CiteRank delivers a first-month baseline: which buyer questions make AI recommend competitors, which sources support those answers, and what you should fix first. Keep the subscription active for weekly rechecks after the first handoff.
$99 starts the first-month baseline. Cancel after the first month or keep weekly rechecks active. $199 growth plan, $499-$999/mo, and $2,999+/mo options are upgrade paths after the baseline proves the gap.
Website facts, ICP, product use cases, pricing, and proof points become the scan context.
ChatGPT and Perplexity recommend Meshy before you.
Competitors appear on neutral directories you do not own yet.
Your highest-intent page needs a direct answer and schema.
The $99 baseline is not a generic GEO explanation. It starts by naming the problem state, then delivers buyer questions, AI-answer evidence, competitor sources, and next actions.
Do not ask whether the site needs more promotion. Ask whether someone would pay for the specific deliverable, and what blocks the purchase if they would not.
I am testing a product called CiteRank. The first paid offer is a $99 AI Search Visibility Baseline, not a generic SEO dashboard. Within 48-72 hours it would test 20-30 buyer-intent AI prompts, show whether ChatGPT, Perplexity, Claude, or Gemini recommend my brand or competitors, list the cited sources behind those answers, identify missing source and page gaps, and give me the first 5-10 fixes to try. If you were the target customer, would you pay $99 for that first baseline? If not, is the blocker unclear value, weak proof, price, timing, or the wrong buyer?
We test buyer questions and record whether your brand, your competitors, or nobody relevant appears.
The report separates content gaps, citation gaps, entity clarity, and source coverage instead of dumping raw scans.
The first report becomes a prioritized list of work: owned pages, comparison assets, source targets, evidence, and recheck timing.
Serious GEO products do not stop at a score. They organize brand facts, buyer questions, content, cited sources, evidence, and weekly checks into one simple loop. CiteRank starts with the first report, then turns the same data into weekly next steps.
Lock the product facts, ICP, use cases, pricing, proof, and competitors so AI-facing content stays consistent.
Group the questions real buyers ask AI by category, use case, comparison, and purchase objection.
Turn broad GEO into concrete workstreams: owned pages, comparison pages, citation sources, and content briefs.
Create or improve the assets that AI systems can understand, cite, and use when forming recommendations.
Record each shipped URL, submission, source mention, follow-up date, and proof so the work can be audited.
Run the same question set again on a weekly cycle to see whether recommendation rate, rank, and citations moved.
How often AI answers include the brand for target buyer intents.
Where the brand appears when AI returns a list of options.
Whether the model describes the brand positively, neutrally, or with caveats.
Which owned pages AI systems already cite, and which cited pages fail to convert.
This lightweight preview starts from your URL. The optional category or buyer question only helps us write a better first question; the paid baseline is the product: full buyer-question set, competitor evidence, source gaps, and a next-step list.
We use your URL as the anchor. The $99 baseline expands the preview into 20 buyer questions, 4 platforms, 3 competitors, evidence, and a prioritized next-step list.
A brand can have zero mentions in a controlled buyer-question set and still have real AI systems citing specific pages. CiteRank treats those as two different evidence lanes, then uses both to decide what to fix first.
We test fixed buyer questions across major AI platforms and compare your brand against competitors.
When available, we use Clarity or analytics evidence to see which real queries and pages are already being cited.
The audit flags cited pages with weak CTAs, unclear product paths, or missing paid-user attribution.
This can come from Microsoft Clarity AI Visibility, analytics exports, screenshots, or other citation evidence. It is optional for the first report, but it makes the next-step list sharper.
GEO is not “publish many posts and hope.” The audit identifies the pages AI systems should be able to quote, the missing answer-source pages, and the citation sources competitors already have.
Do priority pages answer the buyer question in the first screen with a clean, quotable paragraph?
Can an AI system quickly extract what the product accepts, what it produces, and which use cases it fits?
Do pages use FAQ, HowTo, SoftwareApplication, Article, comparison tables, and consistent product facts where useful?
Do pages explain when to choose the brand versus common competitors without making unsupported claims?
Are category, format, use-case, competitor, pricing, docs, and service pages linked in a way AI crawlers can follow?
Which third-party pages, directories, lists, reviews, or communities mention competitors but not the customer?
Cheap monitoring can tell you that a competitor appeared. CiteRank explains the likely reason, shows the evidence, and keeps telling your team what to fix first.
The $99 first month captures the domain, category, competitors, and buyer questions needed for the baseline.
We test 20-30 buyer questions across AI platforms and show who appears, who is cited, and why it likely happened.
You get 5-10 owned-page, citation-source, comparison, and recheck actions ranked by impact.
The baseline defines the fixed question set, then optional rechecks measure whether execution changed the answers.
The audit reads like a report, not a raw export. Each section connects a buyer question, an AI answer, a competitor/source pattern, and the action we recommend.
The website is the anchor. We use the domain to understand the brand, inspect answer-source readiness, and connect buyer-question evidence to actual pages. Category and competitor inputs help us avoid generic keyword lists.
We start from your domain, then infer the brand and crawlable answer-source pages.
We turn the category and any supplied buyer question into a fixed question set.
We test ChatGPT, Perplexity, Claude, and Gemini and capture raw answer evidence.
We extract competitors, placements, cited URLs, and likely reasons they appear.
We rank owned-page, source-gap, citation, and recheck actions for the next 30 days.
Your team needs to know why AI answers favor competitors, which pages or sources are missing, and which actions should move this week.
This is intentionally narrow. The deliverable is a decision document your team can read, forward, and act on immediately.
The exact buyer questions tested, grouped by use case and purchase intent.
Brand vs. competitors across each platform, with the winners made obvious.
Screenshots or raw answer excerpts tied to the buyer questions and test date.
5-10 content, citation, and weekly recheck actions ranked by effort and impact.
This is not a standalone dashboard screenshot. The first handoff connects buyer questions, AI answers, competitors, cited sources, and priority actions in one readable report.
20-30 prompts grouped by category, use case, comparison, and purchase objection.
Which brands appear in AI answers, where they rank, and which sources support them.
Owned pages, directories, reviews, docs, and third-party pages AI systems can use.
5-10 fixes ranked by impact, effort, owner, and evidence needed for recheck.
The $99 first month delivers the initial AI visibility baseline. The $199 growth plan adds deeper evidence and weekly action review. Managed and enterprise plans are for customers who want us to help with content, source, and recheck delivery.
The first month delivers a baseline in 48-72 hours. Keep it active only if you want weekly rechecks and cited-source updates.
Order $99 baselineThe stronger monthly plan for teams that want deeper evidence, source strategy, weekly action review, and faster support.
Ask about $199 growth planFor customers who want us to prepare page briefs, source targets, outreach drafts, evidence records, and weekly reports.
Apply for managed GEOFor agencies, white-label teams, and companies that need multiple websites, buyer-question libraries, and executive reporting.
Discuss enterprise GEOCheckout starts a first-month baseline with an optional recurring recheck loop. Month one delivers the visibility report, evidence, and next steps; future weeks keep rechecks and the cited-source list moving.
Brand, website, category, competitors, and any buyer questions you already care about.
Stripe starts the selected package and records the order context.
We test buyer questions, inspect competitor patterns, and separate source gaps from page gaps.
You receive the baseline report and prioritized GEO actions by email within 48-72 hours.
After month one, the subscription can continue as the AI Search Visibility recheck loop: weekly rechecks, cited-source updates, and action progress reporting.
Many teams do not need a vague GEO pitch. They need one buyer question checked. Send your website, the question, and the competitors you keep seeing, and we can judge whether the CiteRank baseline fits.
No full brief required.
Scope from a real domain.
Buy, wait, or fix first.
Most teams can start with the $99 baseline or $199 growth plan to see where AI search skips them and what to fix next. Managed plans are for teams that want CiteRank to help prepare briefs, source targets, outreach drafts, and weekly evidence updates.