Copy generation with a predicted conversion score attached to every variant
Anyword is an AI copywriting platform built around predictive performance scoring: every generated variant of an ad, email, landing page, or post carries a numeric prediction of how well it will perform with a chosen audience, derived from the company's dataset of published marketing copy and A and B test outcomes, alongside a brand voice and guidelines layer, a Copy Intelligence engine that analyzes your existing published content, and a Blog Wizard for long form; self-serve plans start at $39 per month billed annually.
Overview
Anyword has an unusual origin for this category. The company was founded in 2013 as Keywee, a content distribution and analytics business that spent years measuring which headlines and creative actually drove paid performance for publishers and brands. When generative AI arrived, that accumulated performance data became the differentiator, and the company relaunched as Anyword in 2021 with a simple pitch: everyone can generate copy, almost nobody can tell you which version will work.
That pitch remains the entire product thesis. Anyword generates like its competitors, but each variant is scored, and the score is the reason to open the tool. The vendor claims its predictive engine picks the better of two variants with about 82 percent accuracy compared with roughly 52 percent for a generic model, which is a vendor-published figure rather than an independent one and should be read as directional. Even discounted, the direction is right: a general model has no idea which of its own outputs converts, because it was never trained on outcomes.
The rest of the platform exists to make that score trustworthy. Copy Intelligence ingests your published, performing content and profiles what already works for your brand. Brand voice and audience profiles constrain generation. Custom models, on the higher tiers, train on your own performance data rather than the industry corpus. The Chrome extension carries the scoring into ChatGPT, Notion, Gemini, and any other text field, which is a quiet admission that people will draft wherever they like and Anyword's job is to grade the result.
Pricing is where small teams should look hard. Starter is $49 a month, $39 annually, with one seat and 50 performance predictions. Data-Driven is $99, $79 annually, with three seats and 100 predictions. Word generation is unlimited on both, which is refreshing, but predictions are the actual currency and 50 a month is not many when a single ad test burns several. Extra seats cost $59 a month each, which is expensive enough to matter.
Best for
Performance marketers and growth teams running continuous paid social, search, and email tests who already care about variant selection, have enough volume that a better pre-launch guess saves real spend, and want brand voice enforced across a small team of three or fewer seats.
Not the right fit for
- Long-form content teams and SEO publishers; the Blog Wizard exists but Anyword is a short-form performance tool at heart and Koala, Byword, or Junia produce ranking articles far more cheaply.
- Anyone who will not connect performance data; the score is the product, and an unconfigured account grading generic variants against a default audience is a $49 template gallery.
- Teams larger than three people on self-serve plans; extra seats are $59 a month each, which makes a six-person team more expensive than most competitors' entire platform.
- Low-volume advertisers; if you launch two campaigns a quarter, the prediction engine has nothing to optimize and the subscription cannot pay for itself in saved ad spend.
- Buyers who need the prediction to be independently verified; the accuracy claims are vendor-published, and you should validate them against your own results during the trial rather than accept them.
How it works
- 1
You define an audience and a brand voice first. Anyword's scoring is audience-relative, so a variant that scores well for enterprise IT buyers may score poorly for small business owners, and skipping this step produces predictions against a generic default that tell you very little.
- 2
Copy Intelligence connects to your published channels and analyzes what you have already run, benchmarking it against industry A and B test data. The output is a profile of the messages, structures, and hooks that perform for brands like yours, which then informs generation rather than sitting in a report.
- 3
You generate copy for a channel, whether that is a Google ad, a LinkedIn post, an email subject line, a landing page section, or a full blog post through the Blog Wizard. Anyword returns multiple variants, each with a predictive performance score and, where relevant, an explanation of which elements are driving the number.
- 4
You publish the winner, and where you have connected performance data, the real outcomes feed back. On the Business and Enterprise tiers, custom models train on your own results rather than the shared corpus, which is the point at which the scoring stops being an industry average and starts being about your accounts. The Chrome extension and API extend the same scoring to copy drafted outside the platform.
Feature breakdown
23 features in 5 modulesPredictive performance scoring
The one thing a general-purpose model genuinely cannot do.- Predictive performance score
- Every generated variant carries a numeric prediction of expected performance, derived from the company's dataset of published marketing copy and A and B test outcomes rather than from the language model itself.
- Audience-relative scoring
- Predictions are made against a defined audience profile, so the same headline scores differently for different segments. This is what makes the number actionable rather than decorative.
- Score explanations
- Surfaces which elements of a variant are driving the prediction, which turns the tool into a teaching aid for junior marketers rather than an oracle.
- Prediction allowances
- Metered separately from generation: 50 predictions a month on Starter, 100 on Data-Driven, 250 on Business, 500 or more on Enterprise. This meter, not words, is what actually limits you.
- Variant comparison
- Ranks multiple candidates against each other so the decision is a selection rather than a judgement call, which is the workflow the product is designed around.
Copy Intelligence and data
Where the scoring gets grounded in your business rather than the industry average.- Published content analysis
- Ingests your existing live copy and profiles what has worked, benchmarked against industry A and B test datasets, so generation starts from your proven messages.
- Performance data rows
- The volume of your own outcome data the platform will hold, metered by tier: 50 rows on Starter and Data-Driven, 5,000 on Business, 10,000 or more on Enterprise. The jump to Business is where personalization becomes real.
- Custom AI models
- Business and Enterprise tiers train models on your own performance data instead of the shared corpus, which is the difference between an industry benchmark and a model that knows your accounts.
- Private language model
- Enterprise offers a private model with data isolation, aimed at buyers who cannot send campaign data through shared infrastructure.
- RAG-grounded generation
- The API exposes retrieval-augmented generation against your own material so external applications produce on-brand, grounded output rather than generic completions.
Brand voice and governance
The table stakes layer, executed competently.- Brand voice and messaging
- Centralizes tone, positioning, and messaging so output stays consistent across channels and across whoever is drafting.
- Audience profiles
- Persona definitions that shift both generation and scoring, doing double duty in a way most competitors' audience features do not.
- Brand guidelines enforcement
- Rules and constraints applied at generation time so banned claims and off-brand phrasing do not reach the review stage.
- Plagiarism checker
- Included on paid plans, mostly relevant for agencies that need a defensible record of originality.
Generation surfaces
Every channel a performance marketer works in, plus a long-form attempt.- Channel templates
- More than a hundred templates across paid ads, demand generation, email, social, product marketing, SEO, and website copy.
- Data-driven editor
- A writing surface where generation and prediction happen together, so you choose the variant before publishing rather than after spending money on it.
- Blog Wizard
- Long-form article generation with brand voice applied. It is competent but it is not why anyone buys Anyword, and dedicated SEO writers do this better and cheaper.
- Unlimited word generation
- Every paid plan generates unlimited words. The constraint is predictions, which is a more honest meter than a word bucket because it is tied to the thing that costs the vendor something.
- Website automation
- Applies generation and scoring to on-site copy so landing page variants can be produced and ranked in the same workflow as ads.
Distribution and integration
Carrying the score to wherever the writing actually happens.- Chrome extension
- Applies brand voice and scoring inside ChatGPT, Gemini, Notion, and other web text fields, acknowledging that people draft outside the platform.
- API access
- Programmatic performance predictions and RAG-grounded generation for teams embedding Anyword in their own systems. Full API access is an Enterprise entitlement.
- Model-agnostic architecture
- Anyword positions its scoring layer as working with any underlying model or agent, so the prediction engine survives model changes underneath it.
- SSO
- Single sign-on on the Enterprise tier for buyers with identity management requirements.
Use cases
4 documentedPaid social manager at a direct-to-consumer brand
Every campaign launches with six creative variants and the first week of spend is effectively paid research into which one works.
Variants are scored before launch against a defined audience, the weakest are cut without spending on them, and the learning cycle shortens from a week of budget to a scoring pass.
Growth marketer running lifecycle email
Subject lines are chosen by whoever writes them, open rates vary wildly, and there is no institutional memory of what worked six months ago.
Copy Intelligence profiles the historic winners, scoring ranks new subject lines against the same audience, and the brand voice layer keeps a rotating cast of writers consistent.
Small agency handling performance accounts
Clients ask why a particular headline was chosen and the honest answer has always been experience and taste.
Scores and score explanations give a defensible rationale in the deck, and audience-relative predictions let the same creative concept be tuned per client segment. The three-seat cap and $59 additional seats bound how large the team can get.
Product marketer launching into a new segment
The existing messaging works for the current audience and there is no data at all on what resonates with the new one.
Audience profiles let variants be scored against the target segment using industry benchmark data before any spend, giving a starting hypothesis rather than a blank page.
Pricing
from $39 per month billed annually, or $49 billed monthlyPer-plan subscription with unlimited word generation, metered by performance predictions, performance data rows, and seats.
| Plan | Price | Includes |
|---|---|---|
| Starter | $49 per month, or $39 billed annually |
Fifty predictions is the binding limit. A single multi-variant ad test can consume a meaningful share of the month's allowance. |
| Data-Driven | $99 per month, or $79 billed annually |
The default plan for a real marketing team, though the data-row allowance is identical to Starter, so your own performance history stays shallow until Business. |
| Business | Custom quote annual |
This is where scoring stops being an industry benchmark and starts reflecting your accounts, and also where pricing stops being published. |
| Enterprise | Custom quote annual |
|
Add-ons
- Additional seat ($59 per month, or $49 billed annually): Capped at 10 seats on Data-Driven and 20 on Business. At $59 a seat this is one of the more expensive seat add-ons in the category.
Billing notes
- Annual billing saves 20 percent, taking Starter from $49 to $39 and Data-Driven from $99 to $79.
- Word generation is unlimited on every paid plan; predictions are the real meter and they do not roll over.
- Performance data rows are identical on Starter and Data-Driven at 50, so upgrading from $49 to $99 buys seats and predictions but not a deeper view of your own history.
- Additional seats at $59 a month cost more than the entire Starter plan, so a five-person team on Data-Driven pays $99 plus $118, which is $217 a month.
- Custom models and full API access require a sales-quoted Business or Enterprise contract, which puts the most differentiated capability outside self-serve.
- The 7-day trial is capped at 2,500 words, which is enough to test the scoring workflow but not enough to test it on a real campaign.
Value assessment: Anyword is worth its price only if you spend money on distribution. For a team running continuous paid campaigns, $79 to $99 a month to reduce the number of losing variants that reach live spend is trivially justified, because a single avoided week of bad creative pays for a year. For a team that publishes organically and rarely tests, the score is a novelty and the same money buys far more capable generation elsewhere. The awkward middle is the Starter plan: 50 predictions and 50 data rows is a demonstration allowance rather than a working one, and most buyers who genuinely need Anyword will find themselves on Data-Driven within a month.
Strengths & limitations
Strengths
- Predictive performance scoring is the only feature in this entire category that a frontier model genuinely cannot replicate, because it requires outcome data the model was never trained on.
- Audience-relative scoring is the right design: the same headline scoring differently per segment is what makes the number a decision input rather than a vanity metric.
- Copy Intelligence grounds the system in your own published, performing content instead of asking you to describe your brand in a text box.
- Unlimited word generation on every paid plan removes the anxious word-counting that plagues competitors, and metering predictions instead is a more honest meter.
- The Chrome extension carrying brand voice and scoring into ChatGPT, Gemini, and Notion accepts reality: people draft where they like, and the value is in grading the output.
- A decade of performance data from the Keywee era is a genuine asset in a category where most competitors started from nothing in 2021.
Limitations
- The accuracy claims, including the frequently cited 82 percent figure, are vendor-published and not independently audited. Validate them against your own campaigns before treating the score as truth.
- Prediction allowances are tight. Fifty a month on Starter is a demonstration, not a working budget, and the meter does not roll over.
- Performance data rows stay at 50 through both self-serve tiers, so the version of Anyword trained on your own results requires a sales-quoted Business contract.
- Additional seats at $59 a month are expensive enough to reshape the buying decision for any team above three people.
- Long-form and SEO capability is present but unremarkable. Buying Anyword as a blog writer is buying the wrong tool.
- The company has raised roughly $30M with the last major round in 2021, and there has been no large announced raise since, which is worth noting for a business competing against much better-funded platforms.
Head-to-head comparisons
3 alternativesAnyword vs Jasper
from $59 per seat per month billed annually, or $69 billed monthlyJasper enforces how copy sounds, Anyword predicts whether it will work. Jasper is $69 for a single seat with a deep brand-governance layer and a proper team workspace behind a sales quote; Anyword is $79 to $99 with three seats and a scoring engine nothing else in the category matches. Performance marketers optimizing ads and landing pages should take Anyword; content teams needing one voice across long-form, email, and creative should take Jasper.
Full Anyword vs Jasper comparisonAnyword vs Rytr
from $0 free forever, then $7.50 per month on the yearly planRytr generates short-form copy for $7.50 a month and makes no claim about which version performs. Anyword costs roughly ten times that and the entire premium is the prediction. If you are a solo operator writing product descriptions and social posts with no paid spend behind them, Rytr does the job and Anyword's score has nothing to optimize. If you are spending real money on distribution, Rytr is the false economy.
Full Anyword vs Rytr comparisonAnyword vs Wordtune
from $0 free forever, then $4.89 per month billed annuallyWordtune improves the sentence in front of you for under $10 a month; Anyword tells you which of five sentences will convert. They solve adjacent problems and a performance team can reasonably run both, since Wordtune helps drafting and Anyword helps selection. If your problem is that your writing reads awkwardly, Wordtune is the cheaper and more direct fix.
Full Anyword vs Wordtune comparisonImplementation & onboarding
- Setup time
- Roughly two hours to configure brand voice, define audiences, and connect published content to Copy Intelligence. Generating without doing this takes five minutes and produces predictions against a generic default that are close to worthless.
- Learning curve
- Low for generation, moderate for interpretation. Marketers need a few cycles to learn how large a score gap has to be before it is a real difference rather than noise, and the score explanations are the fastest route to that intuition.
- Onboarding
- Self-serve for Starter and Data-Driven with a 7-day, 2,500-word trial. Business and Enterprise are sales-led and include assistance with custom model training, which is the part that genuinely needs help.
- Migration notes
- Nothing to migrate technically, but Copy Intelligence needs your published history to be reachable, so budget time for connecting channels and exporting past campaign results. Your performance data rows stay capped at 50 on self-serve plans, which means your historical results largely inform the profile rather than being stored wholesale.
Platform, API & security
- Platforms
- Web applicationChrome extensionAPI
- API
- API exposing performance predictions and retrieval-augmented generation against your own material. Full API access is an Enterprise entitlement.
- Compliance
- GDPRSOC 2
- Data residency
- Not published as a customer-selectable option on self-serve plans.
- SSO
- Single sign-on on the Enterprise tier.
- Security notes
- Anyword positions its architecture as model-agnostic with data isolation, and offers a private language model at the Enterprise tier for buyers who cannot route campaign data through shared infrastructure. Self-serve buyers should confirm data-handling specifics directly rather than inferring them from Enterprise messaging.
Support & resources
- Channels
- Email and in-app supportDedicated support on Business and Enterprise
- Documentation
- Product documentation plus a substantial library on performance copywriting and prediction methodology.
- Community
- No large official user community; the customer base is concentrated among performance marketing teams.
Company
- Founded
- 2013
- Headquarters
- New York, New York, United States
- Ownership
- Venture-backed
- Founders
- Yaniv Makover, Adam Habari
- Employees
- Not disclosed
- Funding
- Approximately $30.1M raised across two rounds, headlined by a $21M Series B in November 2021 led by Innovation Endeavors. No large round has been announced since.
Funding history
| Round | Amount | Year | Notes |
|---|---|---|---|
| Earlier rounds (as Keywee) | Approximately $9M | 2013 to 2020 | Raised while operating as Keywee, a content distribution and performance analytics business. |
| Series B | $21M | 2021 | Led by Innovation Endeavors, funding the relaunch as Anyword around predictive performance scoring. |
Timeline
- 2013Founded by Yaniv Makover and Adam Habari as Keywee, a content distribution and performance analytics company working with publishers and brands.
- 2020Years of measuring which headlines and creative actually drove paid performance accumulate into a proprietary dataset of copy and outcomes.
- 2021Relaunches as Anyword, applying that dataset as a predictive scoring layer on top of generative copywriting, and raises a $21M Series B led by Innovation Endeavors in November.
- 2023Adds Copy Intelligence to analyze a customer's own published content, and custom models trained on customer performance data at higher tiers.
- 2024Ships the Chrome extension carrying brand voice and scoring into ChatGPT, Gemini, Notion, and other external writing surfaces.
- 2026Positions the scoring layer as model-agnostic and agent-compatible, with API access to predictions and retrieval-augmented generation for teams embedding it in their own systems.
Integrations
- Chrome extension for ChatGPT, Gemini, Notion, and web text fields
- Paid advertising platforms for copy deployment
- Email and marketing operations tools
- Published content channels for Copy Intelligence analysis
- API for predictions and RAG-grounded generation
- SSO identity providers (Enterprise)
Frequently asked questions
10 questionsWhat is Anyword?
Anyword is an AI copywriting platform whose distinguishing feature is predictive performance scoring. Every generated variant of an ad, email, headline, or landing page section carries a numeric prediction of how well it will perform with a chosen audience, based on the company's dataset of published marketing copy and A and B test outcomes rather than on the language model's own judgement.
How much does Anyword cost?
Starter is $49 a month, or $39 billed annually, with one seat, 50 performance predictions, and 50 performance data rows. Data-Driven is $99, or $79 annually, with three seats and 100 predictions. Business and Enterprise are sales-quoted and add custom models, far more data rows, a private model, SSO, and full API access. Additional seats are $59 a month. The trial is 7 days and 2,500 words.
How accurate is the performance prediction?
The vendor states its engine picks the better of two variants about 82 percent of the time versus roughly 52 percent for a generic model. That figure is published by Anyword and is not independently audited, so treat it as directional. The underlying logic is sound, since a language model has no outcome data and therefore no basis for ranking its own output, but you should validate the score against your own campaign results during the trial.
What does the meter actually limit?
Not words. Word generation is unlimited on every paid plan. The meters are performance predictions, which is 50 a month on Starter and 100 on Data-Driven, and performance data rows, which stays at 50 on both self-serve tiers. Predictions do not roll over. If you run multi-variant tests regularly, 50 predictions is a demonstration allowance and you will be on Data-Driven quickly.
Is this better than paying for a frontier model directly?
This is the one product in the category where the answer is a clear yes for the right buyer. ChatGPT or Claude will write ad copy at least as well, but neither can tell you which variant converts, because neither was trained on outcomes. If you spend money on distribution and choose between variants regularly, that prediction is worth paying for. If you do not test, you are paying for a number you will ignore.
Can Anyword write long-form blog content?
Yes, through the Blog Wizard, and it applies brand voice properly. But long-form is not what Anyword is for, and dedicated SEO article tools such as Koala, Byword, or Junia produce ranking content at a fraction of the cost with real-time SERP grounding and one-click publishing. Buy Anyword for short-form performance copy and use something else for the blog.
Does Anyword train a model on my own data?
Only on the Business and Enterprise tiers. Self-serve plans score against the shared industry corpus with a shallow 50-row view of your own performance history. Custom models trained on your results, along with 5,000 or more data rows and a private language model at Enterprise, all require a sales-quoted contract. This is the most important limitation in the packaging.
How many people can use it?
One seat on Starter and three on Data-Driven, expandable to ten. Extra seats are $59 a month each, which is more than the entire Starter plan, so a five-person team on Data-Driven pays about $217 a month. Business expands to twenty seats but is sales-quoted. Team size is a real cost driver here in a way it is not with most competitors.
Does the Chrome extension mean I can keep using ChatGPT?
Yes, and that is deliberate. The extension applies your stored brand voice and scoring inside ChatGPT, Gemini, Notion, and ordinary web text fields, which acknowledges that most marketers will draft wherever they are comfortable. It positions Anyword as a grading and governance layer on top of whatever generation you already do rather than as a place you must write.
Who is behind Anyword?
Anyword was founded in 2013 as Keywee by Yaniv Makover and Adam Habari and is headquartered in New York. It operated for years as a content distribution and performance analytics company before relaunching as Anyword in 2021 on the strength of the performance dataset it had accumulated. It has raised roughly $30M, including a $21M Series B in November 2021 led by Innovation Endeavors.
Editorial verdict
Anyword is the only product in this category with a defensible answer to the question every buyer should ask, which is why not just use ChatGPT. The answer is outcome data: a frontier model can write five headlines but has no idea which one converts, and Anyword does, or at least has a decade of evidence about what has converted for brands like yours. That makes it the right buy for performance marketers with real distribution spend and continuous testing, where a single avoided week of bad creative repays the year. It makes it the wrong buy for everyone else, because without campaigns to optimize the score is decoration. Watch the packaging: 50 predictions and 50 data rows on Starter is a demo, seats are $59 each, and the version trained on your own results needs a sales conversation.
Written by the SaaSTracker editorial team. Awards, when shown, are judged against the published criteria in our methodology.
Awards & badges
1 heldAnyword holds 1 award from the SaaSTracker editorial program. Badges may be displayed by the vendor; each embed links back to this profile.
Innovation · AI Writing & Content Generation
“A predicted conversion score attached to every generated variant turned copywriting output into a measurable decision rather than a guess.”
<a href="https://saastracker.org/products/anyword"><img src="https://saastracker.org/badges/embed/anyword/innovation-summer-2026.svg" width="180" height="180" alt="Anyword: Innovation, AI Writing & Content Generation. SaaSTracker Summer 2026 Awards." /></a>
