Your buyers are asking ChatGPT for shortlists, using Perplexity to research vendors, and skimming instead of scrolling the SERP. If you’re only measuring clicks and keyword positions, you’re blind to a growing part of your organic funnel.
That’s where generative engine optimization (GEO) comes in.
GEO is the practice of making your brand, content, and data legible and attractive to large language models and AI-powered search experiences. It’s how you influence whether tools like ChatGPT, Gemini, and Google AI Overviews cite you, recommend you, or ignore you.
The fundamentals of good organic growth still apply—clear positioning, useful content, strong technical foundations, and a healthy off-site footprint. GEO doesn’t replace SEO; it extends it. The difference is in how you plan, measure, and distribute so you’re discoverable in conversations, not just in blue links.
That said, choosing a generative engine optimization agency, isn’t a side project. It’s a strategic decision that affects how often you’re mentioned in AI-generated answers, how much user intent you capture, and ultimately how much pipeline you generate from “untracked” organic discovery.
This guide walks you through eight agencies that offer generative engine optimization services. It also covers what GEO engagements look like, and how to choose a partner that will generate revenue.
The 8 best generative engine optimization agencies in 2025
Use this as a starting point for your own shortlist, not a final verdict. The “best” generative engine optimization agency for you depends on your category, internal team, and growth goals.
1. Omniscient Digital
Best for: Revenue-driving organic growth programs for B2B brands
Notable clients: SAP, Loom, Jasper, Hotjar, Asana, Adobe
Key services: SEO and GEO strategy, content production, digital PR, data-driven content, analytics and attribution
Omniscient Digital is the rare agency that blends editorial taste with performance rigor. Every engagement begins with alignment on north-star metrics and objectives meaningful to the business (not just vanity metrics).
Founded by a team of growth, SEO, and analytics practitioners, Omniscient’s differentiator lies in operationalizing Surround Sound SEO. It’s a strategy developed during their time at HubSpot, focused on brand ubiquity, earning visibility across third-party lists, reviews, and content across the SERP and beyond. In a world increasingly mediated by AI-driven answer engines, this kind of mention-level strategy translates directly into visibility and mindshare within AI summaries and conversational interfaces.
Beyond AI optimization, their holistic organic growth programs focus on full-funnel growth for B2B brands. This means SEO strategy built on buyer research, product and industry understanding, and SEO channel data. Authoritative content that’s specific, useful, and centered around expertise, credibility, and conversion. Conversion optimization that constantly iterates, improves, and adds value to the business.
They also bring a POV: content needs a reason to exist beyond search rankings. Clients like Asana, Loom, Jasper, and Hotjar partner with Omniscient not just for traffic but revenue outcomes, editorial polish, and boardroom-ready attribution.
2. iPullRank
Best for: Advanced technical SEO and early-stage AI adoption for enterprise-scale challenges
Notable clients: LG, DocSend, Citi
Key services: Audience research, technical SEO, generative AI, content strategy, content marketing
iPullRank is a technical SEO powerhouse that’s been ahead of the curve on AI integration.
Founded by Mike King, an engineer-turned-rapper-turned-SEO savant, the agency marries deep technical optimization chops with creative execution. They’re the folks you call when your SEO problems span beyond “which keywords should I rank for?” When you need headache-inducing fixes beneath the surface: JavaScript rendering, log file analysis, information architecture, structured data, and content engineering.
But iPullRank isn’t just for technical SEO in the classic sense. They’ve been exploring generative AI applications in content auditing, large-scale content production, and performance modeling before it became trendy.
3. Growth Plays
Best for: B2B SaaS companies looking to map SEO to revenue and get strategic content positioning right
Notable clients: Lattice, Heap, Calendly
Key services: SEO strategy, analytics, content strategy, CMS migrations,
Growth Plays sits at the intersection of SEO, go-to-market strategy, and sales enablement.
Founded by JH Scherck, the team has become known for building practical, ROI-focused SEO roadmaps that prioritize bottom-line impact over vanity metrics. If your team is tired of traffic that doesn’t convert, Growth Plays is the antidote.
They specialize in B2B SaaS, and they’re particularly great at technical products like developer tools. The agency also frequently tackles complex sales cycles, aligning content with ICPs, buyer journeys, and revenue ops.
They really bring in some foundational business acumen, and their content audits go beyond “optimize this H1” into “kill this page, rewrite it for buyers, and map it to pipeline stages.”
More importantly, they’re keenly aware of how AI systems are reshaping the search experience. Growth Plays is helping clients audit, analyze, and improve brand visibility in AI tools as well as classic search.
4. Quoleady
Best for: Growth-stage SaaS companies in search of scalable content and authority-building programs
Notable Clients: Monday.com, PandaDoc, GetVoiP, Expandi, Airfocus, Effy
Key services: SaaS content strategy, SEO for LLM visibility, SEO content writing, link building, content audits, analytics consulting,
Quoleady is a content and SEO agency focused on helping SaaS companies grow. They can work alongside your marketing team or handle everything on their own — from strategy to execution. Their work starts with strategy: identifying what to create, which keywords matter, and how to build authority with the right links. With a team of 35+ across 10+ countries, they take care of content and SEO so you don’t have to.
Their focus is exclusively B2B SaaS across IT, HR, finance, legal, marketing, education, and more. Quoleady works with growth-stage companies to build content engines that actually move the needle. They handle everything from SEO research and performance tracking to content production and outreach. A growing part of their work is LLMO (Large Language Model Optimization) – helping clients show up in AI tools like ChatGPT, Perplexity, Gemini, and beyond.
5. OGM
Best for: SEO strategy for high growth SaaS companies
Notable clients: Intercom, ShipBob, Ramp
Key services: SEO strategy, international SEO, content strategy
OGM, founded by Nigel Stevens, is a growth-focused SEO consultancy. Nigel and team have carved out a niche helping B2B startups and scaleups build high-leverage organic programs with minimal fluff. It’s the kind of shop where the founder actually runs your strategy calls and audits your sitemap.
What sets OGM apart is the prioritization discipline. Their programs start with strategic filtering: what’s worth investing in? Which SEO tactics are driving actual pipeline? And where does content intersect with the customer journey? They avoid the trap of “content for content’s sake” and build programs that serve both users and algorithms.
On the GEO front, OGM has already adapted playbooks for visibility across AI engines, whether that’s increasing citation surface area through smart guest contributions or building content that trains the answers AI tools serve.
6. Flow Agency
Best for: Integrated search engine marketing (paid and organic) for SaaS brands
Notable clients: Betterworks, MailCharts, ELM Learning
Key services: B2B SEO, paid media, GEO and LLM optimization, link building
Flow Agency (formerly Flow SEO) is a top tier SEO and SEM agency that focuses on SaaS companies.
In addition to being well-versed in foundational PPC and search engine optimization best practices, Flow has been an early adopter of AI. This is true. both from a process and inputs perspective, as well as optimizing for visibility in these AI-driven answer engines.
Flow is definitely one of the top SaaS marketing agencies I know of, and they bring a flair of creativity that is uncommon in B2B marketing.
7. NoGood
Best for: Startups and scaleups that want SEO embedded into a broader growth experimentation framework
Notable clients: Intuit, Nike, Chime
Key services: Social ads, marketing analytics, video marketing, paid search, SEO, GEO
NoGood is a growth agency with a data-driven, full-funnel approach to marketing, blending paid, SEO, CRO, and analytics into an integrated growth engine. They’re a good fit for startups and scaleups looking to rapidly test and scale channels, with SEO playing one part of a broader system.
Their generative SEO work includes using AI to build scalable, programmatic content hubs, particularly for eCommerce, marketplaces, and consumer tech brands. They’re strong at turning market signals into executable content strategies, using structured data and experimentation to test content at volume.
Again, NoGood has been an early adopter in LLM optimization and AI visibility, constantly tinkering and even producing some original research on what signals correlate with visibility in these new surface areas.
8. Skale
Best for: SaaS and tech brands ready to win in the new era of search
Notable clients: HubSpot, Freshworks, MoonPay
Key services: SEO growth strategy, content production, link building, AI Search optimization
Skale partners with ambitious SaaS & tech brands to win across the entire search landscape. That means traditional search, but also presence in AI search engines like ChatGPT and Perplexity. Not to mention traction on YouTube and in online communities where buying intent lives.
Their approach blends organic growth strategy, content marketing, technical SEO, and distribution. It’s not about publishing more blogs – it’s about building an organic engine that drives pipeline, retention, and ARR over time.
If your current SEO feels like busywork or doesn’t connect to growth, Skale helps you shift gears and build a system that compounds.
How a GEO agency works: From audit to measurable lift in AI answers
If you’re evaluating generative engine optimization agencies, you should know what a credible engagement actually looks like. GEO shouldn’t be a black box or a bunch of vague promises about “more AI exposure.” It should follow a clear sequence from baseline to measurable lift.
Most serious GEO programs follow three broad phases.
1. Baseline AI visibility audit
This initial audit typically covers:
- Brand and entity coverage: Assess how well AI engines understand your company, products, and key people. This includes checking whether models recognize your brand, pull accurate descriptions, and connect you to the right category.
- Citation and mention analysis: Identify where you’re already getting mentioned across the web (reviews, listicles, community posts, docs) and how often those sources appear in AI answers.
- Prompt and use case mapping: Build a library of prompts your ICP is likely to use (e.g., “best SOC 2 compliance software for startups”) and test where and how often you appear in responses.
- Competitive benchmarking: Compare your AI visibility against key competitors: who’s being cited, whose frameworks or content are being referenced, and where you’re invisible.
2. Optimization and activation
Once you know where you stand in terms of current AI visibility, the next step is improving and implementing:
- Content and information architecture: Create or refine content that aligns with how buyers phrase problems in prompts, and organize that content so machines can parse it (clear headings, entities, relationships).
- Technical and structured data: Ensure your site is crawlable and add structured data where appropriate to make entities, products, and relationships explicit to models.
- PR, citations, and off-site presence: Secure high-quality mentions in the places LLMs are likely to use as training data and reference points: expert roundups, trusted review sites, in-depth third-party content, and authoritative publications.
- Prompt and response testing: Iterate on your prompt library regularly and document how changes to content, structure, and off-site presence impact AI answers over time.
3. Measurement and iteration
Finally, it’s time to track the impact of your hard work, including:
- AI share of voice: Track how often you’re mentioned or recommended in AI responses for your core prompt set versus competitors.
- Citation frequency and quality (where observable): Note which of your URLs, assets, and third-party pages are referenced in AI answers you can inspect, and align effort toward those most strongly tied to conversions.
- Branded prompt capture: Monitor prompts that include brand or competitor names and work to shape how you’re positioned in those responses.
- Pipeline and revenue attribution: Tie GEO work back to sourced and influenced pipeline using landing page performance, assisted conversions, and sales feedback, even if some AI touchpoints remain “dark.”
A key shift from traditional SEO is that GEO focuses less on one-to-one keyword rankings. It’s now more about entity understanding, prompt coverage, and citation patterns across many interfaces. You’re still doing SEO fundamentals. But the success criteria shift from “Where do we rank?” to “How often are we the answer, and how much revenue flows from that?”
How to choose a generative engine optimization agency
Choosing a GEO partner is tricky because the field is new, the playbooks are evolving, and it’s easy to get sold a story. You don’t need certainty—you need a partner who understands uncertainty, thinks in systems, and can connect experiments to revenue.
Use the criteria below to structure your evaluation process and separate hype from real expertise.
What to ask in the first call
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 alignment with your understanding: GEO as an extension of organic strategy into AI surfaces, not a replacement.
- “What’s your methodology for improving AI visibility?” Ask them to walk through their process from audit to implementation to measurement. Look for concrete steps like prompt libraries, entity audits, and citation analysis, not just “we’ll optimize your content for AI.”
- “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 clear approach that might combine third-party tools, internal scripts, and manual testing. If they can’t explain how they’ll monitor AI answers, that’s a concern.
- “Can you share examples where your work influenced AI answers or citations?” You’re not looking for perfect attribution; you are looking for real experiments, screenshots, before/after examples, and a thoughtful narrative of what they tried and what they learned.
- “How do you connect GEO work to pipeline and revenue?” Listen for how they use landing page data, CRM data, and qualitative feedback from sales to connect AI and organic exposure to actual deals—not just traffic.
- “What’s one thing you tried that didn’t work, and what did you change after?” Honest failure stories are a positive sign. If they claim everything works or dodge the question, they’re either early or not being transparent.
By the end of that first call, you should have a sense of whether you’re dealing with practitioners who are testing and learning in public—or vendors repackaging old SEO decks with “AI” sprinkled in.
Red flags to watch for
In a hype-heavy space, how an agency talks about uncertainty tells you a lot. The most credible GEO partners will admit what they don’t know, document what they’re testing, and avoid guarantees. Ironically, uncertainty handled well is a green flag.
Watch out for these red flags as you evaluate partners:
- Rank or citation guarantees: Anyone promising top placement in AI Overviews or fixed numbers of AI brand mentions is overpromising on factors they don’t control. Guarantees in an evolving, opaque ecosystem usually mean shortcuts or misaligned incentives.
- Vague deliverables: If the scope reads like “AI-optimized content” and “improved visibility” without specific activities, artifacts, and timelines, you’ll struggle 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 extra buzzwords. You should see clear documentation of which prompts they’re targeting and how they test and track them.
- 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—they’re relabeling SEO.
- No cross-channel perspective: AI engines don’t respect your organizational chart. If your agency ignores PR, brand, product marketing, and sales enablement touchpoints, they’re missing key levers that influence how models learn about you.
- Overconfidence and silver bullets: Be wary of claims about “proprietary GEO secrets” or “future-proofing your genetaive search strategy. The same goes for one-time audits that “fix” AI visibility, or playbooks that ignore the nuances of your product and category. A thoughtful “it depends” backed by examples is healthier than false certainty.
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 (or not).
Learn the advantages of different engagement models
GEO work doesn’t have to be a massive, open-ended commitment, but you should understand common engagement models and what you’re actually paying for.
- Strategic audit and roadmap projects: Time-bound engagements (for example, 6–12 weeks) that focus on audits, opportunity sizing, and playbooks you can execute with your team or other partners.
- Good for: Companies with solid internal teams that need direction and a GEO lens on existing SEO and content.
- Ongoing strategy and advisory retainers: Monthly retainers where the agency provides ongoing guidance, roadmap management, experimentation frameworks, and collaboration with your in-house execution teams.
- Good for: Teams that can execute but want a senior partner to keep GEO and SEO aligned with evolving AI behavior and company goals.
- Full-funnel execution retainers: Larger retainers that include strategy plus content production, technical implementation, PR/outreach, and analytics support.
- Good for: Lean marketing orgs, or teams that want a single accountable partner for planning and execution.
- Training and enablement programs: Workshops, playbooks, and training sessions to upskill your internal team on GEO concepts, prompt testing, and AI-aware content creation.
- Good for: Organizations that prefer to keep most execution in-house but need to level up quickly.
Pricing will vary by agency, scope, and your starting point. But specialized GEO and SEO partners typically charge based on the value and complexity of the problems they’re solving. As you compare proposals, focus less on hourly rates and more on whether the engagement model matches your internal capacity, risk tolerance, and growth timeline.
How to start GEO with confidence in the next 30 days
If you feel behind on GEO, you’re not alone. The good news is you don’t need a massive overhaul to start building an advantage. You just need a focused first month that gives you clarity and momentum, whether or not you’re ready to hire an agency.
- Week 1: Map your AI exposure and risks—List your top 10–20 high-intent queries and scenarios (e.g., “alternatives to [competitor],” “best tools for <your problem>”). 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 care about. Get buy-in from sales and leadership so everyone understands that “AI visibility” is about pipeline, not just impressions.
- Week 3: Ship a few high-impact fixes—Update obvious gaps in your core pages (category definition pages, comparison pages, product overviews) so they clearly explain who you are, what you do, and who you’re for. If you can, fix inaccurate or outdated third-party listings that may influence AI engines.
- Week 4: Decide your operating model—Based on what you’ve learned, decide whether you’ll build a GEO capability in-house, work with a generative engine optimization agency, or run a hybrid model. 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, a shared language internally, and enough context to evaluate agencies from a position of strength instead of urgency.
At Omniscient Digital, we’ve helped B2B software companies turn SEO and GEO into reliable growth engines—tying AI visibility, search, and content back to pipeline and revenue. If you want to see what that could look like for your team, you can talk with us about your specific situation and get a tailored point of view, no fluff.
Get a free strategy call to explore how a generative engine optimization program could reshape your digital visibility and your organic pipeline.
