Top Markup AI Alternative for PR Professionals

The correction email is the one nobody forgets. A release says the company cut emissions by a third. The annual report says the group did; the subsidiary you represent managed 12 percent. Every tone check passed, the sentence read well, and it was wrong about whose number it was.

Markup AI↗, the content governance platform called Acrolinx until September 2025¹, is very good at the checks that passed. It keeps terminology, tone and style consistent across every writer in a company, and its newer agents flag claims that sound risky. What it does not do is open your annual report. For anyone who puts a client's name on a statement, that is the gap that hurts, and it is the gap QuoteIt is built around.

Our verdict: keep Markup AI if a brand or documentation team already runs it for terminology. For anything with facts and a spokesperson's name on it, you need a tool that checks claims against the documents they came from, and that is a different job.

Markup AI is good at making many writers sound like one company. It enforces approved terms, style rules and brand voice inside the tools people already write in, including Word, Google Docs and AI assistants such as ChatGPT and Claude². Its Enterprise plan adds group-level control over which style guides members see³.

The agent catalog↗ goes further than a grammar checker: separate agents check brand voice, style, terminology, dates and times, risky claims, source attribution, freshness and links⁴. A detail PR people will like: the Brand Terms agent↗ skips quotations and proper names by default, so it will not "correct" a CEO's own words into house style⁵.

Data handling is also reasonable for enterprise buyers. Its terms↗ say customer content is not used to train foundation models⁶, and its product privacy page↗ says uploads and outputs are deleted after 30 days⁷.

Public reviews are few, which tells you who buys it: brand and documentation teams at large companies, not PR desks. Read them together with forum threads where technical writers compare style tools, and the same four themes keep coming back.

First, setup is the real work. Teams describe the first stretch as building term lists, guidelines and voice profiles before the checks are useful, and some call that stage a showstopper. Second, the interface speaks the language of linguists, with options that non-specialists find hard to read. Third, out-of-the-box rules raise false positives that someone has to tune away. Fourth, the price is high for a smaller team, and when the service is unreachable the checks disappear from the writer's screen.

Among technical writers, the usual alternative is Vale↗, a free, open-source style linter that runs on rules kept with the documentation itself⁸. That tells you where Markup AI's strength lies: in governed, high-volume documentation, where someone owns the rules full time.

For a PR team the takeaway is simple. If nobody on your side will own the term lists and rule tuning, you are paying for a system that someone else has to make useful, and it still will not check a single fact against a source.

No. Markup AI can flag a claim that sounds unsupported, but it cannot tell you whether the claim matches your source, because it never receives your source. The API request that runs its Claims agent↗ takes the text and optional settings, with no field for evidence⁹¹⁰.

The Accuracy Agent announced on 3 November 2026↗ is a real step forward, but it compares a document with itself, finding places where the text disagrees with itself, in eight kinds of conflict¹¹. A release that consistently gives the parent company's revenue to the subsidiary contradicts nothing. Markup AI has not published how often the agent is right.

The terms settle who carries the risk: the customer is solely responsible for checking the accuracy of output⁶. That is normal for software. It also means the checks that matter for a release, whose result a figure is, which period it covers and whether a target has been written as achieved, stay with your reviewers.

Markup AI lists Starter at $249 a month with the annual discount, for 12 million words a year and unlimited users, and Business at $999 a month for 50 million words with priority support². Its homepage carries ISO 27001 and 27701 badges¹⁴. Enterprise is priced on request and adds custom criteria, single sign-on and CMS integrations. There is a 30-day trial without a card, and the word allowance is a soft limit¹⁵.

For a PR team the price question is not the license. It is the hours someone spends building and tuning the rules before the checks earn their keep, and the review time that still goes into the facts.

QuoteIt starts where the risk starts: with the documents. You upload the annual report, the fact sheet or the board paper, and QuoteIt turns them into atomic facts, each saying whose result it is, the value, the scope and the period, with the passage it came from kept beside it. Drafts are written from those facts, and every claim in a draft is checked again against the passage it relies on.

That is how the emissions sentence from the opening gets caught. The group's figure is stored as the group's, so a draft that gives it to the subsidiary is flagged, with the passage one click away. The same check catches a target written as achieved or a half-year figure written as the full year. In Markup AI, by contrast, a persona is the reader, not the speaker¹⁶, and its voice profiles describe the brand¹⁷; its documentation index lists no page on approval or client review¹⁸.

Stay with Markup AI when the problem is consistency, not facts. If your brand team already licenses it, releases should pass the same term and tone checks as everything else the company publishes, and nothing in QuoteIt replaces that inside Word or Google Docs.

It also earns its place in regulated product lines where a wrong term is the risk: a drug name, a product category, a phrase legal has banned. Many teams will want both: QuoteIt to draft and to check every claim against its source and keep the spokesperson's own voice, and Markup AI to hold the house style.

Switch when a correction has ever come from a fact rather than a word, when spokespeople have pushed back on opinions written into their quotes, or when sign-off lives in email threads nobody can reconstruct. Those are the problems a style system was never built for. Our comparison of AI tools for PR professionals covers the wider field, and the WRITER alternative covers the closest enterprise rival.

Pick a release that once needed a correction

Choose a past release where a figure, a period or a subsidiary's name was corrected in review, and gather the documents behind it. A test on your own near miss beats any demo, and the same method works for testing an AI quote on difficult cases.

Run the uncorrected draft through Markup AI

On the 30-day trial, run the Claims, Source Authority and Date and Time Accuracy agents on the draft as it was before review. Note which of your reviewers' corrections it flags, and which errors pass because the sentence reads well.

Give QuoteIt the same documents

Upload the same documents to QuoteIt and compare its flagged claims with the corrections your reviewers made, and how fast you reach the passage behind each one.