# Trakkr — Track how your brand shows up inside ChatGPT, Claude, Gemini and other AI answers

> Source: CitedIndex — https://citedindex.com/trakkr (structured, researched, re-verified)
> Facts last verified: 2026-07-24

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.

| Fact | Value |
| --- | --- |
| Website | https://trakkr.ai |
| 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 |
| API | Yes |
| Best for | marketing teams, founders, and SEO/GEO specialists who want a fast, no-code way |
| Not for | teams that need a mid-tier between $100/month (1 brand) and $500/month (10 brands), or more than 50 tracked prompts on a single brand without upgrading |

## Verdict

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.

## How it works

1. Drop in the brand's domain — setup takes about 60 seconds — and Trakkr auto-generates prompts relevant to the brand.
2. Trakkr queries AI models each morning to check where and whether the brand is mentioned, benchmarking it against named competitors across every tracked model.
3. Connect 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. Review 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 it's 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.

## Strengths and weaknesses

- ✓ Fast, no-code setup using just a brand domain, described as taking about 60 seconds.
- ✓ Now publishes transparent self-serve pricing (Growth $100/month, Scale $500/month) with a 14-day free trial, resolving what was previously an unclear, sources-conflict pricing picture.
- ✓ No-code GA4 integration connects AI visibility data to actual revenue attribution.
- ✓ API Reference and MCP Server allow custom integrations with tools like Claude, ChatGPT, and Cursor — MCP ships from the Growth tier up and REST API access is bundled into Scale, neither gated behind a separate paid add-on.
- ✓ Publishes its own original AI-visibility research with real study data (e.g. a 1.07M-answer, 180-brand study on AI citation vs. recommendation), a genuine differentiator from tools that only report on a customer's own brand.
- ✓ Weekly synthesized action playbooks, with a built-in AI agent able to auto-apply some actions, provide concrete next steps rather than raw data alone.
- ✗ The jump from Growth ($100/month, 1 brand) to Scale ($500/month, 10 brands) is a 5x price step with no published mid-tier, so a team that outgrows Growth by even one brand faces a large jump.
- ✗ Growth is capped at 50 prompts for a single brand — teams with a broad prompt set will likely need Scale or a paid prompt-pack add-on.
- ✗ As a company founded in 2025, feature reliability, coverage, and long-term availability are still less proven than incumbents in this index.
- ✗ White-label branding for agency client portals is a separate add-on (from +$49/brand/month) on top of the Scale tier, not bundled in at no extra cost.
- ⚠ As young, actively-iterating software (pricing and tier structure have already changed once), the product's roadmap and pricing model may keep evolving.
- ⚠ Enterprise-tier pricing is not published and requires a sales conversation.

## 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.

## 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.

## Integrations

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

## Sources

- https://trakkr.ai/
- https://trakkr.ai/pricing
- https://mackgrenfell.com/about
- https://trakkr.ai/trakkr-research
- https://www.stackinsight.net/trakkr-review/