TMX Visibility Review 2026
Tracks AI citations, average AI rank and share of voice next to GA4 data, and helps in-house content teams review and improve drafts so articles get cited in AI search.

Key takeaways
- TMX Visibility is a content operations tool first and a tracker second. It scores drafts and live URLs for information gain, entity coverage and intent fit, then follows published articles through AI citations and GA4 data.
- Tracking is counted per article, not per prompt, with weekly sync on Pro and Business and no daily runs. It is far lighter than Promptwatch, which offers real-UI prompt tracking with volumes and difficulty, IP-verified AI crawler logs, visitor analytics, Reddit/YouTube/LinkedIn citation tracking, AI Shopping and Ads Radar, and a Content Agent that publishes to WordPress, Webflow and Framer.
- The free tier is generous for a writing studio (200 one-off credits, all 7 KPI scorers), and paid plans start at $19/month. Credit-based billing makes real costs depend on usage.
- Best for in-house content teams and small agencies that want editorial quality gates and approvals. Weak fit for anyone who mainly needs broad prompt monitoring across many AI engines.
- No independent reviews, G2 or Capterra listings or customer testimonials turned up, so most claims here come from the vendor's own site.
TMX Visibility is a content intelligence and performance platform sold at visibility.tmx.center, under the TMX Center brand. The pitch is simple: buyers now ask AI platforms for answers and read summaries and citations before they ever reach your site, so articles need to add real information, cover the right entities and be structured so machines can parse them. TMX Visibility tries to measure those things before you publish, and then watch what happens after.
It is aimed at content teams, SEO and GEO teams, and agencies. The homepage also speaks directly to CMOs, CROs, CEOs and founders who want a live view of what is being written, who owns it and what is waiting for sign-off. That is an unusual angle in a market full of dashboards that just count brand mentions.
One point to be clear on: it is not a content generator in the way Jasper or Copy.ai are, and the FAQ says so directly. It works on content you already have. Import a draft, paste text, or point it at a live URL, and it returns a score and ranked fixes. Your writers and editors do the writing. That said, the pricing page also mentions outline and draft generation inside the studio, so the line is blurrier than the FAQ suggests.
Key features
Import and evaluate. You bring in a draft, pasted text or a published URL. The homepage has a free analyzer where you paste a URL and get a 0 to 100 visibility score with a ranked list of improvement points. That is a smart on-ramp. You see the product working on your own content before creating an account. Each piece is checked against search intent, competitors, personas and brand voice.
Information gain analysis. This is the headline feature. TMX benchmarks a draft against the top 10 results, identifies where it says nothing new, and gives an uplift score. The demo shows a draft moving from 5.6 to 8.4 after original benchmarks were added, with gaps called out in things like implementation steps, pricing details, use cases and expert insights. Treat those numbers as illustrative demo data, not benchmarks. But the idea is sound. Generic restatements of a category rarely get cited, and few competitors score this explicitly.
Entity coverage. The platform builds an entity map and topic clusters for the subject, detects missing entities and produces a coverage score (the demo shows 26 of 31 covered). Entities are split into topics and concepts, products and companies, and people and places. In the demo, a payments article is flagged for missing payout speed and EU markets. It is useful as an editor's checklist, much like the term lists in classic on-page SEO tools, only framed around AI comprehension.
Citation-ready structured output. Every article can ship with a machine-friendly JSON file listing entities, sources and the questions it answers. The pricing page ties JSON-LD schema generation to the Pro plan, and the features page mentions inline source citations and FAQ or how-to structure. One thing to weigh: Promptwatch Data found markdown files are only 0.05% of AI search citations (Markdown in AI Search), so structured files help agents more than they help AI search retrieval. Do not expect a JSON sidecar to move citations on its own.
Funnel and intent alignment. Prompt clustering and intent detection match each article to the buyer question it should win, with TOFU, MOFU and BOFU fit scoring. Useful for planning a content calendar, less useful if you already have a mature intent taxonomy.
Prioritized recommendations and approvals. Each recommendation is ranked by expected impact and effort. Your team can approve, edit, dismiss or move any item into production. Articles move through six stages: brief, outline, draft, review, approve, publish and track. The approval workflow with team roles and discussion is limited to the Business plan, which is a real constraint for smaller teams.
AI citations, average AI rank and share of voice. After publication, TMX tracks citations, average AI rank and share of voice across prompts you choose, and puts them next to GA4 sessions, key events and conversions. It can also compare article and writer performance and connect results to content cost, cost per visit and cost per conversion. That last part is the most interesting to finance-minded leaders. Few tools in this space attempt cost-per-conversion by article.
Brand voice, personas and knowledge base. Writers get brand voice settings, buyer personas, knowledge sources such as help centers, docs and research, plus writing rules and guardrails. The free plan includes an AI assistant with 9 modes, an improvements panel, a QA report and a kanban pipeline view.
Executive view. A leadership dashboard shows workflow progress, quality signals, pending approvals and AI-search visibility, plus monthly executive reports and prioritized action plans.
Who is it for
The sweet spot is an in-house content team of 3 to 15 people at a B2B SaaS, fintech or services company that publishes a steady stream of long-form articles and wants a quality gate before anything goes live. Think a content lead who is tired of drafts living in Google Docs, approvals buried in Slack, and quality judged by gut feel. The score gives editors something to point at.
Small agencies are a second fit. The Business plan offers 10 workspaces and unlimited seats, pitched at agencies running many brands in parallel. The homepage example domain, tokenminds.co, hints at a link to the TokenMinds agency, though that is unverified. CMOs and founders who want to see what the content team is shipping, without asking in a chat thread, are the third audience.
Who should skip it? Anyone whose main need is broad monitoring, such as tracking hundreds of prompts daily across ChatGPT, Gemini, Perplexity and AI Overviews by country. TMX counts tracking per article and syncs weekly at best. Teams that need a deep source and citation research workflow, crawler log analysis or shopping visibility should look at dedicated GEO platforms. The GEO software directory at bestgeosoftware.com lists options.
Integrations and ecosystem
The only integration confirmed is Google Analytics 4, used for the sessions, key events and conversions reporting. Pro adds JSON-LD schema generation, and Lite adds offsite publisher coordination. We found no public integration catalog, no CMS connectors, no API documentation and no MCP server docs. Exports and a browser extension were not mentioned either.
That matters. Content ops tools live or die on how well they plug into the CMS, and nothing here suggests one-click publishing to WordPress or Webflow. Verify with the vendor before you commit.
Pricing and value
Pricing is credit-based, billed monthly, with no long-term contract (confirm current numbers at the official pricing page):
- Free, $0: 200 one-off credits, 1 workspace, 1 seat, no card needed. Includes the draft studio, outline and draft generation, all 7 KPI scorers, the AI assistant, brand voice, personas, knowledge base and a pipeline view. No GEO tracking.
- Lite, $19/month: 2,000 credits per month, 1 seat. Adds image generation, a model picker, offsite publisher coordination and GEO tracking of 5 articles with on-demand sync.
- Pro, $199/month: 20,000 credits, 3 workspaces, 5 seats, GEO tracking of 25 articles with weekly sync, advanced briefing and JSON-LD schema generation.
- Business, $499/month: 40,000 credits, 10 workspaces, unlimited seats, GEO tracking of 100 articles, team roles, discussion and approval workflow.
- Enterprise: custom credits, onboarding and reporting.
One article uses about 200 credits end to end, so Lite covers roughly 10 articles a month, Pro about 100 and Business about 200. The numbers look odd, though: Pro gives 20,000 credits and Business only 40,000, so the jump from $199 to $499 mostly buys workspaces, seats, tracking slots and approvals. Top-up packs never expire: 1,000 credits for $10, 5,000 for $50, 10,000 for $100.
Be careful not to mix this up with trackmyvisibility.com, a different product with similar initials and its own plans.
For value, the free tier is the draw. At $19, Lite is cheap for a solo writer. Compare it with Promptwatch, where Essential is $95/month with 50 prompts, 6,000 responses, all AI models, site audit, 360 Insights and content gap analysis, and where Business at $579/month adds the automated Content Agent. Those are different products at different depths, so the price gap reflects the scope.
Strengths and limitations
Strengths
- Information gain scoring is explicit and tied to the top 10 results, which is a sharper idea than generic content grades.
- A free analyzer and a free plan let you test on real articles at no cost.
- Content cost, cost per visit and cost per conversion per article and per writer is a rare angle.
- Approvals, ownership and stages give leaders a view of the whole content operation.
- Entity coverage maps give editors a concrete checklist.
Limitations
- Tracking is per article rather than per prompt. Lite gets only 5 articles with manual sync, and daily tracking is not offered.
- Credits make monthly cost unpredictable if you score, regenerate and track heavily.
- Approval workflow is locked to the $499 Business plan.
- Only GA4 is confirmed as an integration. No public API, MCP or CMS publishing found.
- No independent reviews, G2 or Capterra presence, or customer testimonials. The sample metrics (82/100, +43%) are demo data.
- The vendor comparison table claiming SEO tools and AI writers lack these features is marketing, not research.
Compared with Promptwatch
TMX Visibility overlaps with the GEO space because it tracks citations, average AI rank and share of voice, so the gaps are worth stating plainly. Promptwatch adds capabilities TMX does not list:
- Real-UI prompt tracking across 15+ AI engines with prompt volumes, difficulty scoring and query fan-outs
- IP-verified AI crawler logs and crawl-to-citation tracking
- Visitor analytics attributing AI traffic and conversions
- Google Search Console and Bing Webmaster data next to AI data
- Reddit, YouTube and LinkedIn citation tracking, page tracker and offsite mentions
- AI Shopping, Amazon Alexa and Ads Radar
- Content gap analysis, the Content Agent with CMS publishing to WordPress, Webflow and Framer, Agent Chat and the Action Board
- Coding agent visibility for Codex, Claude Code and OpenCode
TMX answers a narrower question: is this article good enough, and did it perform? Promptwatch answers how to grow AI-driven revenue, and does the work.

Bottom line
TMX Visibility is worth a look if your bottleneck is article quality and editorial process rather than visibility data. The information gain score and approval trail are real ideas, and the free plan costs nothing to test. I would not pick it as a full AI visibility platform, because per-article weekly tracking and a single confirmed integration leave big gaps.
Teams that want optimization at scale, with prompt tracking, crawler logs, traffic attribution and agents that publish, should use Promptwatch instead. Best use case in one sentence: an in-house content team that wants a measurable quality gate and approval workflow before articles go live.


