Persuasion Taxonomy
Plan and check marketing copy against the nine questions every reader asks. Free, no API key.
| Endpoint | https://taxonomy.coppica.com/mcp (streamable-http) |
|---|---|
| Registry version | 1.0.3 |
| Now | 9 tools · grade B (89) · pin ts_14411abb0f68fa449fd8efcdafe5e774 · protocol 2025-06-18 |
| First / last listed | 2026-10-27 04:58 UTC / 2026-10-27 04:58 UTC |
| Grade over time | 2026-10-27: B (89), 9 tools |
Is this your server? Own a server? ToolFit hosted watch re-checks it every 24 h ($0.25 per 30 days) or 6 h ($0.60) and sends you an HMAC-signed webhook when its tools or grade change: POST https://api.youraitools.co/toolfit/v1/watch. To opt out, see About & opt-out.
Tools: plan_marketing_copy diagnose_marketing_copy explain_why_not_converting find_persuasion_techniques get_persuasion_technique check_headlines check_marketing_claims plan_ab_test read_ab_test_result
plan_marketing_copy | Plan any piece of marketing copy before you write it, whether it's an ad, a landing page, a sales page or sales letter, an email, a subject line, a social post, a headline or a video script. Give it the goal, the reader and the offer, and it tells you which of the nine questions every reader silently asks this piece has to answer, which ones deserve the most words for this reader, and a few ways t params: goal*, format*, audience*, offer*, awareness_level, category, persuasion_mode, options_per_question |
diagnose_marketing_copy | Review, critique or roast any piece of marketing copy, whether it's an ad, a landing page, an email, a sales page, a social post or a script, and find out why it might not persuade. Before you call it, read the copy and label each line with the one reader question it mainly answers, quoting the words exactly. Those labels go in the moves array. You get back which of the nine questions the copy ans params: copy*, goal*, format*, moves*, awareness_level, category, headline, persuasion_mode, brief |
explain_why_not_converting | Work out why an ad, a landing page, an email or a whole funnel isn't converting. Start from what you can see. Maybe people don't click (a low CTR), or they click and bounce, or they read and don't buy. Maybe they abandon the checkout or the form, the leads never buy, customers buy once and leave, or emails don't get opened or get opened and nobody clicks. Whatever the symptom, you get back the rea params: symptom*, format, details, category, persuasion_mode |
find_persuasion_techniques | Search the Persuasion Taxonomy, 766 named persuasion techniques documented from real advertising and organized by the nine reader questions they answer. Describe what you want the copy to do, like build trust without testimonials, create urgency without fake scarcity, handle a price objection, make an opening less generic, prove a claim or reframe a problem. It finds the techniques that do it. Eac params: query*, question, format, category, limit |
get_persuasion_technique | Look up one persuasion technique by its ID (like PT-PRV-10000), its slug or its name. You get the full definition, why it works, when it lands and when it backfires, real examples from advertising, related and opposite techniques, and a link you can cite. Use it before you apply or recommend a technique so you get it right, and whenever someone asks what a tactic is called or how it works. params: id*, category |
check_headlines | Check headlines, email subject lines, ad openings, video hooks, social post openings and first lines, and compare options against each other. For each line it tells you whether the line does its job in that spot, meaning which of the nine reader questions it answers, and whether a competitor could send it unchanged. It also shows exactly what a reader sees before the cutoff, flags anything that fa params: slot*, lines*, brief, follows, awareness_level |
check_marketing_claims | Check whether marketing claims and calls to action are specific enough to believe. It catches the vague superlative, like "the best" or "#1", that readers discount on sight. It catches promises with no proof behind them and results with no mechanism, and it flags the generic buttons everyone uses, like "Learn more" and "Get started". Then it tells you how to fix each one. Use it when you write or params: claims* |
plan_ab_test | Plan an A/B test for marketing copy. Give it the current conversion rate, the smallest lift worth detecting and the daily traffic, and it tells you how many visitors each version needs and how many days to run. It also frames the test as two different answers to the same reader question, so the result teaches you something you can reuse, and not just that "B won". Use it when someone asks how long params: baseline_conversion_rate_percent*, minimum_detectable_lift_percent*, daily_visitors*, versions, confidence, power, question, version_a, version_b |
read_ab_test_result | Read the result of an A/B test. You get each version's conversion rate and lift, whether the difference is statistically significant, the confidence interval, and the chance each version really beats the original. It also warns you about the things that make a test result lie. Those include too few conversions, traffic that didn't split the way it should (a sample ratio mismatch), stopping the mom params: versions*, intended_split, confidence, question |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.