Trakkr

What is Trakkr?

Trakkr is an AI visibility monitoring platform, founded in 2025 by Mack Grenfell — who previously built Byword, an AI SEO content-writing platform, after coming up through a marketing and paid-ads background — and based in London. It queries large language models daily to check whether and how a brand appears, then reports the results back to marketers, founders, and SEO/GEO teams. It serves companies trying to understand their presence in the emerging AI-answer layer of search, offering a 14-day free trial ahead of self-serve Growth and Scale tiers plus a custom Enterprise plan for agency-scale needs.

What does Trakkr do?

Trakkr works by having a user drop in their brand's domain, a setup process the company says takes about 60 seconds. From there, it auto-generates prompts relevant to the brand and queries AI models each morning to check where and whether the brand is mentioned, tracking how those mentions change over time. Beyond raw mention tracking, it benchmarks a brand against named competitors across every tracked model, analyzes how AI models describe a brand's sentiment and positioning, and logs AI-crawler traffic (GPTBot, PerplexityBot and others) actually hitting the brand's own site. Trakkr connects to Google Analytics (GA4) with no code changes and a roughly 2-minute setup, letting users attribute revenue to traffic referred by AI platforms rather than just seeing raw mention counts. On a weekly basis, it synthesizes findings into prioritized action playbooks with step-by-step guidance, and a built-in AI agent can apply some of these actions automatically rather than leaving them purely as recommendations. For teams that want to build custom workflows or resell the platform, Trakkr provides an API Reference and an MCP Server — both included from the Growth tier up — for connecting the platform directly to tools like Claude, ChatGPT, and Cursor. REST API access and client access are bundled into the Scale tier at no extra cost; only white-label client portals for agencies remain a separate paid add-on on top of Scale. The overall workflow is designed to move a team from raw AI-mention data to prioritized next steps without heavy manual analysis.

How Trakkr works

1. 1Drop in the brand's domain — setup takes about 60 seconds — and Trakkr auto-generates prompts relevant to the brand.
2. 2Trakkr queries AI models each morning to check where and whether the brand is mentioned, benchmarking it against named competitors across every tracked model.
3. 3Connect Google Analytics (GA4) with no code changes in about 2 minutes to attribute revenue to AI-referred traffic rather than just viewing raw mention counts.
4. 4Review weekly synthesized action playbooks with step-by-step guidance; the built-in AI agent can apply some actions automatically rather than leaving them purely as recommendations.

Who is Trakkr for?

• Marketing teams, founders and SEO/GEO specialists who want a fast, no-code way to see how their brand appears inside ChatGPT, Claude, Gemini and other AI answers.
• Teams that want AI-visibility data tied directly to GA4 revenue attribution instead of just raw mention counts.
• Agencies on the Scale tier that want to resell AI-visibility reporting to clients through a white-labeled portal.

Key features

• Daily AI model monitoring: Queries major AI platforms each morning to check whether and how a brand is mentioned, tracking changes over time.
• Auto-generated brand prompts: Automatically creates prompts relevant to the brand rather than requiring users to write their own tracking queries.
• Competitor benchmarking: Ranks a brand against named competitors across every tracked AI model and surfaces who is gaining or losing ground.
• Perception analysis and crawler analytics: Analyzes how AI models describe a brand's sentiment and positioning, and logs real AI-crawler traffic (GPTBot, PerplexityBot) hitting the brand's own site.
• No-code GA4 revenue attribution: Connects to Google Analytics with no code changes in about 2 minutes to attribute revenue to AI-referred traffic.
• Weekly action playbooks with an AI agent: Synthesizes findings into prioritized, step-by-step playbooks weekly; a built-in AI agent can apply some actions automatically.
• API Reference, MCP Server and agency white-label: Offers an API Reference and an MCP Server, both included from the Growth tier up, for custom integrations with Claude, ChatGPT and Cursor; REST API access is bundled into Scale at no extra cost, and white-label client portals for agencies are a separate paid add-on on top of Scale.
• 60-second setup: Users get started by dropping in their brand's domain, with setup described as taking about 60 seconds.
• Monthly article credits: Growth includes 25 AI-visibility-optimized articles per month and Scale includes 100, a content-generation allowance layered on top of the monitoring product.

What are Trakkr's use cases?

• Monitoring AI answer visibility: A brand wants to know whether and how it's mentioned when people ask ChatGPT, Claude, Gemini, or other AI models about its category.
• Benchmarking against named competitors: A marketing team tracks its AI-answer share against specific rivals to see who is gaining ground.
• Attributing revenue to AI-referred traffic: A marketing team connects Trakkr to GA4 to see whether visitors and revenue can be tied back to AI platform referrals.
• Prioritizing weekly visibility work: A small marketing team without a dedicated GEO specialist uses the weekly playbooks to know which actions to take next.
• Reselling AI-visibility reporting: An agency on the Scale tier gives each client a white-labeled portal instead of building its own reporting layer.

What does Trakkr integrate with?

• Google Analytics (GA4)
• Claude (via MCP Server)
• ChatGPT (via MCP Server)
• Cursor (via MCP Server)

Why use Trakkr?

• Setup is described as taking about 60 seconds using just a brand domain, lowering the barrier to getting started.
• Transparent self-serve pricing (Growth $100/month, Scale $500/month) with a 14-day free trial means teams can see the real cost before they buy, not just before they try.
• No-code GA4 integration lets teams attribute revenue to AI-referred traffic instead of only viewing raw mention counts.
• Weekly prioritized action playbooks, some auto-applied by a built-in AI agent, translate visibility data into concrete next steps rather than leaving teams to interpret raw dashboards.
• Publishes its own original AI-visibility research (Trakkr Research) with real study data, not just gated product output.

Pros & cons

Trakkr pricing

Growth $100/mo (1 brand, 50 prompts, MCP included) or Scale $500/mo (10 brands, REST API included, white-label branding a paid add-on) after a 14-day free trial; Enterprise is custom

• Growth$100 / month
• Scale$500 / month
• EnterpriseCustom / month

See current pricing on trakkr.ai ↗Compare Trakkr alternatives →

Trakkr review

Trakkr targets a real and growing need, visibility into how brands appear inside AI chat answers, with a fast, no-code setup and, as of this listing's latest check, transparent self-serve pricing that replaces its earlier free-beta-vs-paid ambiguity. The open question now is less "what does it cost" and more whether the $100-to-$500 tier gap and 50-prompt Growth cap fit a given team's scale.

Trakkr is young, iterating software from a first-time AI-visibility vendor (its founder's prior product, Byword, is in AI content writing, not this category) — a genuine, if less battle-tested, option next to more established names in this index. Re-verified 2026-07-24, correcting an earlier same-day check: four independent live re-reads of trakkr.ai/pricing confirm REST API access is bundled into the Scale tier at no extra cost (not a paid add-on) and MCP access ships from the Growth tier up — only the white-label agency portal remains a separate paid add-on. Pricing amounts themselves are unchanged, and both Growth and Scale still include the monthly article-credit allowance (25 and 100 respectively) added at the prior check.

Frequently asked questions