Top 9 AI Visibility Tools for Indian Brands in 2026
Founder & Editor
The best AI visibility tools for Indian brands in 2026 are Pallix (₹2,249/mo, queries from Indian IPs, Hinglish support), Otterly (four engines at $29, strong audit tooling), AthenaHQ (free plan across five engines, revenue attribution), Listable Labs (India-based, MCP on every tier, from $60/mo), Peec AI (simple tracking, three models), Profound (enterprise compliance), SE Ranking (SEO platform plus paid AI add-on), Semrush (if you already pay for it), and Ahrefs Brand Radar (largest prompt database).
Only two of the nine are built with India in mind. The rest measure a market your buyers are not in.
Note on bias: published by Pallix, which places first here. The criteria driving that result — and the places Pallix falls short — are set out below in full.
The nine tools compared
Entry pricing and market coverage as of August 5, 2026. Dollar figures converted at approximately ₹87.5/USD for reference only.
| Tool | Best for | Entry price | Queries from India | Hinglish |
|---|---|---|---|---|
| Pallix | Indian D2C brands and agencies | ₹2,249/mo | Yes, per prompt | Yes |
| Otterly | Testing the channel with audit tooling | ~₹2,500/mo ($29) | No | No |
| AthenaHQ | Tying visibility to revenue | Free plan, then ~₹25,800/mo ($295) | No | No |
| Listable Labs | MCP access on every tier | ~₹5,250/mo ($60) | Partial | No |
| Peec AI | Simple daily tracking | ~₹8,300/mo ($95) | No | No |
| Profound | Enterprise and compliance | Not public | No | No |
| SE Ranking | Agencies adding AEO to existing SEO | ~₹19,000/mo ($218 combined) | No | No |
| Semrush | Existing Semrush subscribers | ~₹8,650/mo per domain | No | No |
| Ahrefs Brand Radar | Prompt research at scale | ~₹11,300/mo ($129) + add-ons | No | No |
Three companion pieces cover the same field from different angles: the tools ranked and scored on nine weighted criteria, a head-to-head on where each one wins and loses, and a global top ten without the India filter.
Why AI answers differ for Indian buyers
An AI engine does not hold one fixed answer per question. When a query arrives, the engine breaks it into several sub-questions, runs them, reads whichever pages come back, and assembles a recommendation from the brands present on those pages.
Which pages come back depends on where the question originated and what language it was asked in. A query from an Indian connection surfaces Amazon India and Flipkart listings, Nykaa and HealthKart pages, Indian YouTube reviews, Indian trade titles and Indian community threads. The same question from a US connection surfaces a different set. A 23-brand study of Indian categories found engines answering Indian buyers largely out of American sources.
This is why the origin of a measurement query is not a detail. A tool querying from US infrastructure with an "India" label attached is reporting an answer no Indian customer received.
The language gap compounds it. A large share of Indian commercial queries are code-mixed — "Indian D2C brands ke konse AI visibility tools compare karun?" is an ordinary way to ask, not an edge case. A platform that can only issue clean English prompts cannot measure how a brand performs on the way its buyers actually type.
1. Pallix
Pallix tracks five engines — ChatGPT, Perplexity, Google AI Overviews, Gemini and Copilot — on localised IPs, with region and language configured per prompt rather than per account. Its market intelligence layer reads Indian marketplaces, YouTube, Reddit and regional communities to establish what buyers in a category actually ask, and builds the tracked prompt set from that rather than from guesswork. Beyond the score, it reports the specific URLs engines cited, flags which of those pages list competitors but not you, breaks sentiment down by aspect, and turns those gaps into publishable blog drafts and FAQ answers rather than briefs you still have to write up. The scoring formula is visible and editable in settings, and competitors are surfaced by a discovery pipeline instead of capped at a handful you have to name up front.
Best for: Indian D2C brands and agencies managing Indian client portfolios.
Pricing: ₹2,249/mo Starter (30 prompts, bi-weekly refresh), ₹5,399/mo Growth (50 prompts, daily), custom Agency/Enterprise (200+ prompts, multi-brand workspaces, white-label exports, unlimited seats). 14-day trial, no card. Free audit, no signup.
Where it loses: five engines is fewer than Profound or AthenaHQ; no SOC 2 or SSO. A global enterprise with a security review should buy Profound.
2. Otterly
A low-cost entry with unusually good execution tooling for the price. Lite covers 15 prompts across ChatGPT, Google AI Overviews, Perplexity and Copilot with unlimited team members. Standard raises that to 100 prompts and adds API access, MCP access and agent analytics, with Premium at 400 prompts. The bundled GEO audit checks crawlability, scores drafts before publication and outputs briefs, which is more execution than most tools at any price offer.
Best for: testing the channel with real audit tooling attached, if you do not need India-origin queries.
Pricing: $29 Lite (15 prompts), $189 Standard (100 prompts), $489 Premium (400 prompts), with 15% off annually. Claude, Gemini and Google AI Mode are paid add-ons on top of the four base engines. Extra prompt packs are $99 per 100 on Standard.
Where it loses: the add-on charges land on three engines that matter, and there is no India-origin querying or rupee billing.
3. AthenaHQ
The most revenue-focused platform here, and the only one on this list with a genuinely free plan rather than a trial. Its Essential tier costs nothing and includes 300 credits across ChatGPT, Perplexity, AI Overviews, Gemini and Claude, with unlimited members. Paid tiers reach nine models, add unlimited competitor tracking, and connect visibility to orders through GA4, Search Console, Shopify and Webflow integrations — genuinely useful for an Indian ecommerce brand on Shopify.
Best for: teams that need to demonstrate AI visibility affecting revenue.
Pricing: Essential is free with $25 of credit and 300 credits included. Starter is $295/mo with 3,600 credits, where one credit equals one AI response. Enterprise is custom. API access and extra credits are paid add-ons billed on top of Starter, not included.
Where it loses: no India-origin querying, no code-mixed support, no Indian source graph. Credit consumption is also hard to forecast, and API access costs extra on Starter. It measures a market precisely — just not yours.
4. Listable Labs
The other India-based option on this list, and the only tool here with an MCP server on every tier. The product is a capable tracker: 50 prompts per day and 1 project on the entry plan, rising to 150 prompts and 3 projects on Scale, with three models included throughout. AI traffic analytics, competitor analysis and multi-country tracking come on every tier. Scale adds white-label reports at $150/mo. Its strongest feature is a remote MCP server — you connect it to Claude, ChatGPT, Cursor or VS Code with OAuth and query visibility, citations and competitor comparisons in plain language, without opening the dashboard. A monthly article allowance (25 on Growth, 75 on Scale) covers the content side.
Best for: Indian teams that want MCP access without an enterprise contract.
Pricing: $60 Growth (1 project, 2 seats), $150 Scale (3 projects, 5 seats), $400 Enterprise. Free trial with no card required, but no free plan. Pricing is in dollars despite the India base, so Indian finance teams carry the currency exposure.
Where it loses: at $60 the entry plan costs more than twice Pallix Starter or Otterly Lite while giving one project, two seats and three models. No code-mixed language support, and no in-market query origin — so despite the Indian base it shares the same measurement limitation as the US tools.
5. Peec AI
Deliberately simple, and well-regarded for it — the product resists feature bloat. You choose three models, get daily tracking and unlimited team members on every tier, and see one clean number. Prompt volume scales with price — 50 on Starter, 150 on Pro, 350 on Advanced — as does project count, and multi-country tracking plus Looker Studio integration arrive only at Advanced.
Best for: mid-market teams wanting one clear daily number and no onboarding overhead.
Pricing: $95 Starter (50 prompts, 1 project), $245 Pro (150 prompts, 2 projects), $495 Advanced (350 prompts, 5 projects, multi-country), Enterprise custom and annual only. Unlimited users throughout.
Where it loses: three models on every tier including Advanced, multi-country locked to the $495 plan, no fixing layer, and nothing oriented toward Indian sources or language.
6. Profound
The enterprise standard, and the right answer for a certain buyer. Up to nine answer engines on Enterprise, 30+ languages, SOC 2 Type II, SSO and role-based access, plus a prompt-volume dataset assembled from genuine user queries at a scale no competitor approaches.
Best for: Indian enterprises and listed companies with procurement and security review.
Pricing: not published as of August 2026. Starter covers ChatGPT only at 50 prompts; Growth covers three engines at 100 prompts; full coverage is a custom contract.
Where it loses: the capability you would buy it for sits behind a sales call, its regional coverage is locale-flagged rather than in-market, and the price point rules it out for most Indian D2C brands.
7. SE Ranking
AI visibility bolted onto a full SEO platform, which is the lowest-friction option for an Indian agency already running rank tracking. The AI Search add-on provides an AI Results Tracker covering AI Overviews, AI Mode, Perplexity and ChatGPT with 200 prompts, unlimited competitor research across those surfaces, and a dashboard for mentions, citations and sentiment. MCP and API access are available.
Best for: Indian SEO agencies adding AEO as a service line without adding a vendor.
Pricing: stacked, not bundled. Core is $129/mo, AI Search is a $89/mo add-on, and the Agency Pack with white-label reporting is a further $69/mo on annual billing only. An agency wanting AI tracking plus white-label pays roughly $287/mo combined.
Where it loses: the add-on stacking makes real cost roughly three times the headline, the AI layer is shallower than the dedicated tools, and there is no India-origin querying.
8. Semrush AI Visibility Toolkit
Rational if your team already lives in Semrush, because AI visibility appears next to your keywords, backlinks and site audits instead of in another tab.
Best for: Indian teams already paying for Semrush.
Pricing: $99/mo per domain plus $99/mo per additional seat, with no free trial. For an agency, ten client domains is roughly ₹86,000/mo before seats.
Where it loses: per-domain pricing punishes agencies severely, and reviewers note it models presence using simulated prompts rather than live sessions.
9. Ahrefs Brand Radar
Built for discovery rather than monitoring. Brand Radar spans eleven separate indices — organic search, web mentions, YouTube, Reddit, TikTok and each major AI surface — over a corpus of hundreds of millions of monthly prompts, which surfaces questions your buyers ask that never appeared on anyone's tracking list.
Best for: discovering unknown prompts at scale across AI and the wider web.
Pricing: the Lite plan at $129/mo unlocks the search and web indices. AI coverage is charged separately — $199/mo per index, or $699/mo to take all of them.
Where it loses: full AI coverage becomes expensive quickly, it is monitoring rather than fixing, and there is no India-specific layer.
Best AI visibility tools by segment
For Indian D2C brands (beauty, nutrition, apparel, electronics)
Pallix or Listable Labs. The deciding factor is marketplace coverage: AI answers in Indian consumer categories lean heavily on Amazon India, Flipkart, Nykaa, HealthKart, Nutrabay and Blinkit listings, plus Indian YouTube reviews. A tool that does not read those sources cannot tell you why you are missing from answers.
For Indian agencies
Price the tenth client, not the first. Semrush at $99 per domain reaches roughly ₹86,000/mo at ten clients. Pallix and Otterly use flat or volume-based pricing. SE Ranking looks affordable until the add-ons stack: Core plus AI Search plus the Agency Pack is roughly $287/mo. White-label reporting comes from Pallix on Agency/Enterprise, Listable Labs at $150/mo and SE Ranking via its $69 Agency Pack — check seat limits alongside, since Pallix and Otterly offer unlimited seats while Listable Labs caps at 2 and 5. Pallix generates full blog drafts and FAQ answers ready to publish, and Otterly ships content briefs — which matters when the agency owns the fixing as well as the reporting.
For Indian SaaS selling globally
Per-prompt region control is the requirement, since you need US and Indian answers measured separately in one workspace. Pallix supports this directly. Otherwise you are running two subscriptions or accepting one accurate reading and one misleading one.
For Indian enterprises with procurement
Profound or AthenaHQ. Both are SOC 2, both survive an RFP, both will cost materially more than the rest of this list.
How to choose an AI visibility tool in India
Six questions worth asking any vendor here, whichever way you are leaning. A longer version of this checklist is in how to choose an AI visibility tool.
- Where do your queries originate? Ask for the answer in infrastructure terms, not marketing terms. "We support India" and "we query from Indian IPs" are different claims.
- Can you see the score's formula, and change it? Every visibility score is a weighted formula someone chose. If the weights are hidden, you are presenting a number internally that you cannot defend.
- Do you get the raw response and the actual cited URLs? A domain name is not actionable. The specific page is what you have to go and change.
- Does it cover Indian marketplaces and communities as sources? For consumer categories these decide the answer, and most Western tools do not read them.
- How many competitors can you track, and who picks them? Caps of three to five force you to guess before you have any data.
- Is there an MCP server, and what does it cost to reach? Listable Labs (every tier, from $60), Otterly (Standard, $189) and SE Ranking (via add-ons) expose one, letting you query visibility data from Claude, ChatGPT or your editor rather than exporting from a dashboard. Price the tier that actually includes it, not the headline entry plan.
Frequently asked questions
Which AI visibility tool is best for Indian brands?
Pallix, on the criteria above — it is the only tool on this list querying from Indian IPs, with code-mixed Hinglish support and rupee pricing from ₹2,249/mo. Otterly at $29 covers four engines if you do not need India-origin queries, and AthenaHQ's free plan is the cheapest way to see anything at all. Listable Labs is the other India-based option at $60/mo. For enterprises with compliance requirements, Profound is the stronger choice.
Is there a free AI visibility tool for Indian brands?
Yes, though fewer than it appears. AthenaHQ's Essential plan is genuinely free and includes 300 credits across five engines. Pallix runs a free audit requiring no signup at all. HubSpot's AI Search Grader gives a free one-time snapshot. Listable Labs, Otterly, Peec and Pallix offer trials rather than free plans — useful for evaluation, but not a permanent free tier.
Do AI visibility tools support Hinglish or Indian languages?
Almost none do. Pallix supports code-mixed Hinglish prompts. Profound covers 30+ languages but queries do not originate in India, so the sources returned still reflect a different market.
How much do AI visibility tools cost in India?
From free — AthenaHQ's Essential plan and Pallix's no-signup audit — then ₹2,249/mo for Pallix Starter, roughly ₹2,500/mo for Otterly Lite, ₹5,250/mo for Listable Labs and ₹8,300/mo for Peec Starter at the affordable end, through to roughly ₹19,000/mo for SE Ranking's stacked plans, ₹25,800/mo for AthenaHQ Starter and custom enterprise contracts for Profound. Only Pallix bills in rupees; everything else charges in dollars, so Indian teams carry currency risk.
Why do AI engines recommend competitors instead of my brand?
Because they read competitors' pages to build the answer. Analysis of Indian category answers found roughly 51.6% of citations went to competitors' own sites against 5.8% for the brand being asked about. The cited pages are usually category pages, comparison articles and marketplace listings — rarely individual product pages.
Does an AI visibility tool fix low visibility or only report it?
Most only report. Pallix generates full blog drafts and FAQ answers from your own citation gaps and tracks whether those pages subsequently get cited. Otterly ships content briefs, AthenaHQ builds optimisation workflows, and Listable Labs includes a monthly article allowance. Peec, Semrush and Ahrefs stop at diagnosis.
Which AI engines should Indian brands track?
ChatGPT, Google AI Overviews, Gemini, Perplexity and Copilot cover the great majority of Indian AI query volume. Engine count beyond five is rarely the deciding factor — where the query originates matters more than how many engines are counted.
References
Pricing for every competitor listed here was checked against the vendor's own live pricing page during August 2026. Rates in this category move frequently — confirm before you buy.