AI Summary
This is the inside view of a 90-day GEO engagement with a B2B SaaS marketing automation client. We’re sharing the process, the results, and the moves that worked, and the ones that didn’t.
Identifying details are anonymized at the client’s request. The numbers are real.
Client background
- Industry: B2B SaaS, marketing automation tools
- Stage: Series A, ~$8M ARR
- Marketing team: 4 people
- Challenge: Zero visibility in AI search; declining organic traffic; competitors getting cited and they weren’t
- Engagement: 90-day GEO Foundations + Growth tier ($8, 500/mo)
What we did, phase by phase
Phase 1: AI readiness audit (Weeks 1-2)
Baselined citation footprint across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews using a curated 80-query test set. Found: zero citations across all engines. Competitor share-of-voice ranged from 3% to 22%. Technical foundations were missing key entity schema, llms.txt, and AI crawler access.
Phase 2: Content strategy and entity foundations (Weeks 3-6)
Implemented Organization, Person, Article schema. Added llms.txt. Confirmed GPTBot crawler access. Author bios upgraded with credentials and sameAs links. Identified 12 existing pages with high citation potential and rewrote them in inverted-pyramid format with FAQ blocks. Produced first new asset: a benchmark study based on the client’s anonymized customer data.
Phase 3: Citation tracking and iterative optimization (Weeks 7-12)
Stood up monthly citation tracking dashboard. Shipped second new asset: a comparison page vs. the top three competitors. Set up monthly reporting cadence. Iterated on existing assets based on which formats engines actually cited.
Results at day 90
| Metric | Day 0 | Day 90 | Change |
|---|---|---|---|
| Citations / month (all engines) | 0 | 12 | +12 |
| ChatGPT citations | 0 | 8 | +8 |
| Perplexity citations | 0 | 3 | +3 |
| Google AI Overviews citations | 0 | 1 | +1 |
| Referral traffic from AI engines | ~0 | +47% vs. baseline | +47% |
| Branded search volume | Baseline | +12% | +12% |
| Category share-of-voice rank | Unranked | #3 of 12 | , |
What worked
- The benchmark study became the most-cited asset (drove ~40% of total citations)
- The competitor comparison page won citations from buyer-intent queries
- Entity foundations had outsized impact, many citations included the author byline
- Inverted-pyramid rewrites of existing pages drove faster citation lift than new content
What didn’t work initially
- Generic ‘thought leadership‘ blog posts without expert credentials saw no citation lift
- AI-generated content drafts (later edited) underperformed human-first drafts on citation rates
- Optimizing for featured snippets had minimal carryover to AI engine citations
Client testimonial
We knew GEO mattered but didn’t know where to start. OrganikPI gave us the audit, did the foundational work, and produced two assets that are now driving most of our AI citations. The monthly reporting is the cleanest we’ve seen in any agency engagement.
VP of Marketing, B2B SaaS Marketing Automation Client
Key takeaways for B2B SaaS marketers
- First citations realistically take 60-90 days, not 30
- Original data assets disproportionately drive citation volume
- Entity foundations are force multipliers, don’t skip them
- Multi-engine tracking from day one, single-engine view misses 60-70% of activity
- Iterate based on what actually gets cited, not what you think should
How OrganikPI’s GEO service works
- Phase 1: Audit and baseline (Weeks 1-2)
- Phase 2: Foundations + first assets (Weeks 3-6)
- Phase 3: Asset velocity + tracking (Weeks 7-12)
- Quarter 2+: Compound and expand
- Pricing: From $4, 500/mo (Foundations) to $9, 500+/mo (Growth)
Frequently Asked Questions
How long until OrganikPI's GEO service produces results?
What's included in OrganikPI's GEO engagement?
How is OrganikPI different from other GEO agencies?
Can you guarantee citations?
Want results like this?
Book a GEO scoping call. We’ll review your current AI visibility and tell you whether a 90-day engagement makes sense for your category.