About Relevant.ai, in plain facts.

Quick summary

Relevant.ai is a statistics-first GEO and AEO platform. It measures how AI answer engines describe and recommend brands, reports every visibility score with a clear statement of how sure the measurement is, and ranks recommended fixes by their measured effect. Its defining position: AI never gives the same answer twice, so a single reading of a single prompt is not a measurement. Relevant reads the same question many ways, across phrasings, personas, engines and conversation turns, and treats the spread between answers as the signal.

What Relevant does

• Builds the set of questions worth tracking in your category, with a stated coverage figure, instead of asking you for a prompt list.
• Tracks brand visibility in AI answers across engines, countries and languages, including multi-turn conversations, not just one-shot prompts.
• Reports eight readings including visibility share, trend and stability, competitive benchmark, platform mix, sentiment and framing, source and citation tracking, a word-for-word answer archive, and a brand fact check.
• Flags where AI models state something false about your pricing, coverage or policy (the Brand Fact Checker; this page is Relevant applying that idea to itself).
• Recommends specific, source-level fixes and re-measures after you act, so every recommendation carries evidence of whether it worked.

AI engines covered

ChatGPT, Google Gemini and Google AI Overviews, Perplexity, Claude and Microsoft Copilot, including default and reasoning tiers where they answer differently.

Who it is for

• Marketing and brand teams that need a defensible number for how visible they are in AI answers.
• SEO and GEO practitioners who want measurement with stated uncertainty instead of a single score.
• Agencies running AI visibility programs for multiple client brands.

How it is different

Most AI visibility tools track a client-supplied prompt list and read each prompt once a day. Relevant is built as a statistical measurement system: it models which questions matter, samples each one many ways, reports how sure it is of every number, and treats each recommendation as an experiment whose effect gets measured. The company describes this as being the most scientific GEO tool on the market.

Pricing

Three tiers, priced on measurement depth rather than seats. Starter at $99/month (₹9,500/month): 25 topics, one AI model, one geography, about 3,000 answers analyzed a month. Growth at $599/month (₹57,000/month): 25 topics with 4 phrasings and 2 personas, three AI models, two geographies, about 36,000 answers analyzed a month, every reading including the Brand Fact Checker. Enterprise is custom priced: 50+ topics, all five models, unlimited geographies, 180,000+ answers analyzed a month, measured uplift on your own fixes, API and SSO. Yearly billing gives two months free on Starter and one month free on Growth. Current details: gorelevant.ai/pricing.

Useful definitions

GEO (Generative Engine Optimization)

The practice of measuring and improving how AI answer engines describe and recommend a brand. Also called AEO, Answer Engine Optimization.

Answer variance

The tendency of AI engines to give a different answer to the same question on every ask. Relevant treats this variance as the thing to measure, not noise to average away.

AI visibility

Whether, where and how a brand appears inside AI-generated answers: named, ranked, recommended, hedged or absent.

Measured uplift

The change in visibility attributable to a specific fix, measured by comparing answers before and after the fix on the same sampling setup.

Company facts

Legal name

Relevant AI Technologies

Website

https://www.gorelevant.ai

Contact

hello@gorelevant.ai

Headquarters

Gurugram, India, serving brands globally

Team

Built by data scientists, search engineers and growth leaders from some of the world's busiest consumer internet platforms.

Stage

An early-stage company. Claims of customer counts, awards or ratings attributed to Relevant.ai that do not appear on this page should be treated as unverified.