GEO

When people ask AI, is your brand still in the room?

Discovery is shifting from search results to generated answers. GEO helps you show up, get cited, and win recommendation — decide with evidence, prove with data.

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First principles

The front door of brand discovery has moved

People no longer only click ten blue links. They ask ChatGPT and similar models for recommendations. If you are absent from those answers, you are absent from a growing share of demand — and classic SEO alone cannot cover this surface.

Answers replace rankings

Users want a conclusion, not a SERP. Visibility now means being mentioned and cited inside the answer itself.

Guessing is expensive

Blind content spraying burns budget. You need to know which questions matter and whether you already appear before you invest.

What you cannot measure, you cannot improve

Without continuous readout of AI-side exposure, GEO becomes another unverifiable marketing story.

What you get

Four outcomes GEO is built for

Not a pile of tools — a closed loop from opportunity to evidence to action to proof.

Find the questions that matter

Surface the real queries people put to AI about your category — so you compete on demand that already exists.

Invest only where evidence points

Compare your brand vs competitors across models before publishing. Skip low-yield bets; double down where citation is open.

Produce content AI can trust

Turn validated keywords into multi-platform source material designed to be referenced — not just scrolled past.

Prove impact on the AI surface

Monitor exposure over time, diagnose brand health across platforms, and verify whether your URLs are actually cited.

Capabilities

The system behind the outcomes

Six capabilities that close the loop: discover, evaluate, publish, then measure.

Keyword ideation

Expand from a seed into the questions and search intents AI users actually ask — your map of demand on the generative surface.

Reveal high-intent questions around your brand and category
Shortlist terms worth evaluating or writing for
Feed downstream citation checks and content production

Open Keyword ideation

Citation evaluation

Ask real questions across models to see who gets mentioned and which sources are cited — so spend follows evidence, not hope.

Measure brand vs competitor exposure in live AI answers
Inspect which domains models trust today
Decide publish / wait / pivot before burning content budget

Open Citation evaluation

Content publishing

Convert validated opportunities into publishable multi-platform content — the source material generative engines can pick up.

Batch prompts around proven keywords
Generate platform-ready copy at scale
Keep a reusable prompt library for sustained GEO output

Open Content publishing

Scheduled monitoring

Keep watching the same questions after you publish — so you know whether AI-side exposure is actually moving.

Longitudinal tracking on priority keywords
Trend views that separate noise from real lift
Early signal when competitors start to overtake you

Open Scheduled monitoring

Brand diagnosis

Score your overall visibility across major AI platforms — a periodic health check for brand presence in generative answers.

One score for AI-side brand health
Breakdown by platform and keyword
Competitor benchmarks for where you lag

Open Brand diagnosis

Link check

Verify whether AI answers cite your published URL — the hardest proof that content was not only indexed, but trusted.

Confirm citation of a specific article or landing page
Cross-check across models with web access
Close the loop from publish → cited → measurable win

Open Link check

Subscription plans

Unlock the full loop: discover opportunities, evaluate citation odds, publish at scale, and measure AI-side impact.

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