10 Ways to Fix Your Glassdoor Rating for AI and Humans

By Susan Dutcher · 9 min read · Updated August 2026

10 Ways to Fix Your Glassdoor Rating for AI and Humans, by Susan Dutcher, sponsored by Semrush

This newsletter edition is sponsored by Semrush. When you purchase through links in my post or newsletter, I may earn an affiliate commission.

You don't fix a Glassdoor rating with a fire hose.

AI bots are already reading your Glassdoor reviews before candidates ever talk to you.

Glassdoor is not ruining your reputation. Your system is.

A low Glassdoor rating is rarely a lie. It's usually an unmanaged feedback loop showing up in public. And here's the part most leaders miss: reputation is not something you fix. It's built, with ownership, discipline, and a repeatable system.

I've built candidate experiences that earned a 95 NPS, and I've sat in the rooms where hiring and retention decisions get made. When your ratings slip, so does your reputation. Offers get declined, people ghost, and your recruiters feel it first.

So it's time to build it with a plan you can run on repeat. Here are 10 steps to turn your Glassdoor page from a liability into a hiring asset.

The 10-step system

1. Give reputation management an owner

“Everyone's job” is nobody's job. Assign one person or team to own your employer reputation as an ongoing function, not a fire drill. Ownership is the difference between a page that drifts and a page that climbs. Everything else in this list depends on this step, so start here.

2. Manage your Glassdoor page like it's your storefront

Because it is. Claim it. Complete it. Update your photos, your mission, your benefits, and your leadership responses. An outdated page reads as an abandoned culture, and candidates notice. Treat it like the front door it's become.

3. Run an internal review campaign, and explain why it matters

Most employees have no idea their review moves the needle. Tell them. Show your team how ratings shape who applies, who accepts, and how hard your recruiters have to work. When people understand the stakes, they show up. Ask for honest reviews, not glowing ones. Authenticity is the whole point. Leverage your management team to ask for feedback reviews directly.

Without thoughtful management, your page tells a narrow story. Most people only post when they're upset, so the good work your team does every day never shows up. A review campaign makes sure the full picture gets told, not just the loudest corner of it.

4. Post employee-generated content

Your best proof isn't your marketing. It's your people. Real stories, real faces, real day-in-the-life moments. When your team tells the story, it lands differently than when the brand does. Give them the room to do it.

5. Respond to every review, thoughtfully

Especially the hard ones. A defensive reply tells future candidates exactly who you are. A thoughtful one that says “here's what we heard, here's what we changed” tells them something better. Read reviews as data, not attacks. The lesson is almost always in the pattern.

6. Survey your staff and your candidates

Your current employees are already writing the review in their heads, so ask them first. Anonymous, honest, regular. You'd rather find the gap in a survey you control than in a public post you don't.

Then go a step further and survey your candidates. That's the blind spot almost everyone misses. The person you didn't hire has an opinion about you, and they'll share it. Ask for their experience, offer a small gift card opportunity for a 3-minute survey, then listen. Rejected candidates who feel respected leave you better reviews than hired ones who felt ignored.

7. Find the gaps, then close them

All that feedback is worthless if it just sits in a spreadsheet. Where are the patterns? Onboarding? Management? Compensation? Communication? Pick the real problems, assign owners, and fix what the reviews keep telling you. The rating follows the reality, not the other way around.

8. Design for AI discoverability (or keep losing candidates you never see)

Here’s what almost no one is accounting for yet. AI is the new front door for candidates. Before someone applies, they’re not just reading your Glassdoor page. They’re asking tools like ChatGPT, Perplexity, and Google’s AI Overviews “what’s it like to work at this company?” — and those answers are trained on the reviews and content you publish.

Your Glassdoor system is now part of your search strategy. Every review you earn becomes training data. If your page is stale, lopsided, or unmanaged, that’s the story AI tells on your behalf. If it’s fresh, specific, and balanced, it becomes a source worth citing.

Most leaders have no way to see whether their brand is even visible in AI answers, let alone how it’s being portrayed. Semrush solves that gap by acting as a search visibility platform that shows how your company appears across Google, AI Overviews, and LLM answers in one place.

With Semrush’s AI visibility capabilities, you can see:

  • Where your brand appears (or is missing) in AI answers via an AI Visibility Score from 0–100.
  • Which prompts and topics surface your company versus competitors, so you can align your review strategy and content around the questions candidates actually ask.
  • The sentiment AI uses when it talks about you — positive, neutral, or negative — and whether that matches what your Glassdoor feedback is telling you.

That matters because AI search visitors are already converting at 4.4x the rate of traditional organic traffic. When your employer reputation shows up accurately in AI answers, you’re not just protecting your brand — you’re improving who finds you and who chooses to apply.

Two ways to test this in 14 days:

---This Post is sponsored by Semrush, when you purchase through links in this article, I may earn an affiliate commission from Semrush.---

If you want to see AI visibility in action while you run this system, you don’t need to build it from scratch. You can start with one of these:

Semrush One Starter – 14‑day trial

For leaders who want the full AI + SEO view of how their brand appears across Google, AI Overviews, and LLM answers while they update their Glassdoor playbook.

→ Try the Semrush One 14‑Day Starter trial

Semrush SEO Toolkit Pro – 14‑day trial

For teams focused on fixing the owned assets behind their reputation — careers site, content, and technical SEO — while they run review campaigns in parallel.

→ Try the Semrush SEO Toolkit 14‑Day Pro trial

Step 8 isn’t about “adding a tool.” It’s about designing your reputation system for AI discoverability: one rhythm for earning better reviews, and one source of truth for how those reviews show up wherever candidates search. Semrush gives you the visibility; your Glassdoor system gives you the substance worth being visible.

9. Plan for it instead of reacting

This is the one that separates the companies that fix it from the companies that talk about fixing it. Reputation is not a project. It's a rhythm. Plan for it the way you'd plan any part of the business: put it on the calendar, monthly at a minimum. Discipline is the strategy.

10. Build the tool stack that makes this run with minimal friction

Every step above dies if it depends on someone remembering to do it manually. Ask yourself the honest question: do you have the systems to actually sustain this? Candidate surveys should fire automatically after every interview. Review requests should be built into onboarding and milestones. Feedback should route to owners without a spreadsheet babysitter.

The right tool stack turns this list from a quarterly scramble into a machine that runs whether you're watching or not. Semrush One can sit in the middle of that stack — monitoring your search and AI visibility while your recruiters, managers, and HR teams run the human side of the system. When you pair automation with accountability, your Glassdoor rating has nowhere to go but up.

The bottom line

You don't fix a Glassdoor rating with a band‑aid. You fix it by building the system that leads to a higher rating from both humans and the AI summarizing it.

Start with number 1. Give it an owner. Everything else follows from there.

Frequently asked questions

How long does it take to improve a Glassdoor rating?
Expect meaningful movement over one to two quarters of consistent effort. A single campaign creates a short-term bump; a repeatable quarterly system creates a durable climb.
Can you remove negative Glassdoor reviews?
Only reviews that violate Glassdoor's community guidelines can be reported for removal: fake accounts, personal attacks, or confidential information. Report those, not first but as a safeguard, and always know the rules, document the violation, and flag it through the right channel. You cannot remove honest feedback you disagree with, and trying to is the wrong strategy anyway. Fight the fakes, not the feedback.
Why does my Glassdoor rating matter for AI and candidate discovery?
Candidates increasingly ask AI tools like ChatGPT and Perplexity what it's like to work at a company before they apply. Those tools pull from public review sources, so your Glassdoor content directly shapes what candidates hear about you before they ever reach your careers page. A disciplined Glassdoor system gives AI better data to work with. Tools like Semrush's AI visibility features then show you how often your brand appears in those answers, what sentiment they carry, and where competitors are getting cited instead. When you can see and shape both sides — the reviews and the AI summaries — you stop losing candidates you never knew were considering you.
How often should we ask employees for reviews?
Build it into a quarterly rhythm at minimum, or monthly if you hire at volume. Consistency matters more than intensity.

If a weak Glassdoor rating is quietly costing you candidates, send me a message and I can show you where the gaps are.

Is a Weak Glassdoor Rating Costing You Candidates?

Send me your company and I'll show you where your employer reputation and AI visibility gaps are — what candidates and AI answers are seeing before they ever reach your careers page.

Your details go straight to Susan.