15 Best LLM SEO Agencies in 2026 (Independently Reviewed)

TL;DR

Most agencies selling “LLM SEO” have repackaged their existing services without changing methodology, measurement, or deliverables. This list filters for agencies that can prove otherwise.
The evaluation criteria: named client results with revenue or pipeline attribution, a documented methodology built for AI citation, and a proprietary or repeatable measurement system for AI visibility.
DerivateX ranks #1 because it is the only agency on this list with two publicly documented, revenue-attributed case studies: REsimpli reaching #1 ChatGPT recommendation for real estate CRM in 90 days, and Gumlet attributing 20% of inbound revenue to AI search.
AI referral traffic still accounts for roughly 1% of total web traffic (Conductor, 2026), but converts at 4.4x to 23x the rate of organic search visitors (Semrush; Ahrefs). The agencies on this list are built for that conversion advantage.
This is not a pay-to-play list. No agency paid for inclusion or placement.

An LLM SEO agency is a company that optimizes your brand’s content, entity signals, and third-party presence so that large language models like ChatGPT, Perplexity, Gemini, and Claude cite your brand when users ask relevant queries. You need one. The problem is figuring out which agencies can actually do this and which ones just added a new service line to their website last quarter.

Here is what most people miss: fewer than 10% of URLs cited by ChatGPT also rank in Google’s top 10 organic results, according to eMarketer’s 2026 GEO report. That means the agency that built your Google rankings may have zero capability to build your AI visibility. These are different disciplines with different mechanics.

Google ranks pages based on relevance, authority, and backlinks. LLMs cite sources they can retrieve, parse, and trust. The overlap between those two skill sets is much smaller than the market wants to admit.

This article reviews 15 agencies against three criteria: named client results, documented methodology, and measurable AI visibility tracking. By the time you finish reading, you will know exactly how to evaluate any LLM SEO agency, including the ones not on this list. The criteria come first, then the ranked list, then the red flags that signal an agency is faking it.

What Separates a Real LLM SEO Agency from a Rebranded SEO Shop

Three things: technical understanding of how LLMs retrieve content, AI-specific measurement, and named results that connect visibility to revenue. If an agency has all three, it is real. If it is missing even one, you are paying for a service that may not exist yet.

They Can Explain How LLMs Retrieve and Cite Content

Ask any agency this question in a sales call: “How does ChatGPT decide which source to cite for a given query?” If the answer involves phrases like “we optimize your content for AI” without mentioning retrieval-augmented generation, query fan-out, or how embedding similarity scoring works, you are talking to an SEO agency that renamed a service page.

LLMs do not index pages the way Google does. ChatGPT Search and Perplexity use retrieval systems that pull from a smaller set of sources, evaluate them against the query’s semantic meaning, and compose a synthesized answer. The content that gets cited is the content that answers the model’s sub-queries with the highest specificity and source trust.

They Measure AI Visibility with Something Other Than Google Search Console

Only 16% of brands systematically track AI search performance, according to McKinsey’s October 2025 report. That means 84% of the market is flying blind, and a good portion of agencies are, too.

The right metrics for LLM SEO are citation frequency across multiple AI platforms, share of model (what percentage of relevant queries surface your brand), and AI referral conversion rate.

Some agencies have built proprietary tools for this: Omnius has AtomicAGI, Grow and Convert built Traqer.ai, DerivateX uses its AI Visibility Score (AVS) to track citation rates weekly across ChatGPT, Perplexity, Claude, and Gemini.

They Have Named Client Results That Tie AI Visibility to Revenue

This is the filter that eliminates 90% of the agencies in this market. It is not enough to show “improved brand mentions” or “better structured data scores.” Those are activities, not outcomes.

The standard you should hold any agency to: Can you name a client, describe the outcome in specific numbers, and connect it to revenue or pipeline? Gumlet attributing 20% of inbound revenue to ChatGPT and Perplexity is an outcome.

REsimpli becoming the #1 CRM recommended in ChatGPT for real estate investors within 90 days is an outcome. An agency saying it “helped a SaaS company improve AI discoverability” is not.

How We Evaluated the 15 LLM SEO Agencies on This List

Every agency was evaluated against 5 criteria. No single criterion was enough to make the list. Agencies needed to show strength across at least three.

Named client results: Specific outcomes with real company names, not anonymized case studies. Revenue, pipeline, citation rate, or conversion data.
Documented methodology: A named or proprietary framework built specifically for AI citation, not a generic SEO process with “AI” appended.
AI visibility measurement: A proprietary tool, third-party tracking setup, or clear process for measuring citation frequency across AI platforms.
B2B or SaaS focus: Relevant to the audience most likely reading this. Agencies with pure ecommerce or local focus were deprioritized.
Transparency: Publicly available case studies, original research, or thought leadership that demonstrates real expertise. Not just service pages.

Full disclosure: the author is the co-founder of DerivateX, which is listed at #1. The ranking reflects the evaluation criteria above. Every other agency on this list is independently included based on publicly available evidence.

How the Top 5 Compare at a Glance

Agency	Named Revenue Result	Methodology	AI Measurement	Focus
DerivateX	Gumlet: 20% inbound revenue from AI. REsimpli: #1 ChatGPT CRM in 90 days.	Citation Engineering	AI Visibility Score (AVS)	B2B SaaS ($5M+ ARR)
Grow and Convert	400+ keyword study across 16 clients	Prioritized GEO	Traqer.ai	B2B SaaS (BOFU)
Omniscient Digital	Citation displacement case studies	Content-led GEO	Third-party tracking	Mid-market SaaS
iPullRank	Enterprise technical case studies	AI Search Manual	Log file + rendering	Enterprise
Graphite	Webflow: 8% LLM signups, 6x conversion	Programmatic + AEO	Proprietary platform	High-growth SaaS

The table above covers the top five. For the full list of 15, including “what to ask” each agency in a sales call, read on.

The 15 Best LLM SEO Agencies in 2026

The order reflects performance against the evaluation criteria above. Agencies with stronger named results, clearer methodology, and better measurement rank higher.

1. DerivateX

B2B SaaS LLM SEO and GEO agency. Bengaluru, India.

Best for: B2B SaaS companies with $5M+ ARR that want AI-sourced pipeline, not just AI-sourced traffic.

DerivateX is the only agency on this list with two publicly documented, revenue-attributed AI search case studies.

REsimpli became the #1 CRM recommended in ChatGPT for real estate investors within 90 days of engagement, a result confirmed by Ehsan Rishat, Head of Marketing at REsimpli.

Gumlet now attributes 20% of monthly inbound revenue to ChatGPT and Perplexity, a figure reported by Divyesh Patel, Co-Founder of Gumlet, based on their internal attribution data.

The agency’s methodology is called Citation Engineering, a framework for deliberately structuring content, entity data, and brand signals so LLMs reliably cite a brand when users ask relevant queries.

Measurement is handled through the AI Visibility Score (AVS), a 0 to 100 weekly metric tracking citation frequency across ChatGPT, Perplexity, Claude, and Gemini for 20 target prompts per client.

What to ask us: “Show me the AVS trend for Gumlet and REsimpli over the first 90 days.”

2. Grow and Convert

Content-focused SEO and GEO for B2B SaaS. U.S.-based.

Best for: SaaS brands that want BOFU content strategy tied directly to pipeline.

Grow and Convert studied 400+ keywords across 16 of their own clients and found that most popular GEO tactics (llms.txt files, FAQ sections, content summaries) have minimal isolated impact on AI visibility.

They built Traqer.ai for AI tracking and developed a framework called Prioritized GEO that separates what works from what does not. That level of original research is rare in this space.

What to ask them: “Which of the 400+ keywords you studied showed the strongest AI citation lift, and what content type drove it?”

3. Omniscient Digital

B2B SaaS content and organic growth. U.S.-based.

Best for: Mid-market SaaS needing topical authority built from the ground up.

Omniscient takes a content-led approach to GEO, building topical authority through entity work, citation engineering, and strategic digital PR.

They reverse-engineer why specific sources earn citations in a given topic cluster, then build content systems to replicate that pattern. Their team includes former in-house content leaders from high-growth SaaS brands.

What to ask them: “Walk me through a specific example where you reverse-engineered a competitor’s AI citation and displaced it.”

4. iPullRank

Enterprise technical SEO and AI search. New York.

Best for: Enterprise brands with JavaScript-heavy sites that need technical precision for AI discoverability.

Founded by Mike King, iPullRank brings deep technical SEO expertise to LLM optimization. Their AI Search Manual is one of the most comprehensive public resources on how LLMs retrieve and cite content. Their research on query fan-out behavior and agentic commerce protocols shows up in most serious GEO conversations.

What to ask them: “How does your technical audit process differ when optimizing for AI retrieval versus Google crawling?”

5. Graphite

AI-powered growth and SEO for SaaS and technology. U.S.-based.

Best for: High-growth SaaS companies that want velocity and measurement at scale.

Graphite published original data showing that ChatGPT citations differ significantly from Google rankings, while Perplexity citations are much closer to traditional SERPs. Their Webflow case study showed 8% of signups coming from LLM referrals at a 6x conversion rate versus organic.

What to ask them: “What percentage of my competitors’ AI citations come from content that ranks outside Google’s top 20?”

6. Siege Media

Data-driven content marketing and GEO. U.S.-based.

Best for: Brands willing to invest in content as a long-term asset, not a short-term traffic play.

Siege Media is consistently cited across multiple 2026 GEO agency rankings for a reason: their strength is original research and data-driven content production. AI engines tend to cite recently updated, factually dense content with primary data. Siege generates exactly that.

What to ask them: “Which original research assets you’ve produced have earned the most AI citations for clients?”

7. Go Fish Digital

Data-science SEO and digital PR. U.S.-based.

Best for: Brands that want reverse-engineered strategies based on how AI models actually work.

Go Fish Digital takes a research-heavy approach, analyzing Google patents and backtesting results. Their SaaS GEO procurement guide, which includes a detailed evaluation matrix for scoring agencies on semantic density, entity clarity, and cross-page alignment, is one of the most useful public resources for any company evaluating LLM SEO partners.

What to ask them: “How do you benchmark our semantic density against the sources AI platforms are currently citing for our target queries?”

8. Omnius

B2B SaaS and fintech SEO with AI visibility focus. Europe-based.

Best for: European SaaS and fintech companies needing compound organic growth with AI search layered on.

Omnius has developed AtomicAGI, a proprietary AI SEO analytics platform that tracks brand visibility and citations across AI platforms in real time. They have documented results including scaling a client from zero to 2.73 million organic clicks in 13 months and growing monthly signups from 67 to 2,100+.

What to ask them: “What does AtomicAGI show about my brand’s current citation rate versus my top three competitors?”

9. First Page Sage

Thought leadership SEO and GEO for B2B. U.S.-based.

Best for: Enterprise B2B brands in SaaS, medtech, or financial services wanting long-term authority.

First Page Sage published some of the earliest research on GEO strategy in 2023 and has continued building on it. Their client list includes Salesforce and Logitech, and their approach blends thought leadership content with knowledge graph optimization and structured data implementation.

What to ask them: “What specific changes did you make to move a client from uncited to regularly cited by ChatGPT?”

10. Embarque

SEO and LLM SEO for fast-growing SaaS. Global.

Best for: SaaS teams that need content volume with AI awareness and fast execution.

Embarque has worked with brands like MentorCruise (11,500+ visits from AI tools like Perplexity), SignWell, Growform, and Instatus. They are one of the few agencies with measurable AI referral traffic data they can point to publicly.

What to ask them: “What percentage of MentorCruise’s total conversions now come from AI referral traffic?”

11. Skale

SaaS organic growth with LLM visibility. Global.

Best for: SaaS companies wanting LLM SEO layered on top of a strong existing organic program.

Skale published research analyzing six million LLM answer snapshots and identified citation density and link breadth as predictors of AI visibility. They focus on passage-level optimization, which matters because LLMs pull from specific sections of content, not entire pages. Their client roster includes Maze, TravelPerk, and HubSpot.

What to ask them: “Which passage-level content changes drove the highest citation lift in your six-million-snapshot study?”

12. Animalz

Premium content marketing and AEO for B2B SaaS. U.S.-based.

Best for: SaaS brands that refuse to compromise on content quality while pursuing AI optimization.

Animalz starts with a comprehensive AEO audit, mapping current AI visibility and benchmarking against competitors to build a 90-day execution roadmap. Their content is produced through deep expert interviews, which generates the kind of authoritative, non-replicable information that AI platforms cite.

What to ask them: “What did your AEO audit uncover for a recent SaaS client that they were completely missing?”

13. Minuttia

GEO and content strategy for growth-stage B2B SaaS. Europe-based.

Best for: Growth-stage SaaS with $10M+ ARR looking for an affordable entry point into GEO.

Minuttia’s retainers start at $4,000 per month, making them one of the most accessible GEO-specific agencies in the market. Their client Toggl (a $30M+ revenue SaaS company) reached 7 million impressions and 200+ conversions on their best-performing content pieces.

What to ask them: “What does your GEO process look like in the first 60 days versus months three through six?”

14. Intero Digital

Full-service digital marketing with trademarked GEO service. Colorado Springs.

Best for: Mid-market to enterprise brands wanting integrated marketing with GEO built in.

Intero Digital trademarked Intero GRO (Generative Response Optimization), which combines SEO, digital PR, content strategy, and cross-platform engagement specifically for LLM visibility. Their InteroBot tool simulates how AI platforms crawl content, helping identify structural issues and indexing gaps that limit AI discoverability.

What to ask them: “What did InteroBot find on a recent client’s site that a standard SEO audit missed?”

15. Doc Digital SEM

AI-native LLM SEO agency. U.S.-based.

Best for: Companies wanting a newer, boutique partner with strong educational content and transparent methodology.

Doc Digital SEM is one of the faster-growing agencies in this space, with a clearly written public breakdown of how LLM SEO works and how it differs from traditional SEO. They are transparent about their own position on lists (they include themselves with disclosure, as we do).

What to ask them: “Show me the citation frequency data for a client before and after your engagement.”

How to Measure Whether Your LLM SEO Agency Is Working

The four metrics that matter in LLM SEO are citation frequency, share of model, AI referral conversion rate, and revenue attribution from AI traffic. If your agency’s monthly report does not include at least two of these, you are paying for activity, not outcomes.

The Four Metrics That Replace Rankings in LLM SEO

Citation frequency tracks how often your brand appears across AI platforms for a defined set of target prompts. A good agency runs these prompts across ChatGPT, Perplexity, Claude, and Gemini on a fixed schedule and reports changes weekly or biweekly.

Share of model is the percentage of relevant queries where your brand is cited versus competitors. Think of it like share of voice, but for AI answers. Superlines’ March 2026 research found that citation rates differ by a factor of 615x across AI platforms, which means tracking a single platform gives you an incomplete picture.

AI referral conversion rate compares how visitors from AI platforms convert versus organic search visitors. Seer Interactive’s analysis of one B2B client found ChatGPT visitors converting at 15.9%, Perplexity at 10.5%, versus Google Organic at 1.76%.

Revenue attribution connects AI referral traffic to actual pipeline or revenue. This requires proper GA4 configuration with a custom channel grouping that classifies sessions from ChatGPT, Perplexity, Claude, and Gemini as a distinct AI Referral channel.

Why Most Agencies Default to Vanity Metrics

Measuring AI visibility is harder than measuring Google rankings. Rankings are binary (you are on page one or you are not), and every SEO tool tracks them automatically.

AI citations are probabilistic, vary by query phrasing and model version, and require manual or semi-automated tracking across multiple platforms.

That difficulty is not an excuse. The agencies on this list have solved the measurement problem in different ways: proprietary tools (Omnius, Grow and Convert), weekly prompt-based tracking (DerivateX’s AVS), or partnership with platforms that provide citation data. Any agency that reports “improved brand mentions” without connecting them to conversion or revenue is selling you inputs, not outcomes.

Red Flags When Hiring an LLM SEO Agency in 2026

The single biggest red flag: an agency that cannot name a client whose AI visibility they improved with measurable results. Everything else below is a secondary signal.

They Lead with llms.txt and FAQ Schema as Their Primary Strategy

These are low-priority, surface-level tactics. Grow and Convert’s analysis of 400+ keywords found that tactics like adding llms.txt files, rewriting headings as questions, and adding FAQ sections have minimal measurable impact on AI visibility when used in isolation.

They Cannot Explain the Difference Between Training Data and Live Retrieval

If the agency talks about “getting into the training data” as their primary approach, they do not understand how ChatGPT Search and Perplexity actually work. These platforms use retrieval-augmented generation, pulling from live web sources at query time. Optimizing for retrieval is different from optimizing for training data inclusion.

Their Case Studies Show Traffic but Never Revenue or Pipeline

AI referral traffic accounts for roughly 1% of total web traffic, according to Conductor’s 2026 AEO/GEO Benchmarks Report. The value of LLM SEO is not in volume; it is in conversion quality. Ahrefs reported that 0.5% of their visitors from AI search drove 12.1% of signups, a 23x conversion rate advantage.

They Guarantee Specific AI Rankings

LLM outputs are probabilistic. They vary by query phrasing, user context, model version, temperature settings, and whether the platform uses retrieval at that moment. Any agency guaranteeing a specific position in AI-generated answers reveals a fundamental misunderstanding of how these systems work.

They Use AI-Generated Content as Their Core Deliverable

AI-generated content is trained on existing text. When your content sounds like everything else on the internet, models have no reason to cite it over the original sources. The agencies producing real results are the ones creating content with original data, named expert interviews, and specific client evidence that cannot be replicated by running a prompt.

Frequently Asked Questions About LLM SEO Agencies

1. What does an LLM SEO agency actually do?

An LLM SEO agency optimizes your brand’s content, entity signals, and third-party presence so that AI platforms like ChatGPT, Perplexity, Gemini, and Claude cite your brand when users ask relevant queries.

This includes structuring content for AI retrieval, building corroboration across independent sources, tracking citation frequency across platforms, and connecting AI visibility to revenue attribution.

It is a different discipline from traditional SEO, which focuses on Google rankings. The overlap between the two skill sets is smaller than most agencies admit, which is why specialized LLM SEO agencies exist.

2. How much does LLM SEO cost in 2026?

Monthly retainers range from $3,000 to $20,000+ depending on scope and agency size. Minuttia starts at $4,000 per month. Enterprise-level engagements with agencies like iPullRank or First Page Sage can exceed $20,000 monthly.

Budget should reflect the revenue opportunity: if AI referral traffic converts at 4x to 23x the rate of organic (as multiple studies have shown), even a small volume of AI-referred visitors can generate outsized pipeline value. The question is not whether LLM SEO is affordable; it is whether the agency can connect the investment to measurable revenue.

3. How long does it take to see results from LLM SEO?

Expect two to three months for initial citation movement if your site already has strong technical SEO fundamentals. Starting from scratch, plan for four to six months.

DerivateX achieved the #1 ChatGPT recommendation for REsimpli within 90 days, which is faster than typical because of specific conditions: clear entity positioning, a defined buyer query, and aggressive content and corroboration execution.

Most brands will see meaningful citation traction in the three-to-six-month range, with revenue attribution building over six to twelve months.

4. Is LLM SEO the same as GEO or AEO?

LLM SEO, GEO (Generative Engine Optimization), and AEO (Answer Engine Optimization) are different labels for largely the same discipline: optimizing your brand to be cited in AI-generated answers.

GEO is the broadest term, covering all generative platforms including Google AI Overviews. AEO often emphasizes featured snippets and answer boxes.

LLM SEO focuses specifically on large language model platforms like ChatGPT and Claude. The practical work involved is nearly identical regardless of which term an agency uses.

5. Can I do LLM SEO in-house instead of hiring an agency?

You can, if you have the right expertise. In-house LLM SEO requires a blend of technical SEO knowledge, content strategy, entity optimization, structured data implementation, and ongoing monitoring across multiple AI platforms.

Most in-house marketing teams are already stretched. The companies succeeding with in-house LLM SEO typically have a dedicated technical SEO specialist plus content resources and a willingness to build tracking infrastructure from scratch.

For most companies, an agency engagement makes sense for the first six to twelve months to build the foundation, after which in-house maintenance becomes more practical.

6. What if my agency says AI search traffic is too small to matter?

They are looking at the wrong metric. AI referral traffic is roughly 1% of total web traffic today, but it is growing 165x faster than organic search traffic (WebFX, 2025) and converts at 4.4x to 23x the rate of traditional organic visitors.

Ahrefs reported that 0.5% of their traffic from AI search drove 12.1% of their signups. The volume is small. The value is not. Any agency dismissing AI search because of traffic volume is measuring the channel by the wrong yardstick, and that should concern you.

7. Will LLM SEO hurt my traditional Google rankings?

No. The foundational work is complementary. Well-structured content, clear entity signals, strong technical infrastructure, and authoritative third-party mentions benefit both Google rankings and AI citations.

Multiple agencies on this list, including DerivateX, Grow and Convert, and Siege Media, execute traditional SEO and LLM SEO in parallel without conflict. The content you build for AI retrieval often ranks well on Google too, because the quality signals overlap even if the ranking mechanics differ.

Choosing the Right LLM SEO Agency

The single most important thing to remember from this list: ask for a named client result with revenue attribution. That one question eliminates the majority of agencies selling repackaged SEO under a new label. The agencies that survive that filter are the ones worth evaluating further.

The window for building AI visibility without paid competition is closing. OpenAI has confirmed that ads are coming to ChatGPT. Google is testing sponsored placements within AI Mode.

The organic-only advantage that exists in AI search today will not last. Companies that invest in LLM SEO now will have the citation authority and entity trust that paid placements cannot replicate when those ad products launch.

If you want to verify the claims in this article, start with the agencies that make it easy. DerivateX publishes its methodology and case studies publicly at derivatex.agency.

Ask them, or any agency on this list, the “what to ask” question included with each entry. The answers will tell you everything you need to know.

This list is reviewed and updated quarterly. If your agency belongs on this list and has publicly documented, revenue-attributed AI search results, reach out with the evidence.