
DIY AI SEO Brand Audit: Find Your AI Visibility Gaps
Run a DIY AI SEO brand audit to find missing mentions, weak citations, competitor displacement, and inaccurate AI answers before buying monitoring software.
AI Visibility, SEO and GEO Strategist
Technology and fintech leader focused on AI visibility, SEO, GEO, digital products, and practical brand growth.
15+ years in architecture visualization and design communication.
Jowita Chmura works at the intersection of technology, fintech, digital products, SEO, and AI visibility.
Her experience includes product ownership, business analysis, project delivery, and service management for complex technology and banking systems. This background shapes a practical approach to AI search: visibility data is useful only when teams can turn it into clearer positioning, stronger evidence, better content, and measurable next steps.
Jowita researches how systems such as ChatGPT, Gemini, Claude, Perplexity, Copilot, and Google AI experiences understand, mention, compare, and recommend brands.
Her work focuses on:
Since moving into technology and fintech, Jowita has worked across roles including Scrum Master, Business Analyst, Product Owner, and Service Delivery Manager.
Working with complex banking systems has strengthened her focus on accuracy, trust, risk management, evidence, and clear communication between business and technical teams. These same principles are central to responsible AI visibility work.
Jowita writes for founders, agencies, SEO teams, marketers, product teams, and consultants who need useful answers rather than abstract AI trends.
Her articles and resources connect AI visibility findings with concrete actions: improving content, clarifying positioning, correcting outdated information, strengthening proof points, and building repeatable monitoring workflows.

Run a DIY AI SEO brand audit to find missing mentions, weak citations, competitor displacement, and inaccurate AI answers before buying monitoring software.

Learn how AI search visibility differs from SEO rankings, what each metric measures, and how to track mentions, citations, prompts, and competitors clearly.

Fix AI misinformation about your brand by auditing answers, correcting source pages, adding structured facts, and monitoring whether the error returns.

A practical agency workflow for using AIbrandscan to monitor client visibility in ChatGPT, Perplexity, Gemini, Claude, and Google AI answers without selling vague AI SEO.

A practical workflow for tracking brand mentions, citations, competitors, and reporting gaps in Google AI Overviews without pretending it behaves like classic rank tracking.

Learn how to track competitors in AI search results with prompt benchmarks, AI share of voice, citation review, and a monthly report workflow.

A practical step-by-step guide to improving AI search visibility in 2026 with prompt monitoring, citation analysis, competitor tracking, and GEO content fixes.

Learn how to use MCP with coding agents to track AI brand visibility, analyze prompt results, create GEO tasks, and report brand mentions over time.
English-only AI visibility tracking can miss local competitors, local sources, and local-language buyer prompts. Learn how to build a multilingual AI visibility benchmark.

Find out why ChatGPT recommends competitors instead of your brand, how to diagnose the gap, and which AI visibility fixes to prioritize first.

Track how often AI assistants mention, compare and recommend your brand versus competitors across ChatGPT, Perplexity and other answer engines.

AI Brand Scan helps B2B SaaS companies monitor whether AI assistants mention, compare and recommend their product across ChatGPT, Perplexity, Gemini and Google AI Overviews.

AI Brand Scan helps marketing teams find where AI assistants mention, compare and recommend competitors instead of their brand across ChatGPT, Perplexity, Gemini and Google AI Overviews.

Learn how to use AI Brand Scan with Codex or Claude Code to turn AI visibility gaps into scoped GEO tasks, content fixes, internal links, and reports.
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