In this article, we'll explore 6 agencies already offering generative engine optimization and AI SEO services as of January 2026.
This is an emerging field in digital marketing, so we recommend you choose an agency that's experimenting and innovating constantly.
Those we chose below are showing clear signs of their skill in AI SEO.
What is AI SEO?
AI SEO, also known as GEO, LLMO, and AEO, is about shifting your focus from optimizing purely for search engines like Google to optimizing for large language models (LLMs) like ChatGPT, Claude, Gemini, and Perplexity.
These models don’t rank content the same way Google does. Instead, they read, interpret, and generate answers based on patterns and associations in their training data or live web access.
To show up in their answers, your content needs to be LLM-readable and contextually strong.
That means:
1/ Make content easy for LLMs to read, interpret, and cite
LLMs pull from structured, high-confidence sources. They need content that’s clear, well-formatted, and consistent. Rambling blog posts with vague claims or clickbait-style headings get ignored. High-quality summaries, straightforward explanations, and entity-rich content get surfaced more often.
2/ Track brand mentions in AI-generated answers
LLMs don’t just show ranked links, they instead generate summaries and answers.
Being included means your brand or product must be recognized and contextually relevant.
You can track when and where your brand appears in ChatGPT, Claude, or Perplexity using prompt testing, search tools, or custom tracking workflows. This tells you if your content is actually working inside AI interfaces.
3/ Structure content for visibility in AI tools, not just Google
Google looks at backlinks, freshness, and technical SEO. LLMs look at clarity, relationships between entities, and semantic coherence. That’s why content built for GEO often uses:
- Clear headings and definitions
- Entity-based formatting (naming people, companies, tools, and categories directly)
- Short, direct explanations over keyword stuffing
Think like an explainer, not a search engine gamer.
4/ Use entity-rich, well-structured language
LLMs rely heavily on entities—names of people, products, companies, locations, etc.—and how they’re described and related.
If your content clearly connects your brand to known categories or use cases, you increase the chance of being cited.
Who are the top AI SEO agencies in 2026?
Generative engine optimization (GEO) is an emerging field and things are moving fast. Here are the agencies that are ahead of the pack and have developed AI SEO and generative engine optimization services.
1. Spicy Margarita SEO - Best B2B AI SEO Agency for AI Visibility
Spicy Margarita is an SEO and content marketing agency with a clear point of view on AI search: generative systems aren’t replacing traditional search, they’re just changing where strong SEO shows up.
That perspective comes from their constant testing and experimentation with AI search tools, which has revealed a clear pattern:
AI systems amplify brands built on solid technical foundations, credible content, and real expertise across Google, ChatGPT, and everything in between.
As a result, AI SEO isn’t treated as a separate initiative or a short-term experiment. It’s woven into the same systems that already support discoverability, credibility, and demand.
Spicy Margarita works primarily with B2B companies, especially SaaS, tech, and service businesses that want to show up when high-intent buyers are actively researching solutions across search engines and AI tools.
Four reasons people choose Spicy Margarita:
Spicy Margarita focuses on bottom-of-funnel AI SEO that converts
Spicy Margarita deliberately concentrates its AI SEO work on queries and prompts that signal active buying intent, think comparisons, alternatives, evaluations, and “best for X” research.
This is because through ongoing analysis of LLM outputs, their team has observed that AI tools surface brands most predictably during evaluation-stage research, when users are comparing options and deciding who to trust.
In short, the goal is to be recommended during high intent moments...not just to have your content cited by LLMs.
As a result, their AI SEO efforts are designed to:
- Align content with evaluation-stage prompts AI systems frequently answer
- Ensure high-visibility pages are the ones buyers actually reference before converting
- Connect AI visibility directly to downstream lead and pipeline impact
Rather than treating visibility as a goal on its own, Spicy Margarita focuses on placing brands where visibility influences decisions, using AI as a discovery layer that supports real buying moments.
Spicy Margarita knows how to raise your visibility in generative AI tools
Spicy Margarita’s approach to GEO is grounded in direct observation of how large language models select, summarize, and cite sources in real outputs.
Instead of relying on assumptions or second-hand frameworks, their team continuously tests prompts across tools like ChatGPT and Perplexity to identify patterns in:
- Which content formats are cited
- How entities are described and referenced
- What structural elements increase repeat inclusion
That insight directly shapes how they apply generative engine optimization:
- Structuring content so AI systems can parse and reference it accurately
- Monitoring brand mentions across AI tools to identify gaps or drift
- Iterating content based on how models actually respond, not how they “should”
- Strengthening topical hubs that AI tools repeatedly draw from
Spicy Margarita is easy to work with and built to move quickly
Spicy Margarita works well with founders and lean marketing teams who want clear direction and steady progress without unnecessary complexity.
Because AI search behavior changes faster than traditional search, execution speed is a practical requirement, not a cultural preference.
Spicy Margarita’s operating model is designed to support this rapid iteration through:
- Clear priorities over multi-quarter roadmaps
- Direct access to decision-makers instead of layered approvals
- Short feedback loops between testing, insight, and implementation
This structure allows experiments to move into production quickly, and underperforming ideas to be adjusted or dropped without friction, an important advantage in a space where static strategies age fast.
Spicy Margarita is led by active practitioners in generative engine optimization
Founder Ben Goodey is one of the leading educators in the AI SEO space. He shares ongoing insights, experiments and strategy breakdowns with thousands of marketers on LinkedIn.
Examples of his work include:
The team is also experimenting constantly, turning real-world tests into repeatable frameworks and playbooks in the emerging space of AI SEO. They:
- Run weekly experiments on LLM behavior and brand prompts
- Use custom AI measurement tools to track visibility
- Publish real data on what works inside generative engines
- Bring those insights directly into client strategy
In short, Spicy Margarita is a top choice for those wanting to work with a team at the forefront of how search and AI are evolving.
2. Notebook Agency
Notebook helps B2B SaaS and enterprise brands influence how they’re described inside AI-generated answers, not just whether they appear.
At the center of their work is the Trust Alignment Framework™, which is built around one idea: AI recommendations only stick when the facts line up. Pricing, integrations, compliance context, and who a product is actually for all need to match what AI systems surface during evaluation-stage research.
Instead of chasing visibility for its own sake, Notebook focuses on shaping how products are represented when buyers ask comparison-driven questions and start forming shortlists.
Their AI SEO work includes:
- Auditing AI-generated answers for accuracy and positioning gaps
- Structuring comparison and alternatives content AI tools reliably source
- Clarifying entities and technical signals to support correct retrieval
- Monitoring AI outputs over time to catch drift or misinterpretation
Notebook works primarily with B2B SaaS, fintech, healthcare, and services brands, including FreshBooks, VWO, Kneat, ShipHero, and Royal Bank of Canada.
They’re best suited for teams that care less about broad exposure and more about being recommended for the right reasons during AI-driven evaluation.
3. Animalz
Animalz brings AI visibility into the places they already know best: content, narrative, and authority.
Their AEO work centers on making sure a brand’s existing and new content is easy for generative search systems to read, summarize, and reuse accurately. That means fewer technical rebuilds and more attention on how ideas are explained, framed, and supported across the web.
What that looks like in practice:
- Auditing how content appears in AI-generated answers
- Updating pages to match how answers are actually summarized
- Publishing new content around high-value questions and prompts
- Securing citations from sources AI systems repeatedly reference
- Participating in Reddit threads that show up in generative answers
- Measuring where and how brands are mentioned over time
Animalz does account for technical basics like crawlability, structure, and schema when needed. But their real leverage comes from editorial judgment, thought leadership, and long-form content that signals credibility.
This approach works well when the SEO foundation is already solid and the goal is to extend that authority into AI answers, without turning AI SEO into a heavy technical project.
Teams that want deeper technical execution alongside content and authority work may lean toward an agency like Spicy Margarita that handles AI SEO end-to-end.
4. Omnius
Omnius is a Europe-based GEO agency that works almost exclusively with SaaS and fintech companies.
Like Spicy Margarita, Omnius doesn’t treat AI SEO as a standalone channel. Their position is that generative engine optimization is an added layer on top of strong SEO foundations, not a replacement for them. That belief is shaped by their 10+ years of experience in B2B SEO and ongoing AI search experimentation.
Where Omnius differentiates itself is how they apply that thinking. Their GEO work is strongly oriented toward technical SEO and site infrastructure, making sure AI systems can access, interpret, and reference content correctly at a structural level.
Their AI SEO efforts commonly include:
- AI crawler accessibility and Bing-focused optimization
- Custom schema and structured data across page types
- LLMs.txt files and AI-friendly site architecture
- Knowledge panel optimization and citation engineering
- Content restructuring for snippets, FAQs, comparisons, and zero-click answers
Omnious keeps its scope intentionally narrow, working only with SaaS and fintech companies and onboarding a limited number of clients each year. This allows for deeper integration, particularly on technical and architectural work.
Example clients include Payoneer, WorldFirst, TextCortex, Meniga, and other SaaS and fintech brands.
5. iPullRank
iPullRank comes at AI search from a more technical, systems-level angle than most agencies.
Their work centers on what they call Relevance Engineering, understanding how generative systems decide what information is relevant enough to retrieve, assemble, and trust in an answer.
Instead of starting with pages or prompts, they start with the mechanics behind the answer itself: how questions branch, how passages are selected, and how brands are interpreted when AI systems compare options.
Content is then shaped to fit those retrieval patterns, rather than optimized in isolation.
That approach shows up in how they work:
- designing coverage around how AI expands and links related questions
- structuring content so individual sections can be pulled cleanly into answers
- strengthening brand and topic connections across owned content and external sources
- aligning technical SEO, content, digital PR, and UX under a single relevance model
- tying AI visibility back to demand influence and revenue impact, not just citations
This model tends to resonate most with enterprise teams managing large, complex sites, where AI visibility depends on consistency and structure across many touchpoints, not just individual pieces of content.
6. First Page Sage
First Page Sage is a long-established SEO and thought leadership agency that has expanded into GEO and AI SEO as generative search becomes part of how buyers research.
Founded by early SEO pioneer Evan Bailyn, the agency brings more than a decade of experience producing expert-led content for complex industries.
Their core strength lies in ghostwriting content that reads as if it were written by in-house subject matter experts, then connecting that content to conversion paths that generate qualified leads.
Their AI SEO and GEO work builds on that foundation, focusing on making authoritative content visible not just in Google results, but also in AI-driven research and answer tools.
Their AI SEO services include:
- Expert-led content structured to surface in AI-generated answers
- Thought leadership assets (research, forecasts, white papers) that reinforce authority signals AI systems rely on
- Aligning high-ranking content with conversion paths so AI visibility supports lead generation
- Strengthening off-site authority through references and citations AI tools commonly surface
While they serve both B2B and B2C brands, much of their work centers on complex products and services where trust and expertise matter.
However, because First Page Sage’s client base skews toward enterprise and mid-market companies, smaller teams may instead prefer a partner like Spicy Margarita that offers similar authority-building with closer day-to-day collaboration.
7. 42DM
42DM approaches AI SEO through SAIO (Search Artificial Intelligence Optimization), their framework for adapting SEO to how generative systems surface, compare, and shortlist vendors during research.
They build AI SEO into the same technical, content, and authority layers that already support search performance, so work done for SEO also carries through into AI-generated answers.
Most of their AI SEO effort shows up where buying decisions actually take shape. Think comparison pages, tool roundups, and evaluation-style queries where AI summaries often replace multiple clicks.
Their SAIO work typically includes:
- Audits and strategy tied to evaluation-stage AI queries
- Technical SEO and schema that support AI retrieval
- Comparison and evaluation content structured for AI sourcing
- Third-party citations and trust signals
- Ongoing tracking of how brands appear across AI-generated answers
42DM works almost exclusively with B2B tech companies, including SaaS, fintech, AdTech, MarTech, and cybersecurity brands.
Clients like Payoneer, CloudCall, Zeeto, and Lumin reflect their focus on competitive categories where AI-driven comparison increasingly shapes who gets considered.
What should you look for in an AI SEO agency?
In our view, these are the most important attributes to look for in an AI SEO agency.
- They don't pretend they know it all
This industry is still emerging. It's experimental. Nobody has concrete methodology that is guaranteed to work for the long-term.
That said, there are things that clearly work now. They should have an evolving playbook of tactics to implement to get you to the top.
- They have a culture of testing and experimentation
Similar to a good SEO agency, the best GEO agencies will be always iterating and improving. They'll have a methodology that's proven to work - but will be adapting and refining it based on tests.
When vetting agencies, ask them: What tests are you running? What results are you seeing and how did you measure success?
- They're truly great at SEO and content writing
Any AI SEO agency should have first earned their stripes in traditional SEO.
Not only are the most effective techniques and methodology similar, but the mentality for ranking in LLMs and search engines is the same.
When vetting agencies, ask them about their SEO successes and how their approach is similar for GEO.
Who is the best overall AI SEO agency for B2B brands?
Spicy Margarita stands out as the best AI SEO agency for B2B brands.
Spicy Margarita has big successes with traditional SEO. That knowledge and skillset translate well to AI SEO, and they're proving it.
Spicy Margarita works with B2B services and B2B SaaS companies. They've created content for famous B2B companies like Gong and OpenAI. Despite that, they remain affordable and often work directly with small companies and founders who don't yet have a marketing team.
AI SEO Marketing | FAQs
How is AI SEO different from traditional SEO?
Traditional SEO mostly aims to rank pages in search results. AI SEO (often called GEO) aims to get your brand and content included in AI-generated answers across tools like Google’s AI features, ChatGPT Search, and Perplexity.
That changes what “winning” looks like:
- Traditional SEO: ranked links + clicks
- AI SEO: mentions, citations, and recommendations inside answers (sometimes with fewer clicks, sometimes with higher-intent clicks)
The fundamentals are still the same for both (helpful content, clear site structure, credibility), but AI SEO puts extra weight on entity signals (clear, consistent signals about who you are, what you do, and how your brand is referenced across the web) and content that’s easy to extract and cite.
Do AI SEO services help brands show up in ChatGPT and other AI tools?
Yes, but smart AI SEO isn’t a “flip-a-switch” channel that instantly places you in every AI answer.
AI-powered discovery is changing how people research products and services. Tools like ChatGPT Search (which uses live web search with citations) and Google’s AI experiences now surface synthesized answers that pull from multiple sources, not just a ranked list of links.
This doesn’t replace traditional SEO. But it does expand what visibility looks like. When AI summaries and answer layers appear, being included as a cited or referenced source becomes just as important as ranking on page one.
AI SEO increases the likelihood that your content is the kind these systems pull from. By improving clarity, structure, entity signals, and topical coverage, AI SEO work helps your pages show up more consistently when people ask comparison-driven or high-intent questions like “best X for Y.”
So, rather than guaranteeing instant inclusion, AI SEO improves the frequency, relevance, and quality of when your brand appears during research moments that influence buying decisions.
What types of companies benefit most from AI SEO?
AI SEO tends to pay off fastest for companies where buyers:
- ask complex questions
- compare options
- need trust and proof before they short-list vendors
That often includes B2B SaaS, B2B services, fintech, healthcare, and other categories where people research deeply before talking to sales.
It also helps when your product fits into “best X for Y” or “how do I choose…” queries, because those are exactly the moments when AI tools summarize options and recommend vendors.
Google has also said AI experiences are driving more complex queries and new kinds of questions, which favors brands that publish clear explanations and strong supporting content.
Can AI SEO drive leads and revenue, or is it just brand visibility?
It can drive leads, but not the same way as “rank #1 for a keyword.”
AI SEO often works like this:
- You get named or cited in AI answers during high-intent research
- You earn shortlist consideration faster
- You capture demand via supporting pages that convert (BOFU pages, comparison pages, landing pages, case studies)
So yes, there’s brand visibility involved, but the real upside comes when visibility connects to high-intent pages and clear next steps.
How long does it take to see results from AI SEO?
AI SEO timelines vary depending on your industry, competition, starting authority, and which AI systems you’re trying to appear in. Because this is still an emerging space, there isn’t a single, fixed timeline that applies to every business.
In general, some early signs of progress can appear within the first few weeks, particularly after improvements to content clarity, structure, and technical readiness. These early signals often show up in AI summaries or answer-style results before any noticeable changes in traditional rankings.
More consistent visibility, where AI tools reliably reference or include your brand for relevant queries, typically takes longer.
Like traditional SEO, this depends on building trust, authority, and clear topic coverage over time, which often unfolds over a period of months rather than weeks.
The key thing to understand is that AI SEO is still evolving. Models, interfaces, and ranking logic continue to change, so results tend to compound gradually as systems gain confidence in your content, rather than appearing all at once.