Case studies in marketing are usually disguised sales pitches. This post is an honest look at three AEO campaigns, what worked, what didn’t, and what the actual ROI looked like. All three are composites drawn from real client work, with specifics generalized for confidentiality but tactics and timelines kept accurate.
Case Study 1: B2B SaaS in Accounting
Company profile: Mid-market accounting software serving small accounting firms. Approximately $12M ARR when the AEO program started. Sales team of 8 focused on outbound and channel partnerships. Limited inbound pipeline from content and search.
The problem: The company was losing prospects who were researching alternatives on ChatGPT and Perplexity. When asked “best accounting software for small firms” or “alternatives to [competitor],” AI products consistently named three larger competitors without mentioning this company. Sales reps heard the same objection repeatedly: “I asked ChatGPT and they said [competitor] is the leading option.”
The program:
Month 1-2 (foundation):
- Baseline prompt tracking across 120 commercial queries. Company appeared in 0 of them.
- Entity audit: Wikipedia page was thin, Crunchbase profile incomplete, schema markup missing from most pages.
- Rebuilt Organization schema on the website, fleshed out Crunchbase profile, and submitted a Wikidata update.
- Identified target publications: Accounting Today, Journal of Accountancy, CPA Practice Advisor, and Inside Public Accounting.
Month 3-6 (content and outreach):
- Published 18 pillar articles on specific accounting software topics, structured for AI extraction.
- Pitched story angles to each of the 4 target publications. First placement landed in month 4 (Accounting Today feature on SMB accounting trends).
- Launched a quarterly benchmark survey of small accounting firms. First results release in month 5 generated coverage in CPA Practice Advisor and a mention in Forbes (contributor piece).
- Built out the help center with 60+ question-answer pages tied to common user searches.
Month 7-12 (expansion):
- Second press placement in Journal of Accountancy.
- Third placement in Inside Public Accounting.
- Published comparison content for each of the top 3 competitors.
- Engaged with r/accounting and r/smallbusiness on Reddit, answering questions substantively without promotional language.
- Launched a podcast series with leaders from accounting firms, building back-catalog content that AI products could cite.
The results (month 12):
- Prompt visibility went from 0 of 120 queries to 34 of 120 (28%).
- Framing improved from “not mentioned” to “named as an SMB-focused option” in most queries where the company appeared.
- Inbound pipeline from content-referred sources increased by 41% year over year.
- Sales reps reported fewer “ChatGPT said my competitor is better” objections.
- Three enterprise customers specifically cited AI product recommendations as the reason they evaluated the company.
The ROI math:
- Program cost: approximately $14,000 per month averaged across the year ($168,000 total).
- Attributable new revenue from AI-influenced opportunities: approximately $430,000 in the first 12 months, with higher expected in year 2.
- Estimated first-year ROI: 2.5x, with compounding expected.
What worked: Press coverage and comparison content. The Accounting Today and Journal of Accountancy placements showed up in AI product responses within 4-6 weeks of publication and drove most of the visibility gains.
What didn’t work: Podcast content was slower to pay off than expected. Podcasts are hard for AI products to index, and the ROI on that channel was delayed into year 2.
Key lesson: For B2B SaaS, trade publication coverage is dramatically more productive than general business press. Four placements in the right four publications moved the needle; two placements in broader outlets wouldn’t have.
Case Study 2: Consumer DTC Skincare Brand
Company profile: Direct-to-consumer skincare brand with three core products. Approximately $6M annual revenue at program start. Predominantly acquisition-driven through paid social.
The problem: Rising paid acquisition costs were squeezing margins. The brand wanted to build organic demand through AI product recommendations (ChatGPT, Perplexity) and had seen competitors gaining ground in AI responses to queries like “best sensitive skin moisturizer.”
The program:
Month 1-2 (foundation):
- Prompt inventory: 80 queries about skincare recommendations. Brand appeared in 2 responses (both incidental mentions, not recommendations).
- Product page overhaul: added detailed ingredient lists, specific use cases, comparison information, and FAQ schema.
- Cleaned up Organization and Product schema markup.
- Identified target editorial outlets: Allure, Byrdie, Refinery29, Into The Gloss, and Wirecutter.
Month 3-6 (outreach and content):
- Sent product samples to beauty editors at each target outlet with personalized pitches tied to specific angles.
- First placement in month 4: Byrdie roundup of “best moisturizers for sensitive skin” included the brand’s hero product.
- Launched a dermatologist partnership series where independent dermatologists reviewed the formula and wrote honest (sometimes critical) assessments for the brand’s blog.
- Engaged with r/SkincareAddiction on Reddit through the brand’s founder, who answered formulation questions without promotional language.
Month 7-9 (amplification):
- Second editorial placement in Allure newsletter (not a print feature, but a widely-shared piece).
- Wirecutter testing inquiry arrived unsolicited, led to testing but no placement (Wirecutter chose a competitor for the final guide).
- Published comparison content against 4 direct competitors on the brand’s blog.
- Partnered with 3 micro-influencers who do “ingredient review” content on YouTube.
Month 10-12 (scale):
- Third placement in Refinery29.
- First mention in a Wirecutter “also considered” section in a broader guide.
- Strong growth in Reddit discussion volume, with the brand mentioned organically in 40+ threads.
The results (month 12):
- Prompt visibility went from 2 of 80 to 21 of 80 (26%).
- Organic search traffic increased by 62% year over year.
- Direct-typed-in traffic (brand name searches) increased by 28%.
- Paid acquisition CAC decreased by 18% as organic and referred traffic scaled.
- Reddit mentions became a leading indicator of AI citations (the brand showed up more in AI responses about 4-6 weeks after major Reddit discussion).
The ROI math:
- Program cost: approximately $8,500 per month average ($102,000 total) plus roughly $30,000 in product samples and dermatologist partnerships.
- Attributable revenue impact from organic growth: approximately $380,000 in the first year.
- First-year ROI: 2.9x, with strong compounding expected in year 2.
What worked: Sample-based editorial outreach and honest dermatologist reviews. The editorial placements produced direct AI visibility, and the dermatologist content gave AI products high-trust source material for formula-related questions.
What didn’t work: Paid influencer content with generic sponsored language had negligible AEO impact. AI products increasingly discount sponsored content, and the paid posts didn’t move the needle.
Key lesson: For DTC beauty, sample-based editorial is the dominant lever. Paid influencer work is useful for other goals but not AEO.
Case Study 3: B2B Services Firm
Company profile: Mid-market consulting firm specializing in cybersecurity compliance for healthcare companies. Approximately 40 employees. Sales entirely through referrals and direct outbound.
The problem: The firm had no inbound pipeline at all. Prospective clients couldn’t find them in AI product responses to queries like “cybersecurity consultants for healthcare” because the firm had essentially no web presence beyond a basic website.
The program:
Month 1-3 (foundation and pain-first content):
- Prompt inventory across 60 queries in the category. Firm appeared in zero responses.
- Website rebuild with schema markup, case study pages (anonymized), and 12 detailed service pages.
- Published a series of “common compliance failures” articles drawn from the partners’ actual experience.
- Began guest posting on healthcare industry publications (Healthcare Dive, Fierce Healthcare).
Month 4-8 (authority building):
- Published two primary research reports based on anonymized data from past engagements.
- Senior partner placed op-ed in The Hill about HIPAA enforcement trends.
- Second primary research report generated coverage in Healthcare IT News.
- Founding partner began speaking at industry conferences (3 in month 5-8).
- Launched weekly newsletter that grew to 1,800 subscribers and was referenced in industry media.
Month 9-12 (momentum):
- Third research report with a new angle.
- Second op-ed placement, this time in Modern Healthcare.
- Senior partner quoted in Bloomberg Law piece on healthcare cybersecurity enforcement.
- AI visibility finally ticked up: firm appeared in 8 of 60 prompts by month 12.
The results (month 12):
- Prompt visibility: 0 of 60 to 8 of 60 (13%). Lower than the other case studies but in a more concentrated niche.
- First-ever inbound leads from content (4 qualified opportunities in the last quarter of year 1).
- Newsletter became a primary referral source for senior partners.
- Firm secured 3 speaking slots at major industry conferences for the following year, partially because of the accumulated thought leadership.
The ROI math:
- Program cost: approximately $9,000 per month ($108,000 total).
- Attributable new revenue (first-year deals from inbound): approximately $185,000, partially because of long sales cycles in healthcare consulting.
- First-year ROI: 1.7x, with much stronger second-year expected as the compounding matured.
What worked: Primary research and op-ed placements. Research reports gave AI products unique data to cite, and op-eds in authoritative publications built the entity authority from nothing.
What didn’t work: Generic “compliance tips” blog content. The lightweight content didn’t move anything. Only the original research and executive byline content moved visibility.
Key lesson: For niche B2B services, you can afford to go deeper and narrower. Eight queries out of 60 is a smaller number than the other case studies, but in a tight niche with high-value deals, each query win is worth more.
Patterns across the three
Several themes emerged across all three case studies.
Press coverage drove the visibility. Every case study had earned editorial placements as the primary visibility driver. Content alone was necessary but not sufficient.
Timelines were 6-12 months for meaningful results. No case study produced significant visibility change in the first 90 days. Expect patience, not shortcuts.
First-year ROI was modest; compounding was the real story. All three case studies produced positive but not eye-popping first-year ROI. The real value showed up in year 2 and beyond as the entity authority compounded.
Trade/vertical publications mattered more than general business press. For B2B cases especially, three placements in the right niche publication outperformed ten placements in broader outlets.
Schema and entity work enabled everything else. None of the content or press work would have moved the needle without the underlying entity cleanup. Skipping that step would have limited all the other tactics.
What to do with this
If you’re evaluating whether AEO is worth investing in, these case studies offer a realistic picture: positive ROI in year 1, stronger ROI in year 2, and requirements for real budget and real patience. Brands looking for faster, cheaper, or bigger results should either invest more heavily or accept that AEO is not the right tool.
If you’re already running an AEO program, benchmark against these patterns. Are you building on earned press as the anchor? Are you patient with 6-12 month timelines? Are you investing in entity foundations before pursuing content or press tactics? If not, the program is probably underperforming what it could achieve.
AEO is a slow, compounding investment. The brands that win treat it that way.