Review Response Generator skill
The public-reply method Okara’s AI CMO uses on G2, Google, and app stores — written for the prospect reading the thread, not just the reviewer.
Download the methodology, see how the agent answers a harsh review, or run it live inside the Okara AI CMO.
- Category
- Growth
- Agent
- AI CMO
- Format
- review-response.md
- Price
- Free to download
The skill file
--- name: review-response description: Respond to public reviews the right way — fast, specific, and written for the prospect reading the thread rather than for the reviewer alone. owner: Okara AI CMO --- # Review Response Generator Every public review response is read by far more prospects than reviewers. A good reply to a bad review converts skeptics; a defensive one confirms the complaint for everyone scrolling past.
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About this skill
What is the Review Response?
The Review Response skill is the exact approach Okara’s AI CMO follows to reply to public reviews. It starts from the fact that prospects, not reviewers, are the real audience: acknowledge the specific issue in the reviewer’s own words, never argue publicly, and lead with what changed — because "we shipped a fix in March" is the most persuasive sentence available to someone deciding whether the problem still exists.
It’s written as a SKILL.md, a plain-language instruction format that people and AI agents can both follow. Use it to clear a backlog of unanswered reviews, to handle a harsh one well, or to make responses consistent across whoever writes them.
Downloading the instructions is free with an Okara account. Running the skill — reviews monitored across platforms, drafts ready within hours, and repeated themes flagged as product signals — is part of the Okara AI CMO.
Example
See it in action
You ask: “We got a brutal two-star G2 review and half of it is factually wrong. How do we respond?”
Agent does: It reframes who the reply is for: the prospect comparing vendors will read this thread, and the reviewer probably will not read it twice. So no argument, even where they are wrong — the factual correction gets stated calmly once, without contesting their experience, and the rest goes offline. The opening references the specific issue in their words rather than "sorry you had a bad experience," which reads as a template and gets discounted. The strongest line available is what changed: the fix, with the month it shipped, or an honest "not yet" if there is not one. Then it flags that this is the third review mentioning the same friction, which makes it a product signal rather than a writing problem — responding to each one individually without fixing it is theatre.
How it works
From input to output
- 1
You share the review
Paste the review and platform, plus what actually happened on your side if you know.
- 2
Okara writes for the audience
The AI CMO drafts a reply aimed at the prospect reading the thread, not just the reviewer.
- 3
It leads with what changed
A specific acknowledgment, a calm correction where needed, and the fix with its timeline.
- 4
You post and route the pattern
Details go offline, the outcome stays public, and repeated themes get flagged as product signals.
What's included
Everything it covers
Fast turnaround
Drafts within the 24–48 hour window, after which a reply reads as indifference.
Written for prospects
Every choice made for the buyer reading the thread rather than the reviewer alone.
Specific acknowledgment
References the actual issue in their words instead of a generic apology opener.
Calm corrections
States a factual correction once without arguing or contesting their experience.
"What changed" line
The fix and its date — the most persuasive sentence available in a public reply.
Pattern flagging
Spots when several reviews share one theme, which makes it a product signal.
Use cases
When to reach for it
- Clear a backlog of unanswered reviews across G2, Google, and app stores.
- Answer a harsh review without making it worse.
- Make responses consistent no matter who writes them.
- Turn a review profile from a liability into a sales asset.
- Surface the repeated complaint that is actually a product problem.
Frequently Asked Questions
Related skills
Pair it with these skills
Personal Brand
The positioning method Okara’s AI CMO uses to build a personal brand: one narrow lane, an unfair angle, recurring content buckets, and a cadence you can hold for a year.
--- name: personal-brand description: Build a personal brand on purpose — one narrow lane, a defensible point of view, a repeatable content engine, and a cadence you can actually hold. owner: Okara AI CMO --- # Personal Branding A personal brand is what people can predict about you. That means it comes from narrowness and repetition, not from posting more. This skill picks the lane,
Competitive Analysis
The market-mapping method Okara’s AI CMO uses to find who you’re really losing to, where the defensible gap is, and what to change this quarter.
--- name: competitive-analysis description: Map the real competitive set — including the spreadsheet and the status quo — find the position you can defend, and turn the findings into decisions rather than a slide deck. owner: Okara AI CMO --- # Competitive Analysis Most competitive analysis is a feature grid nobody reads. A useful one answers three questions: who are we actually losing to, why, and what should we change
Customer Journey
The evidence-based mapping method Okara’s AI CMO uses to chart the real path from trigger to renewal — with the friction points ranked and owned.
--- name: customer-journey description: Map the journey customers actually take — stages, questions, emotions, touchpoints, and the friction points where they drop — built from evidence, not from a workshop whiteboard. owner: Okara AI CMO --- # Customer Journey Map A journey map built in a workshop reflects what the team believes. A useful one is built from data and interviews, and its output is a ranked list of friction