IT Consultant Software Engineer Philippines

AEO CASE STUDIES — REAL OUTCOMES

AEO Case Studies: What Actually Worked in 2025-2026

Most "AEO case studies" published in 2026 are barely-disguised vendor pitches. These are honest write-ups of brands that actually moved AI citation share — what they did, what the lift was, and what failed along the way.

AEO is new enough that most published case studies are vendor-sponsored stories with cherry-picked outcomes. This page collects honest case studies from real engagements (some I worked on, some I observed from the outside) showing what actually moves AI citation share in 2025-2026. Numbers where I have them, gaps acknowledged where I do not, and counter-examples of what failed alongside the wins.

6-14 wks

Typical first measurable citation lift

20-40%

Citation share gain on targeted queries (90-120 days)

3

Counter-examples of what NOT to do

Patterns across the case studies that worked

1

Started narrow, expanded later

Every winning AEO case study I have seen started by targeting 5-15 specific queries (long-tail, niche, "best X for [specific use case]") rather than going for category-broad terms. They won the niches first, then expanded to broader terms after building citation authority.

2

Restructured existing content rather than writing from scratch

Most wins came from taking existing high-traffic blog posts and adding explicit Q&A structure, FAQPage schema, fact density. Cheaper and faster than greenfield content production, and existing content already had backlink authority to leverage.

3

Combined on-page work with citation outreach

On-page only: slow lift. Citation outreach only: lift but no compounding. Combined: citation share moved 20-40% in 90-120 days. The pattern that works is both lanes simultaneously.

4

Tracked competitor citation share, not just absolute mentions

Brands that tracked "we are cited 8% of the time vs competitor X at 23%" had clear roadmaps. Brands that just tracked "we got 12 citations this month" had no benchmark to act on.

What this engagement covers

  • Mid-market SaaS — restructured 40 product/comparison pages with Q&A + FAQPage schema. Citation share rose from 8% to 31% on top-20 buyer queries within 14 weeks.
  • B2B services firm — built 12 use-case pages targeting niche "X consultant for Y industry" queries. Reached top-3 citation slot on 9 of 12 within 90 days due to uncrowded query space.
  • D2C ecommerce brand — added Product + Review schema to 200+ catalog pages. Lift was modest on AI citations (~12%) but significant on Google Rich Results (review stars on listings).
  • Local services business — focused entirely on LocalBusiness schema + Google Business Profile signals. AEO lift was secondary; primary win was Google Maps + classical local SEO.
  • Enterprise SaaS — invested in 50+ podcast/conference appearances + expert round-up pieces over 9 months. Citation network compounded into a measurable lift starting month 6 — slow but durable.
  • Counter-example — generic AI-generated content blast: 200 thin posts published over 4 months, near-zero AI citation pickup, classical Google rankings dropped. Quality wins, volume alone does not.
  • Counter-example — schema markup without quality content: implemented all schema types on existing thin content. Schema validated, AI citations did not move. Schema is necessary but not sufficient.
  • Counter-example — buying citations through dubious "directory" services: brief lift, then AI engines stopped weighting those sources. Lasting 0% lift, $4k spent.

Frequently asked questions

Can you share specific brand names from these case studies?

Most are under NDA — clients prefer not to disclose AEO investment publicly because the playbook is competitive advantage. The patterns above are consistent across multiple engagements regardless of brand name. We can share anonymized specifics on a discovery call.

How quickly did these brands see real revenue impact, not just citation lift?

For SaaS brands measuring demo requests: 4-6 months from start to attributable revenue lift. For ecommerce: faster (8-12 weeks) because the buying journey is shorter. For services firms: slowest (5-8 months) because of long sales cycles, but durable once it kicks in.

What were the brands' biggest mistakes that slowed results?

In order of frequency: (1) trying to win category-broad queries before niche queries, (2) treating AEO as a content-only play and skipping schema work, (3) launching AEO without first fixing technical SEO foundations, (4) giving up at month 2 before lift compounds.

How much did these case studies spend in total?

Range: $5k for the small services firm engagement (3 months, narrow scope) up to $80k for the enterprise SaaS engagement (9 months, multi-channel). Median for measurable mid-market wins: $15-30k over 4-6 months.

Can my brand expect similar results?

Honest answer: it depends on category competitiveness, existing content authority, and willingness to commit to 4-6 months before evaluating. Brands in uncrowded categories with decent existing SEO authority see fastest results. Brands fighting in crowded categories with weak existing authority need longer runway.

Ready to talk specifics?

30 minutes, no slides, no pitch — just a working session on your engagement.

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