What you actually get from Trakkr
Trakkr is a bootstrapped AI-visibility platform that tracks how a brand ranks and is cited across eight AI models in one workspace, with no per-model add-on fees on paid plans. Beyond a visibility score, it surfaces crawler activity, live conversation snippets that cite the brand's domain, and an ROI-sorted action queue (for example, rewriting a specific page to win a specific prompt cluster). It offers agency-oriented packaging on its Scale tier, including unlimited team seats, client access, and an optional white-label portal. The product was founded and is run independently, without outside venture funding.
Trakkr pricing
Growth and Scale plans with all 8 AI models included; Enterprise is custom. Site displayed pricing in GBP at time of check.
| Plan | Price | What it covers |
|---|---|---|
| Growth | £79/mo or £790/yr billed annually (site FAQ and comparison table separately state $100/mo in USD) | 1 brand tracked daily, 50 prompts per brand, all 8 AI models, 25 articles/month, 3 seats, citations and perception analysis, site optimization, exports and sharing, MCP access, executive reports. |
| Scale | £395/mo or £3,950/yr billed annually (site comparison section separately references $500/mo in USD) | 10 brands tracked daily, 50 prompts per brand, all 8 AI models, 100 articles/month, everything in Growth, unlimited team seats, REST API access as an add-on. |
| Enterprise | From £790/mo, billed annually (contact sales for a custom quote) | Unlimited brands and prompts, SSO and security review, custom contracts and terms, dedicated success manager, volume discounts, priority support SLA, custom integrations, onboarding and training. |
Source: trakkr.ai/pricing, read 2026-09-07.
Strengths
- All 8 tracked AI models (ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, Grok, DeepSeek, Meta AI) included on every paid plan with no per-model surcharge
- ROI-sorted recommended actions tied to specific prompt clusters, not just a raw visibility number
- Live feed of real prompts/conversations citing the tracked domain, plus AI crawler volume by model
- Agency-friendly Scale tier with unlimited seats, client access, and an optional white-label client portal
- 14-day free trial with full Growth-tier feature access before any charge
Weaknesses
- Entry Growth tier covers only 1 brand; multi-brand tracking requires the Scale tier
- Prompt cap is fixed at 50 per brand on both Growth and Scale; more requires paid add-on packs
- REST API access is gated as a paid add-on even on the Scale tier, not included outright
- White-label client-portal branding is a separate add-on billed at +$49/brand/month
- No free tier, only a 14-day trial, and the pricing page mixes GBP display pricing with USD figures cited elsewhere on the same page
Best for
- Single-brand marketing teams wanting all major AI engines tracked in one workspace
- Agencies managing 10+ client brands who want pooled multi-brand tracking (Scale tier)
- Teams that want built-in recommended actions rather than a raw analytics dashboard only
Not ideal for
- Teams needing more than 50 tracked prompts per brand without paying for add-on capacity
- Buyers wanting a venture-backed vendor with established enterprise security certifications already public
- Teams that want a permanently free tier rather than a time-limited trial
What Trakkr costs is not the number. It is the term
Trakkr is priced in line with its category and the figure buys what it says it buys. If the published or quoted number is inside your budget, the sticker is not the thing to argue about.
The real cost sits in the term. Reputation vendors across every tier of this market default to long minimums, because the work takes months to show and because a long contract converts an uncertain outcome into certain revenue. The number you negotiate is the monthly. The number that decides what you actually pay is the count of months you cannot leave.
Nobody signs a two-year agreement expecting the problem to hold still for two years.
Long terms create a specific failure. By month six the original problem has changed shape: the article that mattered is buried under something else, or a new one has landed on a surface the contract never covered. A 12 month agreement locks your spend against the problem you had at signature, not the one you have now. That is how engagements end with the buyer paying full price for work that stopped being relevant in month three.
Where this lands in 2026
Reputation surfaces now move faster than the contracts written against them. What an AI assistant says about you can change inside a week, because it changes when its sources change. A twelve-month agreement is a poor instrument for a surface that revises itself continuously.
That is why this review sits on the site of a firm that competes with Trakkr. The argument is not that Trakkr is a bad product. Its category was designed against a version of your problem that no longer describes the whole surface. The part it was never built to cover is the part growing fastest.
These tools tell you the model said something wrong. They do not fix it. Monitoring is the cheap half of the problem; changing the sources a model cites is the half that moves the answer.
Key facts
- Founded by Mack Grenfell, who also founded Byword, an AI content platform
- Described on its own site as independent and bootstrapped, with no VC funding
- Site reports over 1.3 million citations analyzed and over 72 million prompts analyzed as of its August 2026 traction snapshot
- Tracks 8 named AI models: ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, Grok, DeepSeek, and Meta AI
Trakkr covers one lane. We cover the surface.
You get generative engine optimization as one protocol inside a measured engagement, not as a standalone subscription. Your exposure is measured first against a Bayesian baseline, then the counter-strike work runs, then your surface stays monitored across search, review platforms, and the AI answer layer.
Sources checked
We read the vendor's own pages for every price on this review and record the date we read them. Where a figure comes from a third party we say so. Method: review methodology.