AI is answering for your buyers. You should know what it says.

RankSage measures how AI answer engines describe your brand, and joins that to the search and behaviour data you already have. It runs your prompts across ten answer engines — ChatGPT, Claude, Gemini, Perplexity, Grok and five more — plus Google AI Overviews, crawls your pages and your competitors', reads Google Analytics 4 and Search Console, and can capture first-party behaviour from your own site. Everything joins at the page, and comes out as one ranked list of what to change next.

No. RankSage reads Google Analytics 4 and Search Console over read-only OAuth and never writes to them. It is not a backlink tool, not a rank tracker sold on keyword volume, and not a publishing platform. To be precise about the writing side: RankSage does write — the blog writer produces research-grounded first drafts whose every citation is fetched and verified — but it is not a mass content generator and it never publishes to your site; a human editor always owns the final word. What it adds is the join: the same page seen through traffic, rankings, content structure, competitor coverage, visitor behaviour and AI citations at once.

You write the prompts your buyers would ask. RankSage runs them on a schedule against ten answer engines — plus Google AI Overviews, read from live result pages — and stores the full answer text, the URLs cited, whether your brand was mentioned, and how it was characterised. Because the raw answers are kept, you can read what was said rather than trust a score, and because results vary between runs, citation rates are reported with a confidence range rather than as a single flattering number.

Ten engines. ChatGPT, Claude, Gemini, Perplexity and OpenAI Web Search ground their answers by searching before they write; DeepSeek, Grok, Qwen, Mistral and Meta AI answer from what the model already knows — and you need presence in both kinds. Google AI Overviews are captured separately from live result pages, including whether your domain appears in the AI Overview carousel for each tracked keyword. Free plans track three engines; every paid plan tracks all ten. If a provider is unavailable during a run, the affected engine is reported as unavailable — it is never silently dropped from the average.

Yes. AI engines tailor answers to who is asking, so RankSage can run your tracked prompts as defined buyer personas — a role, a region, a context — and compare each persona's citation rate against the neutral baseline. Persona answers are stored separately and never blend into your headline metrics, and a persona run that fails refunds its own credit.

Every source an engine cites in your stored runs is checked: does the page still resolve, and does it actually mention the brand? Each source gets a verdict — verified, cited without a mention, dead, or unverifiable. A source is only called dead when the failure is provable; a site that blocks automated readers is recorded as unverifiable, never accused. The cited-but-no-mention bucket doubles as a placement list: pages engines already trust where your brand is absent.

Google Analytics 4 and Search Console, both read-only. That is enough to run everything except the behavioural layer. Optionally you can add RankSage's own tracking script for first-party behaviour, connect WordPress, Vercel, PostHog, Amplitude or Mixpanel, and push work items out to Jira, Linear or Azure DevOps.

Signing in to Google takes about five minutes and needs no code on your site — the first crawl and audit begin straight away. First-party tracking is a separate, optional step: it needs a small snippet on your server or edge, or the WordPress plugin, because the script is served from your own domain rather than a third-party CDN.

Because the useful signal is the overlap. GA4 will tell you a page has a high bounce rate. RankSage records the rage clicks, dead clicks, abandoned forms and errors on that page, then puts them beside the page's content score. A page where visitors are visibly struggling and the content is thin is a different problem from a page that is merely unpopular, and only one of them is worth rewriting.

A user agent is a claim, so RankSage checks it. Each hit's address is resolved back against the DNS records the crawler's operator publishes, and the result is recorded as verified, rejected or unverifiable. Rejected hits — usually scanners wearing a GPTBot or ClaudeBot label — are kept and shown separately instead of inflating your totals. Where an operator publishes nothing to check against, the visit is marked unverifiable rather than counted.

A target keyword and word count, the H2 sections the page needs, the internal links from your own site that should point at it, the gaps where a competitor covers something you do not, and — the part most tools cannot give you — the sections of your existing content that can be reused rather than rewritten. Briefs are produced by an agent that reads your crawled pages and the competitor's side by side, so those recommendations come from real pages rather than from a keyword list. Where behavioural data exists for related pages, the frustration signals on them are attached too.

It writes a first draft, in two stages that are deliberately kept apart. First a research pass gathers sources and every URL is fetched to confirm it is live — dead links are dropped rather than cited. Then a separate writing pass drafts in your brand voice and may only cite what that research actually returned; invented URLs are stripped. The finished draft is checked for citation integrity, leftover placeholders and metadata length before it is marked ready, and it follows an explicit set of anti-AI-tell writing rules. It is a first draft for a writer, not something to publish unread, and RankSage never publishes to your site on its own.

Yes, and that is usually the higher-return move. RankSage scores each page for citability — how likely an answer engine is to extract and quote it — from structure, answer directness, trust signals and how human the writing reads. The optimizer then rewrites against your brand context, the keywords actually driving traffic to that page, and its own diagnostic scores, and every run is kept in an optimization history so you can see what changed and whether it worked.

Founding pricing is public: Free at $0, Starter at $49 per month, Growth at $99 per month, and Pro at $199 per month (billed in INR in India: ₹3,999 / ₹7,999 / ₹14,999), plus a metered add-on for daily AI-visibility refreshes. These prices are locked in for waitlist members — full plan details are at ranksage.com/pricing.

No. RankSage (ranksage.com) is a self-serve AI visibility and content intelligence software platform with monthly subscriptions from $0 to $199. We are not affiliated with RankSages, Rankscale (rankscale.ai), ranksage.space, RankSage.co, or any other business with a similar name, and we don't sell agency retainers or service packages.