A 90-day system to get your brand on AI shortlists and tie every gain to pipeline.
Quorvai's methodology is built on one principle: AI citation gains that cannot be connected to revenue outcomes are not worth reporting. Every phase of our engagement is designed to produce measurable movement in marketing-sourced pipeline, sales-accepted opportunities, and CAC, not just citation counts.
Citation Baseline and Competitive Gap Audit
Map exactly where your brand stands across all five AI platforms before we build anything.
Authority Architecture Build
Build the specific signals AI models use to identify credible, citable vendors in your category.
Citation Growth Measurement and Revenue Mapping
Track citation gains weekly and connect every improvement directly to pipeline outcomes.
Before we build anything, we map exactly where your brand stands. We run a structured citation audit across ChatGPT, Claude, Perplexity, Gemini, and Copilot using the specific queries your target buyers use when researching your category.
We document which competitors appear, how they are described, how consistently they are cited, and what signals appear to be driving their citation authority. We cross-reference this with your current pipeline data to establish a baseline that connects AI presence to revenue metrics from day one.
- Full citation mapping across all five AI platforms Structured audit covering your category and use-case queries across ChatGPT, Claude, Perplexity, Gemini, and Copilot.
- Competitive citation share analysis Who owns the shortlists you should appear on, how consistently they appear, and why AI models are selecting them.
- Signal gap diagnosis The specific structural and semantic inputs your brand is missing that prevent consistent citation.
- Pipeline baseline documentation Clean attribution groundwork connecting AI presence to your revenue metrics from day one of the engagement.
- Category query set built from real buyer language The exact queries your buyers use to research vendors in your category, not assumed search terms or generic prompts.
The core of the Quorvai engagement is building the specific signals that AI models use to identify credible, citable vendors. This is not a content marketing retainer. It is a targeted authority infrastructure build designed around the exact inputs that drive AI citation in your category.
We work across three signal layers: third-party reference density, category association clarity, and structural semantic consistency. Each layer addresses a different mechanism by which AI models select brands for shortlist inclusion.
Third-Party Reference Density
Placement and syndication in external sources AI models weight when forming vendor opinions, including industry publications, structured data sources, and analyst-adjacent content.
Category Association Clarity
Ensuring your brand is unambiguously associated with a specific problem, outcome, and buyer type across all AI-readable sources, not spread thin across too many use cases.
Semantic Consistency Architecture
Structuring how your brand is described across every touchpoint so AI models encounter a coherent, reinforcing picture every time they retrieve information about you.
- Third-party reference density build Placement and syndication in the external sources AI models weight most heavily when forming vendor category opinions.
- Category association clarity Anchoring your brand to one specific problem, outcome, and buyer type across every AI-readable surface, not spread across too many use cases.
- Semantic consistency architecture Structuring how your brand is described across every touchpoint so AI models encounter a coherent, reinforcing picture on every retrieval.
- Competitive displacement content Targeted content and reference placements designed to reclaim citation share from specific competitors currently appearing in your category queries.
- Cross-platform consistency audit and correction Ensuring your brand description, category positioning, and proof points are consistent across every surface an AI model might retrieve.
- Weekly citation tracking across all five AI platforms Your full query set monitored weekly across ChatGPT, Claude, Perplexity, Gemini, and Copilot throughout the final 30 days.
- Pipeline attribution mapping Connecting AI-sourced inbound to specific citation gains, with clean lines from platform to pipeline movement.
- CAC movement analysis Comparing AI-sourced versus non-AI-sourced acquisition costs to quantify the efficiency gain from citation authority.
- Sales-accepted opportunity tagging Identifying deals where AI citation played a role in discovery, so your revenue team can see exactly where the investment is working.
- CFO-ready final report Citation gains, pipeline attribution, and a recommended continuation strategy. Reported in the revenue language your CFO and leadership team already use.
What you need to have in place before we start.
Quorvai is not a starting-from-scratch marketing service. We are a citation authority specialist for B2B SaaS brands that have an established presence and need to translate that presence into AI visibility and revenue attribution.
To get the most from a 90-day engagement, you should have the following in place.
- An active SEO and content program. We build on existing domain authority, not in place of it.
- A defined ICP and category positioning. We sharpen and amplify your positioning, not create it.
- A functioning CRM and pipeline reporting setup. Clean attribution requires clean data.
- A marketing and revenue leadership team aligned on pipeline as the primary success metric.
- A clear competitive set of three to six vendors whose citation share you want to reclaim.
Not quite there yet? If you are still building your SEO foundation or defining your ICP, reach out anyway. We can point you toward what to address first and revisit when the timing is right.
We work best with teams that are ready to tie AI investment to pipeline accountability from day one.
Questions about the methodology.
The most common questions from B2B SaaS marketing and revenue leaders before starting a 90-day citation engagement.
What are the prerequisites before starting with Quorvai?
You need an active SEO and content program, a defined ICP and category positioning, a functioning CRM and pipeline reporting setup, marketing and revenue leadership aligned on pipeline as the primary success metric, and a clear competitive set of three to six vendors. If any of these are missing, reach out and we can discuss what to address first.
How does Phase 1 differ from a standard SEO audit?
A standard SEO audit measures search engine signals. Phase 1 audits AI retrieval signals, which are different in almost every important way. We run real buyer queries across five AI platforms, document how competitors are described and cited, identify the specific semantic and structural gaps keeping your brand off shortlists, and connect the audit findings to your pipeline baseline so every subsequent build decision has a revenue rationale.
How long do the Phase 2 results take to appear in AI platforms?
Most clients begin seeing measurable citation movement during Phase 2, typically between weeks four and seven as the authority architecture takes hold across external sources. By Phase 3, we have enough data to track weekly citation frequency and map specific gains to pipeline movement. The 90-day timeline is designed to deliver both initial results and the compounding foundation that continues improving after the engagement.
Can you guarantee citation on specific AI platforms?
No. AI models determine their own outputs and no external party can guarantee placement. What we can guarantee is that we build the specific signals that demonstrably increase citation frequency in your category, that we measure the results rigorously and transparently, and that we report everything in pipeline terms so you can see exactly what the investment is delivering.
What happens at the end of the 90-day engagement?
You receive a CFO-ready final report documenting citation gains across all five platforms, pipeline attribution mapping, CAC movement analysis, and a recommended continuation strategy. Most clients continue beyond 90 days because the authority architecture built in Phase 2 keeps compounding with sustained input. Continuation engagements are scoped based on the Phase 3 data and your specific pipeline growth targets.
Ready to see where your brand stands today?
Request a free AI Visibility Audit. We will run your category query set across all five AI platforms, show you exactly who is taking the citations you should own, and give you a clear picture of what a 90-day engagement would deliver in pipeline terms.
Every week of AI invisibility is pipeline you cannot recover.
Request your free AI Visibility Audit. We will show you exactly where your brand stands across ChatGPT, Claude, Perplexity, Gemini, and Copilot today, who is taking the citations you should own, and what a 90-day engagement would deliver in pipeline terms for your specific category.
- Where your brand currently appears, or does not appear, across all five AI platforms
- Which competitors are taking the citations you should own in your category
- The specific citation gaps and why they exist based on your signal profile
- A 90-day pipeline impact estimate scoped to your competitive category
Request My Free AI Visibility Audit
No obligation. Delivered within 3 business days.