Pallix vs. Algomizer

Pallix is an AI visibility platform for consumer brands and the agencies that serve them. When a shopper asks ChatGPT, Perplexity, Google AI Overviews, Gemini, Microsoft Copilot, Claude or Grok which product to buy, Pallix tells you whether your brand made the answer, which pages the engine relied on instead, and exactly what to change. Why it matters AI assistants now shape shortlists before a buyer visits a search results page. Rank trackers cannot see these answers, because there is no ranking to track. Pallix measures mentions and citations directly, prompt by prompt. Local measurement AI answers differ from one country to the next. Pallix runs prompts from local IPs, with region and language set per prompt. An Indian brand is measured against the answers Indian buyers see, in English or code-mixed Hinglish; a US brand against US answers. One workspace can track several markets. What you can see - A visibility score per prompt, engine and market, on a formula you can edit - The cited URLs and raw answer text behind every result - The fan-out queries each engine ran to build its answer - Pages that list your competitors but leave you out - Shifts in cited source types, and sentiment by attribute What you get to fix it - Copy-paste improvements for your marketplace listings - Content briefs with ready-to-paste prompts for your AI writing tools - Blog post and FAQ drafts aimed at the prompts where you are missing - Citation tracking on every page you publish, so you see what worked Who uses Pallix Marketing and SEO teams at consumer and D2C brands, and agencies running AI visibility for several clients. Every plan includes unlimited seats. Pricing From ₹2,249/month billed annually (₹2,499 billed monthly). Higher plans add prompts and daily refreshes; agency plans are priced on request. Start with a 7-day free trial or a free AI visibility audit that needs no signup.

Algomizer is a done-for-you AI search optimization agency for companies whose buyers have started asking AI models instead of search engines. The commercial problem is straightforward. When a prospect asks ChatGPT, Gemini, Perplexity or Claude which vendor they should consider, the model names a handful of companies. There is no second page. If you are not in that answer, you are not in the evaluation, and you will never see the lost opportunity in your analytics because the buyer never visited your site to begin with. Referral traffic from AI assistants converts at a far higher rate than organic search, because the model has already done the shortlisting. We handle the entire program rather than selling you a dashboard and leaving the work to your team. Engagements begin with measurement. We map the prompt space for your category, which is the full set of questions buyers actually ask on the path to a purchase decision, including comparison queries, alternatives queries and best-tool-for queries where purchase intent is highest. We measure your presence across that space engine by engine and benchmark it against your competitors to establish a share-of-voice baseline you can hold us to. From there we execute. That includes content and evidence engineering, technical implementation and structured data, original research built to be cited by models rather than skimmed by humans, digital PR to establish the third-party corroboration that engines look for before repeating a claim, and correction of inaccurate or outdated information models are currently repeating about your brand. Monitoring runs throughout. You see which prompts you appear in, how you are described, which competitors appear alongside you, and which specific pages each engine cited, with alerts when something regresses or a negative mention surfaces. Reporting ties back to the original baseline, so gains are attributable to specific prompts and specific commercial queries rather than