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When an AI Overview appears, first-position click-through can fall by as much as 61% (Seer Interactive). See which of your pages are exposed.

Every signal, one row: the page. Then what to fix next.

Your SEO tools tell you what happened.RankSage tells you what to fix next.

Search demand, AI answers, content quality, competitors, technical health and visitor behaviour, joined on one row: the page. Out comes a ranked list of what to change, with the evidence behind each item.

Reads the stack you already run. Measures ten answer engines, Google AI Overviews, your pages and your competitors' on its own. Visitor behaviour is optional and adds one 5 KB script served from your own domain.

See how it works

Your search and traffic accounts connect read-only in about five minutes, with no code on your site. Visitor behaviour is optional and adds one 5 KB script served from your own domain.

THE PROBLEM

Traffic is grouped by channel. Rankings by query. Behaviour by session. Audits by issue. AI mentions by prompt. Each tool is right about its own column, and none of them is the page.

THE PROBLEM

You already have the data. None of it agrees on the row.

  • Grouped by query

    What people search for

  • Grouped by keyword

    Where you rank

  • Grouped by prompt

    What AI answers say about you

  • Grouped by session

    What visitors do after they arrive

  • Grouped by domain

    What competitors cover that you do not

  • Grouped by issue

    What a crawler can and cannot read

Six answers. Zero decisions.

HOW IT IS DIFFERENT

One page. Every signal. One decision.

A ranking drop looks like an SEO problem. A page nobody scrolls looks like a design problem. A missing citation looks like an AI problem. On the same URL they are usually one problem. RankSage puts them on one row so you can tell.

/pricing-guide

Sample data

Search

Position 4

1,900 impressions a month

AI answers

Cited 0 of 10

Competitor cited by 7

Content

Score 61

No comparison section

Competitors

+34% coverage

On this topic

Visitors

Frustration high

42% scroll depth

Technical

Schema incomplete

Product entity missing

Ranks. Not cited. Loses the reader. One page, one fix list.

  1. 1Add the comparison section competitors cover
  2. 2Answer the question under its own heading, in the first 300 characters
  3. 3Complete the Product schema
  4. 4Re-measure citations and scroll depth in 28 days
IN PRACTICE

Six questions, answered from the same row.

Each one needs two sources joined at the page. Sample data; real columns.

WHAT IT COVERS

What can you see with RankSage?

Six groups, one row. Pick one to see what it looks like and which parts of the product do it.

01 · Share of voice
discovery

See how you are found — in search and in AI answers.

Your prompts run against ten answer engines and Google AI Overviews on a schedule; your keywords against live result pages. Every answer is kept, every rate ships as a range.

  • Share of voice
  • Buyer personas
  • Prompt intelligence
  • AI Overview & carousel presence
  • Zero-search discovery
  • SERP presence
  • Striking-distance queries
  • Cannibalisation
HOW IT WORKS

Connect what you have. RankSage measures the rest.

Your search and traffic accounts are read-only and take about five minutes; answer-engine runs, crawling and competitor tracking need nothing connected. Visitor behaviour is the one optional install: a 5 KB script on your own domain.

CONNECT
  • Google Analytics 4
  • Search Console
  • On-site scriptoptional
  • WordPress · Vercel · PostHogoptional

Read-only OAuth

About five minutes. The first audit starts on its own either way.

COLLECT
  • Your pages crawledcontent, headings, schema
  • Prompts run10 engines, answer text kept
  • SERPs capturedAI Overview, snippets, carousel
  • Competitors crawledsame topics, same scoring

Evidence store

Evidence first. Scores are derived from it, never asserted.

ACT
Action queue
  • 1Fix next
  • 2Content briefs
  • 3Frustration alerts
  • 4Weekly digest

Every item can be traced back to the check that raised it, and forward to what it changed.

Bring in what you already have

Sign in to your search and traffic accounts, read-only, with no code on your site for this step. Skip it and RankSage still crawls, still asks the answer engines, still watches your competitors.

The 5KB on-site tracking script and your CMS are a second step, whenever you want them. The logos are what it can read, not what it needs.

RankSage goes and looks

It crawls your pages and your competitors', asks ten answer engines your prompts, and records what each result-page actually looked like on the day it was captured.

One queue, not five dashboards

Signals join at the page, and the result is a ranked list of what to fix next — each item carrying the evidence that put it there, a route into your tracker, and a re-measurement after you act.

INTEGRATIONS

Works with the stack you already run. It does not depend on it.

Bring in search, traffic, product analytics, CMS and repository data when you want the join to see more. What RankSage measures itself — ten answer engines, Google AI Overviews, your pages and your competitors' pages — needs nothing connected; visitor behaviour adds one optional 5 KB script on your own domain.

DeepSeek
Grok
Qwen
Mistral
Meta AI
ChatGPT
Claude
Gemini
Perplexity
Google AI Overviews

Measures on its own

/your-page

Ten engines and your competitors, measured here.

Brings in

  • Google Analytics 4
  • Google Search Console
  • PostHog
  • Amplitude
  • Mixpanel
  • Vercel Analytics
  • WordPress

Sends work to

  • Jira
  • Linear
  • Azure DevOps
  • Obsidian
  • Notion
  • Email digest

Or bring RankSage to your editor

The RankSage MCP server exposes your visibility, gap, queue and traffic data as read-only tools inside Claude, Claude Code and Cursor. Scoped tokens, nothing writable.

Coming soon

Hotjar, FullStory, Mouseflow, Intercom, ClickUp, Asana and monday.com are in progress.

BY THE NUMBERS

Built on numbers you can check.

None of these is a claim about results. Each is a property of how RankSage measures, and each one is enforced in code.

  • 10

    answer engines

    plus Google AI Overviews read from live result pages

  • 13

    connectable sources

    search, traffic, product analytics, CMS, repos, trackers

  • 5 KB

    on-site tracking script

    no dependencies, encrypted before it leaves the browser

  • 0

    sampled events

    every rage click, dead click and error is processed

  • 95%

    confidence ranges

    pooled over the trailing 28 days, never a single-run decimal

  • 17

    read-only MCP tools

    your data inside the assistant and editor you already use

THE PART NOBODY ADVERTISES

A number you cannot check is just a rumour.

Answer-engine tools are easy to build and hard to trust, because almost nothing they report can be independently verified by the person reading it. These two habits are how RankSage earns the benefit of the doubt.

How the numbers are made

Official APIs, every answer kept, ranges not decimals.

How the numbers are made
  • Answers come from official provider APIs, never a scraped, logged-in interface — reproducible, and no engine silently disappears when a scraper breaks.
  • Each prompt is asked of each engine one to three times per run; every answer is kept, with the model id that produced it.
  • Every rate ships as a 95% confidence range pooled over the trailing 28 days (at most eight runs). A single-run number is labelled directional.
  • Five of the ten engines search the web before they answer; five answer from memory. The label is stored per answer, never assumed per engine.
Read the full methodology
On-site capture

Every event. No sampling, anywhere.

A 5KB script with no dependencies, encrypted with AES-GCM before it leaves the browser. Rage clicks, dead clicks, abandoned forms, slow paints, script and network errors — each one is processed, not estimated from a sample.

One session, as recorded6 of 6 kept
  1. 0.0ssession start
  2. 3.2sscroll 50%
  3. 8.7srage click · pricing toggle
  4. 9.1sdead click · disabled button
  5. 14.6sform abandoned · step 2
  6. 22.0sexit
Crawler identity

A hit that says ClaudeBot might not be.

A user agent is a claim, not evidence. Every AI-crawler hit is checked back against the operator's own DNS records before it counts. Spoofed hits are kept and labelled rather than quietly folded into your totals.

AI crawler hits by verification verdict over the last 30 days.
Verified hits
412
Rejected claims
6813%
Verified412

Address resolves to the operator's published records

Rejected68

Claimed GPTBot, resolved to an unrelated host

Unverifiable24

Operator publishes no records to check against

Unverifiable is its own bucket on purpose. It is never counted as a confirmed visit, and never dropped either.

AND WHEN YOU ARE NOT SURE

When you do not know what to ask, ask.

Plain-language questions across visibility, search, content, competitors, behaviour and the queue — answered from your own connected data, every figure traceable to the query that produced it.

  • Fast answers for the simple questions, a deeper analysis pass for the hard ones
  • Charts that name the query behind every number
  • Remembers what you have already established, so the next question starts further along
  • Anything it finds can go straight into the ranked queue
Assistant
Answers built from your connected data, with sources namedSample data

Which pages lost clicks last month and why?

Tool calls

  • Search Console clicks, 28d vs prior1.1s
  • GA4 organic sessions0.7s
  • SERP layout changes1.4s

Four pages fell more than 15%. They split into two causes:

AI Overview appeared

/blog/aeo-guide and /blog/llms-txt kept their positions. Impressions held, clicks fell 31%.

Position lost

/pricing slipped from 3.1 to 7.4 on four commercial queries after a competitor published a comparison page.

SourcesSearch ConsoleGA4SERP snapshots

Two different problems that look identical in a traffic chart. Only one of them is fixed by writing more.

BUILT FOR

Teams that already do the work.

The join needs signal to work. If you are still publishing your first pages, RankSage is ahead of where you are.

SEO teams

One connected view of search, AI answers and page performance instead of five reports that disagree.

Content teams

What deserves to be written, what to fix first, and whether the change worked.

Growth leads and founders

Where you are winning, where a competitor is taking ground, and what deserves attention next.

Agencies and consultants

Audits that turn into an evidence-backed queue a client can actually execute.

NOT ANOTHER DASHBOARD

RankSage is not trying to replace your stack.

  • An analytics replacement — it reads yours, read-only, and never writes to it
  • A search-console replacement — same: read-only, never written to
  • A rank tracker sold on keyword volume
  • A backlink database or link-building tool
  • A mass content generator — it writes first drafts and never publishes to your site
  • An agency — self-serve software, monthly subscription, no retainers

It is

  • The layer that joins the signals those tools do not — on one row, the page
  • A ranked queue of what to fix, each item carrying the evidence that raised it
  • A check afterwards on whether the fix changed anything
FAQ

Questions? Answered.

Setup, sources, what the AI tracking actually measures, and what RankSage will not do.

RankSage joins every signal that decides whether a page gets found — search demand, AI answers, content quality, competitors, technical health and visitor behaviour — on one row, the page, and returns a ranked list of what to change next. It runs your prompts across ten answer engines and Google AI Overviews, crawls your pages and your competitors', reads your search and traffic accounts read-only, and can capture visitor behaviour from your own site.

Not to start. Answer-engine runs, crawling, competitor scoring, schema and readiness audits and visitor behaviour need nothing connected. The search-demand reports — striking distance, cannibalisation, answer blocks, drop investigation — read your search and traffic accounts, read-only, and those are the two connections worth making on day one.

Yes — and it joins that visibility data to the search and behaviour data you already have. RankSage records what ten answer engines and Google AI Overviews say about your brand, then puts that beside the same page's Search Console queries, GA4 traffic and visitor behaviour, so you can see which cited pages convert, which ranking pages are never cited, and which fix matters most. Standalone visibility trackers stop at the citation; RankSage starts there.

RankSage connects to Google Analytics 4, Google Search Console, PostHog, Amplitude, Mixpanel, Vercel, WordPress, GitHub, Jira, Linear, Azure DevOps, Obsidian and Notion, and exposes everything to any MCP-capable AI agent; the ten answer engines and on-site tracking are built in. Google Analytics 4 and Search Console are read-only over OAuth and are the only two needed on day one; Jira, Linear and Azure DevOps receive work items from the action queue; Obsidian receives the daily brief; the rest are optional reads.

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 visitor 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. On-site 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.

EARLY ACCESS

Know what changed. Know why. Know what to fix next.

Connect your site, or let RankSage start with what it can measure on its own. The first crawl, audit and answer-engine run begin by themselves.

See how it works

No payment details. One email when access opens.