The AI

The AI

Trakkr tracks how often ChatGPT, Claude, Gemini, Perplexity and four more AI engines recommend your brand, ranked daily on a 0–100 visibility score.

79/100Safe BetFrom $100/mo or $1,000/yrPaid

Trakkr answers a specific question well: why does ChatGPT keep naming your competitor and not you. The daily cross-model score, the citation source list showing sites that mention rivals but never you, and the Actions desk that verifies its own recommendations overnight are the parts worth paying for. $100/mo Growth buys one brand, 50 prompts, all eight engines and no per-model add-ons — honest pricing, but a team tool, not a hobbyist one. If you want everything in one place it competes with Profound (enterprise research) and Peec (lean team tracking, $95/mo). Skip it if you need minute-by-minute monitoring or classic SEO rank tracking.

Verified 16d ago · liveness 79/100 · cite: rightaichoice.com/tools/the-ai

Best for
  • Brand marketers who need a daily read on AI recommendation share
  • Agencies running multi-brand visibility with white-label client portals
  • SEO teams shifting budget from classic search to AI answer engines
  • Analysts who want raw data — the AI 500 dataset and rankings API are free to reuse
Not ideal for
  • Teams that need minute-by-minute chat monitoring — Trakkr refreshes daily
  • Solopreneurs doing occasional one-off checks who won't use 50 prompts
  • Buyers who want a single engine — Trakkr sells all eight together, no à la carte
Visit Website

IntermediatePrompt-first and fast: the Quick Start doc walks a brand from signup to a first baseline in about 7 minutes, and you can paste or upload your existing prompt list and review it before saving. Teams moving from another tracker should budget an afternoon to mirror their prompt set and connect Google Analytics for AI referral visitors. Scale agencies adding client portals and a custom domain need aWeb · APIAPI availableVerified 16d ago
Pricing
From $100/mo or $1,000/yr
Paid3 plans6 hidden costs
Learning curve
Intermediate
Prompt-first and fast: the Quick Start doc walks a brand from signup to a first baseline in about 7 minutes, and you can paste or upload your existing prompt list and review it before saving. Teams moving from another tracker should budget an afternoon to mirror their prompt set and connect Google Analytics for AI referral visitors. Scale agencies adding client portals and a custom domain need a
Runs on
WebAPI
API available · 10 integrations
Who it's for
In-house brand marketerAgency account leadSEO and content lead
Live sentiment
Is The AI actually worth it?

We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.

  • Honest verdict, not marketing
  • Real pros & cons from real users
  • Attributed quotes with receipts
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3 free scans · no card needed

Skip it if

Skip Trakkr if you need live-by-the-minute monitoring, want to track a single AI engine only, or your prompt library runs far past 50 per brand and you won't consider Enterprise.

The 30-second take
Biggest gripe

Scale's 10-brand ceiling is the main expansion meter — extra tracked brands beyond 10 are billed as paid add-ons.

Price reality

Growth at $100/mo suits a single-brand marketing team proving AI search matters — under Peec's agency packaging once you need multiple projects, and well under Profound. Scale at $500/mo is the agency tier and now bundles white-label portals, custom domains and REST API with no separate white-label fee, which undercuts buying those add-ons elsewhere. Enterprise from $1,000/mo billed annually only makes sense once you need SSO and custom contracts. The free rankings API and GitHub dataset cost

In short

The AI — Trakkr tracks how often ChatGPT, Claude, Gemini, Perplexity and four more AI engines recommend your brand, ranked daily on a 0–100 visibility score. Best for Brand marketers who need a daily read on AI recommendation share, Agencies running multi-brand visibility with white-label client portals, SEO teams shifting budget from classic search to AI answer engines. Plans from $100/mo.

What's new in The AI

Checked 8 days ago

Across the latest 5 updates: 3 feature updates, 1 pricing change and 1 changelog entry.

What people actually say about The AI — is it worth it?

We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.

88 mentions across 5 sources (Hacker News, YouTube, Stack Overflow, Lemmy, Tech Press) · researched Aug 31, 2026.

28% positive72% critical

Average across the 5 sources that answered — each source counts once, not each post.

Recurring strengths
  • +Tracks 8 major AI engines daily, giving comprehensive visibility.
  • +Includes competitor overtake alerts and citation tracking.
  • +Provides actionable Optimize view with ranked fix queue.
  • +Offers MCP connections for ChatGPT, Claude, Cursor, VS Code.
  • +Open AI 500 dataset and free API add transparency and flexibility.
Recurring frustrations
  • −Pricing at £79/month for one brand is steep, especially for SMBs.
  • −No verified community feedback on reliability or customer support.
  • −Limited direct discussion on Hacker News, Reddit, or GitHub.
  • −Learning curve might be significant given broad feature set.
  • −Potential data accuracy issues on AI visibility scores unaddressed.
Patterns worth knowing
Excitement for niche AI visibility tracking, especially among small agencies.
Seen on YouTube
Skepticism about AI tools' real-world results and ROI.
Seen on Hacker News
General AI tool fatigue and self-indulgence in the AI tooling space.
Seen on Hacker News
Learning curve
intermediateProductive in ~A few hours
Hidden costs people mention
  • • No free tier; trial not mentioned, so upfront commitment needed.
  • • Potential extra costs for API usage beyond free public endpoints.
  • • Agency tiers likely require custom quotes, potentially higher.

Viability Score

79/100
Safe Bet

How well maintained and how widely used is The AI? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
90
Traction
100
Site health
95
User sentiment
28
What the vendor publishes
60

Last calculated: October 2026

How we score →

Key Features

  • Cross-model visibility score (0–100) recounted daily
  • Tracks 8 AI engines: ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, Grok, DeepSeek, Meta AI
  • 24-hour and 7-day ranking movement on every tracked brand
  • Citation source tracking — the URLs models quote in answers
  • Sources that cite competitors but have never mentioned you
  • Perception analysis across 20 scored dimensions, refreshed weekly against 5 competitors
  • Accuracy page: verdict-first claims ledger with linked transcripts and CSV export
  • Actions desk with weekly brief, prioritized plan and results tracking
  • Automatic overnight verification of machine-checkable items (llms.txt, schema, robots rules)
  • Optimize view with plain-language diagnosis and ranked fix queue
  • AI Site Grader and llms.txt generator
  • AI Pages — machine-readable page versions served to AI crawlers
  • AI crawler logging and referral visitor tracking (Google Analytics connection)
  • Competitor head-to-head and overtake alerts
  • MCP server for ChatGPT, Claude, Cursor and VS Code

About The AI

PaidIntermediateAPI availableWeb · API

Trakkr is an AI visibility monitoring platform. It asks eight AI engines — ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, Grok, DeepSeek and Meta AI — the buyer questions you care about, then scores how often and how prominently your brand gets named in the answers. Every brand in the index carries a 0–100 cross-model visibility score, recounted daily, with 24-hour and 7-day movement so you can see who gained ground. The rankings are the entry point. Underneath sits a working platform: citation source tracking (which URLs the models quote and which sources cite your competitors but never you), perception analysis across twenty scored dimensions refreshed weekly, competitor head-to-head and overtake alerts, an Accuracy page that checks whether models are telling the truth about your business, an Actions desk that opens with a weekly brief and a prioritized plan it verifies overnight, an Optimize view with one plain-language diagnosis and a ranked fix queue, plus a site layer with an AI Site Grader, llms.txt generator and AI crawler optimization. It is built for brand marketers, SEO teams and agencies moving budget from classic search tracking to AI answers. Growth is $100/mo (one brand, 50 prompts, 3 seats, all eight models). Scale is $500/mo (10 brands, unlimited seats, white-label client portals and REST API). Enterprise runs from $1,000/mo billed annually. The AI 500 leaderboard dataset is published on GitHub under CC BY 4.0 and a public rankings API is free to reuse.

Behind the Verdict

The clearest thing about Trakkr is that it picks a lane. It does not try to be an SEO suite with an AI tab bolted on. It asks the eight engines your buyers actually use — ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, Grok, DeepSeek, Meta AI — the prompts you choose, then scores how often and how prominently you show up. That score is recounted daily with 24-hour and 7-day movement, so you are reading a trend line, not a live feed. For a weekly content and PR cadence that is the right refresh rate; for war-room monitoring during a launch it is not. The strongest part of the product is the layer above the number. Citations shows the URLs models return as sources and, more usefully, the publishers that cite your competitors and have never mentioned you — that is a target list, not a dashboard. Perception breaks how the models describe you into twenty scored dimensions refreshed weekly against five competitors you pick, so you can catch a positioning drift before it hardens. Accuracy opens as one page: a verdict on whether AI is telling the truth about your brand, then the claims ledger, each claim carrying the transcript it came from, exportable to CSV. The August 2026 rebuild moved Actions from a sortable list to a desk — a short brief on what changed, a picked plan for the week, and automatic overnight verification of anything a machine can check (llms.txt, schema, robots rules, a restored page). It reports earned, no change, or could not measure, and will not claim a win it cannot show you. The site layer is a real differentiator for technical teams: AI Site Grader, llms.txt generator, AI Pages that serve crawlers a machine-readable version of each page, and crawler logging that shows which AI bots read what. Setup is prompt-first — you can paste the prompts and tags you already track, review them, and run Trakkr alongside your current tool during the 14-day trial, though historical scores start fresh. Where it does not fit: solopreneurs doing occasional one-off checks, teams locked to one engine (it sells all eight together, no à la carte), and anyone whose prompt library is far larger than 50 per brand and who will not move to Enterprise. The free public API and GitHub dataset are genuine value even if you never subscribe. Against the field: Profound goes deeper on enterprise research, Peec is leaner at $95/mo with a free tier, AthenaHQ runs credit-based action. Trakkr's pitch is monitoring plus action in one workspace, and on the evidence of the changelog it has spent 2026 building the action half.

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Real-world workflow fit

Concrete scenarios for the personas The AI actually fits — and what changes day-one when you adopt it.

In-house brand marketer

Adds their brand, pastes the 50 buyer questions they already track, and runs Trakkr alongside their old tool during the 14-day trial.

Outcome: A daily 0–100 visibility score across eight engines with 24-hour and 7-day movement, plus a citation list showing which publishers name competitors instead of them.

Agency account lead

Moves client brands onto Scale, publishes a client portal on a custom domain, and invites client users who don't consume team seats.

Outcome: Clients read their own AI visibility without a report deck, and the agency keeps white-label branding at no separate charge.

SEO and content lead

Opens Optimize for one plain sentence on what blocks AI from reading the site, works the ranked queue, then watches the Actions desk verify the fixes overnight.

Outcome: Machine-checkable items like llms.txt and schema close with a Verified by Trakkr note, and Results reports earned, no change or could not measure against a frozen before-and-after window.

Use Cases

Models Under the Hood

ChatGPTClaudeGeminiPerplexityGoogle AI OverviewsGrokDeepSeekMeta AI

as of 2026-09-30

Limitations

  • Scores are aggregated across models and updated daily, so this is a daily trend rather than a real-time feed.
  • The free leaderboard is published as an open dataset (JSON and monthly CSV) via a public API under CC BY 4.0 with attribution, while the full visibility toolkit is paid — Growth at $100/mo tracks 1 brand with 50 prompts, and Scale at $500/mo extends to 10 brands.
  • White-label client portals require Scale, and SSO, custom contracts and unlimited brands and prompts require Enterprise from $1,000/mo billed annually.

as of 2026-09-22

Verification history

We have re-verified The AI 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  2. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  3. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  4. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  5. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  6. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it

Showing the 6 most recent of 9 verification passes.

Free to cite with attribution — this page re-verifies continuously.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
$1,200
Over 12 months
Effective monthly
$100
Billed monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published The AI tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

Growth

$100/mo or $1,000/yr

Ideal for

Single-brand marketing or SEO team proving AI search matters, with one person or a small squad owning the prompt set.

What this tier adds

Starting paid tier: 1 brand, 50 prompts, all 8 models, 3 seats, 25 article credits/mo, 12,000 data points.

Scale

$500/mo or $5,000/yr

Ideal for

Agencies and multi-brand teams running client visibility reports who need white-label client portals and API access.

What this tier adds

Adds 10 brands, unlimited seats, white-label portals with custom domains, REST API, 100 article credits/mo and 120,000 data points over Growth.

Enterprise

From $1,000/mo billed annually

Ideal for

Large organizations needing SSO, security review, custom contracts and a named success manager at volume.

What this tier adds

Adds unlimited brands and prompts, SSO and security review, custom terms, volume discounts, SLA and onboarding on top of Scale.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Scale's 10-brand ceiling is the main expansion meter — extra tracked brands beyond 10 are billed as paid add-ons.
  • Prompts beyond the included 50 per brand are bought in +50, +100 or +200 blocks, so a large question set raises the monthly total.
  • Article credits run out quietly at 25/mo on Growth and 100/mo on Scale; extra credits are one-time top-ups rather than unlimited.
  • AI Pages requests cap at 2,500/mo on Growth and 10,000/mo on Scale, so a large crawl-heavy site can hit the ceiling before the month ends.
  • White-label portals, REST API access and unlimited seats all sit behind the $500/mo Scale jump, not Growth.
  • SSO, security review and a dedicated manager require Enterprise from $1,000/mo billed annually — there is no monthly Enterprise option.

Where the pricing makes sense

The company stage and team size where The AI's pricing actually pencils out — and where peers do it cheaper.

Growth at $100/mo suits a single-brand marketing team proving AI search matters — under Peec's agency packaging once you need multiple projects, and well under Profound. Scale at $500/mo is the agency tier and now bundles white-label portals, custom domains and REST API with no separate white-label fee, which undercuts buying those add-ons elsewhere. Enterprise from $1,000/mo billed annually only makes sense once you need SSO and custom contracts. The free rankings API and GitHub dataset cost

Setup time & first value

How long it actually takes to get something useful out of The AI — broken out by persona, not the marketing-page minute.

Prompt-first and fast: the Quick Start doc walks a brand from signup to a first baseline in about 7 minutes, and you can paste or upload your existing prompt list and review it before saving. Teams moving from another tracker should budget an afternoon to mirror their prompt set and connect Google Analytics for AI referral visitors. Scale agencies adding client portals and a custom domain need a

Switching to or from The AI

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From generic AI rank trackers: paste or CSV-upload your existing prompt list, review it in-platform, and run Trakkr alongside the old tool during the 14-day trial.
  • →From classic SEO suites: import the buyer questions behind your highest-intent pages as tracked prompts, then read the citation list to find publishers you have never pitched.
  • →From manual spot checks: replace ad-hoc engine queries with recurring tracked prompts and let the daily score carry the movement history.
  • →From agency reporting decks: move client visibility onto Scale portals with a custom domain instead of rebuilding screenshots each month.
Migrating out
  • ↗To Profound: if you need enterprise-grade research depth rather than monitoring plus action.
  • ↗To Peec: if you want a leaner tracking setup with a free entry tier.
  • ↗To AthenaHQ: if credit-based action and on-page plus off-page tooling fit your workflow better.
  • ↗To a classic SEO suite: if AI answer visibility is not a budget line for you yet — the free public rankings API and AI 500 dataset stay available either way.

Integrations

ChatGPTClaudeGeminiPerplexityCursorVS CodeLooker StudioZapierGoogle SheetsGoogle Analytics

Resources & Guides

Tutorials & Learning

YouTube returned 6 videos for “The AI”, and we withheld 6: 6 could not be judged, because “The AI” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about The AI.

Tools that pair well with The AI

Common stack mates teams adopt alongside The AI, with the specific reason each pairing earns its keep.

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Frequently Asked Questions

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