EngageMuse Insights uses AI to analyze each post and builds a profile of its ideal reader, based on dimensions you choose.

Bushnell WebWorks

<p><strong>EngageMuse Insights</strong> is a simple way to see who your post will truly speak to. Click <strong>Analyze</strong> and get an <strong>Audience Profile</strong> with up to eight <strong>Audience Dimensions</strong> (e.g., Emotional State, Core Values & Beliefs, Decision-Making Style). Each dimension yields plain-language <strong>Descriptors</strong>—with confidence rankings—or <strong>indeterminate</strong> when there isn’t a clear signal.</p>
<h3>What you can do</h3>
<ul>
<li>Analyze a single post while editing, even while unsaved</li>
<li>Analyze a small batch of posts, with any status, from a clean table view</li>
<li>Use smart defaults or type your own Audience Dimensions  </li>
<li>Optionally Add <strong>schema.org</strong> and <strong>JSON</strong> to the page head  </li>
<li>Run on the <strong>Free plan</strong>, or connect your own model: <strong>OpenAI</strong> or <strong>Google Gemini</strong></li>
</ul>
<h3>How it works</h3>
<ol>
<li>Choose your Audience Dimensions (up to 8).  </li>
<li>Click <strong>Analyze</strong>.  </li>
<li>Review the Audience Profile and adjust headlines, tone, or CTAs.</li>
</ol>
<h3>Why it matters</h3>
<ul>
<li>Aim content at the right readers—before you publish  </li>
<li>Replace hunches with quick, shareable evidence  </li>
<li>Reduce wasted impressions by avoiding tone-deaf placements—e.g., exuberant CTAs on somber stories  </li>
</ul>
<p>Ship smarter posts with a light touch. <strong>Measure resonance, not just reach.</strong></p>
<p>This plugin is currently in a “public beta” phase. Please report feedback or bugs to <a href="mailto:dev@engagemuse.com" rel="nofollow ugc">our development team</a>. <a href="https://gitlab.com/bushnellwebworks/wp-projects/-/tree/main/plugins/engagemuse/engagemuse-insights" rel="nofollow ugc">Development source</a></p>
<h3>External services</h3>
<p>This plugin connects to an API to communicate with a Large Language Model. It sends only the title and content of selected posts. Depending on configuration, these are the services used:<br />
1. Open AI: <a href="https://openai.com/policies/" rel="nofollow ugc">Terms & policies</a><br />
2. Google Gemini: <a href="https://ai.google.dev/gemini-api/terms" rel="nofollow ugc">Terms</a> <a href="https://ai.google.dev/gemini-api/docs/usage-policies" rel="nofollow ugc">Policies</a><br />
3. If using the Free Tier, requests are sent to a private endpoint at api.busww.com, where they are proxied to an Open AI endpoint. <a href="https://api.busww.com/terms.html" rel="nofollow ugc">Terms</a> <a href="https://api.busww.com/privacy.html" rel="nofollow ugc">Privacy Policy</a></p>


Alternatives to EngageMuse Insights

Top alternatives