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 pricing, Profound on enterprise research depth, Peec on marketing-team analytics, Scrunch on agent-readable content, and Depra on SKU-level tracking with expert execution for consumer catalogs.
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 | Consumer and D2C brands wanting SKU-level tracking and execution | 7 (ChatGPT, AI Overviews, Gemini, Perplexity, Claude, Copilot, DeepSeek) | Not public; scoped per brand; free audit | Platform + expert execution; only SKU-level tracker here; prompts mined from Reddit, X, Quora, reviews; self-serve dashboard once onboarded |
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 it tracks individual products or only the brand, how it chooses the prompts it tests, 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.
- SKU-level tracking Whether the tool follows 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 mined from real buyer chatter on Reddit, Quora and reviews reflect demand better than a generic template list.
- Delivery Whether you get a dashboard login only, or reports and a ranked action plan over email, WhatsApp and CSV your team can act on.
- Price model Fixed monthly software, or scoped service. Transparent pricing helps small teams budget. Scoped pricing suits brands that want execution included.
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: the platform plus the team, built for D2C
Depra AI is the only option here that pairs the tracking platform with the team that ships the plan, and it is the tool we make, so read this with that in mind. It tracks seven engines (ChatGPT, Google AI Overviews, Gemini, Perplexity, Claude, Copilot, DeepSeek), benchmarks named competitors, and is the only tool in this list that tracks visibility at the individual SKU level for product catalogs. Its prompt set is mined from real buyer chatter on Reddit, X, Quora and marketplace reviews rather than configured by hand. The entry point is a free audit with a report in five days, so you see your own data before spending anything, and once onboarded your team gets self-serve dashboard access alongside the monthly re-runs. Pricing is scoped per brand. It suits consumer and D2C brands that want product-level tracking and the execution handled, with the software there whenever they want to dig in themselves.
What matters most for D2C brands specifically?
For D2C brands, two things matter more than for any other buyer: SKU-level tracking and the sources feeding the prompts. 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 appears, and against which rivals, is where the money is.
- SKU-level tracking A tool that only scores 'Brand X' misses that your hero serum is invisible while a competitor's is cited first. Product-level tracking 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)