From AI search visibility to customer experience and risk intelligence, we help organizations turn complex business questions into clear, evidence-led recommendations.
Explore our developing portfolio of research-led assessments. Each engagement begins with a defined question, transparent evidence, and recommendations tailored to the available information.
Challenge. Prospective buyers increasingly ask AI assistants for recommendations, but businesses may not know whether they appear or how accurately they are described.
Our approach. We test relevant buyer questions, review publicly available evidence, and map visibility gaps.
Deliverable. An evidence-based visibility assessment and prioritized improvement roadmap.
Challenge. Revenue can be lost through unclear handoffs, friction, missed follow-ups, and overlooked customer needs.
Our approach. We examine available journey data and operational signals to identify potential leakage.
Deliverable. A prioritized list of revenue opportunities and measurable improvement experiments.
Challenge. Recurring complaints and slow resolutions can undermine retention and trust.
Our approach. We classify feedback, map service breakdowns, and distinguish observed issues from possible causes.
Deliverable. A customer-friction report with recommended service fixes and tracking metrics.
Challenge. Market positioning shifts faster than internal reports can keep up.
Our approach. We compare public positioning, messaging, customer feedback themes, and competitive signals.
Deliverable. A competitive landscape briefing with differentiators and opportunities.
Challenge. Teams may have plenty of metrics but limited clarity about what to improve.
Our approach. We organize performance indicators around business decisions and investigate anomalies.
Deliverable. A practical scorecard framework and prioritized operational recommendations.
Challenge. Business opportunities can be difficult to compare consistently.
Our approach. We structure market, business-model, and risk evidence for preliminary opportunity screening.
Deliverable. A research brief highlighting assumptions, open questions, and due-diligence priorities.
Challenge. Emerging technology, customer, and industry changes may be missed.
Our approach. We track relevant public developments and assess plausible implications.
Deliverable. A forward-looking signals brief and monitoring priorities.
Challenge. AI-assisted support and workflows can produce inconsistent or misleading responses.
Our approach. We design test scenarios and evaluate outputs for quality, reliability, and escalation needs.
Deliverable. A quality evaluation report with recommended safeguards and human-review checkpoints.
Challenge. Potential partnerships and acquisitions require structured early screening.
Our approach. We organize publicly available company, market, and strategic-fit information.
Deliverable. A preliminary opportunity profile and questions for formal due diligence.
Challenge. Customer trust can erode when processes, messaging, or AI systems are inconsistent.
Our approach. We identify observable trust risks and review documented control gaps within the agreed scope.
Deliverable. A risk register and recommendations for responsible escalation.
Challenge. Unrecognized regulatory obligations may expose businesses to costly consequences.
Our approach. We help organize compliance-risk signals and questions for qualified legal advisers.
Deliverable. A preliminary issue-spotting brief—not legal advice or a guarantee against fines.
Challenge. Complex decisions involve competing evidence, trade-offs, and uncertainty.
Our approach. We structure scenarios, assumptions, and decision criteria.
Deliverable. A decision brief explaining options, risks, and next steps.
These are developing service offerings; availability and scope are confirmed individually. We do not claim access to private company systems without authorization. LegalShield and InvestIQ do not replace qualified legal or financial advice.
We believe useful intelligence should be clear, evidence-led, and tied to decisions—not just another dashboard.
Define the business question and the signals worth investigating.
Review available evidence, compare findings, and identify limitations.
Prioritize actionable opportunities, safeguards, and next steps.
Our goal is to make complex business challenges easier to understand and act on.
Our preliminary AI Visibility evaluation sample explores how AI assistants respond to software-acquisition research questions, including which businesses are surfaced, how answers differ, and where clearer evidence could improve discoverability.
The example is an independently prepared demonstration using public-facing information and test prompts. It is not a commissioned audit, an endorsement, or evidence of an engagement with any company discussed.
Request a sample assessment →Choose realistic queries relevant to the business and its market.
Record visibility, representation, evidence, and inconsistencies.
Translate findings into content, positioning, and measurement actions.
SALMAG AI is an emerging Canada-based business intelligence and AI solutions venture with an international outlook. We are developing a portfolio of research-led assessments and consulting services spanning AI visibility, customer experience, growth, and operational decision support.
Tell us your business challenge, your industry, and the decision you need to make. We’ll discuss a suitable assessment scope before any work begins.
Email hello@salmagai.com →