Are You Recognized?
Does AI understand your company, category, product and ideal use cases accurately?
B2B SAAS AI VISIBILITY DIAGNOSTIC
Charles Brian International shows B2B SaaS companies how they appear across the AI-assisted buying journey, why competitors make the shortlist and which evidence gaps are costing consideration.
See where your company gains or loses the buyer before your next prospect asks ChatGPT, Gemini, Claude, Perplexity or Google AI who deserves a meeting.
VISIBILITY IS NOT THE FINISH LINE
A brand can appear in an AI answer and still lose the buyer. The commercial question is whether the answer gives your company a credible role in the decision.
We follow the buyer from category discovery through comparison, validation and selection to find the precise point where your company gains or loses ground.
Does AI understand your company, category, product and ideal use cases accurately?
Do you appear when the prompt becomes specific to an industry, audience, workflow or constraint?
Does your company enter the competitive set when buyers evaluate serious alternatives?
Does AI position you as a viable choice and explain why a buyer should consider you?
Do credible first-party and independent sources support the claims needed to trust the recommendation?
ILLUSTRATIVE DIAGNOSTIC VIEW
A useful diagnostic should show where the brand appears, how it is framed, which sources influence the answer and what the team should change first.
See Where Your Brand StandsWHAT WE ANALYZE
Every workstream is tied to a buyer decision, a measurable visibility outcome and a practical next action.
We map questions by role, buying stage, use case, objection, requirement and commercial consequence.
We capture how relevant AI environments describe, cite, compare and frame your company.
We identify who appears, who is recommended and where competitors repeatedly outperform you.
We trace the publications, pages, directories, communities and owned content influencing answers.
We separate a passing mention from a credible recommendation that can affect the shortlist.
We find the missing proof, comparison logic, entity clarity and third-party corroboration limiting visibility.
We examine crawl access, indexation, architecture, rendered content, canonical signals and structured data.
You receive an ordered roadmap showing what deserves attention first, why it matters and which team should own it.
OBSERVED CLIENT EVIDENCE
In a defined 756-prompt Google AI Mode study for a blinded enterprise B2B SaaS client, the client was recommended in approximately 45.4% of responses compared with approximately 38% for its primary direct competitor.
Review The B2B SaaS Case StudySee what a buyer-journey benchmark can reveal about your own competitive position.
Request My DiagnosticBUYER-JOURNEY INTELLIGENCE
A buying committee moves through a chain of questions. Visibility must survive as the decision becomes more specific.
What are the best platforms for solving this problem?
Which options work best for enterprise companies like ours?
Compare Vendor A, Vendor B and Vendor C for our use case.
What are the weaknesses, risks and implementation demands?
Which product fits our stack, requirements and buying criteria?
WHAT YOU RECEIVE
The output is designed for marketing, SEO, content, communications, product marketing and executive teams that need a shared view of the opportunity.
Request My DiagnosticCOMMERCIAL FIT
Best suited to categories where the buying committee needs evidence before it accepts a recommendation.
WHAT HAPPENS NEXT
Share your company, commercial priority and the visibility question you need answered.
We assess category complexity, buyer journey, competitive set and whether the diagnostic can produce useful decisions.
If there is a fit, we recommend the engines, prompt families, competitors, markets and evidence sources to study.
You receive a clear scope before any diagnostic work begins. No surprise process and no generic package.
Start with enough context for a useful answer, not a sales pitch.
Request My DiagnosticFREQUENTLY ASKED QUESTIONS
An AI Visibility Diagnostic evaluates whether a company is mentioned, compared, cited and recommended across the buyer questions that shape a purchase. It connects those outcomes to the owned and third-party evidence influencing the answer.
The scope can include ChatGPT, Google AI experiences, Gemini, Claude and Perplexity. The final engine mix is selected around the places your buyers are most likely to research your category.
Prompts are mapped to real buying stages, roles, use cases, objections, comparison criteria and implementation questions. The goal is to model a decision journey, not generate a long list of generic category prompts.
A dashboard reports what appeared. The diagnostic investigates why those answers appeared, which sources supported them, where competitors won and which technical, content or authority changes deserve priority.
Yes. Findings are organized into a prioritized roadmap covering the most consequential content, technical retrieval, entity, evidence and third-party authority opportunities.
Charles Brian International reviews your company, category and stated objective. If the diagnostic is a fit, we will recommend an initial scope for the buyer journey, competitive set, markets and AI environments that matter most.
THE NEXT BUYER IS ALREADY ASKING
Request a fit review for an AI Visibility Diagnostic built around your category, buyers and commercial priorities.
Request My Diagnostic