The 6 Best GEO Agencies for B2B SaaS Brands in 2026

Your buyers are asking ChatGPT for shortlists and using Perplexity to research vendors before they ever open a search tab. The agency you hire for GEO determines how often you show up in those answers or whether you’re in the conversation at all. This guide covers six thoroughly researched GEO agencies that pass the sniff test, so you can build a shortlist worth your time.

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Disclosure: This guide is published by Omniscient Digital. We’ve included ourselves because we offer GEO services. Every agency on this list was vetted against the same five criteria, including ours.

At a glance: The 6 best GEO agencies for B2B SaaS

Each agency below was evaluated on documented criteria. 

Agency	Best For	Starting Price	Key Differentiator
Omniscient Digital	B2B SaaS GEO tied to pipeline	$10,000/mo	Focus on organic pipeline, achieved 140% AI citation growth in 60 days
Skale	SaaS brands scaling in AI search	$4,000/mo	Reverse-engineered AI query targeting
Breaking B2B	B2B bottom-funnel AI search visibility	$4,000/mo	Buyer journey mapping at decision stage
Discovered Labs	Dedicated B2B AEO programs	$9,138/mo	CITABLE framework + AI Visibility Tracker
NoGood	Startups with multi-channel GEO needs	Contact for pricing	Goodie AI proprietary monitoring platform
iPullRank	Enterprises with complex technical needs	Contact for pricing	AI Search Manual; AmEx/Citi/LG track record

How we evaluated these generative engine optimization companies

Every agency on this list passed five criteria:

1. A dedicated GEO service on the agency’s website. Not “we adapt our SEO for AI”—a distinct, documented service.
2. B2B or SaaS specialization. This list is built for B2B SaaS buyers. Generalist agencies were excluded.
3. Verifiable GEO-specific results tied to pipeline or revenue. Outcomes achieved had to go beyond general traffic or organic rankings.
4. Documented technical GEO methodology: prompt testing, entity optimization, citation building, or equivalent. Agencies that couldn’t describe a process were excluded.
5. Full-service delivery capacity. The agency needs to be able to execute, not just advise.

The fourth criterion—documented methodology—matters more than it might seem. Research from Princeton and Georgia Tech, published at KDD 2024, demonstrated that systematic generative engine optimization techniques can boost content visibility in AI-generated responses by up to 40%. The researchers also found that results vary significantly by domain, which is exactly why methodology matters when choosing a partner.

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Download: B2B Buyer Behavior in 2025—How B2B buyers navigate through channels, build trust, and make decisions in the LLM era.

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6 top picks: Which is the best GEO agency? 

Each entry includes a structured breakdown, including best for, overview, pros, cons, pricing, and results. This will help you evaluate fit quickly and be one step closer to finding your new partner.

Omniscient Digital: Best for B2B SaaS GEO tied to pipeline

Best for: B2B SaaS companies that need GEO connected to pipeline, not just AI citation counts.

Omniscient Digital treats GEO as a pipeline problem. In other words, when buyers use ChatGPT to shortlist vendors in your category, are you in that answer, and is it driving pipeline? Work begins with a baseline AI visibility audit to benchmark where you appear versus competitors and what’s driving the gap. Reporting covers both AI citation metrics and downstream pipeline signals—connecting visibility in AI answers to deal activity, not just impression counts.

Pros

• Omniscient runs a named GEO service with a documented methodology, not an SEO adaptation dressed up as GEO.
• B2B SaaS specialization runs deep with clients ranging from Asana and Loom to Jasper, SAP, and Hotjar.
• Content engineering infrastructure supports companies running complex, high-volume content programs alongside GEO.

Cons

• B2B and SaaS specialization means we’re not the best fit for cross-industry or B2C brands that need a more generalist approach.
• We’re not the cheapest agency on this list because we deliver comprehensive organic programs,  inclusive of SEO strategy, content, and more (not just GEO).

Pricing: Organic growth engagements start at $10,000 per month.

Results: We helped Convert grow LLM visibility by 81% and achieve 140% AI citation growth in just 60 days, with more than 23,000 AI citations analyzed.

Skale: Best for SaaS brands scaling in AI search

Best for: SaaS brands building AI search visibility through reverse-engineered query targeting.

Skale builds AI search visibility by working backwards from the answer. Instead of creating content and hoping it gets cited, they reverse-engineer which third-party sources AI engines already rely on in a given category, then earn placements in those sources. This off-page approach is a strong fit for SaaS brands that already have decent content infrastructure and need to solve the citation problem specifically. Notable clients include HubSpot, Freshworks, and MoonPay.

Pros

• Skale’s reverse-engineered targeting methodology identifies the specific sources AI engines cite before deploying outreach, making placements more precise than content-first GEO approaches.
• AI Brand Mentions is offered as a standalone service, but can also be combined with Skale’s SEO and content services.
• A six-year outreach network gives Skale an edge in placing brands into the citation-heavy content AI systems already use.

Cons

• SaaS-focused scope makes them a poor fit for non-software B2B verticals, like professional services or manufacturing.
• Skale’s link-building-heavy approach may not suit programs that need primarily on-page or technical GEO work.

Pricing: Full-scope engagements start at $4,000. 

Results: Jitter, a motion design SaaS, grew AI brand coverage by 150% (from 22% to 55%) and achieved 90x growth in brand mentions and domain citations in four months.

Breaking B2B: Best for B2B companies focused on bottom-funnel AI search visibility

Best for: B2B companies that need to appear in AI answers at the comparison and decision stage, not just for awareness queries.

Breaking B2B was built around a specific focus: comparison and decision-stage queries such as “Best [category] tools,” “Alternatives to [competitor],” “[Product A] vs [Product B].” These are the prompts buyers use when they’re actively evaluating vendors. Breaking B2B’s position is that this is where GEO investment delivers the most measurable pipeline impact for B2B brands.

Pros

• Breaking B2B’s exclusive B2B/SaaS focus means their methodology is calibrated specifically for longer sales cycles and buying committee dynamics.
• Sam Dunning is directly involved in client strategy, which gives the work founder-level accountability that larger agencies typically can’t offer.
• Pipeline-tied results are on record across named clients, including documented AI traffic gains and competitor comparison page clicks.

Cons

• B2B/SaaS-only scope makes them a poor fit for brands with cross-industry or consumer coverage needs.
• Their bottom-funnel orientation limits fit for brands that haven’t yet established top-of-funnel AI presence.

Pricing: Plans start at $4,000 per month for 90-day sprints. 

Results: Proposify saw a 91% increase in AI search traffic and a 68% increase in clicks to competitor comparison pages. MarqVision earned AI citations in ChatGPT and Gemini within 6 weeks of starting work.

Discovered Labs: Best for dedicated B2B AEO programs

Best for: B2B companies that want an AEO-first program built on proprietary frameworks and original research.

Discovered Labs has a co-founder from a Stanford AI research background, and that experience shapes their approach to AEO. The question isn’t whether your content ranks well—it’s whether language models can extract and attribute claims from it at scale. They specialize in B2B companies that want AEO built on proprietary frameworks and original research, with a focus on measurable citation presence across major AI platforms. 

Pros

• CITABLE is a documented, proprietary framework that structures content for AI retrieval and citation.
• Their AI Visibility Tracker monitors citation presence daily across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews.
• Month-to-month retainers mean you can start without a long-term commitment, which are unusual among generative optimization companies.

Cons

• As a newer agency with a smaller team, Discovered Labs may not suit large organizations that need broad execution capacity across multiple programs.
• Their B2B SaaS focus limits fit for broader B2B verticals like manufacturing or professional services.

Pricing: Retainers start at $9,138 per month, with lower pricing for three- and six-month engagements. Search Visibility Diagnostic is a one-off investment of $4,995. 

Results: Gladia grew to 7x sales-accepted leads, with 93% sourced from AI search. incident.io booked 22% more meetings and improved their AI visibility score by 68%.

NoGood: Best for startups wanting multi-channel GEO

Best for: Growth-stage startups that want GEO integrated with paid, content, and SEO rather than run as a standalone channel.

NoGood is a full-funnel growth agency that treats GEO as part of a broader marketing system rather than a standalone channel. Their model integrates AI visibility work with paid media, SEO, and CRO. As a result, GEO insights inform ad creative, landing page strategy, and content rather than sitting in a separate workstream. This integration is useful for growth-stage startups running multi-channel programs. Their client roster spans B2B SaaS and enterprise consumer brands, including Nike, Chime, and TikTok.

Pros

• Their full-funnel model integrates GEO with paid media, SEO, and CRO—useful for teams that don’t want GEO siloed from the rest of their growth motion.
• Goodie AI, their proprietary monitoring platform, helps track brand visibility across AI platforms and can be used alongside traffic and conversion measurement.
• NoGood publishes original research on AI visibility signals through their AI Lab, which informs how they build and update AEO programs.

Cons

• The multi-channel model can dilute GEO-specific focus compared to agencies that exclusively do AEO or GEO work.
• Their client roster spans B2C brands like Nike and TikTok alongside B2B SaaS, which means their GEO playbook isn’t as precisely calibrated for B2B SaaS as specialist agencies.

Pricing: Contact for pricing. 

Results: SteelSeries (consumer gaming) saw a 23x increase in YoY AI search traffic, a 27x increase in YoY conversions from AI platforms, and a 75% improvement in Perplexity Visibility Score. 

iPullRank: Best for enterprises with complex technical needs

Best for: Enterprise B2B brands with deep technical SEO needs that extend into AI search.

Mike King built iPullRank for organizations where marketing problems are infrastructure problems—JavaScript rendering, information architecture, structured data at scale. Their Relevance Engineering methodology applies that same technical depth to AI search: understanding how AI systems evaluate and weight content, then building the infrastructure that earns citations in complex categories. Enterprise clients like American Express, Citi, and LG show up because iPullRank handles implementation complexity most agencies aren’t equipped for. 

Pros

• The AI Search Manual explaining Relevant Engineering is publicly available, so prospective clients can evaluate iPullRank’s full methodology before committing to an engagement.
• iPullRank offers a productized AI Search Strategy Program alongside custom retainers, giving enterprises a structured entry point.
• iPullRank reports having delivered $4B+ in organic search results for clients, primarily at enterprise scale.

Cons

• Enterprise scope and pricing will exceed what most lean B2B SaaS teams need—this is a fit for organizations with established infrastructure and dedicated technical resources.
• Relevance Engineering requires internal team capacity to implement; early-stage companies without a dedicated technical function may find it difficult to action.

Pricing: Contact for pricing. 

Results: A global financial services company saw a 121% increase in sign-ups over 6 months, a 17x higher conversion uplift on pages with improved Relevance Scores, and 52% cumulative organic traffic growth. 

How to evaluate generative engine optimization companies

The agencies above are worth contacting. But before you get on a first call with any agency, it’s useful to understand what separates a real GEO practice from an SEO agency that added “GEO” to their homepage last quarter.

Start by knowing which engagement model fits your situation. This will make every conversation more targeted. Most B2B SaaS teams have a few options: 

• A full-service retainer (end-to-end execution) 
• A strategic advisory engagement (guidance with in-house execution)
• Or a one-off audit

Deciding which model fits your team before you get on calls saves time. You’ll ask better questions and spot mismatches faster.

Questions to ask before hiring a GEO agency

The first conversation with a potential generative engine optimization agency should give you signal on how they think, not just what they sell. Here are questions worth asking, and what you should listen for in the answers.

• “How do you define GEO, and how is it different from SEO in your work?” You want a clear, nuanced answer, not hand-wavy claims about “AI magic.” Look for GEO positioned as an extension of organic strategy into AI surfaces, not a wholesale replacement.
• “What’s your methodology for improving AI visibility?” Ask them to walk through the process from audit to implementation to measurement. Look for specific steps: prompt libraries, entity audits, citation analysis. If the answer is “we’ll optimize your content for AI,” keep pressing.
• “Which tools and data sources do you use to track AI exposure?” There’s no perfect GEO tool stack yet, but they should have a defined approach. For example, some combination of third-party tools, internal scripts, and manual testing. If they can’t explain how they’ll measure brand visibility in LLMs, that’s a concern.
• “Can you share examples where your work influenced AI answers or citations?” Perfect attribution isn’t the goal here. Real experiments, screenshots, before-and-after examples, and a thoughtful narrative of what they tried and what they learned—that’s the signal you want.
• “How do you connect GEO work to pipeline and revenue?” Listen for how they use landing page data, CRM data, and sales feedback to connect AI exposure to actual deals, rather than just traffic or citation volume.
• “What’s one thing you tried that didn’t work, and what did you change after?” Honest failure stories are a signal. If they claim everything works or dodge the question, they’re either early in the practice or not being transparent.

By the end of that first call, you should have a sense of whether you’re dealing with practitioners testing and learning in public or vendors repackaging old SEO decks with “AI” sprinkled in.

Red flags to watch for

How an agency talks about uncertainty tells you a lot. Credible GEO partners will admit what they don’t know, document what they’re testing, and avoid guarantees. In an evolving, opaque ecosystem, that kind of honesty is a green flag.

Watch for these:

• Rank or citation guarantees. Anyone promising fixed placement in AI Overviews or specific AI brand mention counts is overpromising. Guarantees in an evolving ecosystem usually mean shortcuts or misaligned incentives.
• Vague deliverables. If the scope says “AI-optimized content” and “improved visibility” without specific activities, artifacts, and timelines, you’ll have no way to manage expectations or evaluate performance.
• No prompt library or testing plan. GEO without a defined prompt set and testing cadence is just SEO with a rebrand. Forrester’s 2026 buyer research found that AI search tools “often deliver incomplete or unreliable information, creating mistrust”. Buyers already encounter this. An agency that can’t describe a testing methodology is building on that same unreliable layer.
• Traffic-obsessed reporting. If all you see are keyword rankings and organic sessions with no mention of AI surfaces, entity coverage, or pipeline impact, they’re not really doing GEO.
• No cross-channel perspective. AI engines don’t respect your org chart. If the agency ignores PR, brand, product marketing, and sales enablement as GEO levers, they’re missing key inputs that influence how models learn about you.
• Overconfidence and silver bullets. Be wary of “proprietary GEO secrets” or one-time audits that “fix” AI visibility. A thoughtful “it depends” backed by evidence is healthier than false certainty.
• No defined prompt testing cadence. If an agency can’t describe which prompts they’re targeting and how they test and update that library over time, they’re optimizing for something, but probably not for the queries your buyers are actually using.

In an emerging field, humility plus a strong experimentation engine is far more valuable than absolute claims. Look for agencies that are upfront about limits, transparent about process, and specific about where they’ve seen GEO work and where they haven’t.

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Download: The AEO Field Guide—The mental models, directives, and gotchas you need to win at AI Engine Optimization.

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How to start GEO with confidence in the next 30 days

Once you’ve vetted the agencies on this list and have a sense of what to watch for, the question becomes: where do you start? This framework is for teams deciding whether to build GEO capability internally, through an agency, or both before committing to either. Getting clarity here means you evaluate agencies from a position of knowledge, not urgency.

• Week 1: Map your AI exposure and risks. List your top 10–20 high-intent queries and scenarios. Keywords such as “alternatives to [competitor],” “best tools for [your use case],” “[product A] vs [product B].” Run them through ChatGPT, Perplexity, and at least one other AI tool. Screenshot the results, highlight mentions of you and competitors, and note any inaccuracies.
• Week 2: Align on goals and definitions. Define what GEO means for your team, where it fits in your broader organic strategy, and which KPIs you’ll track. Get buy-in from sales and leadership so everyone understands that “AI visibility” is about pipeline, not impressions.
• Week 3: Ship a few high-impact fixes. Update obvious gaps in your core pages—category pages, comparison pages, product overviews—so they clearly explain who you are, what you do, and who you’re for. Fix any inaccurate or outdated third-party listings that may be influencing AI engines.
• Week 4: Decide your operating model. Based on what you’ve learned, decide whether you’ll build GEO in-house, through an agency, or as a hybrid. Outline a 90-day plan with specific experiments, content initiatives, and measurement checkpoints.

By the end of those 30 days, you’ll have a clearer picture of where you stand and enough context to evaluate agencies from a position of strength instead of urgency.

That’s the same starting point we used with Convert. In 60 days of structured GEO work, they saw 81% LLM visibility growth and 140% AI citation growth. Getting to that kind of clarity doesn’t require a massive program upfront. It requires starting with the right questions.

Search Engine Land’s analysis of 13 months of LLM referral data found that visitors arriving from AI search convert at around 18%. That’s significantly above typical organic search conversion rates—and the volume is still growing, which makes being in the answer layer now worth the investment.

Ready to build your brand’s presence in AI search? Book a free strategy call with Omniscient Digital to see what a GEO program tied to pipeline looks like.

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Frequently asked questions about generative optimization companies

What does a GEO agency do?

A GEO agency optimizes your brand’s presence in AI-generated answers across platforms like ChatGPT, Perplexity, Google AI Overviews, and Gemini. 

Work typically starts with a baseline audit of which queries return AI answers in your category, then moves to content and technical changes designed to increase citation frequency. Most serious GEO programs also include prompt testing, entity optimization, and ongoing measurement tied to share of voice and pipeline, not just citation counts.

For B2B SaaS brands, the focus is on appearing in the queries buyers use when shortlisting vendors, not just broad awareness queries. 

How much does a GEO agency cost?

Most generative engine optimization companies don’t publish pricing or only list starting prices. Based on what’s publicly available from third-party sources, GEO retainers typically run alongside or on top of existing SEO programs. 

Discovered Labs is a notable exception, with public pricing: their Establish tier starts at €6,995/month with month-to-month flexibility, and their Compete tier at €10,995/month. 

For full-service B2B GEO from specialist agencies, expect retainers in the $5,000–$15,000/month range depending on scope and whether content production is included. The clearest path to accurate pricing is to describe your content infrastructure and AI search goals before your first call.

How is a GEO agency different from an SEO agency?

An SEO agency optimizes for search engine rankings: click-through, organic traffic, and SERP position. 

A GEO agency optimizes for AI-generated answers. In other words, the responses that appear before search results, in chat interfaces like ChatGPT, and in AI summaries across tools your buyers already use. The optimization levers differ: GEO involves prompt testing, entity authority, structured content for LLM legibility, and citation monitoring. 

Some SEO agencies have added GEO as a service line. The difference is whether GEO is a named program with its own methodology or an SEO adaptation that they’re only calling something new.