If you want the short version: Pallix shows whether AI engines are recommending your brand, who is beating you when they are not, and what to fix first.
Pallix is an AI visibility tool built India-first. Unlike global tools that query AI from US infrastructure, Pallix runs queries from within the Indian market, handles Hinglish and local phrasing, and analyzes the Indian sources AI actually cites — Reddit, Amazon.in, YouTube and marketplaces — while still working globally. That makes it especially accurate for Indian D2C brands, SMBs and agencies.
AEO (answer engine optimization) tools track and improve how brands appear in AI answer engines like ChatGPT, Perplexity, Gemini and Google AI Overviews — the way SEO tools work for traditional search. They measure whether AI recommends your brand, why, and what to fix. AEO is also called AI visibility or generative engine optimization (GEO). Pallix is an AEO tool.
Run a free Pallix audit — no signup. Enter your brand and Pallix checks how you appear across ChatGPT, Perplexity and Google AI Overviews against real buyer-intent prompts, then shows whether AI recommends you or a competitor, and which sources it cites to build that answer.
They describe the same goal with different names. AEO (answer engine optimization) and GEO (generative engine optimization) both mean optimizing how your brand appears in AI-generated answers; AI visibility is the broader term for how present and favourable your brand is across AI engines. Pallix covers all three.
Semrush offers AI visibility as one module inside a large SEO suite, and Profound is built for enterprise. Pallix is a purpose-built AI visibility tool focused on depth: it shows the exact third-party sources AI cites (not just a score), queries from your actual market for accuracy, and is built India-first while working globally.
Pallix is an AI visibility platform for Indian brands. We track how your brand appears when buyers ask AI engines like ChatGPT, Perplexity, and Google AI for product recommendations, then tell you exactly what to do to improve your visibility with audits, citation intelligence, Reddit opportunity discovery, and technical readiness analysis.
AI visibility is how often and how prominently your brand appears when buyers ask AI engines questions like "best peanut butter under Rs 500" or "kaunsa whey protein acha hai." As more Indian buyers use ChatGPT, Perplexity, and Google AI to research products before purchasing, being recommended by these engines is becoming as important as ranking on Google.
AEO stands for Answer Engine Optimization — the practice of improving how your brand appears in AI-generated answers. It is the next evolution beyond SEO. Instead of optimizing to rank on a search results page, you are optimizing to be the brand AI recommends when buyers ask questions about your category.
Pallix is built specifically for Indian brands — not adapted from a Western tool. We run prompts in Hindi natively, use Indian price bands, Indian editorial sources, and Indian competitor sets. Most other tools are built for US or European markets and bolt on India as an afterthought.
SEO tools track where you rank on Google. Pallix tracks whether AI engines recommend your brand when buyers ask shopping questions — a different signal entirely. A brand can rank number one on Google but still be invisible on ChatGPT and Perplexity.
We run 20 buyer prompts in Hindi and English across AI engines including ChatGPT, Perplexity, and Google AI. We analyze whether your brand appears, at what position, with what sentiment, and which competitors are winning the prompts where you are absent. The result is a scored report with specific gaps and actionable fixes.
The free audit currently tracks ChatGPT, Perplexity, and Google AI. The broader Pallix positioning also includes other answer engines, but the live free-audit workflow today is centered on these three surfaces.
The prompts are built around real buyer intent for the brand and product surface being audited. They include discovery prompts, comparison prompts, and brand-seeking prompts, with Hindi and English coverage included.
Citation intelligence shows which domains, source clusters, and proof patterns AI engines keep citing in your category. That helps you see where competitors are getting recommendation proof and which sources you should try to win.
It helps you move from generic content advice to source-specific action. Instead of just knowing that AI prefers competitors, you can see which editorial sites, communities, videos, or commerce pages are shaping those answers and prioritize the sources most likely to improve visibility.
The Reddit opportunity engine is Pallix's workflow for spotting subreddit and discussion opportunities that can improve future AI brand knowledge. It helps teams identify where community trust is building, where reputation risk is rising, and which Reddit conversations matter most.
Reddit matters because community discussions often shape how AI systems learn brand reputation, category language, and buyer comparisons over time. If your brand is absent from the right conversations, AI can end up knowing your competitors better than it knows you.
The score is based on factors like mention rate, discovery position, sentiment, and source quality. In plain terms, it tries to answer how often AI mentions your brand, how highly it recommends you, and whether those recommendations are strong enough to influence a purchase.
Technical AI Readiness measures whether AI crawlers can actually access and read your website. It checks things like robots rules, crawl access, rendering quality, and content structure that make your site easier for AI systems to understand.
Yes. Pallix offers a free AI visibility audit report with no credit card required. Public users currently get one fresh audit snapshot per device and one per email in a rolling 30-day window, and the same domain snapshot is reused for 30 days unless an admin forces a rerun.
The paid dashboard adds ongoing tracking, admin review tools, citation intelligence, Reddit opportunity engine workflows, technical readiness history, stronger competitor monitoring, and a workspace for acting on the audit over time instead of treating it as a one-off report.
The free audit is the entry point and focuses on the public report experience. The deeper citation intelligence and Reddit opportunity workflows are part of the broader paid dashboard direction, where teams can keep tracking and acting on visibility over time.
No. Pallix is built for founders and brand teams, not just analysts or developers. The report focuses on what is happening, which competitors are winning, and what to fix next in plain language.
It depends on the engine. Perplexity and Google AI can reflect changes faster because they rely more on fresh web retrieval, while ChatGPT-like systems can take longer because pre-trained brand knowledge updates more slowly. Pallix tries to point you toward the fixes most likely to create near-term movement first.
Yes. AI hallucinations are real. Engines can misstate pricing, product details, ingredients, availability, or comparisons. Pallix flags those negative or misleading moments so you know when AI is actively creating risk, not just ignoring you.
A lot of it is hard to see cleanly in analytics. AI-referred visits can look like direct traffic or get mixed into messy attribution paths. Pallix helps you understand the visibility side first — whether AI is likely recommending you at the moments buyers are researching.
Indian buyers search differently from Western buyers. They use Hindi, different price bands, different editorial sources, and different competitor comparisons. A Western-first tool often misses those patterns. Pallix is built around how Indian buyers actually ask questions.
Yes. Hindi prompt coverage is a core part of the product, not an add-on. For many Indian categories, tracking only English questions means missing a real part of buyer discovery.
Pallix is expanding across Indian brand categories. The product is strongest where buyer-intent prompts, competitor pressure, and AI recommendation patterns can be mapped clearly, and the platform keeps broadening from those initial surfaces.
Email us at akash@pallix.in and we'll reply directly.