Howseen AI

Howseen AI is an AI visibility tool for brands, marketers and agencies that tracks how a brand is recommended across ChatGPT, Gemini, Perplexity, Google AI Overviews and Google AI Mode. Its stated purpose is to help companies make AI their next growth channel: it measures how you are seen when buyers ask AI tools what to buy, and works to ensure the brand the AI names is you. The platform brings AI visibility tracking, competitor benchmarking, citation tracing, a GEO action plan and content generation together in one screen. The problem Howseen AI addresses is a shift in how buyers choose products. The site explains that buyers now ask ChatGPT, Gemini and Perplexity which tool or brand to buy, and the AI answers with a shortlist. According to the content, the brands cited in community threads, review sites and editorial make that shortlist, while the rest never come up. Howseen frames this as a new distribution channel: every day, buyers pick tools from AI answers, so being named in those answers matters. The founder states, "I believe the best product doesn't win, the most visible one does. The shelf just moved to AI, and Howseen makes sure yours gets seen." The core of the product is AI visibility and performance tracking. Howseen recaps visibility, share of voice, sentiment and a next action, tracked across ChatGPT, Perplexity, Gemini and Google AI. It shows brand visibility, share of voice and a sentiment score that compares how AI talks about you versus competitors on a -9 to +9 scale, derived from how AI describes each brand in tracked answers. A visibility-by-platform view breaks performance down per AI surface, and a brands table ranks you and competitors by visibility, share of voice, sentiment and position. This lets a team see, at a glance, whether they are named in AI answers and how that compares with the competition. Prompt tracking is the second pillar. The site argues that buyers ask full questions now, not keywords, so Howseen tracks every prompt that matters across every AI surface. You can add the prompts you want to win from day one, get high-intent suggestions from real search data, and see visibility and sentiment per prompt, per model, every 3 days. Prompts are organized by topic and tagged with intent such as buying intent, comparison or learning. A prompt table shows visibility, sentiment, position, mentions, citations, share of voice, location and when each prompt was added, making clear exactly where a brand appears and where it does not. Competitor benchmarking and citation tracing complete the measurement layer. Howseen lets you see who the models recommend when buyers compare options, right next to the recorded answer, benchmark visibility, sentiment and position against every competitor, watch AI share of voice move with each run, and spot the exact prompts where a competitor replaced you. The competitor view includes a brand comparison table, a brand-by-model heatmap, and a prompt-by-brand ranking matrix showing the top brands AI cites per tracked prompt. Because LLMs don't cite at random, Howseen traces every answer to the pages it cited, mapping each citation to its domain, page and source type so you can find the review sites, forums and wikis the models trust and prioritize outreach by how often each domain gets cited. A technical audit flags what blocks Google and AI models from reading and citing your site, covering page speed, LLM optimization, SEO optimization, indexability, sitemap.xml, robots.txt, LLMs.txt, server-rendered content, Bing indexing and trust signals. From measurement, Howseen moves to action with an action plan and content agents. Data-driven recommendations are built from citation patterns, competitor gaps and prompt performance, each tagged with priority, type (off-page, technical or content), AI engines and effort, alongside a GEO score broken into technical, off-page and content components. Content agents then turn every gap into a scheduled article written from your real buyer prompts in your voice, pushed straight to your CMS. The content plan pre-plans buyer prompts across the month, generating, queuing and publishing drafts; one-click publishing is supported to WordPress, Shopify and Next.js, and there is a recurring content calendar designed to close gaps automatically. Content is structured for specific engines, such as research pages structured so ChatGPT can cite them, product listicles created so Google AI shows them in product searches, and explainer pages written so Perplexity pulls them into detailed answers. The product's methodology is a closed loop rather than a score. Most tools stop at a score, whereas Howseen measures and then acts: it tracks where AI recommends you, benchmarks you against competitors, traces the sources that feed the answers, and publishes the fixes on a schedule. The site describes it as going from invisible to cited on autopilot, and as an agent that acts, not a dashboard that hands you a score. Everything that decides whether AI recommends you, from tracking to competitor share of voice to content and off-page citations, is brought together in one screen instead of being scattered across a dozen tools. The benefits Howseen claims center on clarity and momentum. Branded versus unbranded visibility, who gets cited ahead of you, and the exact sources behind every answer are surfaced without inflated numbers, which the company frames as "no black box". Every scan feeds a trend so you can watch your share of voice climb week after week, alongside analytics for AI-referred visits, average position and answers appeared in. The recurring content calendar keeps closing gaps, so improvement is continuous rather than a one-off audit. The site also highlights that a lead in sentiment is a real edge because AIs stay mostly neutral. Concrete scenarios in the content include an ecommerce activewear brand tracking prompts such as "best gym leggings for squats" or "most durable workout leggings", spotting gaps where AI recommends a rival instead, and then generating comparison guides, how-to posts and resource lists like "Gymshark vs Lululemon" or "affordable Lululemon alternatives" to win those prompts. Other example questions the tool is designed around include "Best CRM for B2B companies?", "What payroll tool do startups use?", "Cheapest email marketing software?" and "Which project management tool do agencies use?". Agencies use Howseen across all their client brands and share white-label reports, turning GEO into a recurring service they can sell. Howseen AI is a web platform aimed at brands and agencies that want to be recommended by AI. It tracks any AI engine including ChatGPT, Gemini, Perplexity, Google AI Overview and Google AI Mode, supports tracking and analysis in every market and location and content generation in every language your buyers speak, and includes prompt personas with ICP match prompts. Publishing integrations listed are Shopify, WordPress and Next.js. The site offers a free scan to test your AI visibility in 30 seconds with no card required, plus a demo booking link for deeper evaluation. In short, Howseen AI's primary value proposition is to turn AI from an opaque question mark into a measurable, actionable growth channel: it shows whether ChatGPT, Gemini, Perplexity and Google AI name your brand, explains why through citations and competitor benchmarks, and then generates and auto-publishes the GEO-optimized content needed to get you cited.