AI search visibility,
measured and fixed.
Know exactly how ChatGPT, Perplexity, Gemini, Claude and Google AI Mode answer questions about your brand — and what to change to win those answers.
RankAIO is the AI search visibility surface of the Rankar suite: it scans real generated answers for your prompts, scores brand mentions, citations, competitors and sentiment, then turns the gaps into prioritized SEO actions your team can ship.
- Dashboard — coverage, share of voice, citations, sentiment
- Prompt research — the questions buyers actually ask
- Prompts & monitoring — visibility tracked over time
- Citations — the sources models quote
- Competitors — who gets recommended instead of you
- GEO audit — how a model reads your site
- Optimization — gaps become prioritized tasks
- Brand reports — per-engine reporting, exported
An AI SEO tool built for the answer layer.
RankAIO is an AI-powered SEO platform that measures how generative search engines describe, cite and recommend your website. Instead of tracking ten blue links, it reads the answer itself — the mentions, the sources, the competitors named beside you — and converts that intelligence into a ranked list of SEO fixes.
- Category
- AI search visibility & generative engine optimization
- Data source
- Live DataForSEO AI endpoints, parsed by Claude
- Coverage
- ChatGPT, Perplexity, Gemini, Claude, Google AI Mode
- Output
- Visibility scores, citation gaps, prioritized SEO tasks
Blue links are no longer the answer.
Buyers now ask an assistant instead of scanning ten results. If the model does not mention you, cite your domain, or describes you incorrectly, you lose the deal before a click ever exists. Classic rank trackers cannot see inside generated answers — RankAIO can.
You are invisible and cannot prove it
Analytics show zero AI-referred sessions, but never show which prompts you were left out of.
Competitors are being recommended
Someone gets named in the answer for your highest-intent prompts. Today that is guesswork.
Your content is not machine-quotable
Missing structure, entities, schema and citation-ready phrasing keep models from quoting you.
From AI search data to organic traffic growth.
Each capability answers a job SEO teams already own — measurement, diagnosis, and shipping the fix.
Find the questions buyers actually ask assistants.
AI prompt research expands your topics into real buying questions, labelled by intent and scored by opportunity, so your SEO analysis starts from demand instead of a keyword export. Promote any prompt into tracking in a click.
See prompt researchSee how your brand appears across AI search.
One dashboard scores brand coverage, share of voice, citation rate and sentiment for every tracked prompt, per engine, with period-over-period deltas. AI visibility stops being a guess you defend in a meeting and becomes a number you can move.
- Coverage, SOV, citation rate, sentiment
- Deltas vs the previous period
- Filter by engine, country and date
Learn which sources the models trust.
Citation intelligence ranks every domain answer engines link, shows the engine distribution behind each source, and marks the citation gaps where competitors are quoted and you are not — an outreach list ordered by impact.
- Cited-domain leaderboard
- Engine distribution per source
- Gap list ordered by impact
Know exactly who is recommended instead of you.
Competitor intelligence records answer-level wins: which rival was named, on which engine, for which prompt, and how large the opportunity is. That turns competitive SEO from a monthly report into a working queue.
- Answer-level competitor wins
- Share of voice by engine
- Opportunity size per prompt
Audit your site the way a model reads it.
The GEO audit checks AI crawler access, quotable content structure, entity clarity and query fan-out coverage. It is a website SEO analysis scoped to retrieval and citation, not 2015 crawl budget.
- AI crawler access checks
- Quotable structure and entity clarity
- Query fan-out coverage
Turn SEO data into actionable opportunities.
Claude converts every finding into a prioritized recommendation with an expected impact score, owner and status. Ship the fix, re-scan, and watch coverage and share of voice respond — SEO automation that ends in shipped work.
- Impact-scored recommendations
- Owner and status workflow
- Re-scan to verify the lift
The command center your AI search work actually runs in.
Real screens from the running product: KPI headers with period deltas, engine filters, visibility trends, citation tables, competitor wins and a recommendation queue with owners and status.
Tracked prompts where you are mentioned
Your weight vs every tracked competitor
Answers linking your domain as a source
How models describe you, per engine
- Engine, country, project and date-range filters on every view
- Period-over-period deltas on each KPI, not raw snapshots
- Visibility and share-of-voice trend charts per engine
- Citation tables with engine distribution behind each domain
- Competitor wins listed by prompt, engine and opportunity size
- Recommendation queue with impact score, priority, owner and status
- Activity log of every scan run, change and export
- CSV and PDF export from any module
Run your first AI visibility scan free.
Add a domain and your competitors — the first multi-engine report lands in minutes.
Eleven modules. One answer-layer command center.
Every module runs on the same live scan data, so a citation gap in one view is already a task in another.
Executive dashboard
Brand coverage, share of voice, citation rate, sentiment and tracked-prompt counts with period-over-period deltas.
- Visibility trend and share-of-voice charts
- Engine, country and date-range filters
- One-click AI visibility scan and GEO audit
AI prompt research
Discover the questions assistants actually get asked about your category before you commit tracking budget.
- Topic-to-prompt expansion with intent labels
- Opportunity scoring and volume signals
- Promote any prompt into tracking in one click
Prompts & monitoring
The merged tracking cockpit: every tracked prompt with its full change history across engines.
- Visibility, citation and competitor change feeds
- Deep links from any prompt row to its history
- Alerts when you drop out of an answer
Citation intelligence
See which sources models trust — yours, your competitors', and the third parties deciding your reputation.
- Winners, losers and citation gaps
- Engine distribution of every cited domain
- Outreach-ready opportunity list
Competitor intelligence
Answer-level competitive analysis: who gets named instead of you, on which engine, for which prompt.
- Competitor wins by prompt and engine
- Market-share of voice comparison
- High vs medium opportunity scoring
GEO audit
A technical and content audit built for machines, not crawlers of 2015.
- AI crawlability and bot-access checks
- Content checker for quotable structure
- Query fan-out coverage analysis
Optimization engine
Claude-generated recommendations, prioritized by expected visibility impact and tracked to completion.
- Content, citation and entity opportunities
- Impact score, priority and status workflow
- Task queue your team can actually work
Brand reports
Stakeholder-ready brand health: how AI talks about you, not just whether it mentions you.
- Sentiment KPIs, trend and engine breakdown
- Worst-performing prompts with evidence excerpts
- Negative mention quotes pulled from real answers
Reports & exports
Single-engine or full-suite reporting for clients and boards, exportable in seconds.
- Per-platform deep reports (e.g. ChatGPT only)
- CSV and PDF export across every module
- Period comparison built in
Scheduling & automation
Set the cadence once and let the platform keep your answer-layer data fresh.
- Daily or weekly automated scans
- Secured public cron endpoint
- Activity log of every run and change
Workspace & governance
Multi-project, multi-tenant foundations with strict row-level isolation.
- Projects, brand, competitors and engine config
- Team roles, integrations and API access
- Billing and usage in one place
From prompt to published fix in four steps.
Add your brand & market
Create a project with your domain, country, language and competitor set. Workspace, roles and RLS-isolated data are provisioned automatically.
Discover the prompts that matter
AI Prompt Research expands your topics into the real buying questions people ask assistants, scored by intent and opportunity.
Scan every engine in parallel
Live DataForSEO AI endpoints fan out across ChatGPT, Perplexity, Gemini, Claude and Google AI Mode. Every answer is parsed for mentions, citations, competitors and sentiment.
Ship the fixes, then re-scan
Claude turns findings into prioritized GEO tasks with impact scores. Mark them done, schedule the next scan, and watch share of voice move.
Data becomes a decision, then a shipped fix.
Most SEO tools stop at the chart. RankAIO carries a finding all the way to a task with an owner — and then measures whether shipping it moved your share of voice.
Discover
Expand your topics into the real questions buyers ask assistants, scored by intent and opportunity.
Analyse
Scan five engines in parallel and parse each answer for mentions, citations, competitors and sentiment.
Identify opportunities
Surface citation gaps, competitor wins, weak entities and prompts where you never appear.
Take action
Claude turns each gap into a prioritized recommendation with impact score, owner and status.
Track results
Re-scan on a schedule and compare periods to see whether coverage, citations and sentiment responded.
RankAIO is the answer-layer surface of the Rankar suite.
One workspace model, one design system, one data layer. RankAIO measures and fixes AI search visibility; the other surfaces run operations and reporting on the same projects — so nothing has to be re-imported, re-mapped or re-explained.
Rankar Suite
Shared projects, workspaces, roles and row-level security across every surface.
RankAIO
You are hereAI search visibility and generative engine optimization across five answer engines: prompt discovery, multi-engine scans, citations, competitors, GEO audit and prioritized fixes.
Use it to measure and improve how assistants describe, cite and recommend you.
You’re on this surfaceRankar Central
OperationsThe operator console for projects, scan scheduling, usage, team roles and workspace governance — the control room behind every scan RankAIO runs.
Use it to add projects, schedule recurring scans and manage team access.
OpenRankar Reports
ReportingPer-engine and full-suite client reporting, built from the same scan history, with CSV and PDF export for retainers and stakeholder updates.
Use it to turn a scan period into a report a client or executive can read.
OpenOne domain, market and competitor set reused by every surface.
One login, one workspace, role-based access across the suite.
Scan history, citations and competitors stored once, read everywhere.
Same navigation, tables and export behaviour on every surface.
Adopt one surface, add the rest when you need them — no migration, no duplicate project setup.
Six teams, one answer-layer workflow.
Every role below works from the same projects and scan history — only the questions they ask of it differ.
SEO agencies
Run every client as its own project inside one workspace, with separate domains, competitor sets and scan histories. Schedule scans per client, scope reports to a single engine, and export CSV or PDF for retainer reviews without rebuilding the deck.
In-house SEO teams
Keep AI visibility, citations and competitor movement in one place instead of three tabs. Coverage and share-of-voice deltas give leadership a number to track, and the optimization queue gives your team the work behind it.
SEO specialists & freelancers
Start on a free project, prove the gap with a real multi-engine scan, then work the prioritized recommendations one by one. No enterprise onboarding needed to get a defensible answer-layer audit out the door.
Affiliate marketers
Monitor which sites assistants recommend in your niche, see which sources they cite, and find the review and comparison prompts where a competitor is named and you are not — then target those pages first.
E-commerce teams
Track how assistants describe your category, products and brand against rivals, and audit whether product and buying-guide pages are structured so a model can quote and attribute them.
Brand, PR & product marketing
Watch sentiment per engine, read the real answer excerpts behind negative framing, and correct the record with sourced content and outreach to the domains models actually trust.
Stop stitching AI visibility together by hand.
The difference is not more dashboards — it is one project model that carries discovery, scanning, analysis, action and reporting end to end.
Stitched-together workflow
Manual- 01Prompts kept in a spreadsheet
- 02Answers copied manually, engine by engine
- 03Citations and competitors tracked by hand
- 04Findings summarized in a doc nobody works from
- 05Reporting rebuilt from scratch each month
Rankar suite workflow
Connected- 01Rankar Suite — one workspace, roles and data layer
- 02RankAIO — prompt discovery and multi-engine scans
- 03Connected modules — citations, competitors, GEO audit
- 04Optimization queue — prioritized fixes with owners
- 05Reports — per-engine or full-suite export in seconds
Same projects, same competitors, same scan history across every Rankar surface — nothing is re-imported or re-mapped.
Everything on the page is something the product actually does.
No invented customer counts, no stock testimonials. These are the guarantees the platform ships with today.
ChatGPT, Perplexity, Gemini, Claude and Google AI Mode scanned in parallel.
Every metric traces back to a stored answer from a real scan run.
Row-level security on every workspace, project and scan row.
CSV and PDF exports of answers, citations and recommendations.
Reserved for verified customer logos. Nothing is displayed until a customer approves it.
Reserved for named, verifiable customer quotes — we do not publish invented testimonials.
Rank trackers stop at the link. RankAIO reads the answer.
The same prompt, measured two ways. Only one of them tells you why you lost the recommendation.
| Classic rank tracker | Analytics / GA4 | RankAIO | |
|---|---|---|---|
| Sees inside generated AI answers | — | — | |
| Brand mention & share of voice per engine | — | — | |
| Which sources the model cited | — | — | |
| Competitors recommended instead of you | — | — | |
| Sentiment of how you are described | — | — | |
| Prioritized fixes with impact scores | — | — | |
| Works before any click exists | — | — | |
| Blue-link position tracking | — |
The metrics that replace rankings.
Share of tracked prompts where you are mentioned at all.
Your mention weight against every tracked competitor.
How often answers link your domain as a source.
How positively models describe you, per engine and prompt.
Where you appear inside the generated answer.
Prompts where competitors win and you are absent.
Live data, not scraped guesses.
DataForSEO AI endpoints
Dedicated AI-optimization endpoints per engine, fanned out in parallel for every tracked prompt.
Claude analysis layer
Claude Sonnet parses answers into mentions, entities, sentiment and prioritized GEO recommendations.
Isolated multi-tenancy
Every workspace, project and scan row is protected by row-level security and role-based access.
Scheduled + on-demand runs
Trigger a scan manually or let cron keep daily and weekly monitoring running without you.
Start free. Scale when the answers start moving.
Every plan includes all five engines and all eleven modules — plans differ by tracking volume and scan cadence.
Prove the gap before you spend anything.
- 1 project · 10 tracked prompts
- All 5 AI engines
- Manual scans
- CSV export
For teams running GEO as a weekly discipline.
- Unlimited projects · 250 prompts
- Daily scheduled scans
- Claude recommendations & task queue
- PDF + per-engine reports
Multi-client operations with governance.
- Unlimited prompts & competitors
- Team roles and API access
- White-labelled client reporting
- Priority support
AI SEO questions, answered.
What is RankAIO?
RankAIO is an AI SEO platform that measures your visibility inside generative search. It scans the answers ChatGPT, Perplexity, Gemini, Claude and Google AI Mode return for your tracked prompts, then reports where you are mentioned, cited, outranked or described badly — and what to fix first.
What is an AI SEO tool?
An AI SEO tool analyses search performance in AI-generated answers rather than only in blue-link results. It tracks brand mentions, cited sources and competitor recommendations inside answers, and uses AI to turn that analysis into concrete optimization work.
How does RankAIO analyse a website?
Two passes. The visibility scan runs your prompts through live AI engines and parses each answer for mentions, citations, competitors and sentiment. The GEO audit inspects your site for AI crawler access, quotable structure, entity clarity and query fan-out coverage.
What is AI search visibility?
AI search visibility is how often, how prominently and how favourably an AI assistant surfaces your brand when answering questions in your category. It replaces average position as the primary measure of search performance in generative engines.
How can AI improve SEO?
AI shortens the loop between data and action. RankAIO uses Claude to read hundreds of generated answers, cluster the patterns, and produce prioritized recommendations with expected impact — SEO automation applied to diagnosis, not content spam.
Which AI engines does RankAIO track?
ChatGPT, Perplexity, Gemini, Claude and Google AI Mode. Every tracked prompt is scanned across all five in parallel, so you can compare an answer engine by engine.
How is this different from a rank tracker?
Rank trackers measure links on a results page. RankAIO reads the generated answer itself: whether your brand is mentioned, which sources are cited, which competitors are recommended, and how positively you are described.
Where does the data come from?
Live DataForSEO AI-optimization endpoints supply the raw answers per engine, and Claude parses them into mentions, citations, entities, sentiment and recommendations. Nothing on your dashboard is simulated.
What is GEO, exactly?
Generative Engine Optimization is the practice of making your content easy for AI models to retrieve, quote and attribute. In practice that means quotable structure, clear entities, credible citations and strong third-party presence.
Can I get a report for just one platform?
Yes. Reports can be scoped to a single engine — a ChatGPT-only deep report, for example — or run across the full engine set for a combined view.
How quickly do I see results?
Your first scan returns visibility, citation and competitor data within minutes of adding a project. Movement in share of voice typically follows the first round of shipped recommendations.
Is my data isolated from other customers?
Yes. Workspaces, projects and every scan row are protected by row-level security, with role-based access inside each team.
How does RankAIO fit into the Rankar suite?
RankAIO is the AI search visibility surface. It shares projects, workspaces, roles and the underlying data layer with Rankar Central (operations, scheduling, governance) and Rankar Reports (client reporting and exports), so a project you create once is usable across every surface without re-importing anything.
Can agencies run multiple websites in one workspace?
Yes. Each workspace holds as many projects as your plan allows, every project keeps its own domain, market, competitor set and scan history, and reports can be scoped to a single project or a single engine for client delivery.
Who is RankAIO for?
In-house SEO and content teams proving AI visibility internally, agencies and consultants running multi-client retainers, and brand or PR teams monitoring how assistants describe them.
Find out what AI says about you today.
Add your domain, pick your competitors, and get a full multi-engine visibility snapshot on your first scan.