Make ChatGPT Gemini Claude Perplexity Google AI Meta AI Grok DeepSeek
recommend your brand

Enter your domain and work email – that's it. FAIND reads your public pages and builds your baseline: where ChatGPT, Claude and Google AI Overviews mention, cite and recommend you today, and who wins the answers instead. No snippet, no CNAME, no account – those only come in if you deploy.

Any brand whose buyers ask AI what to choose – e-commerce, B2B services, SaaS, local category leaders. If your category gets compared, there are AI answers to win or lose. The audit shows exactly how much is at stake for you before you spend a euro.

The Knowledge Graph is one layer read by every engine – ChatGPT, Claude, Perplexity, Gemini, Copilot and whatever ships next. Your visibility is tracked monthly where buying decisions happen today: ChatGPT, Claude and Google AI Overviews.

Ranking and being recommended are different competitions. AI answers are assembled from what engines can retrieve as machine-readable fact – not from your blue-link position. The most common gap our audits surface: brands that rank well and still never appear in the answer. FAIND adds the AI layer without touching what already ranks.

Different job, so: both. Monitoring tools tell you where you stand; FAIND builds and maintains the asset that moves the numbers. Many teams run both – the monitor flags where to push, FAIND implements. And FAIND reports the same metrics (Share of Voice, mentions, citations, recommendations), so you can verify the lift in whichever dashboard you already trust.

The audit: zero. Deployment: a one-line snippet and a CNAME record – minutes of IT time, no migration, no redesign, no content briefs. FAIND generates the Knowledge Graph from content you already have. Your part is a DNS change, not a project.

Everything. When your source content changes, FAIND detects it, re-renders the affected Knowledge Graph pages and keeps them aligned with current retrieval best practices. No manual upkeep, no re-briefing an agency every quarter.

One of the most common reasons brands come to us. Engines repeat whatever they can retrieve – often stale third-party pages. The Knowledge Graph gives them a current, authoritative source for your facts and stays synced when your facts change. You can't force a model, but you can out-publish the sources it's been relying on – and the monthly rerun shows whether the correction sticks.

You could publish AI-friendly content – and your site should stay built for humans. The hard part is the system: retrieval-grade structure across every relevant topic, continuous sync with your real content, no SEO side effects, and per-engine measurement every month. That's what FAIND automates.

Your baseline is immediate – that's the audit. After deployment, engines need to re-crawl and re-ground; first movement typically shows in the first monthly reruns and compounds over the following months. We don't promise dates – we show the per-engine trendline and let it make the argument.

Pricing is per domain, billed monthly, and sized to your site – we scan your pages and quote one all-in price, no generic tiers or per-seat math (annual billing saves ~20%, cancel anytime). It lands far below a specialist GEO agency retainer that runs into thousands a month – closer to a fraction of a single content hire. The audit is free either way, and your results come with a concrete quote – so you decide with your own numbers on the table.

No – and be wary of anyone who promises that. Nobody controls the models. FAIND maximizes the likelihood (structure, grounding, freshness, coverage) and proves the movement in every monthly rerun. You see exactly what changed, per engine.

Two jobs: it detects when your content changes so the Knowledge Graph stays current, and it measures real AI-driven visits to your site. It adds nothing to your page load and collects aggregated, GDPR-aware signals – never form inputs, never personal data.