Authoritas was building serious SEO software long before AI search had a name. It's a genuinely full suite, with big-data market share analytics sitting right next to the keyword research and rank tracking. Crawling, link tools and APIs come on top of that. These days the company positions it as a complete AI Search plus SEO visibility platform for brands, publishers and e-commerce. Nobody leaves Authoritas for lack of features, and this guide won't pretend they do.
The migration in this guide happens for a narrower reason. Your team mostly needs the loop that runs from AI visibility to action, you're paying for that loop in per-model credits, and most of the suite around it goes unopened. If that sounds like your account, read on for what to export, how the jobs map and who the switch really suits.
What you're actually switching
The Authoritas footprint is wide. Beyond keyword research, rankings and market share analytics, you get content strategy and optimization tooling with an AI writing assistant, and a technical crawler that checks Core Web Vitals. Backlink and outreach tools are in there too. Reporting plumbs into Data Studio and BigQuery, alongside real APIs and a Sheets plugin.
AI Search is priced as its own product line. It tracks visibility across AI surfaces with citation support and meters every check in credits that vary by model. (The site header, incidentally, now reads "a rezolve company.")
| AI Search models | Credits per query |
|---|---|
| Most models, including ChatGPT, Google AI Overviews and Google AI Mode | 1 |
| Flagship models | 2 |
| Search-grounded models (Enterprise plans) | Up to 5 |
RankControl swaps that shape for an operated loop at a flat fee. Each week we check 50 buyer queries across ChatGPT, Perplexity and Claude, plus Gemini, Grok and Google's AI surfaces. You get per-engine citation history and share of voice, and there's no credit arithmetic anywhere. A content engine plans from those tracked queries and publishes finished articles natively to your CMS, outreach gets drafted from your own mailbox, and competitor monitoring feeds the plan. Our plan is $400/month with everything included and a 7-day trial.
| Authoritas | RankControl | |
|---|---|---|
| Shape | Full SEO suite + AI tracker product | Flat-fee operated pipeline |
| AI checks | Credit-metered, cost varies by model | Unmetered, 50 queries weekly, 7 engines |
| Classic SEO depth | Keyword research, rank tracking, crawler, market share | Rankings on tracked queries only |
| Content | Briefs and AI writing assistance | Written, interlinked, and published for you |
| APIs | SERPs, platform, and content APIs | API and CLI included, same features as dashboard |
| Entry | Free start and demo | Self-serve trial |
The export list, while access lives
Do all of this while your login still works:
| Export | Why you want it |
|---|---|
| Keyword lists and rank history, as CSVs with wide date ranges | The distilled keywords become your tracked-query input, and the history is your before-picture |
| AI Search prompt sets, with response and citation history | The prompts map one-to-one onto a fixed weekly panel |
| Market share and visibility reports from stakeholder decks | They anchor the "before" in any later comparison |
| Open technical issues from the crawler | They need fixing regardless of tooling |
| Unexecuted content briefs | They go out to documents and straight into the new calendar |
| Anything your team pulls programmatically | Final runs before the keys die |
That last row is where Authoritas deserves plain praise. It ships real APIs, a Sheets plugin and BigQuery plumbing, and if your team wired those in, budget an hour to inventory what's connected before it quietly breaks on cancellation day.
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What maps, and what doesn't
Job by job, the mapping looks like this.
| If you used Authoritas for... | On RankControl |
|---|---|
| AI Search visibility tracking | Weekly per-engine checks, unmetered, citations logged |
| Keyword research and rank tracking | Not replaced at suite depth; query-level rankings only |
| Market share analytics | Competitor share of voice on tracked queries |
| Content briefs and AI assistance | The full pipeline: planned, written, published |
| Crawler and Core Web Vitals | Not replaced; keep a technical SEO tool if load-bearing |
| Link tools and outreach | Outreach agent from your mailbox, managed add-on |
Two things need more than a table cell. Classic-suite depth is the real trade: Authoritas does keyword research, rank tracking at scale and technical crawling that we don't replicate, so a team that leans on those every day needs a companion tool next to us. The other is model coverage. Their list includes surfaces like Bing's AI Overviews that our seven-engine panel doesn't check, so if per-model breadth matters for your reporting, count the columns you actually use before assuming either tool covers them.
The credit conversation
Most of the time, this switch starts with the meter. Billing visibility in credits puts a quiet tax on curiosity, because every extra prompt or rerun has a marginal cost, and teams respond by checking less and rationing the very monitoring that was the point.
We've made the full argument against metered and blended measurement elsewhere. For a migration, what matters is that a fixed panel on an unmetered weekly cadence turns visibility into an instrument you trust rather than a budget line you manage. Teams tell us the difference they notice after switching is being able to check without doing arithmetic first.
The flat fee doesn't always win the math, though. A team running a handful of prompts a month on cheap models might spend less under credits than $400 flat, and that team probably shouldn't switch for billing reasons alone. Where the flat fee comes out ahead is when you want the loop run for you, with the weekly cadence across seven engines, content shipped and links pursued, instead of a meter to sip from.
15 hours a week manually. Or 15 minutes with RankControl.
Track citations, monitor competitors, and fix content gaps across every AI search engine. Automatically.
Two instruments that meter time differently
The overlap month has one quirk that's specific to this migration: the two tools differ in when they check, and in what. Credit-metered checking tends to cluster, because teams spend credits when a report is due or a stakeholder asks, so the old data samples your calendar about as much as your visibility, with quiet weeks between the bursts.
A fixed weekly cadence samples evenly, and it catches the ordinary week-to-week churn that burst-checking steps over. Expect the new instrument to look noisier at first. That noise is real signal the old cadence never saw, the citation drift that was happening all along between your credit bursts, so read trends across four-week windows and don't judge the switch on the wobble in week two.
Budgeting the suite gap honestly
The rows marked "not replaced" need some companion-tool math before you decide. If you need keyword research and rank tracking at depth, a standalone tracker or a lean suite seat covers most mid-market needs at a two-figure monthly price. Technical crawling is simpler still if you only audit occasionally, since a dedicated crawler can replace that wing, and some are free at small-site scale.
Put either or both next to the flat fee and the combined bill still typically lands below a multi-product platform spend, with each tool doing one job you actually use. What you want to avoid is pretending the gap doesn't exist and finding out in month two that someone misses the crawler. So before you cancel anything, write down the two jobs the suite really did for you and price their replacements.
The cutover, step by step
Week one is setup. Run the export list and connect your CMS, then load the 50 queries you distilled from your keyword and prompt exports and seed your competitors. Let the first weekly checks land while Authoritas is still running, because leftover credits make a perfect two-instrument comparison window.
In week two, route the exported briefs into the content calendar and watch the first pipeline articles publish natively to your site. That same week, re-run your ten most commercial prompts by hand, signed out, and save the answers verbatim as the independent baseline no vendor holds.
Use weeks three and four to compare the two instruments on direction rather than absolutes, since their panels and cadences differ in the ways described above. If they flat-out contradict each other, investigate before trusting either. Then make the renewal decision with your history already exported. A month of parallel readings turns the leap into a step, and it's the same overlap discipline that works for every platform migration.
Who this switch is for
The clearest fit is a team whose Authoritas usage has shrunk to the AI tracker plus the occasional rank check. You're paying suite prices and managing credits for a slice of the product, and the slice you still use is the part RankControl runs every week without a meter.
It also fits teams whose real gap is execution rather than analysis. In RankControl the tracked queries feed a planner that puts titles on a calendar, and each article is written against the pages already ranking for its keyword, scored for how easily AI engines can quote it, and published natively to your CMS. Outreach drafts wait in your queue for approval, and the Monday check shows which of the seven engines picked up the new pages, alongside Google and Bing rankings.
The move itself takes an afternoon. Export while the login still works, load your distilled prompts as tracked queries, connect the CMS, and run the whole loop for one flat line item. After the first month, hold the citation rows up against your exported history and judge the switch on your own data. If you'd like a side-by-side look first, see RankControl vs Authoritas.
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