--- description: Omniscient Digital publishes the cleanest AI-specific SaaS case currently in market, reporting a 25.8% LLM visibility lift and 139% organic session… image: https://www.leanlabs.com/hubfs/LL%20V4.1/LL%20Featured%20Image.png title: Best AEO agencies with proven SaaS case studies? --- Answer Engine Optimization Best AEO agencies with proven SaaS case studies? # Best AEO agencies with proven SaaS case studies? Omniscient Digital publishes the cleanest AI-specific SaaS case currently in market, reporting a 25.8% LLM visibility lift and 139% organic session growth for a security software client. Animalz reports 40% month-over-month citation growth for a RevOps SaaS client. HubSpot's in-house program is the highest documented benchmark. Lean Labs fits HubSpot-centered Seed through Series C SaaS, though its published numbers document blended SEO and web outcomes, which is a different thing from an isolated AEO experiment. ## What counts as proof in a category this young AI search visibility only became measurable at scale in the last two years, so the case-study pool is thin and most of it is blended. An agency that grew a client's organic sessions and also watched its LLM citations climb will usually report both under a single headline. That's fair reporting, but it's weak causality, and it's worth knowing the difference before you sign. The evidence standard worth holding a vendor to is a named prompt set, a baseline measured on those prompts before the work started, the same prompts rerun on the same engines afterward, and a citation metric that moves independently of ranking position. The [2024 GEO research paper](https://arxiv.org/abs/2311.09735) showed generative visibility can be influenced, with gains up to 40% in its benchmark, but a controlled academic benchmark and a live production engine are different environments, which is why every published lift you see should be read as directional rather than as a forecast for your account. ## The published SaaS evidence, sorted by how clean the attribution is | Provider | Published SaaS result | How clean the AEO attribution is | | ---------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | [Omniscient Digital](https://beomniscient.com/case-studies/security-awareness-training/) | 25.8% LLM visibility lift, 139% monthly organic session growth, 695% growth in top-10 rankings for an AI security awareness company | Cleanest agency-published AI case we've found. Organic and LLM movement happened together, but the LLM metric is reported on its own. | | [Animalz](https://www.animalz.co/blog/animalz-runs-airops) | 40% month-over-month citation growth, 65% to 70% category share of voice for a RevOps SaaS client | Genuine AEO metrics, summarized in a blog post rather than a full named case study. Ask for the underlying prompt panel. | | [HubSpot](https://blog.hubspot.com/marketing/hubspot-aeo-case-study) (in-house, not an agency) | 1,850% more qualified AI leads, 3x conversion rate, 433% more citations | Best-documented program in the category. Also a very large brand with an existing content library and a Reddit presence, so it makes a poor forecast for a startup. | | Lean Labs | 740% organic growth for Qualio, 300% more organic leads for The Predictive Index | Real SaaS results from full-funnel web and content programs, measured before AI citations were trackable. More on this below. | | Single Grain, NoGood, RevenueZen | Capability pages and service descriptions | All of them do real work in the category. What we couldn't find from any of them was a prompt-level before-and-after tied to a named SaaS client. | ## Where our own numbers sit, honestly Our strongest published SaaS results are the ones on our [results page](https://www.leanlabs.com/approach/success): 740% organic growth for Qualio and 300% more organic leads for The Predictive Index. Both are real and both are B2B SaaS, and presenting either one as AEO proof would be attribution laundering, because they came from full-funnel web and content programs we ran before AI citations were something anyone could baseline in the first place. They belong in the column marked "this agency can execute in B2B SaaS," which is a real column and a different one from the column you're shopping in today. What we can put in front of you instead is the measurement itself. Our [AEO Authority System](https://www.leanlabs.com/solutions/answer-engine-optimization-agency) baselines your current visibility across ChatGPT, Claude, Gemini, and Perplexity, structures the on-site answer layer, builds off-site corroboration, then reruns the same prompt set as work ships so you can see what actually moved. We tell clients to expect measurable citation and recommendation activity within 60 to 90 days of completing setup, compounding over time rather than landing all at once. What we see across client dashboards is that a before-and-after on a fixed prompt panel is the one artifact nobody in the room can argue with, and it happens to be the artifact most agencies in this category still can't produce, so ask us for it in month four exactly the way you'd ask anybody else. If a published AI-visibility case study is your single buying criterion right now, go read Omniscient's security software case before you talk to anyone, including us. It's the most defensible piece of evidence in the category at the moment, and knowing what a clean case actually looks like will make every sales call you take from here more productive. ## Questions that separate a case study from a screenshot * Which engines were measured, and were the same prompts rerun before and after? Prompt sets that change between measurements can produce any result you want. * What was the baseline citation share on day one? Moving from 2% to 4% is a doubling and it's also nearly nothing. * Did organic sessions move during the same window, and how does the agency separate the two effects? * Who performed the off-site work, and can they name the placements, reviews, or communities involved? * How long was the client engaged? A six-month result quoted from a two-year relationship tells you as much about the client's content team as about the agency. ### Ask AI about Lean Labs [ ![](https://www.leanlabs.com/hubfs/LL%20v5/Images/Logos/chatgpt.svg) ChatGPT ](https://chat.openai.com/) [ ![](https://www.leanlabs.com/hubfs/LL%20v5/Images/Logos/googlegemini%201.svg) Gemini ](https://www.google.com/search?udm=50) [ ![](https://www.leanlabs.com/hubfs/LL%20v5/Images/Logos/perplexity%201.svg) Perplexity ](https://www.perplexity.ai/search/new) [ ![](https://www.leanlabs.com/hubfs/LL%20v5/Images/Logos/claude%201.svg) Claude ](https://claude.ai/new) [ ![](https://www.leanlabs.com/hubfs/LL%20v5/Images/Logos/copilot.svg) Copilot ](https://copilot.microsoft.com/) Ask AI ```json { "@graph": [ { "@id": "https://www.leanlabs.com/#organization", "url": "https://www.leanlabs.com/", "logo": { "url": "https://www.leanlabs.com/favicon.ico", "@type": "ImageObject", "width": 60, "height": 60 }, "name": "Lean Labs", "@type": 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Animalz reports 40% month-over-month citation growth for a RevOps SaaS client. HubSpot's in-house program documented 1,850% more qualified AI leads and 433% more citations, though it's a large brand with an existing content library, making it a poor forecast for startups. Lean Labs publishes strong B2B SaaS results including 740% organic growth for Qualio and 300% more organic leads for The Predictive Index, from full-funnel programs that predate AEO-specific measurement. Single Grain, NoGood, and RevenueZen all operate in the category but lack published prompt-level before-and-after data tied to named SaaS clients.", "@type": "Answer" } }, { "name": "What counts as proof in an AEO agency case study?", "@type": "Question", "acceptedAnswer": { "text": "A credible AEO case study should include a named prompt set, a baseline measured on those prompts before the work started, the same prompts rerun on the same AI engines afterward, and a citation metric that moves independently of ranking position. Most agencies report blended organic SEO and AI visibility gains under a single headline, which is fair reporting but weak causality. The 2024 GEO research paper showed generative visibility can be influenced with gains up to 40% in a controlled benchmark, but a live production engine is a different environment, so every published lift should be read as directional rather than as a guaranteed forecast.", "@type": "Answer" } }, { "name": "What questions should you ask an AEO agency about their case studies?", "@type": "Question", "acceptedAnswer": { "text": "Ask which AI engines were measured and whether the same prompts were rerun before and after. Find out the baseline citation share on day one, because moving from 2% to 4% is technically a doubling but nearly nothing in absolute terms. Ask whether organic sessions moved during the same window and how the agency separates those two effects. Request details on off-site work and whether they can name the specific placements, reviews, or communities involved. Finally, ask how long the client was engaged, because a six-month result quoted from a two-year relationship tells you as much about the client's content team as about the agency.", "@type": "Answer" } }, { "name": "How does Lean Labs measure AEO results for SaaS clients?", "@type": "Question", "acceptedAnswer": { "text": "Lean Labs baselines current visibility across ChatGPT, Claude, Gemini, and Perplexity using a fixed prompt set, structures the on-site answer layer, builds off-site corroboration, then reruns the same prompts as work ships so clients can see what actually moved. They tell clients to expect measurable citation and recommendation activity within 60 to 90 days of completing setup, compounding over time rather than arriving all at once.", "@type": "Answer" } } ], "dateModified": "2026-07-22" } ], "@context": "https://schema.org" } ```