Visiby

Visiby is an AI visibility platform that measures and grows how brands appear across AI search platforms, including ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews and Copilot. It acts as a visibility layer for the AI-search era, mapping entity presence across the top AI engines so marketing teams can see where they are recommended, where they are missing, and which competitor is being cited instead. The product is built for marketing operators and agencies who need to own the answer layer rather than only rank in traditional search results. Vendor discovery has moved. According to the content, 1 in 3 B2B buyers now start vendor research inside an AI assistant, and ChatGPT, Perplexity, Google AI Overviews, Gemini and Copilot are quietly intercepting traffic that used to land on a company's site — if the model does not surface the brand, the conversation never starts. The site states that 62% of enterprise marketers are already optimising for AI engines, citing the State of AEO 2026 from FNA Research, while the well-funded brand in a category treats Answer Engine Optimisation as a budget line whose citations compound week over week. Meanwhile, Visiby argues that zero tools in a typical stack measure what AI is saying about a brand: Semrush ranks, Ahrefs ranks, GA counts clicks, but none of them sample prompts, parse model answers, or explain why ChatGPT recommended a competitor instead of you. Visiby exists to close that blind spot with a continuous, prompt-level view of AI answers. The workspace opens on an Overview that serves as the weekly headline: search performance, AI visibility and the next moves the team should ship, readable in 90 seconds. Headline scores include Visibility, Share of Voice, Prompts won and Briefs ready. Search Performance explains a brand's organic traffic and click-through rates, tracking clicks over 28 days with month-over-month change, impressions, click-through rate and average position across tracked non-brand terms. AI Visibility shows where a brand appears and where it does not, presenting per-engine citation share across every prompt in the universe, with each cell clickable to reveal the underlying answer. In the illustrated workspace, ChatGPT sits at 42%, Perplexity at 51%, Claude at 34%, Gemini at 24% and AI Overviews at 18%. The Prompts Explorer is a workbench for the full prompt universe — more than 50,000 AI prompts are tracked weekly, and the sample workspace shows 50,127. It supports stacked filters, a cluster view and a three-way live answer diff, and each row drills into which competitor was cited, why, and the play to win the prompt back. The Citations Explorer works beneath the prompt universe across every URL the engines cite — 2,418 URLs in the example — ranking every cited URL and identifying honey-pot pages, dead-weight pages and counter-content briefs, with passage-level provenance. The Brand Entity module shows the adjectives a brand owns and the ones owned against it across engines, with per-engine portraits and reframe plays to move them; the sample adjective sets include trustworthy, established, enterprise, scalable, innovative, modern, consultative, agile, long-tenured and data-driven. Competitor Intelligence reads the field at a glance, presenting citation share by brand and topic with clickable cells that drill to the prompts and passages behind them, plus a per-competitor recipe diff comparing cited elements across engines, such as H2 headings, FAQ blocks, tables and lists. Recipe Intelligence delivers a per-engine pulse on which on-page element the AI is actually extracting from, producing the structural blueprint a team should publish to; Visiby reports that seven elements are tracked, including H2 headings, FAQ blocks with FAQPage schema, tables, bulleted lists and case studies. Site Audit is a citability-first audit that ranks every issue by AI impact with the fix and affected URLs attached, surfacing examples such as pages blocked from indexing, pages missing OpenGraph tags and meta descriptions, thin pages under 250 words, missing Organization schema, missing FAQ schema and image alt text gaps. The Action Plan converts all of this into a prioritised, priced playbook ranked by effort against impact, where every move carries an argument, a score breakdown covering why-now signal, forecast confidence, effort and dependency, evidence links, and a ready-to-ship deliverable brief. Visiby runs as a weekly ritual. Every Tuesday at 07:42 IST, the platform fuses three live data streams — the prompts buyers actually ask, where the brand is losing citations, and the recipes competitors win with — into one prioritised action plan, with no analyst required. The pipeline runs overnight and lands in the inbox as a citation sweep, share-of-voice deltas, a prioritised action plan, content briefs and an executive summary. A weekly digest email example reports the number of prompts run across engines, the movement in citation share, the action moves ranked by projected lift in points, and a forecast of the week when citation share returns to a target level. The platform continuously samples engines, and the site positions the cadence at seven days from signal to a shipped fix. Benefits described include replacing guesswork with evidence about what AI engines recommend, seeing exactly which competitor is being cited first on high-value prompts, and knowing which structural elements and content formats win citations on each engine. Instead of a dashboard nobody opens or a spreadsheet exercise, teams receive an inbox-ready brief with ranked moves and attached briefs, so prioritisation and writing can start immediately. Ranking moves by effort against impact lets a small team focus on the highest-lift work, and the prescribed fixes — schema, content refresh, comparison pages, original research — are tied to specific projected visibility gains. Concrete scenarios in the content include a marketing team reading the weekly overview and shipping the queued moves; a brand losing citation share to a named competitor and building a comparison page in response; refreshing a contact page for AI parseability because it lacks crucial entity definitions and brand identifiers; adding FAQ schema to a services pillar of 14 core URLs missing structured Q&A data; producing original research on AEO benchmarks to capture data and stats queries; and running community and earned-media plays such as a Reddit thread cluster or listicle outreach to G2 and Capterra. Agencies can use the same workspace to run client AEO programmes, and the Agency tier supports white-label client reports and multi-workspace reporting. Visiby is aimed at marketing operators, enterprise marketers, SEO and AEO specialists, and agencies. It complements rather than replaces existing SEO platforms, and the site compares its capabilities against Semrush, Profound, Conductor and Ahrefs across AI visibility tracking on five engines, SEO and rank tracking, brand entity audits, passage-level citation provenance, recipe intelligence, priced action plans, ready-to-ship content briefs, an autonomous weekly pipeline and multi-workspace reporting. Pricing has four tiers: Lite at $49/mo with 25 prompts a month and one seat; Starter at $99/mo with 50 prompts a month, 10 action items and Site Audit plus Action Plan; Pro at $249/mo with 150 prompts, 30 action items, three seats and three brands, daily refresh, Brand Entity, Competitor Intelligence, Sentiment Analysis and priority support; and Agency at $499/mo with 500 pooled prompts, 50 action items, 10 seats and 10 workspaces, white-label client reports, API access and SSO/SAML, custom engines and regions, and a dedicated success manager with an SLA. A free visibility report is offered in 60 seconds with no card required. That combination makes Visiby a visibility layer for the AI-search era: it measures how brands and competitors appear inside AI-generated answers, explains the structural recipes that earn citations, and turns those signals into a prioritised, priced plan a team can ship on Monday.