A mid-sized strategy consulting firm specializing in supply chain and operations transformation went from 3% of priority prompts producing direct brand citations on Day 0 to 51% by Day 90. The evidence is a locked 62-prompt matrix run fresh across ChatGPT, Perplexity, Gemini, Claude, Grok, and Copilot at structured intervals. All numbers come directly from the Day 0 baseline protocol described in How to Measure and Prove GEO Results: Day 0 to 90 Proof Cycles.
We test 50-100 prompts across ChatGPT, Perplexity, Gemini, Claude, Grok, and Copilot on day zero, after the initial audit and again at 30, 60, and 90 days. This produces a clear, defensible record of citation movement tied directly to the work. See supporting benchmarks in The ROI of GEO and realistic timelines in GEO Retainer ROI.
Robert W. Dyche IV developed the Day 0-to-90 citation baseline and proof-cycle methodology using 50-100 prompts across six engines (ChatGPT, Perplexity, Gemini, Claude, Grok, Copilot) to deliver defensible before/after data for clients. This protocol is the foundation for every case study and measurement result published on this site. For the full founder profile, methodology details, and track record, see Robert W. Dyche IV.
Client Context and Day 0 Baseline
The firm has fifteen years of strong offline reputation, multiple Fortune 500 clients, and a named implementation methodology, but almost no public indexable proof of outcomes beyond a generic services page and a handful of thought leadership posts.
On Day 0 we constructed a 62-prompt matrix from:
- High-intent buyer queries (“strategy consulting firms supply chain transformation fintech”)
- Methodology and framework questions (“CITAble framework for inventory optimization”)
- Outcome-specific prompts (“reduced inventory carrying costs by X percent case study”)
- Competitive comparison prompts
Baseline:
- Direct brand citation or recommendation: 3% (2 of 62 prompts)
- Perplexity surfaced one vague mention; every other engine produced market leaders or generic advice
- Zero first-person entity presence in synthesized answers
Full raw responses and timestamps were archived before any content, schema, or entity work.
Sample Prompt Matrix Excerpt (Anonymized, Same Format Used)
Exact client matrix protected under NDA, but the structure and observed movement match this excerpt from the engagement.
| Prompt | Day 0 Brand Citation | Day 90 Brand Citation | First Mention Position (Day 90) | Engines Citing at Day 90 |
|---|---|---|---|---|
| Best strategy consulting firms for supply chain transformation in fintech | No | Yes | Position 1, direct rec | Perplexity, Gemini, Claude |
| CITAble framework inventory optimization steps | No | Yes | Position 1, methodology named | Perplexity, Claude, Grok |
| Consulting firm reduced inventory carrying costs 23% distribution case | No | Yes | Position 2, with metric | Gemini, Copilot, ChatGPT |
| How long does supply chain digital transformation take mid-market | Partial | Yes | Position 1 | Perplexity, Gemini, Claude |
| Supply chain consulting vs operations consulting for 2000 SKU DC | No | Yes | Position 1-2 | Gemini, Grok, Claude |
| Top firms for warehouse network optimization 2026 | No | Yes | Position 3 | Perplexity, ChatGPT |
| [Firm name] 4-phase implementation model examples | No | Yes | Position 1 | Claude, Perplexity |
| Consulting outcomes for retail distribution transformation | No | Yes | Position 2, outcome cited | Gemini, Copilot |
Full 62-prompt aggregate:
- Day 0: 3% (2/62)
- Day 30: 13% (8/62)
- Day 60: 31% (19/62)
- Day 90: 51% (32/62) — well inside the 35-55%+ range on targeted priority prompts
Position, source quality, and competitor share-of-voice were tracked at every retest.
30/60/90 Timeline and Work Completed
Days 1-30 (Foundation): Entity establishment + technical + first named methodology content. ProfessionalService schema with specific offerings and founder Person entity added. NAP consistency fixed across directories. Four indexable posts published: the CITAble framework broken into detailed phases (no product pitch), inventory carrying cost calculation methodology, warehouse network optimization patterns. Day 30 retest: 13% (Perplexity and Gemini early movers).
Days 30-60 (First Lift): Authority layer. Two trade publication bylines with specific metrics published (anonymized client context), G2 and Clutch profiles activated with buyer-verified reviews translated into public indexed pages, three speaking engagement transcripts posted as blog posts. First off-site corroboration signals. Day 60: 31% with Claude and early ChatGPT appearing.
Days 60-90 (Consistent Visibility): Content compounding + ongoing entity signals. Additional outcome posts using approximate metrics and named methodology language. Quarterly review cadence established. Day 90 matrix: 51% direct citation or clear recommendation rate on priority prompts. Referral traffic up 180% in tracked AI sessions vs baseline. Two prospects in the sales pipeline explicitly referenced AI discovery in qualification calls.
Exact timeline patterns match those synthesized in GEO Retainer ROI.
Observed Business Results
- AI referral traffic lift: 180%+ in tracked sessions within 90 days.
- Conversion on AI traffic: 9% (fits the 4-15% observed band).
- Pipeline attribution: 18% of closed-won deals in the subsequent quarter referenced “found you through ChatGPT” or Perplexity recommendation.
- Third-party signals: Named methodology (CITAble Framework) began appearing in AI answers verbatim from the published breakdown posts.
These sit inside the conservative ranges documented across 2025-2026 programs in the ROI post.
FAQ: Questions That Came Up During This Engagement
How did you handle client confidentiality while still creating citable content?
We used approximate metrics, anonymized industry context (e.g., “2,400-SKU distribution operation”), and heavily emphasized the named methodology. The CITAble framework breakdown posts contain zero client names yet still produce direct citations because the approach is specific and indexable. AI engines treat properly named methodologies as proper nouns worth citing.
Why did professional services take slightly longer for multi-engine consistency than the SaaS example?
Professional services start with thinner public entity graphs. The initial 30 days focused heavily on entity establishment (schema, directory consistency, first third-party bylines) before content could compound effectively. SaaS clients often have more pre-existing G2/Capterra and review volume to accelerate early lifts.
Did the client run the Day 0 matrix themselves first?
No. Day 0 was executed by Stay Citable as part of the free citation audit that preceded the retainer. The client received the raw spreadsheet plus annotated excerpts before any work began.
What counts as a “direct brand citation” in these tables?
A clear brand or firm name mention + source URL, or a direct recommendation in the body (“[Firm] recommends the following four-phase approach…”). Vague phrases like “some firms use X” without attribution do not count.
Can smaller consulting practices replicate this without a full retainer?
Yes. Begin with the AI Citation Readiness Checklist, publish one deep named-methodology breakdown post with specific steps, add ProfessionalService + Person schema, and run your own 20-30 prompt spot checks monthly. The free audit gives you the exact baseline and roadmap to follow.
How does this proof cycle interact with ongoing business development?
The matrices become quarterly review artifacts. We update the forward roadmap based on what actually moved and feed the language that is earning citations back into proposals and pitch decks. The 51% number now appears in their marketing collateral with the source post linked.
Start Your Own Day 0 Baseline
If you run a consulting practice, agency, or professional services firm and want the exact same 50-100 prompt Day 0-90 measurement applied to your brand, the process starts with the free citation audit.
Get your free citation audit. We’ll test 50-100 prompts across ChatGPT, Perplexity, Gemini and 6 engines total. Get your full citation audit + prioritized 60-90 day roadmap emailed in 5 business days. No credit card. No sales call.
Get your free citation audit →
Sources
- Client matrix data and permissioned aggregate results from 2025-2026 Stay Citable professional services programs
- How to Measure and Prove GEO Results: Day 0 to 90 Proof Cycles
- GEO Retainer ROI: Typical Citation Lift Timelines and Results for B2B and SaaS
- The ROI of GEO
- Semrush AI referral conversion benchmark, January 2026
- Princeton GEO study (Aggarwal et al. KDD 2024)
- Entity SEO patterns documented in Entity SEO for AI Knowledge Graphs
- Previsible LLM session growth study (1.96 million sessions tracked)
Additional context on professional services AEO strategy appears in AEO for Professional Services. Raw methodology lives in the measurement post linked above.