What you actually get from Reputation X
Reputation X is an online reputation management firm best known for its Wikipedia editing and creation service line, alongside search-result suppression and brand-reputation campaigns. Unlike most competitors it publishes a detailed public pricing page with named tiers, dollar figures, and a breakdown of how the retainer is allocated across audit, editing, and monitoring phases.
Reputation X pricing
Publishes real dollar tiers for Wikipedia editing and creation, $2,000 to $5,000/mo; broader suppression campaigns are custom quoted.
| Plan | Price | What it covers |
|---|---|---|
| Wikipedia Basic Edit | From $3,000/mo | Minor corrections to factual inaccuracies or biased language on an existing article, typically 1 to 3 months. |
| Wikipedia Comprehensive Edit | From $5,000/mo | Major restructuring of tone, sourcing, and content, includes a 45-day improvement guarantee and 90 days of post-edit monitoring. |
| Wikipedia Ongoing Management | From $2,000/mo | 24/7 vandalism monitoring, rapid reverts, and quarterly content updates, requires a completed editing package first. |
| Wikipedia Standard Creation | From $3,000/mo | Research, drafting, and publication of a new Wikipedia article for subjects meeting notability guidelines. |
Source: www.reputationx.com/pricing, read 2026-09-07.
Strengths
- Rare in the ORM industry, publishes actual dollar pricing with named tiers
- Deep specialization in Wikipedia editing and creation, a niche most ORM firms only dabble in
- States a 45-day improvement guarantee on comprehensive Wikipedia edits
- Publishes its own educational buyer's guide comparing competing ORM vendors
Weaknesses
- Wikipedia pricing is monthly, and complex articles can run many months so total spend adds up
- Broader suppression and search campaigns still require a custom quote off the public page
- Wikipedia edits must follow platform notability and neutrality rules, limiting what can be delivered
- The $2,000 to $5,000/mo floor is still out of reach for casual individual buyers
Best for
- Executives, founders, or brands needing a Wikipedia page created, corrected, or defended from vandalism
- Buyers who want to see real numbers before booking a call
Not ideal for
- Anyone without a genuine Wikipedia notability case
- Buyers needing only a single review or article removed, not a Wikipedia project
Reputation X is built for volume. Reputation damage is a tail-risk problem
Reputation X handles throughput well, and for the operational job of processing a lot of items consistently it is a sound choice. High-volume tooling is genuinely hard to build.
The mismatch is statistical. Volume tools optimise the average: more reviews, more mentions, more coverage, better aggregate numbers. Reputation risk does not live in the average. It lives in the tail, in the single post, the single article, the single thread that behaves differently from the other ten thousand. Optimising the mean is close to useless against a distribution where one observation carries most of the damage.
A summariser does not average a thousand data points. It reaches for the outlier.
This is why businesses with healthy dashboards still get blindsided. Aggregate health and tail exposure are close to independent. A system tuned to raise your average buries the one signal that mattered inside the noise it was built to produce. The tool was not wrong. It was answering a different question.
Where this lands in 2026
AI answers amplify the tail specifically. A model summarising a subject does not average a thousand data points into a fair picture. It picks the most quotable, most linked, most specific claim it can find, and that is the outlier. The one bad thing is exactly what a summariser reaches for.
That is why this review sits on the site of a firm that competes with Reputation X. The argument is not that Reputation X is a bad product. Its category was designed against a version of your problem that no longer describes the whole surface. The part it was never built to cover is the part growing fastest.
Most ORM agencies still sell 2015 suppression: build ten profiles, push the bad link to page two, invoice monthly. We run a measured Bayesian baseline first, then defend the AI answer layer that suppression never touches.
Key facts
- Publishes named-tier pricing for Wikipedia services, unusual for the ORM industry
- Runs an editorial blog comparing and ranking competing ORM firms
- Wikipedia packages include a stated 45-day improvement guarantee
Reputation X covers one lane. We cover the surface.
You get online reputation repair as one protocol inside a measured engagement, not as a standalone subscription. Your exposure is measured first against a Bayesian baseline, then the counter-strike work runs, then your surface stays monitored across search, review platforms, and the AI answer layer.
Sources checked
We read the vendor's own pages for every price on this review and record the date we read them. Where a figure comes from a third party we say so. Method: review methodology.