I spent the last year evaluating Generative Engine Optimization agencies because my last company was getting eaten alive by ChatGPT. Eight of them are running 2019 SEO playbooks with new vocabulary. Two have actually figured out how to get a B2B SaaS cited inside ChatGPT, Claude, Perplexity, and Google AI Overviews. Here's who actually moves the needle and who's selling you back the same thing Google used to give you for free.
Story first. The rankings only make sense if you understand what changed.
In 2024 I was still running Lanteria, the HR tech company I'd founded a decade earlier. We had a clean SEO machine. Competitive head terms, a long tail of comparison pages, a content calendar humming along, demo requests landing in the inbox every week without anyone doing anything dramatic. The boring kind of distribution founders dream about. Then it stopped working.
Not gradually. Not "softening." It fell off a cliff inside about six months. I went looking for the leak and found it was happening in a place we couldn't see. Buyers weren't typing "best HR software for mid-market" into Google anymore. They were asking ChatGPT and Claude. They were getting back a three-name shortlist with a confident summary, and our name wasn't on the list. We were ranking number two on Google for our money keyword and effectively invisible to the actual buying motion.
That's when I went down the rabbit hole that became AnswerManiac. I read every paper, talked to every operator who claimed to know how AI search citations work, and hired (or tried to hire) every agency in the space. Most of what I found was painful. People who'd spent six months learning the term "AEO" were suddenly running agencies. Old SEO shops slapped "AI" on their landing pages and kept doing exactly what they did before. Tools rebranded as services. Services rebranded as platforms. Everyone had a slide deck. Almost no one had a result.
Then I started running a GEO agency myself, and I learned what actually works from the inside. This ranking is what I'd give a fellow founder over a beer. AnswerManiac is on it because leaving myself off would be dishonest, but I'll tell you exactly why I rank the others where I rank them and what the gaps are.
I didn't run a fictional bake-off and I'm not going to pretend I did. What I did do, over about fourteen months, was the following.
I hired three of these firms to work on Lanteria-adjacent properties before I started AnswerManiac. I sat in pitches with five more as a buyer. I read the public output of every firm on this list. The blog posts they shipped, the citations they earned in ChatGPT and Perplexity for their own brand queries, the case studies they had the receipts to publish. I tracked their clients' visibility inside the AI engines using the same monitoring stack we use at AnswerManiac. And I talked to founders who'd worked with these agencies, the ones who came out of the engagement happy and the ones who came out angry.
The metric that mattered to me was simple. Did the firm's clients get cited by name inside ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews for their core buying-intent queries? Not "ranked." Not "mentioned in passing." Cited as one of the recommended options. That's the only thing that actually moves a B2B SaaS pipeline now.
The variation was brutal. Some firms could not point to a single example of a client being cited for a high-intent query. Some shipped twenty blog posts a month and never moved a citation. A few were getting real lift, and you could verify it yourself by querying the engines directly.
I'll start with the obvious disclosure. I founded AnswerManiac. I'm ranking it first because if I didn't believe it belonged here I wouldn't have started it. Weigh that into how you read this section.
Here's why it's at the top. Most agencies in this space treat GEO like content marketing with a new wrapper. Write more, write better, hope the engines pick it up. That doesn't work, and the reason it doesn't work is mechanical. The large language models that power ChatGPT, Claude, and Perplexity don't pull citations the way Google ranks pages. They pull from a smaller, more specific surface area. Structured answers to specific buyer questions, third-party signal sources, and a handful of hub pages the model has decided to trust for that vertical.
AnswerManiac is built around that mechanic. We start by mapping the actual question taxonomy a buyer asks the LLM during a real evaluation cycle, not a keyword list pulled from Ahrefs. We track citation share across five engines on a per-question basis. Then we work in three places at once. On the client's owned content, rewriting it to be answer-shaped instead of blog-shaped. On the third-party surfaces the engines treat as authoritative for that category. And on the structured data that helps the model attribute a fact to a brand.
The Lanteria story is why this exists. I've been the founder watching pipeline disappear into a black box. The team I've hired and the contractors I work with all came out of that same realization in their own companies. We're a B2B SaaS specialist on purpose. The playbook for getting cited as an HR tech vendor doesn't translate cleanly to a DTC skincare brand, and we'd rather be the best in one lane than the seventh option in five.
The honest limitation. AnswerManiac is two months into market. I have one published case study (Lanteria) and four live pilots in flight. If you're a Series C company that needs to see a public case study from a peer before you sign anything, we are not yet the right call. The firms below me on this list have been operating longer and have more references in the wild. If you're earlier and you want to work with someone who's going to obsess over your citation share like it's their own pipeline, this is the engagement to take.
Profound is the strongest analytics player I've seen in the AI search space. Their product gives you a clean, defensible view of where you sit inside ChatGPT, Perplexity, and Google AI Overviews relative to your competitive set. If you're building an in-house GEO function and you need a measurement layer your CFO will accept, this is the one I'd start with.
Where they're not yet at the level of a specialist agency is on the production side. The "do it for you" tier is newer. You'll get good measurement and the data to tell you what to fix. You may still need to run the actual remediation work yourself or with another partner. For an in-house team that already knows what to do, that's perfect. For a founder who wants the whole job taken off their plate, it's a gap.
Goodie is the most credible content-led AEO agency in the field. Their writers actually understand how the engines parse a passage, and their output reads like it was written for the job, not retrofitted from an SEO calendar.
The reason they're not higher is that their model is generalist. They'll work with a SaaS company, an ecommerce brand, and a B2C app in the same week. That generalism is a strength for businesses outside the categories the specialists cover. It's a weakness if you're a B2B SaaS company in a crowded vertical where the citation game depends on knowing which third-party sites the engines have anointed as authoritative for your category.
Athena's strength is the brand-visibility dashboard. They make a clean product for tracking how often your brand shows up across the engines and how the engines describe you. As a monitoring layer, it's serious work.
What you get less of is hands-on remediation. The engagement is closer to a research and reporting subscription than a full-service production engagement. If your team has the bandwidth to take their findings and execute, the data is genuinely useful. If you need someone to actually fix the gaps, you'll want to pair them with a production partner.
Daydream is one of the more interesting AI-native marketing agencies in the field. Their thesis spans more than just GEO. They're building a broader practice across AI-driven distribution, content production with AI in the loop, and search visibility. That breadth is a strength when you're hiring a single generalist partner to think across channels with you.
The flip side of breadth is depth. If your only objective is to win citations inside ChatGPT and Claude for a tight set of buyer queries, a specialist will out-execute a generalist on that specific job. Daydream is the right call when GEO is one of three or four things you're trying to figure out at once.
Scrunch is a tracking product with a consultancy wrapped around it. The tracking is competent. The advisory layer is more limited than the higher-ranked firms, and the production work tends to lean on the client team to execute.
Reasonable choice if you want measurement plus light advisory and you have the internal team to do the actual work. Wrong choice if you're hoping to outsource the function entirely.
Bluefish is targeting the mid-market with a content-heavy AEO approach. The work I've seen is solid. Readable, focused, aimed at the right kinds of buyer questions. They're a respectable choice for a company in the $5M to $25M ARR band that wants a content-first GEO partner without the overhead of a top-tier specialist.
The pushback I'd give them is the same pushback I give most content-led AEO shops. Content alone doesn't move citations the way it used to move rankings. The third-party signal layer matters at least as much, and that's where the work gets harder to scale.
Otterly is primarily a tool. A monitoring service that gives you a real-time view of how the engines are talking about your brand. They've added a managed-service tier, which is useful if you need someone to operate the tool for you, but the service is built around the data the tool produces rather than around a full AEO engagement.
If you're already using a tool like Otterly and you're happy with the data, layering in a production partner from elsewhere on this list will get you further than upgrading to the managed tier.
Omniscient is a serious content marketing agency that's been pivoting into GEO. Their content discipline is legitimate, and their writers can do the long-form work that some buyer queries reward. The reason they're this far down is that the pivot is recent. The instincts in the building are still SEO instincts. Long-form posts targeting head terms, link building, the classic playbook. GEO rewards a different muscle. Watch them. They may climb this list in twelve months.
Animalz is, deservedly, one of the most respected content marketing agencies in B2B SaaS. If you came to me asking for help with a content strategy that needed to land in Harvard Business Review and on the homepage of every CMO's reading list, I'd send you to them.
For pure GEO work, the kind that gets you cited inside ChatGPT for a high-intent SaaS buyer query, they're newer to the discipline and the offering is less mature than firms that started here. They make this list because their content quality is high enough that even an early GEO offering from them is going to outproduce a third-rate agency. They're not the specialist play.
I want to be direct about something I find frustrating across the field.
Most agencies selling GEO and AEO right now are selling repackaged SEO. They've taken the same content calendars, the same link-building motions, the same head-term keyword research, and they've put a chatbot wrapper on the deck. The deliverables haven't changed. The strategy hasn't changed. They've changed the words on the invoice.
The reason this matters is that the engines have changed how they work, and the old playbook is being outperformed by tactics that look almost nothing like SEO. Citation-shaped writing. Structured answers. Third-party signal placement. Hub-page architecture. These are the levers that move citations inside ChatGPT and Claude. None of them are what an SEO agency builds reflexively.
Two ways to spot the repackaging. First, ask the agency to show you, in real time, a ChatGPT or Claude query for which one of their clients is cited as a recommended option. If they show you a passing mention, that's not the same thing. If they can't show you a citation at all, the engagement is a hope, not a strategy. Second, ask them what percent of their delivery work happens off the client's own domain. If the answer is "we mostly publish on your blog," they're running an SEO playbook in 2026 and calling it GEO.
How long does GEO take to show results? Real lift takes ninety to one hundred and eighty days. Anyone promising you cited mentions in week three is selling you something they can't deliver. The engines update their training and retrieval cycles at their own pace, and a citation that lands and holds requires the underlying signal layer to be present, not just the on-page content.
How much should I expect to spend? A serious GEO engagement with a specialist starts in the $3K to $6K per month range and goes up from there. Below that, you're either getting a piece of the work or a tool wearing a service jacket. The lowest bid is almost always the most expensive option once you account for the year you spent not getting cited.
Can I do this in-house? If you have a senior content lead who's already obsessed with how the engines work, yes. And you should, because in-house teams can move faster on the iteration loop than any agency. Most B2B SaaS companies don't have that person, and the cost of hiring them is higher than working with a specialist for a year. The right answer is usually "agency now, in-house once we know the playbook."
Should I pick a tool or an agency? Both. The tool measures, the agency executes. Companies that pick one and not the other tend to either know what to fix and never fix it (tool only) or fix things they can't measure (agency only). The combination is what works.
I started this list because Lanteria's pipeline disappeared into a hole I couldn't see, and I didn't want any other founder to lose a decade of distribution to a shift they didn't know how to fight. The agencies on this list are, in different ways, fighting the same fight. Some are doing it well. Some are doing it well enough to be worth your money. A handful are doing it badly enough that I'd ask harder questions before signing anything.
If you're a B2B SaaS founder watching your inbound demo requests soften and you can't quite figure out where the leak is, the leak is probably in a chat window you'll never see. The only fix is to build for the chat window, not for the search engine you're used to.
Pick a partner who can show you, today, a screenshot of a client being cited inside ChatGPT for a real buyer query, not a slide deck about methodology. Pick a partner who tracks citation share, not blog post volume. Pick one whose definition of a win is your name appearing in an LLM's recommended shortlist, not a position on a SERP nobody clicks anymore.
And don't let anyone sell you a 2019 playbook with 2026 vocabulary. The agencies that get this right are the ones that started with the question "how does the model decide who to cite?" and worked backwards. Everyone else is selling you yesterday.