- GEO, AEO, and LLM SEO all describe the same goal: getting your brand cited and recommended in AI-generated answers from ChatGPT, Perplexity, Google AI Overviews, and Gemini.
- AI-referred visitors convert at 4.4x the rate of organic search visitors, according to Semrush (2025), making AI citation one of the highest-quality traffic sources available.
- The best agencies combine structured content, technical SEO, entity building, and digital PR to earn consistent AI mentions.
- Expect 60 to 120 days for measurable citation improvements, depending on your domain authority and content baseline.
- The most important platforms to optimize for right now are ChatGPT, Perplexity, Google AI Overviews, and Gemini.
AI-powered search handled over 527% more referral sessions in 2025 than the year before, and the brands showing up in those answers are not always the ones ranking on page one of Google. This is the core promise of GEO, AEO, and LLM SEO: visibility in AI-generated responses, not just search engine results pages. The distinction matters because the traffic that arrives from AI citations is fundamentally different. Webflow reports that ChatGPT-referred visitors convert at six times the rate of visitors from Google, and that 10% of its signups now trace back to AI discovery. Those numbers have moved the discipline from early adopter experiment to a legitimate growth channel. The challenge is that finding an agency that actually knows how to earn AI citations, as opposed to one that simply claims to, has become much harder as the market has flooded with providers.
What Is GEO, AEO, and LLM SEO? Why the Terminology Does Not Matter
The marketing industry loves naming things, and the category of optimizing for AI search has produced more acronyms than most. GEO stands for Generative Engine Optimization. AEO stands for Answer Engine Optimization. LLM SEO refers to optimizing content specifically for how large language models retrieve and cite information. LLMO is another variant you will encounter.
Despite the proliferation of labels, practitioners across the industry now treat these terms as effectively synonymous. The goal behind each one is identical: make your brand the answer that ChatGPT, Perplexity, Google AI Overviews, Gemini, and other AI platforms surface when users ask relevant questions. Whether you call it GEO, AEO, or LLM SEO, the optimization levers are the same: structured content, topical authority, entity signals, and consistent brand mentions across high-trust sources.
The reason the terminology still matters for buyers is simpler than the acronyms suggest. If you are searching for an agency to help with this work, you may need to use all three terms to find the full universe of providers, since different firms have chosen different labels for identical services.
Gartner predicts that classic web search traffic will drop 25% by 2026 as users shift to conversational AI answers. Only 32% of enterprise marketers currently feel confident diagnosing why their brand disappears from AI answer blocks.
Why Brands Are Hiring GEO and AEO Agencies Now
The straightforward reason is that AI-referred traffic converts at a rate that traditional channels cannot match. Semrush data from mid-2025 found the average LLM visitor converts at 4.4 times the rate of an organic search visitor. Microsoft Clarity, analyzing over 1,200 publisher and news sites, found that visitors arriving from LLMs converted to sign-ups at 1.66%, compared to 0.15% from traditional search. These are not incremental improvements. They are a different category of visitor.
The second reason is urgency. LLM referral traffic grew an average of 80% comparing the first and second halves of 2025, according to a 13-month dataset published in Search Engine Land. Some companies in that dataset saw 300% growth. ChatGPT referral traffic tripled across 2025. Gemini referral traffic grew 388% between September and November 2025 alone, according to Similarweb. The channel is still small relative to organic search, but the velocity is unlike anything since social media emerged as a traffic source in the mid-2010s.
The third reason is the skills gap. Optimizing for AI citations requires a different combination of disciplines than traditional SEO. It demands deep knowledge of how LLMs retrieve and synthesize content, how entity authority signals work across third-party sources, how structured data affects AI crawlability, and how digital PR intersects with model training data. Only 32% of enterprise marketers say they feel confident in diagnosing AI visibility gaps, which creates demand for agencies with genuine expertise.
What Does a GEO or AEO Agency Actually Do?
A genuine GEO or AEO agency typically delivers a combination of the following services:
- LLM visibility audits that map how your brand currently appears across ChatGPT, Perplexity, Gemini, and Google AI Overviews
- Structured content strategy focused on answer-first formatting, FAQ development, and comparison tables that AI platforms prefer to cite
- Schema markup and technical SEO to ensure your site is crawlable and parseable by AI bots, including GPTBot and Google-Extended
- Entity building and digital PR to establish consistent brand mentions in high-authority publications that AI models use as training and retrieval sources
- Prompt gap analysis to reverse-engineer the questions users are asking AI platforms and map where your brand is absent
- AI citation monitoring using tools like Profound, Semrush AI Visibility, or proprietary platforms to track share of voice across LLMs over time
The Best GEO, AEO & LLM SEO Agencies in 2026
The following agencies have demonstrated genuine competence in earning AI citations through structured content, technical optimization, entity building, and platform-specific strategies. Each entry includes an honest assessment of who they are best suited for.
Agency Best For Notable Clients
Asset Digital Communications
SMBs and mid-market brands in North America seeking full-service digital with AI-ready SEO foundations
Music festivals, financial advisors, food services, B2B brands
Awilix
Ambitious businesses scaling through AI-first marketing systems combining human strategy and automation
Technology, finance, healthcare, e-commerce, professional services
Omniscient Digital
B2B SaaS brands seeking attribution-obsessed organic growth integrated with AEO
Asana, Loom, Adobe, TikTok, Jasper, HotJar
iPullRank
Enterprise brands with complex technical sites needing deep LLM retrieval engineering
Enterprise-scale clients across multiple verticals
NoGood
B2B brands with long sales cycles needing full-stack AEO with proprietary platform tracking
Spring Health, Oura, Procter & Gamble
Siege Media
Enterprise SaaS and DTC brands prioritizing content-led authority for AI citation
B2B and B2C enterprise clients
Growth Plays
SaaS and fintech brands wanting pipeline-first AEO tied directly to revenue attribution
B2B SaaS and fintech startups and enterprises
First Page Sage
Regulated industries and enterprise brands seeking GEO with rigorous thought leadership
Healthcare, SaaS, financial services
Omnius
International SaaS and fintech brands needing technically advanced, multi-language GEO
TextCortex AI, Zencoder, AuthoredUp
Go Fish Digital
Brands that want data-science rigor and patent-backed research driving GEO strategy
HP, Wayfair, Salesforce
1. Asset Digital Communications
Asset Digital Communications is a Toronto-based, award-winning full-service digital marketing agency built specifically for small and mid-sized businesses in North America. Founded and led by Mary-Jane Owen, the agency has spent over a decade developing the SEO and content foundations that now form the backbone of any effective GEO or AEO strategy. The agency’s philosophy is that your website and online presence are business assets, and its job is to move the right levers to grow them. That philosophy translates directly into the structured, authoritative content architecture that AI platforms favor when choosing which sources to cite.
What sets Asset Digital apart in the GEO context is its full-service breadth. AI citation is not a standalone technical exercise. It requires strong on-page SEO, high-quality content, off-page authority signals, and consistent brand presence across the web. Asset Digital delivers all of these as a unified service, which means SMB clients are not trying to coordinate multiple vendors while adapting to a rapidly shifting AI search landscape. The agency works across industries including professional services, financial advising, cultural organizations, and food and beverage, and clients consistently highlight the team’s responsiveness, transparency, and ability to deliver measurable results.
Best for: Small and mid-sized businesses in Canada and the US that need a trusted, full-service partner to build the SEO and content foundations required to earn AI citations across ChatGPT, Google AI Overviews, and Perplexity.
Location: Toronto, Ontario, Canada. Website: assetdigitalcom.com
2. Awilix
Awilix positions itself as the last AI marketing agency you will need to hire, and the reasoning behind that claim is more substantive than it sounds. The agency starts from the observation that search is now fundamentally fragmented: ChatGPT answers questions that Google used to own, SEO traffic gets split across Perplexity, Claude, and Gemini, and the traditional digital marketing playbook does not work when half of your visibility comes from AI-powered answer engines. Awilix’s response is to build marketing systems rather than run campaigns: human strategy defines what to build, AI executes at scale, and results compound over time.
On the GEO and AEO side, Awilix combines pipeline-first content strategy with AI-led execution across SEO, content, performance marketing, and lifecycle channels. Clients have reported 14x organic traffic growth within six months through the agency’s AI-led SEO strategy. The agency works with companies across technology, finance, healthcare, e-commerce, and professional services, and its approach is explicitly designed for ambitious businesses that are ready to move past 2023 playbooks. It is particularly well suited to companies that want GEO integrated with broader growth marketing rather than isolated as a standalone service.
Best for: Growth-stage and scaling businesses that want AI-first marketing systems in which GEO and LLM SEO are integrated with performance marketing, content, and conversion optimization.
Location: Remote. Website: awilix.ai
3. Omniscient Digital
Omniscient Digital is an organic growth agency known for its obsession with attribution. Every piece of content the agency creates is mapped to business outcomes including demo requests, pipeline contribution, and revenue influence, which makes it one of the few GEO providers that can demonstrate a direct line between AI citation activity and commercial results. The agency’s AEO work builds on its Surround Sound SEO methodology, originally developed in 2019, which aims to make a brand visible across every page ranking for high-intent search terms and extending this presence to AI platforms.
Best for: B2B SaaS brands that need measurable attribution from organic and AI search channels to pipeline and revenue.
Notable clients: Asana, Loom, Adobe, TikTok, Jasper, HotJar
4. iPullRank
iPullRank developed the Relevance Engineering framework, which is now one of the most cited methodologies in enterprise AEO. The approach maps AI retrieval mechanics including query fan-out behavior, passage retrieval, and content embeddings to engineer pages specifically for how generative platforms find and synthesize information. iPullRank’s AI Search Manual is considered one of the most comprehensive public resources on LLM content retrieval, and the agency’s technical depth makes it the right choice for enterprise brands with complex or JavaScript-heavy sites that other agencies struggle to diagnose.
Best for: Enterprise brands with technical site complexity that requires deep LLM retrieval engineering and algorithmic precision.
5. NoGood
NoGood launched its standalone AEO service in May 2025 and backed it with Goodie, a proprietary platform that tracks brand visibility across ChatGPT, Gemini, Claude, and Perplexity in real time. The agency’s process begins with an LLM visibility audit, layers in technical optimization and schema implementation, and runs prompt gap analysis to identify which AI-generated queries the client should be winning but is not. NoGood has been listed among America’s fastest-growing agencies for three consecutive years, and its client portfolio spans fintech, healthcare, and consumer brands.
Best for: B2B brands with longer sales cycles that need AEO capability paired with a proprietary measurement platform and real-time citation tracking.
Notable clients: Spring Health, Oura, Procter & Gamble
6. Siege Media
Siege Media’s GEO approach is anchored in data journalism and digital PR. The agency’s own research found an 83% lift in traffic value when content includes unique proprietary data, and that companies publishing original research earn 45% more AI citations than those using standard content formats. Their DataFlywheel technology continuously monitors content performance and identifies refresh opportunities, which is particularly useful for maintaining AI citation consistency as LLM behavior evolves across model updates.
Best for: Enterprise SaaS and DTC brands that want content-led authority building as the primary driver of AI citation and organic growth.
7. Growth Plays
Growth Plays is led by John-Henry Scherck, who has become one of the more credible voices in AEO strategy for his combination of intellectual honesty and data-driven rigor. The agency maps buyer-centric, solution-focused topics into content designed to rank in traditional search and appear in AI-generated answer formats, then automates routine content tasks to free capacity for high-leverage editorial work. Critically, every AI-visible content asset is tied to pipeline attribution, giving clients clarity on which citations actually drive demo-ready leads.
Best for: SaaS and fintech brands that need integrated SEO and AEO optimization with rigorous content-to-pipeline attribution.
8. First Page Sage
First Page Sage has been the most systematic publisher of GEO research in the industry, including the first major study analyzing 11,128 AI queries across four platforms to identify which factors cause generative engines to recommend one brand over another. Their GEO framework combines three layers: technical optimization for AI crawlers, strategic content that answers the questions AI platforms pull from, and reputation signals that build the trust generative engines need to cite a source. They conduct quarterly rankings of GEO agencies across multiple industries, which gives them unusual visibility into how the landscape is evolving.
Best for: Enterprise and regulated-industry brands in healthcare, SaaS, and financial services that need GEO deeply integrated with thought leadership strategy.
9. Omnius
Omnius is a London-based agency that has carved out a reputation for technically advanced GEO in the SaaS, fintech, and AI startup verticals. Their boutique model limits client intake to eight per year, enabling the depth of integration that most agencies cannot offer at scale. Omnius has specific expertise in LLM crawlers, implementing llms.txt files, optimizing JavaScript rendering for AI engines, and structuring content for citation rather than ranking. Their international positioning also gives them cross-cultural content relevance that US-focused agencies cannot match.
Best for: International SaaS and fintech brands that need technically precise, multi-language GEO with boutique-level strategic depth.
Notable clients: TextCortex AI, Zencoder, AuthoredUp, Meniga
10. Go Fish Digital
Go Fish Digital takes a data-science approach that distinguishes them in the GEO market. Their team has built custom technology to analyze Google patents and backtest GEO results, meaning their recommendations come from reverse-engineering how these systems actually work rather than best-practice assumptions. Their Barracuda platform delivers page-level recommendations with helpfulness scoring, semantic and entity analysis, and competitive intelligence. A published GEO case study showed 3x lead growth in 90 days using their proprietary query fan-out mapping approach.
Best for: Brands that want data-science rigor and proprietary research driving GEO strategy, including e-commerce brands with complex product catalogs.
Notable clients: HP, Wayfair, Jelly Belly, Salesforce, U.S. Bank
How to Choose the Right GEO or AEO Agency
The market for GEO and AEO services is fragmented and, in many cases, oversold. Here are five criteria that separate agencies with genuine capability from those that have simply added a line item to their services page.
1. Methodology transparency
Any agency you consider should be able to explain exactly how they earn AI citations, not in general terms, but in specific tactical detail. Ask them how LLMs retrieve content, what role training data plays versus real-time retrieval, and how they measure share of voice across different AI platforms. Vague answers about content quality and structured data are a warning sign.
2. Platform coverage
ChatGPT, Perplexity, Gemini, and Google AI Overviews each behave differently and cite different sources. An agency should be tracking and optimizing across all of them, not just whichever platform happens to appear in a case study. Ask which platforms they actively monitor and how citation behavior differs across each one.
3. Measurement tools and reporting
AI visibility cannot be measured with a standard SEO dashboard. The agency should be using purpose-built tools such as Profound, Semrush AI Visibility, Goodie, or AthenaHQ to track brand mention frequency, sentiment, and share of voice across AI platforms. Custom dashboards built on scraped data are also acceptable if the agency can demonstrate rigor in their methodology.
4. Results timeline honesty
Agencies that guarantee results within 30 days are overpromising. Reputable firms in this space quote 60 to 90 days for tail queries and 3 to 6 months for competitive head terms. LLM behavior changes frequently, and what works in one model update cycle may shift in the next. Any agency promising guaranteed outcomes or specific citation numbers should be treated with skepticism.
5. Proof specific to AI citations
Traditional SEO case studies showing traffic growth or ranking improvements do not demonstrate AEO or GEO capability. Ask specifically for evidence of increased AI citation frequency, AI referral traffic growth, or share of voice improvement in LLM responses. Case studies that measure LLM-specific outcomes are the only reliable signal of genuine expertise in this discipline.
What to Expect After Hiring a GEO or AEO Agency
Understanding realistic timelines and the right metrics to track will help you evaluate performance accurately and avoid being misled by vanity signals.
Timeline expectations
The most honest answer from experienced practitioners in this space is that tail queries can see citation improvements within 30 to 60 days, while competitive head terms typically require 3 to 6 months of consistent effort. This is because AI models do not update their knowledge in real time for all queries. For prompts that rely on retrieval augmented generation, content changes can influence citation behavior relatively quickly. For queries that draw on model training data, improving your citation frequency takes longer because it depends on building presence in the sources AI models learn from.
Metrics that matter
Traditional SEO dashboards do not capture AI citation performance. The metrics you should be tracking include:
- AI citation frequency: how often your brand appears in responses to target queries across ChatGPT, Perplexity, Gemini, and Google AI Overviews
- AI share of voice: your brand’s citation rate compared to competitors for the same query set
- AI referral traffic: visits arriving from LLM platforms, trackable in Google Analytics 4 through referral source filtering
- AI traffic conversion rate: the conversion behavior of visitors arriving from LLM referrals, which typically outperforms organic search significantly
- Prompt coverage: the percentage of target prompts for which your brand appears at least once
Red flags to watch for
Several patterns in the GEO and AEO agency market indicate low-quality providers:
- Guaranteed citation numbers or specific ranking positions within 30 days
- Case studies showing traffic or ranking growth but no AI-specific citation metrics
- Tactics focused exclusively on llms.txt files, FAQ schema, or heading rewrites without addressing entity authority and off-site signals
- No mention of which platforms they monitor or how citation behavior differs across ChatGPT versus Perplexity versus Gemini
- Pricing dramatically below the market range of $5,000 to $50,000 per month, depending on scope and agency size
The agencies worth hiring can show you exactly how they measure AI citation share of voice, name the specific tools they use to track it, and point to published methodology that explains their approach. If they cannot do all three, keep looking.
Frequently Asked QuestionsWhat is the difference between GEO, AEO, and LLM SEO?
All three terms describe the same goal: optimizing your brand’s content and online presence so that AI-powered platforms like ChatGPT, Perplexity, Google AI Overviews, and Gemini cite you in their generated answers. GEO (Generative Engine Optimization) emphasizes the generative AI systems doing the answering. AEO (Answer Engine Optimization) emphasizes the act of becoming the direct answer. LLM SEO focuses specifically on how large language models retrieve and rank content. In practice, agencies use all three terms to describe identical services, and practitioners in the industry now treat them as synonymous.
How much does a GEO or AEO agency typically cost?
Pricing varies significantly based on agency size, scope, and client segment. Boutique specialists working with growth-stage companies typically start around $3,000 to $8,000 per month. Mid-market agencies with proprietary platforms generally charge $8,000 to $20,000 per month. Enterprise-focused firms like iPullRank and Omniscient Digital typically start at $10,000 to $15,000 per month and scale upward based on content volume and technical complexity. Freelancers and entry-level providers exist below these ranges, but the investment required to build genuine AI citation authority makes very low-cost options difficult to evaluate with confidence.
How long does it take to see results from AEO or GEO?
Reputable agencies quote 60 to 90 days for tail queries and 3 to 6 months for competitive head terms. Citation improvements depend on multiple factors: domain authority, existing content quality, competition within the target query set, and how frequently the relevant AI models update their retrieval behavior. Brands with strong existing SEO foundations tend to see faster results because they already have the technical crawlability and topical authority that AI platforms require before they will consistently cite a source.
Can I do GEO or AEO myself, or do I need an agency?
In-house teams with strong SEO, content, and digital PR capabilities can make meaningful progress on GEO and AEO without external support. The core requirements are structured, answer-first content; consistent entity signals across third-party publications; technical site health for AI crawlers; and monitoring tools to track citation frequency over time. Where agencies add the most value is in speed of execution, access to proprietary measurement platforms, and the cross-client pattern recognition that comes from optimizing for AI citations across many different brands and industries simultaneously.
How do I know if an agency is actually delivering GEO results?
Ask for reports showing AI citation share of voice before and after their engagement, measured across ChatGPT, Perplexity, Gemini, and Google AI Overviews. Legitimate agencies will be able to show you the specific prompts they track, the frequency at which your brand appears in responses, and how that frequency has changed over time. They should also be able to show you AI referral traffic growth in Google Analytics 4. If the only metrics they can produce are traditional SEO rankings and organic traffic, they have not actually built AI citation capability, regardless of what their services page claims.
