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Radix AI Review 2026

Tracks brand presence across ChatGPT, Perplexity, and Google AI Overviews with a built-in prompt research assistant and GSC integration.

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Key takeaways

  • Radix AI is a small, India-based GEO startup (reportedly a 2-person team per GetLatka) offering AI visibility tracking across ChatGPT, Perplexity, Gemini, and Google AI Overviews at a fraction of the price of most competitors.
  • It lacks the crawler logs, AI traffic attribution, content generation agents, and Reddit/YouTube citation tracking that Promptwatch offers. Radix tells you whether you were cited; it doesn't show why, what traffic resulted, or help you fix the gaps with automated content.
  • Its marketing site is currently unstable: go.tryradix.com redirects to a generic Gamma placeholder page, and www.tryradix.com throws a Framer "Site Not Found" error. That's a real red flag for anyone evaluating a paid subscription right now.
  • Pricing starts free (90 search executions) and tops out at $169/mo for 12,000 executions, making it one of the cheapest entry points in the category.
  • G2 reviews are positive (4.8/5) but the sample is tiny, just 6 reviews, so treat the rating as early-adopter noise rather than a verdict.

Radix AI is one of the newer entrants in the generative engine optimization space, built to answer a question that's suddenly on every marketer's mind: does ChatGPT, Perplexity, or Google's AI Overviews even know my brand exists, and if so, what is it saying? The product expands a target query into multiple prompt variants, runs them against live AI interfaces and APIs, and reports back on citations, sentiment, and competitor share of voice. It's pitched at digital marketers, SEO specialists, and smaller companies trying to get a foothold in AI search results without hiring an agency or buying an enterprise platform.

The company looks to be a very early-stage, founder-led operation. GetLatka pegs it at roughly $220K in revenue with a two-person team as of September 2026, and the founder, Siddharth Barpanda, posts product updates from his personal X account rather than a dedicated company handle with real traction. That context matters: Radix is not a venture-backed platform with a roadmap stretching years out. It's closer to an indie SaaS experiment that happens to work reasonably well for narrow use cases.

Key features

  • Visibility tracking across four major AI surfaces. Radix tests prompts against ChatGPT, Perplexity, Gemini, and Google AI Overviews/AI Mode, pulling both API responses and direct interface outputs so the data reflects what real users actually see, not just what a raw API call returns. Promptwatch does the same real-UI monitoring, but across ten-plus models including Claude, Grok, DeepSeek, Mistral, and Copilot, so Radix's model coverage is noticeably narrower.
  • Citation tracking. The tool shows which pages and domains get cited for a given prompt, which is the core of any AEO platform. It's a straightforward feature, well executed by most players in this space, including Radix.
  • Competitor benchmarking. You get visibility scores, share of voice, and citation momentum against named rivals. Useful for the "are we losing ground" conversation with leadership, though it's a monitoring metric rather than something actionable on its own.
  • Sentiment analytics. Radix tracks how positively or negatively AI models describe a brand over time. This is listed on its G2 profile, though SourceForge's roadmap still lists sentiment as "coming soon," which suggests the feature shipped recently and documentation hasn't caught up.
  • Citation Network Graph. A visualization of which channels, social posts, PR coverage, industry blogs, shape citations by topic. It's a nice way to see where your citation sources actually come from rather than just that they exist.
  • Radix Co-pilot and Radix MCP. The Pro tier includes a co-pilot feature, and the Lite tier includes MCP (Model Context Protocol) support, meaning the tool can presumably be queried by MCP-compatible AI agents. This is a forward-looking integration choice, though exactly what the co-pilot does in practice isn't well documented publicly.
  • Raw data export. You can export LLM output to Excel or custom reports, which matters for agencies that need to hand off deliverables to clients who want spreadsheets, not dashboards.
  • Location-based prompt testing. Radix tests queries from different regions to catch variation in how AI engines answer the same prompt in different markets, a detail competitors at this price point often skip.

What's conspicuously absent: there's no mention of AI crawler log monitoring (seeing when ChatGPTBot, ClaudeBot, or PerplexityBot actually hit your pages), no visitor analytics tying AI citations to real site traffic, no automated content generation or CMS publishing, and no Reddit or YouTube-specific citation tracking. Those are exactly the areas where Promptwatch has built out its stack, moving from "are we visible" to "here's the content that will make us visible, written and published for you."

Who is it for

Radix AI fits solo marketers, small SEO consultancies, and early-stage SaaS companies who want a cheap first look at AI search visibility before committing budget to a bigger platform. A freelance SEO consultant juggling three or four small clients, each wanting to know if their brand shows up when someone asks ChatGPT for recommendations in their niche, is a realistic buyer. So is a bootstrapped SaaS founder who wants to track one or two competitors without paying $245/mo for a Professional-tier GEO platform.

It's less suited to agencies managing 20+ client accounts, since the review base skews toward companies with 50 or fewer employees, and the execution limits (even on Pro, 12,000 search executions per month) get tight fast once you're running prompt variants across multiple clients and multiple AI engines. Enterprises with brand teams that need crawler-level diagnostics, content production workflows, or white-label client reporting should look elsewhere; Radix doesn't currently offer those.

Anyone evaluating Radix right now should also factor in the site instability. A tool whose own marketing domain redirects to a generic page-builder template isn't necessarily dead, but it's not the kind of signal that inspires confidence in a recurring software subscription.

Integrations and ecosystem

Radix AI supports MCP (Model Context Protocol) on its Lite tier and above, letting AI agents query the platform directly, a reasonably modern integration choice for a small team. Beyond that, public documentation on integrations is thin. There's no confirmed Google Search Console connection, no listed Slack app beyond support channels, and no public API documentation comparable to what larger GEO platforms publish. There's no GitHub repository, so it's closed-source, and no Discord community was found. The company has a LinkedIn page and the founder posts on X, but there's no evidence of a developer ecosystem or app marketplace around the product yet.

Pricing and value

Radix uses a straightforward three-tier model based on "search executions":

  • Free at $0/mo gives you 90 search executions, a visibility audit, and basic competitor analysis.
  • Lite at $49/mo bumps that to 2,700 executions and adds citation tracking, competitor monitoring, marketplace/community monitoring, Radix MCP, and Slack/email support.
  • Pro at $169/mo scales to 12,000 executions and adds Radix Co-pilot plus a strategy consultation.

That's genuinely cheap next to the category. Promptwatch's Essential tier starts at $95/mo for 6,000 responses, and its Professional tier runs $245/mo for 18,000 responses with crawler logs, automated content generation, and shopping insights bundled in. Radix's Pro tier at $169/mo for 12,000 executions sits in between on volume but without the crawler logs, content agents, or traffic attribution that come with Promptwatch's higher tiers. For a buyer who only cares about raw visibility numbers and nothing else, Radix is the better deal on price alone. For a buyer who wants to actually do something with the data, the price gap closes quickly once you add up what Radix doesn't include.

Strengths and limitations

Radix AI does a few things well for the money. The multi-engine coverage (ChatGPT, Perplexity, Gemini, Google AI Overviews) is solid for a budget tool, the location-based testing is a thoughtful touch most competitors at this price skip, and the free tier is genuinely usable for a first look rather than a crippled trial. The citation network graph is a nice visual layer that a lot of pure spreadsheet-style trackers don't bother building.

The limitations are significant once you compare it against the category leaders. Radix has no AI crawler log monitoring, so you can't see when ChatGPTBot or PerplexityBot actually visits your pages or hits an error. It has no visitor analytics, so there's no way to tie AI citations back to real traffic or conversions on your site. There's no content gap analysis, no automated content generation, and no CMS publishing, meaning once Radix tells you you're invisible for a prompt, you're on your own to fix it. It also skips Reddit and YouTube-specific citation tracking entirely, and there's no ChatGPT Shopping or Ads Radar equivalent. Model coverage stops at four engines versus the ten-plus that Promptwatch tracks, including Claude, Grok, DeepSeek, and Copilot.

Then there's the operational risk: a company this small, with a marketing site currently broken, and a G2 review count of six, is not a platform I'd bet a long-term content strategy on without a backup plan.

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Promptwatch

Track and optimize your brand's visibility in AI search engines
View more
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Bottom line

Radix AI works as a low-cost entry point if all you want is a rough read on whether your brand shows up in AI answers, and you're comfortable with a small, unproven vendor and some real site-stability concerns. If you need to understand why you're invisible, see the actual crawler traffic hitting your pages, track Reddit and YouTube citations, or have an agent write and publish optimized content for you, Promptwatch is the stronger option, built as a full monitoring-to-action stack rather than a visibility snapshot tool.

Best use case: a solo marketer or small consultancy running a quick, cheap sanity check on AI visibility before deciding whether to invest in a more complete GEO platform.

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Frequently asked questions

What is Radix AI?
Radix AI is a budget Generative Engine Optimization (GEO) tool that tracks how brands are mentioned and cited across ChatGPT, Perplexity, Gemini, and Google AI Overviews, aimed at small marketing teams and solo consultants.
How much does Radix AI cost?
Radix AI offers a free tier (90 search executions), a Lite plan at $49/mo (2,700 executions), and a Pro plan at $169/mo (12,000 executions plus a co-pilot feature and strategy consultation).
Is Radix AI a good alternative to Promptwatch?
Not really for teams that want to act on the data. Radix tracks citations and sentiment but has no AI crawler logs, content generation, traffic attribution, or Reddit/YouTube tracking, all of which Promptwatch includes as part of a full monitor-to-optimize workflow.
Is Radix AI reliable or stable as a company?
There are real concerns. Its marketing domains currently redirect to unrelated placeholder pages (a Gamma template and a Framer 404), and GetLatka reports a team of only two people, so buyers should factor in vendor risk before committing to a paid plan.
Who should use Radix AI?
Solo marketers, freelance SEO consultants, and early-stage SaaS founders who want a cheap first look at AI search visibility across a handful of prompts and competitors, rather than agencies or enterprises needing deep diagnostics or content automation.
Does Radix AI have a free plan?
Yes, it offers a free tier with 90 search executions per month that includes a visibility audit and basic competitor analysis.

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