Generic AI audits miss the point.
Targence starts with the decision your business needs to make, then builds a custom lens around your buyers, market, competitors, evidence, and desired outcomes.
The lens becomes the guide
It shapes who the AI is asked to represent, which questions are tested, how evidence is evaluated, and which actions rise to the top.
- 1Business goals, buyers, competitors, product truth, messaging, support friction, and risk.
- 2Buyer, analyst, critic, and decision-maker perspectives designed around the real market.
- 3An inspectable chain from prompt to answer, evidence, finding, implication, and recommended action.
From business context to your next best move.
Each stage narrows uncertainty, strengthens the evidence, and turns machine perception into a decision-ready plan.
Intake Session
Clarify the decision, buyers, goals, competitors, product truth, messaging, friction, and risks.
Lensing Exercise
Translate context into personas, prompts, comparisons, evidence standards, and analytical priorities.
Frontier Run
Test how leading AI systems describe, evaluate, compare, trust, hedge, omit, and recommend.
Evidence Review
Trace the claims, citations, repeated narratives, contradictions, and proof gaps shaping the answers.
Analyst Validation
Separate meaningful market signals from model noise and connect findings to business consequences.
Perception Briefing
Deliver prioritized actions, supporting evidence, and an interactive view teams can put to work.
Built around the decision, not a canned prompt list.
The same company can look very different through the eyes of a buyer, analyst, channel partner, customer, critic, or investor. Lensing makes those differences explicit before the run begins.
What needs to become clearer, stronger, or more credible?
We identify the actual business outcome: win more comparisons, support a launch, repair category confusion, strengthen trust, improve recommendation likelihood, or expose a competitive threat.
Whose perspective matters in the buying moment?
We build persona lenses around the people and systems evaluating the company, including the priorities, objections, terminology, and evidence each perspective is likely to weigh.
Which alternatives and narratives shape the answer?
Competitors, adjacent categories, legacy perceptions, analyst language, customer proof, review ecosystems, and third-party claims are mapped into the research design.
What should count as credible evidence?
We distinguish owned claims from independent proof and assess recency, specificity, authority, consistency, accessibility, and whether AI systems can actually find and use the evidence.
Which moves can change the outcome fastest?
Findings are translated into sequenced actions across product and positioning, website and access, owned content, earned proof, community voice, and visibility signals.
The Perception Briefing
A Briefing can include
- Cross-engine patterns in descriptions, comparisons, recommendations, hedges, and omissions.
- Prompt-level answers and evidence that can be inspected rather than reduced to a mystery score.
- Competitive narrative adoption and places where rivals are defining the category on your behalf.
- Gaps between intended positioning, market proof, audience belief, and AI perception.
- Prioritized actions tied to business consequences, owners, and the evidence expected to change the outcome.
- An interactive platform view for exploring findings by persona, topic, engine, competitor, or action area.
A lens turns a broad AI audit into decision intelligence.
Without business context, AI research produces generic observations. With a lens, the work can answer the questions leaders actually care about.
Built around your market
Prompts, personas, competitors, and evidence are specific to the company, category, buyers, and decision.
Backed by inspectable proof
Teams can see the answer patterns, supporting sources, missing evidence, and the reasoning behind each finding.
Designed to change outcomes
Recommendations are prioritized by consequence and translated into work marketing, PR, content, product, and strategy teams can execute.
AI has formed a second reputation about you.
Discover how AI really sees you, why it’s becoming a business-critical issue, and how to wisely manage it.