Reputation signals, made visible.
Across AI answers, media, search and social — VeriQ reveals what shapes perception, then points to what to fix.
Your reputation is no longer only shaped by search results and social posts.
Buyers, journalists, investors and employees increasingly ask AI tools for summaries, comparisons and recommendations.
If AI answers repeat stale claims, omit your official position or recommend competitors, the damage is invisible until it reaches the pipeline.
VeriQ is an AI-native Online Reputation Management platform.
It combines AI visibility audits, media intelligence, social narrative monitoring, competitor tracking, source analysis and practical remediation planning.
Four jobs for reputation-sensitive teams.
Monitor AI answers
Track how ChatGPT, Gemini, Claude, Perplexity and AI search surfaces describe the brand.
Detect reputation risks
Flag factual errors, hallucinations, outdated claims, weak citations and negative framing.
Benchmark competitors
See who gets recommended instead, which sources they own and what narratives they dominate.
Map the fixes
Turn evidence into the right remediation path: pSEO, neutral community posting, profile building, PR, source repair or governance.
From monitoring to reputation command.
VeriQ treats every AI response, article, social thread and citation as an observable reputation signal: what appears, what is missing, which source is shaping the narrative, and what kind of fix is required.
VeriQ covers three reputation surfaces that now feed each other.
AI model reputation
Monitor how answer engines describe, compare and recommend the brand.
Traditional media intelligence
Track press, news, interviews, articles and third-party sources that AI systems cite or summarize.
Social narrative monitoring
Watch X, Reddit, forums and public conversations for issues, claims, sentiment and amplification risk.
Manage how AI systems represent the brand before buyers see the answer.
Prompt-panel audits
Run category, brand, leadership, trust, comparison and buyer-intent prompts across ChatGPT, Gemini, Claude, Perplexity and AI search.
Answer-layer risks
Detect factual errors, hallucinations, non-mentions, competitor substitution, weak recommendations and missing official citations.
AI visibility actions
Create source updates, FAQ pages, comparison assets, profile corrections and content briefs designed to improve future answers.
Turn public media coverage into a managed reputation evidence layer.
Press and article intelligence
Monitor news, interviews, reports, reviews, podcasts, YouTube transcripts and industry coverage relevant to the brand.
Narrative and citation quality
Identify repeated claims, outdated descriptions, negative framing, missing spokesperson positions and sources likely to influence AI answers.
Media repair queue
Prioritise press-page updates, founder statements, rebuttal material, source-of-truth pages and outreach targets for correction or reinforcement.
Detect early reputation signals from public conversations before they become search or AI narratives.
X, Reddit and forum monitoring
Track public posts, threads, comments, complaints, competitor comparisons, memes and emerging discussion clusters.
Risk and sentiment triage
Separate noise from action: misinformation, customer pain, leadership mentions, product issues, regulatory concerns and coordinated amplification.
Response and escalation playbooks
Recommend response posture, evidence links, holding statements, community replies and escalation paths for sensitive reputation events.
AI answers are often downstream of media and social evidence.
VeriQ connects the loop: social chatter creates claims, traditional media validates or amplifies them, and AI models compress them into answers that buyers trust.
Thread, complaint, competitor claim or emerging narrative.
Article, interview, review, report or third-party reference.
Summarised perception, recommendation or reputational warning.
pSEO, source repair, neutral posting, profile building or PR response.
The ORM signals that matter across AI, media and social surfaces.
AI responses audited across 9 models and 28 queries.
A client-redacted VeriQ audit surfaced 15 threats, 18 factual errors, 329 non-mentions and 9 priority remediation areas.
Reputation work should be grounded in model evidence, not guesswork.
- Overall exposure score: 52 / Weak.
- Strongest category: Reputation 75; weakest category: Discovery 18.
- Threats included leadership misattributions and inaccurate competitive references.
Audit → diagnose → fix → monitor.
Prompt panel
Build AI prompts across brand, leadership, trust, competitors and buyer intent.
Signal runs
Collect AI answers plus relevant media, X, Reddit, forum and source evidence.
Risk scoring
Score visibility, accuracy, citations, sentiment, threats and non-mentions.
Evidence review
Extract prompt-level proof, URLs, claims, authors, threads and competitor mentions.
Fix roadmap
Choose the right path: pSEO, neutral X/Reddit posting, profile building, PR, source repair or governance.
Monitoring
Repeat runs monthly or weekly to track movement and emerging risks.
For any entity whose public narrative affects trust, sales, hiring or leadership perception.
Conglomerates
Group-level reputation, cross-company narratives, leadership visibility and portfolio risk across multiple sectors.
Businesses of all sizes
Startups, SMEs and enterprises that need to know how AI, media and social describe them.
Leadership + personal brands
Founders, CXOs, public figures and expert profiles where personal reputation influences company trust.
Products + sub-brands
Individual products, group brands, business units, launches and category-specific offerings that need separate reputation tracking.
Start with an audit. Expand into recurring monitoring and remediation.
Fast ORM audit
25–50 AI prompts, high-level media/social scan, 3–5 competitors and a practical fix map.
Core engagement
100–250 prompts, competitor benchmark, traditional media review, social risk scan, source audit and remediation roadmap.
Recurring layer
Monthly or weekly AI, media and social runs with deltas, alerts, dashboards and refreshed fix priorities.
Not a generic ORM dashboard. Not just GEO rank tracking.
Traditional ORM tracks search, reviews, media and social chatter. GEO tools track AI visibility.
VeriQ connects both: it shows how AI systems synthesize the public evidence layer, where the brand is exposed, and exactly what to publish, correct or strengthen.
Deploy VeriQ as a controlled ORM pilot.
Start with one entity: a group, company, leader, product or sub-brand. Run the signal audit, identify what needs fixing, then execute the right remediation path.
NotYourIdea
AI reputation audits / media intelligence / social narrative monitoring / pSEO / neutral posting / profile building