Ninar AI vs Siftly — same category, different depth.
Both platforms track how AI engines talk about your brand. Ninar AI goes further: 10 engines, scan-to-scan learning that sharpens recommendations automatically, CMS publishing in one click, and pricing that starts at half the cost. Here's the full picture.
A Y Combinator-backed (W22) GEO platform founded in 2021 by two ex-enterprise engineers. It monitors AI brand mentions, generates GEO-optimized content, and offers managed citation outreach at higher tiers. They split their product into two tracks: one for B2B/services brands and one for DTC/e-commerce (product feed optimization). The platform positions itself as a done-for-you service at scale tiers, handling outreach negotiation and social distribution on your behalf.
What is Ninar AI?
Ninar AI is an AI Visibility Intelligence Platform that combines monitoring with execution. It scans 11 AI engines to measure your brand's visibility (scored 0-100), identifies where you're missing from AI recommendations, generates content optimized for AI citation, publishes it directly to your CMS via WordPress plugin or content API, and re-scans to verify the improvement actually landed. Ninar's scan-to-scan learning means each cycle sharpens the next round of recommendations without manual tuning. Self-serve pricing starts at $0/month with no credit card required.
Feature comparison
Capability
Ninar AI
Other platform
AI engines tracked
10 — ChatGPT, Gemini, Claude, Perplexity, AI Overviews, AI Mode, Meta AI, Copilot, Grok, DeepSeek
~5 — ChatGPT, Claude, Gemini, Perplexity, AI Overviews
Visibility scoring
0-100 index with per-engine breakdown, trend, and city-level drill-down
Brand + source visibility dual-metric tracking
Content generation
Built-in — AI-optimized, auto-published to CMS
GEO blogs with auto-publish (from Starter tier)
CMS publishing
WordPress plugin + content API for any CMS
Auto-publish (CMS details unspecified)
Closed-loop verify
Scan → generate → publish → re-scan with learning between cycles
Scan → generate (no documented re-verify loop)
Scan-to-scan learning
Automatic — recommendations sharpen each cycle
Not documented
Citation outreach
Not included
Managed — they negotiate on your behalf (Growth+ tier, $249/mo)
Social distribution
LinkedIn autopilot with posting windows + anti-slop rules
At equivalent capability, Ninar costs 50-66% less per tier.
Where they are genuinely strong
Credit where it's due:
Managed citation outreach — they handle the negotiations to get your brand cited in third-party content. For teams that don't have outreach capacity, this is a real service gap filled.
Social distribution breadth — six platforms (LinkedIn, YouTube, Instagram, Facebook, Quora, Reddit) from one dashboard at the Scale tier.
E-commerce specialization — a dedicated Shopping product for DTC brands wanting AI product recommendations is a niche neither Ninar nor most competitors serve today.
YC network — W22 batch gives them fundraising credibility and enterprise introductions that bootstrapped companies don't have by default.
Brand vs. source visibility split — distinguishing between "AI mentioned your name" and "AI cited your URL" is a useful mental model for measuring different types of presence.
Where Ninar fills the gaps they don't cover
Double the engine coverage — Ninar tracks 11 AI engines including Grok and DeepSeek. These matter because AI-native audiences use multiple engines, and visibility gaps in one don't predict another.
Scan-to-scan learning — Ninar's ScoreHistory and GEODiscoveredBrand systems automatically refine recommendations each cycle. You don't manually re-configure after every scan.
Closed-loop verification — after publishing, Ninar re-scans to confirm the improvement registered in AI answers. You know it worked, not just that you published.
Half the entry price — Ninar Starter at $39/mo vs. their $79/mo. Ninar Pro at $79/mo delivers daily scans with 4 engines, comparable to their $249/mo Growth tier.
WordPress plugin + content API — one-click CMS publishing that works with any HTTP-capable CMS, not just auto-publish to an unspecified target.
MCP server integration — run AI visibility scans inside Claude Desktop, Cursor, or Cline. First AI visibility tool that lives inside developer and AI workflows natively.
120+ city local visibility — AI answers vary by geography. Ninar shows where you're visible at the city level across 9 countries.
LinkedIn autopilot with anti-slop content rules — automated posting within per-user time windows, with explicit rules preventing AI-sounding output.
The managed-services tradeoff
Their pitch at Growth ($249) and Scale ($599) tiers is: "we do it for you." Citation outreach, social distribution, content publishing — all handled by their team. That model suits companies that want a vendor, not a tool.
Ninar's model is self-serve with automation. You own the process, the platform does the work, and you verify results. No waiting for someone else to run your outreach. No monthly call to approve social posts. For teams that want control and speed, self-serve wins. For teams that want to offload entirely, managed services win.
The price of managed: $249-$599/month. The price of Ninar doing most of the same work automatically: $39-$149/month.
Who should choose which
Their platform may fit if:
You want managed citation outreach handled for you
You need social distribution across 6+ platforms
You're a DTC/e-commerce brand wanting AI product recommendations
You prefer a done-for-you vendor over a self-serve tool
YC backing matters for your procurement process
Ninar AI is the better fit if:
You want 10 engines tracked, not 5
You want self-serve pricing starting at $39/mo
You need closed-loop verification that content changes actually improved visibility
You want scan-to-scan learning that sharpens without manual tuning
You publish to WordPress or need a content API
You want MCP integration for developer workflows
You need city-level local visibility across 120+ cities
You want control over execution, not a managed service
The honest framing: They built a solid GEO monitoring platform with managed services bolted on at higher tiers. Ninar built a self-serve platform that does the monitoring, the content generation, the CMS publishing, and the verification automatically — at half the price. If you want someone else to handle your AI visibility, they offer that. If you want to own the process and see results faster, Ninar was built for that.
Frequently asked questions
What is the difference between Ninar AI and this platform?
Both monitor AI visibility across engines like ChatGPT, Gemini, and Perplexity. Ninar AI covers 10 engines (including Grok and DeepSeek), offers scan-to-scan learning that improves recommendations automatically, publishes content to your CMS via WordPress plugin or API, and provides MCP integration for developer tools. The other platform offers managed citation outreach and social distribution as add-on services at higher tiers ($249-$599/mo).
How does Ninar AI pricing compare?
Ninar AI starts at $0/month (Free plan, 2 engines) with paid plans from $39/month. The other platform starts at $79/month. Ninar's Pro plan at $79/month includes daily scans and 4 engines — comparable to their $249/month Growth tier. At equivalent capability, Ninar costs 50-66% less.
Does Ninar AI have a free plan?
Yes. Ninar AI offers a Free plan at $0/month covering 2 AI engines (AI Overviews and ChatGPT), 1 scan per month, and 50 probes. No credit card required. Paid plans start at $39/month.
Which platform tracks more AI engines?
Ninar AI tracks 11 AI engines: ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, Google AI Mode, Meta AI, Microsoft Copilot, Grok, and DeepSeek. The other platform tracks approximately 5 engines: ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews.
Does the other platform offer citation outreach?
Yes, at their Growth tier ($249/mo) and above. They handle negotiation with publishers to get your brand cited in third-party content. Ninar AI does not currently offer managed outreach — it focuses on generating and publishing your own content optimized for AI citation, then verifying the results.
Try Ninar in 60 seconds
Run a free AI visibility audit on your brand right now. No credit card, no demo call — see whether ChatGPT, Gemini, Perplexity, and AI Overviews mention you when customers ask for recommendations in your category.
Comparison reflects publicly available information as of August 2026. Competitor features sourced from their marketing pages and Y Combinator profile. If anything here is out of date, email hello@ninar.ai and we'll correct it.