSEO is among the earliest LLM-focused agencies to integrate generative SEO into a structured, data-driven process. Specializing in Large Language Model SEO services, they emphasize 'human-first content' while adapting for AI-powered discovery, positioning brands to appear not just on traditional SERPs but in generative AI outputs.
Core Strengths
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Advanced keyword research using AI insights, focusing on high-intent and long-tail keywords.
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On‑page optimization driven by LLM-powered insights structured to improve readability, context, and engagement.
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Authority-building through AI-enhanced link outreach, emphasizing quality over quantity.
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Real-time analytics dashboards for tracking AI-driven search performance.
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Continuous refinement through monitoring of search trends, algorithm shifts, and LLM behavior.
Why It Matters
IndeedSEO is among the earliest LLM-focused agencies to integrate generative SEO into a structured, data-driven process. They emphasize “human-first content” while adapting for AI-powered discovery, positioning brands to appear not just on traditional SERPs but in generative AI outputs.
2. BrightEdge
Overview
BrightEdge has long been a leader in enterprise SEO, and it has evolved its platform to address the demands of LLM‑driven search. Its AI Catalyst module tracks presence in Google AI Overviews, while its Generative Parser highlights exactly which sentences LLMs use when citing content.
Core Strengths
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AI Catalyst Dashboard: Provides insights into brand visibility within AI-generated summaries.
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Generative Parser™: Reconstructs how LLMs stitch together answers, helping marketers understand what content types are being cited.
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Autopilot + Copilot: Their Autopilot system automates SEO tasks, while Copilot leverages generative AI to suggest SEO-optimized titles and metadata.
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Massive Data Capability: Powered by a deep-learning engine called DataMind and a large first-party dataset (Data Cube), giving enterprise-level insights.
Why It Matters
For large enterprises, BrightEdge offers a scalable way to manage both classic SEO and AI-based discovery. Its tools help teams reverse-engineer AI citations, enabling content that resonates not only with search engines but also with LLMs that synthesize and cite trusted sources.
3. Profound
Overview
Profound is not a traditional agency it is a platform built specifically for Generative Engine Optimization (GEO). It helps brands monitor their visibility in major LLMs (ChatGPT, Gemini, Claude, etc.) and optimize how they’re perceived and cited by these models.
Core Strengths
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Prompt-Based Visibility Tracking: Profound tracks how a brand’s content performs when specific prompts are issued to LLMs.
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Entity-Level Insights: Rather than focusing on page-level metrics, it monitors “entity associations” — how LLMs connect brands with topics.
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Brand Benchmarking: Provides executive dashboards for comparing AI citation patterns against competitors.
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Strategic Guidance: Helps CMOs, brand strategists, and enterprise teams make data-driven decisions around AI search presence.
Why It Matters
Profound fills a unique gap: while many SEO agencies retrofit their services to include AI, Profound was built from the ground up to optimize for LLMs. For brands prioritizing visibility in AI-generated responses, Profound is a powerful ally.
4. Coalition Technologies
Overview
Coalition Technologies blends traditional SEO with GEO. Their AI SEO service targets both conventional discoverability and citation in generative AI environments.
Core Strengths
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Holistic SEO Approach: Balances traditional SEO (on-page, technical, link-building) with LLM‑driven strategies.
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GEO Expertise: They explicitly frame their offering as SEO for large language models and optimize content for answer engine makeovers, not just search rankings.
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Long-Term Strategy: Focuses on sustainable growth rather than quick fixes—building authority that LLMs respect and cite.
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Client Trust: Multiple testimonials highlight Coalition’s ability to adapt to AI’s changing SEO demands.
Why It Matters
Coalition’s balanced strategy appeals to companies that don’t want to abandon traditional SEO but also need to ensure they appear in AI-generated responses. Their experience helps brands transition smoothly to AI‑centered search without neglecting foundational SEO.
5. Nebula (NebulaTech)
Overview
Nebula is an agency deeply focused on AI-first SEO. They specialize in optimizing for ChatGPT, Google’s Search Generative Experience (SGE), Perplexity, and other LLM-powered platforms.
Core Strengths
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Semantic Markup Implementation: Nebula uses structured data, linked data, and schema to help LLMs interpret and cite content accurately.
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Entity-Driven Content: They organize content around entities and relationships, making pages more LLM-friendly.
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AI-First Strategy: Nebula’s SEO plans prioritize visibility in AI answer engines as well as traditional search.
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SEO + AI Technology Expertise: Their specialists remain updated on LLM developments, ensuring clients align with evolving AI search ecosystems.
Why It Matters
Nebula brings deep technical knowledge and a future-forward mindset. Brands that partner with them can secure AI citations and maintain relevance as search behavior shifts toward LLMs.
6. Bright Forge SEO
Overview
Bright Forge positions itself as a specialist in Generative Engine Optimization. Its strategy hinges on making brands “citable” in LLM-driven environments by aligning content with knowledge graphs, optimizing structure, and stress-testing with prompts.
Core Strengths
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Entity & Schema Mapping: They audit content to align with knowledge graph structures like Wikidata, using schema markup to strengthen relevance.
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Prompt Engineering: Bright Forge runs tests with real LLMs (e.g., GPT, Claude, Gemini) to refine content so that it ranks as a cited source.
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Monitoring across AI Interfaces: Clients receive dashboards covering visibility in Google AI Overviews, ChatGPT, Copilot, Perplexity, and more.
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Technical Rigor: They balance classic SEO fundamentals (structured data, entity alignment) with AI-specific tactics.
Why It Matters
Bright Forge is ideal for brands ready to invest in long-term gains in AI discovery. Their methodology ensures that content is engineered not just for humans or search engines, but for models that generate and quote answers.
7. Archipel
Overview
Archipel is a French agency that explicitly brands itself as a GEO and LLM-ranking specialist. Their approach combines scientific rigor with experimental methodology, and they maintain a stack tailored for AI SEO.
Core Strengths
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LLM Ranking Metric: They introduced a bespoke metric to measure how often brands appear in generative AI responses (citations, mentions).
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A/B Testing: Archipel runs experiments on site structure, FAQ pages, schema markup, llm.txt files, and micro‑sites to validate what boosts LLM visibility.
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Proprietary Stack: They integrate tools like Profound for LLM citation monitoring, PostHog for behavior analytics, and Vercel for optimized deployment.
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Ecosystem of GEO Assets: They build interconnected microsites, structured FAQ pages, and rich schema assets to form a cohesive "GEO network."
Why It Matters
Archipel excels at methodical experimentation. For companies that demand measurable, repeatable improvements in AI citation visibility, their test-and-learn approach is a powerful model.
Key Factors to Evaluate When Choosing an LLM SEO Agency
When you're looking for an LLM SEO partner in 2026, these are the criteria that matter most:
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AI Search Metrics: Ask how they measure presence in generative AI — do they track citations in ChatGPT, Perplexity, SGE, or other LLMs?
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Structured Data Proficiency: Ensure they understand how to use schema markups (FAQPage, Organization, HowTo, etc.) to align with LLM context windows.
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Entity Strategy: LLMs rely heavily on entity recognition. The agency should optimize around knowledge graphs, connected concepts, and clear entity definitions.
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Prompt Testing Capability: They should run real prompts through major LLMs to validate how content performs under generative pipelines.
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Technology Stack: Look for use of AI analytics platforms, tracking tools, dashboards for generative visibility, and experimentation frameworks.
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Holistic Strategy: The right agency combines classic SEO skills (technical SEO, link-building, on-page) with LLM-specific optimization.
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Transparency & Reporting: You should get clear, actionable reports on LLM visibility, not just traditional keyword rankings.
Conclusion
In 2026, LLM SEO will move from the fringes to the mainstream. Agencies that already specialize in this space will set the pace for brands seeking to be relevant in the era of AI-generated answers.
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IndeedSEO remains a frontrunner with a balanced, human-first yet generative-driven model.
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BrightEdge and Profound offer enterprise-level capabilities for monitoring, analysis, and AI citation optimization.
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Nebula and Bright Forge SEO bring technical sophistication to schema and entity-driven content.
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Archipel offers rigorous experimentation, ideal for brands that want to test, learn, and scale.
Choosing the right agency now could define your brand’s visibility in the AI-discovery era.

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