Articles that read like
a source, not a summary.
Before any draft, Ranko pulls the top twenty ranking pages, the ten most recent Reddit and X conversations, and your live product data.
From three research sources to a defensible article in 4 steps
Ranko reads the top twenty ranking pages, the ten newest Reddit and X threads, and your live product data.
Search Consensus
Top 20 ranking pages read in full
Not the top three. Not snippets. Ranko reads the top twenty ranking pages in full, so the article captures the consensus across the leaders plus the variations the tail introduces, without diluting it.
- Top 20
- Read in Full
- Consensus & Variations
- Current, Not Cached
Real Conversations
10 most recent Reddit and X conversations
Search results capture published consensus but miss what people say now. The ten newest Reddit threads and ten newest X conversations get pulled in for the lived experience: honest reviews, real frustrations.
- Reddit Threads
- X Conversations
- 10 Most Recent
- Lived Experience
Your Product Data
Your own live product data pulled in
The feature competitors cannot credibly write about is the one only your team knows. Your live product data, features, pricing, outcomes, integrations, feeds the research layer so the article is accurate.
- Feature Specifics
- Current Pricing
- Customer Outcomes
- Uniquely Yours
Facts Woven In
Real facts woven into every section
The research does not sit in a tab nobody opens. Facts get woven into the draft in the right paragraphs: a verifiable stat in the intro, a quote in context, a product detail in the advice. Every claim is traceable.
- Woven In Place
- Every Section Sourced
- Source Visible
- Editor Verifiable
Six reasons readers stop seeing through your AI content
Once every article is grounded in twenty ranking pages, ten recent conversations, and your product data, generic AI is out.
The facts are real, not invented
Generic AI's failure mode is the confident assertion that turns out wrong: a misattributed quote, a fabricated stat. Every Ranko claim is traceable.
The article reads like a source, not a summary
Generic AI reads like the top three results rephrased. Articles grounded in twenty pages, ten conversations, and product data read like a source.
Twenty pages beats one summary
Most tools that promise grounding pull a handful of sources, sometimes just a snippet. Twenty reflects real consensus, not whoever ranked first.
Reddit and X catch what search results miss
Search results miss real opinions and workarounds. Reddit and X reveal what the audience thinks, and articles grounded there sound attentive.
Your product data makes the article uniquely yours
Competitors can copy the search consensus and the same Reddit threads. They cannot be the source of your product. Live product data is your moat.
Every claim is traceable to a source
Every claim's source is visible in the draft view: which ranking page, which Reddit thread, which product row. The editor checks any point in a click.
11500+
Teams shipping AI content that holds up to professional scrutiny
Built for teams whose readers and editors can spot AI hallucinations from a mile away
Founders, content leads burned by fabricated stats, editors tired of fact checking, search specialists, agencies whose clients notice one invented quote, and SaaS growth teams all use Real Research Mixed In as their grounding layer.
Read
Conversations
Product data
Claim Sourced
20 pages, 10 conversations, live product data
The top twenty ranking pages get read in full for consensus and variations. The ten newest Reddit and X conversations bring lived opinions. Your product data adds what only you can write.
Everything the research layer ships with
A grounding toolkit: twenty ranking pages, ten recent Reddit and X conversations, live product data.
Top 20 Ranking Pages Read in Full
Not the top three. Not snippets. The full text of the top twenty ranking pages, so the article reflects current consensus.
10 Most Recent Reddit Threads
The ten newest Reddit threads get pulled in for the lived experience: honest reviews, workarounds, the questions readers ask.
10 Most Recent X Conversations
The ten newest X conversations get captured for the timely takes and emerging perspectives signaling where the topic moves next.
Live Product Data Integration
Your live product data, features, pricing, outcomes, integrations, feeds the research layer. The specificity no competitor can match.
Real Facts Woven Into the Draft
Facts get placed into the draft in the right paragraphs: stats in the intro, quotes in context, product details in the advice.
Source Visibility on Every Claim
Every claim is traceable in the draft view. Click any stat for the ranking page, any quote for the Reddit or X thread.
Everything you need to know
Common questions on why twenty pages and ten conversations, product data, verification, and sources.
Why 20 pages and 10 conversations specifically?
Because those are the numbers where research becomes credible without becoming noisy. Twenty ranking pages captures the genuine consensus across the leaders plus the variations the tail introduces, fewer inherits whatever a few top results say. Ten most recent conversations on each of Reddit and X is where the lived experience layer becomes representative: enough threads to spot patterns, recent enough to be current.
What does live product data actually cover?
How are facts verified before being woven in?
How does the team check the sources behind any claim?
What happens when sources disagree?
How is this different from generic AI search grounding?