This page is the full methodology: how we check four models against your verified facts, how errors get corrected at the source, and why every number in your dashboard is a count you can audit, not a score you have to trust.
Give us your domain. We build the set of buying questions people actually ask about your category, your products, and your competitors.
ChatGPT, Gemini, Perplexity, and Claude, asked with live web search on, the way real buyers use them. Every week, with every change dated.
Nothing reaches you unverified, so your attention goes to real errors.
Our team corrects your pages, schema, product data, and the third-party sources models read. You approve everything before it moves.
Corrected answers are re-checked every week. You see the change, dated and logged, and you see when it has not held yet.
Monitoring is easy to do badly. These four pieces are what keep the output trustworthy.
Onboarding builds a verified fact sheet with you: prices, policies, availability, integrations, each with a source. Answers are judged against your documented facts, never against what an AI assumes is true.
Every collected answer gets one verdict: right, outdated, missing, or wrong, plus the verbatim quote that earned it. You never see a flag without the sentence that caused it.
Models answer with some randomness, so a verdict only changes after two consecutive scans agree. Your counts move when reality moves, not when a model has a jittery day.
Before any flag reaches your dashboard or your inbox, a person has looked at the answer, the quote, and the claimed violation. Machine scale, human judgment, in that order.
Most tools hand you a mystery number like 78 and call it a score. We don't, because nobody can say what a 78 means or why it beats a 74. Every headline number in Rightcited is a countable fraction of real answers.
"114 of 120 answers right." The denominator is how many answers we checked; the numerator is how many matched your truth file. When it moves, you can click through to the exact answers that changed.
"Recommended in 19 of 60 buying answers, next to your top competitor's 24." Not a share-of-voice index. A count of real recommendations, with the competitor's count sitting right beside yours.
Each flagged answer carries one estimate: how many buyers hear it monthly, from question volume times model usage. That's the only place weighting exists, and it's labeled as the estimate it is.
If a number can't be explained in one sentence with a numerator and a denominator, it doesn't go in your dashboard.
AI models move on their own schedule, so outcomes arrive on theirs. What your subscription buys is the work below, shipped every month and documented in your dashboard's work log, whether the models move fast or slow. Core includes the first six plus email support; Grow runs them at higher volume and adds the rest, scoped on a call.
Up to ten new or rewritten pages a month for your site, each built to answer a question your buyers actually ask the assistants (what you do, who it is for, how you compare, what it costs), written the way models read and cite, delivered ready to publish.
Your 50 most relevant buyer questions checked across ChatGPT, Claude, Gemini, and Perplexity every week, every answer archived, with the live dashboard, change alerts, and a dated work log of every action we take.
The verified fact base we correct against: your products, policies, pricing, and claims, built with you at intake and kept current, so every correction we file carries evidence.
When an assistant gets a fact about you wrong (a price, a feature, a policy, a claim), we trace it to the page it read and rewrite it: the corrected copy, structured data, or product details, handed to your team ready to paste. Every verified flag, every month.
The directories, list posts, review and comparison sites the assistants pull from when they build an answer: up to 20 written listing, inclusion and correction requests a month, each with an evidence pack attached and follow-ups on a set schedule until resolution or documented refusal, plus up to one secured placement a month where a source will not list you. More of both under a Grow program. Every thread logged.
A documented refusal shifts the work to displacement: an authoritative page on your own site built for the same question, and secured editorial placements where a stubborn source has to be replaced in the sources AI reads, counted inside the monthly placement.
Setting the record straight in the forum and Reddit threads models actually cite, where platform rules allow it, honestly and without astroturf.
A direct line to the team working your brand, plus a monthly proof call walking through what shipped and what moved. Core includes email support with one-business-day response.
Grow programs run the same work at higher volume and add the two above plus comparison-surface presence, scoped in your agreement. And the line we hold everywhere: nobody can force a model to change its answer. We sell the inputs models respond to, execute them relentlessly, and count the results in the open.
The dashboard is the proof surface: your Citation Score with its denominator, what moved this week and why, model-by-model counts, the fix queue waiting on your approval, and a dated log of every scan. Open the demo below; every widget is live.
Demo dashboard ยท the real interface. No signup, nothing to break.
Open the demo dashboardSwipe sideways to compare →
| Rightcited | Doing it yourself | A generic SEO retainer | Ignoring it | |
|---|---|---|---|---|
| Knows what AI tells your buyers | Every model, checked weekly | Whenever you think to ask | Usually not tracked | No |
| Understands why models answer that way | It's the entire job | Guesswork | Occasionally | No |
| Builds the pages and placements that get you cited | Up to ten pages and a secured placement a month, done for you | When you find the time | Blog posts aimed at Google | No |
| Gets errors corrected at the source | Done for you, every verified error | Nights and weekends | Broad scope, slow to aim here | No |
| Shows proof the answer changed | Re-checked until it sticks | More manual checking | Rarely in the report | No |
| Cost | $499/month, work included | Hours of your week | $2,000 to $10,000/month | Buyers, quietly, every month |
Or start smaller: the AI Page Check runs one page through all four models for $2.99.