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Ahrefs Brand Radar vs Peec AI: Which Tool Is Better?

They answer different questions, so the better tool depends on the job. Ahrefs Brand Radar is a research database. It holds more than 400 million search-backed prompts across Google's AI features, ChatGPT, Perplexity, Gemini and Copilot, and you can search it for any brand without setup, from $199 a month per platform. Peec AI tracks your own prompts daily, 50 of them on three models for $95 a month, and turns gaps into ranked actions down to the URL. Use Brand Radar to discover topics, competitors and cited sources across a market. Use Peec to monitor the specific questions that matter to your business. Many teams end up using one for research and the other for tracking.

How do they differ?

As listed by each vendor:

Ahrefs Brand Radar Peec AI
Core idea Search a large database of AI answers for any brand, topic or domain Track your chosen prompts every day
Prompts 400M+ search-backed prompts in the index; your own via custom prompt packages 50, 150 or 350 of your own
Platforms AI Overviews and AI Mode, ChatGPT, Perplexity, Gemini, Copilot; Claude via custom prompts Three per plan, from ChatGPT, AI Overviews, AI Mode, Perplexity, Gemini, Copilot and others
Entry price $199/mo per platform, $699 for all; custom prompt checks from $50/mo $95/mo Starter
History Answers collected since 2025, available at once Builds from the day you start
Competitor research Any brand, no setup Competitors you add, plus brands it detects in answers to your prompts
Sources Cited Domains and Cited Pages reports Source gaps by domain and URL, classified by type
Actions Research-led; you decide what to do Ranked actions, earned or owned
Extras Search demand, web mentions and video platform indexes; Site Explorer AI citations Crawlability audit for 40+ AI bots; agency plans
Users By Ahrefs plan Unlimited

Discovery or monitoring?

This is the real difference. Brand Radar lets you ask "which brands do AI answers name for running shoes in the US, and which sites do they cite?" and get an answer immediately, with history. You do not need to know the right prompts in advance, and you can study competitors who are not your customers. That makes it strong for market research, pitching, and choosing which topics to track.

Peec asks you to decide the questions first, then measures them precisely every day. That makes it strong for monitoring what matters to revenue: your buying questions, in your markets, on the engines your customers use. Its output is a list of actions, such as the pages that cite competitors but not you, sorted by likely impact.

A database built from search keywords reads more like searches than like buyers' longer conversational questions. A hand-built prompt list can miss whole topics. Each covers the other's blind spot.

What does each cost for common jobs?

Job Ahrefs Peec AI
Explore a category and its cited sources on one engine $199/mo for one platform index Not designed for this
Track 50 prompts daily on three engines (4,500 checks) $100/mo check package (7,000 checks), standalone $95/mo Starter
Track 150 prompts daily on three engines (13,500 checks) $250/mo check package, standalone $245/mo Pro
Add Claude Each Claude update uses 8 checks Paid model upgrade
Research any competitor without setup Included Only brands that appear in answers to your own prompts

For monitoring alone the two cost about the same: Ahrefs' $100 and $250 check packages, which can be bought without an Ahrefs plan, against Peec's $95 and $245 plans. Peec adds ranked actions and unlimited users; Ahrefs lets you add Claude and move checks between engines. For research, Brand Radar has no real equivalent in Peec. Ahrefs' plan details are covered in the Ahrefs Brand Radar review.

Where is Brand Radar stronger?

  • Instant history and scale. Months of answers across hundreds of millions of prompts, available the day you log in.
  • Any brand, any topic. Useful for agencies pitching new clients, and for entering new categories.
  • Search context. It sits beside Ahrefs' keyword, backlink and web mention data, so you can see where search authority is not turning into AI citations.
  • Citation research at scale. Its Cited Domains and Cited Pages reports show which sites a whole category relies on. A step-by-step method is in how to use Ahrefs to find pages and domains cited in AI answers.

Where is Peec stronger?

  • Your questions, daily. Precise, consistent tracking of the prompts that matter to you.
  • From gap to action. Source gaps are listed down to the URL, classified as competitor, editorial, reference or user-generated content, and ranked as earned or owned actions.
  • Clear metrics. Visibility, share of voice, sentiment on a 0 to 100 scale, and average position.
  • Unlimited users and agency plans for client work.

More on Peec is in the Peec AI review and Peec AI vs Otterly.

How can you use both?

A sensible division of labour:

  1. Research in Brand Radar each quarter. Find the topics where your category appears in AI answers, the competitors named most, and the domains cited most.
  2. Turn findings into prompts. Rewrite the most valuable topics as natural buyer questions, 50 to 150 of them.
  3. Track those prompts in Peec daily, on the engines your buyers use.
  4. Act on Peec's ranked gaps each month.
  5. Check the wider market in Brand Radar again to see whether your share has moved beyond your own prompt set.

If budget allows only one, pick Brand Radar if you mainly need research and reporting across a market, and Peec if you mainly need to improve your position on known questions.

What are the limits of each?

  • Brand Radar's database is not your prompt list. Small or niche brands may barely appear in it, and its search-style prompts under-represent long, conversational questions.
  • Brand Radar's costs stack. Several platform indexes and check packages add up quickly; no base Ahrefs plan is needed, though many buyers add one for the SEO data around it.
  • Peec starts empty. It has no history before you begin, and it sees only the answers to your own prompts; it suggests competitors that appear in those answers, but cannot research brands outside them.
  • Peec's three-model limit. More engines cost extra, so choose the three your buyers use.

Who should choose which?

  • Brand Radar: existing Ahrefs users, agencies researching many brands, and teams entering new categories.
  • Peec AI: brands and agencies that know their priority questions and want daily tracking with clear actions.
  • Both: mid-sized teams with a research budget and a monitoring budget.

What might this look like in practice?

Consider an illustrative travel insurance company, Cobalt Cover. Its SEO team already had an Ahrefs plan and added the AI Overviews index to Brand Radar. It found that answers about "travel insurance for pre-existing conditions" named four competitors and cited two comparison sites that did not list Cobalt. The team wrote 60 buyer questions around that and related topics, and tracked them in Peec on ChatGPT, AI Overviews and Perplexity. Peec's gap list put the two comparison sites at the top of its earned actions. After both added Cobalt, Peec showed its visibility rising on those prompts, and the next quarter's Brand Radar check showed the change across the wider category.

What do people ask about Brand Radar and Peec AI?

Which is cheaper?

For tracking your own prompts they cost about the same: Ahrefs' $100 check package against Peec's $95 Starter for 50 prompts on three engines. For market research, only Brand Radar does it, from $199 a month per platform.

Can Peec research competitors I do not track?

Only within your own prompts: Peec suggests brands that appear alongside yours in those answers. For any brand outside them, Brand Radar can research without setup.

Can Brand Radar track my own prompts?

Yes, through custom prompt packages from $50 a month, bought on their own or on top of an Ahrefs plan; paid Ahrefs plans include 5 to 20 tracked prompts.

Which shows cited pages better?

Brand Radar for market-wide research; Peec for gaps on your own prompts, with actions attached.

Published by The Kovmere Team · updated Sep 29, 2026 · More resources