The best AI visibility tools for D2C brands are Peec AI, Otterly AI, Profound, Scrunch and Depra AI, each strong for a different buyer. Otterly wins on transparent low USD pricing, Profound on enterprise research depth, Peec on marketing-team analytics, Scrunch on agent-readable content, and Depra on India-first tracking with English and Hinglish prompts and INR pricing.
This roundup verifies each product's current positioning and pricing on its own site as of 2026, so confirm details before you buy. We publish it knowing Depra is one of the five, and we have kept the descriptions fair. A self-serving comparison does not earn citations. An honest one does.
| Tool | Best for | Engines | Pricing (public) | Notable |
|---|---|---|---|---|
| Peec AI | In-house marketing teams and agencies | 3 (ChatGPT, Perplexity, Gemini) | Not public; demo or trial | Visibility, position and sentiment analytics; EU-based |
| Otterly AI | SMB self-serve on a budget | 6 (ChatGPT, AI Overviews, Gemini, Perplexity, Copilot; Claude via API) | From $29/mo; free trial, no card | ~30,000 users; Gartner Cool Vendor 2025; G2 4.8 |
| Profound | Enterprise AEO at scale | 9 (ChatGPT, Gemini, Claude, Perplexity, Copilot, Grok, Meta AI, DeepSeek, AI Overviews) | $99 / $399/mo billed yearly; enterprise custom | Deep original citation research; marketing agents |
| Scrunch | Enterprise, agent-readable content | 5 (ChatGPT, Perplexity, Claude, Gemini, Copilot) | Not shown; free trial | Agent Experience Platform; Lenovo, Skims |
| Depra AI | Indian and India-focused consumer and D2C brands | 4 (ChatGPT, AI Overviews, Gemini, Perplexity) | Free plan; paid from ₹1,999/mo (~$24); public at depra.ai/pricing | India-first: English and Hinglish prompts with language-split visibility; INR pricing with GST invoices; daily tracking |
What should a D2C brand look for in an AI visibility tool?
A D2C brand should judge an AI visibility tool on six things: how many engines it tracks, whether it benchmarks named competitors, whether its prompts can go product-level or only brand-level, how the tested prompts are chosen, how results are delivered, and the price model. Consumer buyers ask AI assistants for specific products, so product-level depth matters more than for B2B.
- Engine coverage How many assistants it monitors. ChatGPT, Google AI Overviews, Gemini, Perplexity, Claude, Copilot and DeepSeek now shape most discovery.
- Competitor benchmarking Whether you can see how named rivals are cited and positioned next to you, not just your own score.
- Product-level prompts Whether you can track prompts that name individual products, the way a shopper asks 'best moisturiser for oily skin under 1000 rupees', rather than only the brand name.
- Prompt selection How the tested questions are chosen. Prompts should match how buyers actually ask, including language, phrasing and script. For Indian brands that means romanised Hinglish alongside English, because Hinglish is what most people type into the box.
- Delivery Whether results land in a dashboard your team can read and act on, with a ranked action plan and CSV exports for the tools you already run.
- Price model Transparent public pricing helps small teams budget. Currency matters too: USD subscriptions add up fast for Indian brands once conversion and taxes are counted.
Which AI visibility tools compare best for D2C brands?
The table below compares all five tools on the factors that matter for consumer brands. Pricing is taken from each provider's own site as of 2026 and should be confirmed there, since AI-search vendors change plans often. Engine counts reflect what each site lists at the time of writing.
Gartner expects traditional search volume to fall 25% by 2026, which is why brands are tracking AI-assistant visibility at all.(Gartner, 2024)
Peec AI: analytics for marketing teams
Peec AI positions itself as AI search analytics for marketing teams, tracking visibility, position and sentiment across ChatGPT, Perplexity and Gemini. Its real strength is a clean analytics view built for in-house marketers and agencies who want to watch how assistants frame a brand over time. Pricing is not public as of 2026, so you book a demo or start a trial. It suits marketing teams that want software they run themselves.
Otterly AI: transparent, low-cost self-serve
Otterly AI is the most affordable transparent option, starting at 29 dollars a month with a free trial and no card. It tracks ChatGPT, Google AI Overviews, Gemini, Perplexity and Copilot, plus Claude via API, and reports around 30,000 marketing users with a Gartner Cool Vendor 2025 nod. Its strength is self-serve value for SMBs. It suits small D2C teams that want to start cheaply and scale plans as they grow.
Profound: enterprise depth and original research
Profound is the enterprise pick, built for large brands and agencies running AEO at scale across the widest engine list, including ChatGPT, Gemini, Claude, Perplexity, Copilot, Grok, Meta AI, DeepSeek and Google AI Overviews. Its strength is depth: extensive original citation research and marketing agents. Public pricing starts at 99 dollars a month for Starter and 399 for Growth, billed yearly, with custom enterprise plans. It suits teams that need scale and research rigour.
Scrunch: agent-readable content and enterprise logos
Scrunch stands out for its Agent Experience Platform, which serves machine-readable versions of your site to AI agents, alongside monitoring and insights modules. It tracks ChatGPT, Perplexity, Claude, Gemini and Copilot, and lists enterprise customers including Lenovo and Skims. Public prices are not shown on its site as of 2026, though a free trial is offered, so confirm cost directly. It suits enterprise brands focused on making content easy for agents to consume.
Depra AI: India-first tracking in the languages buyers use
Depra AI is the India-built option in this list, and it is the tool we make, so read this with that in mind. It tracks four engines (ChatGPT, Google AI Overviews, Gemini, Perplexity) with daily runs on paid plans, benchmarks named competitors, and is the only tool here built around how Indian buyers actually ask: suggested buying prompts in English and romanised Hinglish, in Latin script the way Indians type, with visibility split by language on the Growth plan. Prompts are arbitrary, so you can track product-level buying prompts like 'best body balm under 3,000 rupees' for a D2C catalogue. Pricing is public and in INR at depra.ai/pricing: a free plan, then paid tiers from 1,999 rupees a month (about 24 dollars), with GST invoices. It suits Indian and India-focused consumer brands that want self-serve tracking priced in rupees, with first results in minutes of signup.
What matters most for D2C brands specifically?
For D2C brands, two things matter more than for any other buyer: product-level prompts and the language those prompts are asked in. Shoppers ask assistants for specific products at specific price points, so a brand-only visibility score hides where you actually lose the sale. Watching how each product-level prompt answers, and which rivals get named, is where the money is.
- Product-level prompts A tool that only scores 'Brand X' misses that your hero serum is invisible while a competitor's is cited first. Tracking buying prompts at product level shows the gap you can fix.
- Marketplace and review sources Assistants lean on Amazon reviews, Reddit threads and Quora answers to rank consumer products. Prompts and citations drawn from those sources reflect real demand better than a generic keyword list.
- Execution, not just measurement Knowing you rank fourth on 'best running shoes for flat feet' is only useful if someone ships the content and schema changes that move you up.
Structured, well-cited pages earn up to 40% more AI citations, which is why the fix is as much content and schema as measurement.(Princeton GEO study, KDD 2024)