One platform to run AI visibility for every brand you own.

AI visibility is now a category, not a feature

Two years ago "are we visible in AI?" was a curiosity. Now it's a budget line — because the way buyers find vendors is moving into the answer itself. Gartner projects traditional search engine volume will drop 25% by 2026 as AI chatbots and virtual agents absorb the queries that used to land on a results page. When the answer names three brands and stops, being on that short list is the new page one.

The money following this shift confirms it's a real category. Profound, a leader in the space, raised a $96M Series C at a $1B valuation in early 2026, serving 700+ enterprise customers — roughly 10% of the Fortune 500. The academic groundwork is real too: the GEO paper (KDD 2024) coined "generative engine optimization" and showed targeted methods can lift a brand's visibility in AI answers by up to 40%. The question is no longer whether to measure AI visibility — it's whether you measure it on a platform that scales past one site.

What an AI visibility platform actually does

A point tool answers "am I mentioned?" A platform connects four jobs so they reinforce each other — measurement, traffic, competition, and action — across every property you own.

1. Measure visibility across every engine

The same prompts fire at ChatGPT, Perplexity, Gemini and Claude on a schedule, scoring mention rate, citations, sentiment and share of voice against a fixed competitor roster. Tracking all four matters more than it sounds: research finds only about 11% of cited domains overlap between ChatGPT and Perplexity, so a brand can dominate one engine and be invisible on another. A single-engine tool will tell you you're winning when you're losing three-quarters of the field.

2. Capture the real AI traffic, not a guess

Most platforms stop at inference — they prompt the LLMs and scrape the answers. SourceWatch adds first-party traffic capture: the actual AI crawlers that hit each site and the actual referral clicks that arrive from AI, verified against published vendor IP ranges so a spoofed user-agent can't inflate your numbers. This is the data a prompt-scraper structurally cannot see, because it doesn't live in the model — it lives in your logs.

3. Watch the competition, per brand

For every brand on the platform you see who AI names instead of you, which sources it leans on, and where your citation gaps are — the concrete list of what to fix to move share of voice. Competitor monitoring is per-account, so an agency sees each client's race separately, not a blended average that hides the losses.

4. Act on it — in the dashboard or in your assistant

Because SourceWatch is MCP-native, the whole platform is readable from inside Claude Code: your assistant can pull a client's citation gaps and the real queries the models ran, and help you act on them in the same loop. That's the difference between a report you read and a system you operate.

The two things other platforms structurally can't do

Most of this category looks the same under the hood: fire synthetic prompts at the LLMs, scrape the answers, chart the trend. That's real and SourceWatch does it too. But two capabilities require being on your own infrastructure and shipping for agents — and almost no platform has both.

Moat 1 — First-party AI traffic, verified, not inferred

A prompt sample is an estimate of what a model might say. SourceWatch captures the ground truth instead: via a one-line snippet or a Cloudflare Worker on each site, it records the real AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended) that read your pages and the real visitors who clicked through from an AI answer — each one verified against the vendor's published IP ranges so spoofed bots don't count. Across a whole portfolio, that's the only honest way to compare "cited" against "actually sent traffic," site by site.

Moat 2 — MCP-native, at a self-serve price

MCP is the open standard Anthropic introduced in November 2024 and OpenAI and Google DeepMind both adopted in 2025 — the de-facto way AI assistants connect to tools. SourceWatch ships an MCP server, so the platform is operable from inside Claude Code, not just viewable in a browser. The only comparable agent stack in this category is enterprise-only, gated behind a separate platform subscription and a paid ChatGPT plan — a six-figure commitment. SourceWatch puts the same act-in-the-loop workflow on a self-serve plan.

Built for multi-site teams and agencies

The platform features only matter once you're past a single brand. This is where SourceWatch is designed to live: many sites, real client separation, and reporting your clients can open under your own logo.

• **Multi-site under one account** — pooled prompts across up to 10 sites on Agency, so you allocate coverage where each client needs it instead of buying a separate seat per brand.
• **White-label client reports** — branded, shareable reports a client opens under your name, not ours. The agency relationship stays yours.
• **Per-account isolation** — each client's prompts, competitors, traffic and tokens are scoped to their own account, so nothing bleeds across the wall.
• **Unlimited seats on every plan** — bring the whole team and every client contact without per-seat math.
• **MCP access included** — operate any client's account from your assistant, not just the dashboard.

Why the traffic is worth winning

AI visibility isn't a vanity metric — the traffic it sends converts unusually well. In a 2025 study, Seer Interactive found visitors arriving from ChatGPT converted at about 15.9%, versus roughly 1.76% for Google organic. The honest caveat: that's a high rate on a still-small absolute volume, so treat it as a high-intent channel that's growing fast, not a flood. A platform that captures the real AI-referral clicks per site is how you watch that channel mature with actual numbers instead of guesses.

That's also why first-party capture is the right instrument: a prompt-scraper can tell you that you were mentioned, but only your own analytics can tell you that the mention actually sent a buyer who converted. Tying citations to verified referral traffic, per brand, is the closest thing this category has to a real funnel — and it's the foundation the roadmap builds revenue attribution on next.

Pricing, in one glance

Flat plans priced on value, with cost caps that keep them honest — generous on weekly tracking (cheap), tight on the expensive levers (daily runs and Claude). Positioned at the top of medium: far below the enterprise leaders that run $2,000/mo and up on sales-gated annual contracts, above the budget scrapers. Every plan includes unlimited seats and a 14-day free trial, card optional.

**Add-ons** layer on without changing the base plan: Claude premium prompts ($80/site/mo), an extra Gemini engine on Starter (+$39/mo), and extra sites (+$39–49/mo each). Claude is held out of base tiers on purpose — it costs far more per check than the other engines, so bundling it everywhere would quietly wreck the economics rather than be a real inclusion. See full pricing for the detail.

Explore the platform

This page is the platform overview. Each capability has a page of its own:

• **AI visibility tracker** — the core: does AI mention and recommend a brand, across every engine.
• **AI traffic analytics** — the first-party moat: real AI crawlers and referral clicks, verified.
• **AI competitor monitoring** — who AI names instead of you, per brand.
• **AI share of voice** — your slice of mentions vs named competitors.
• **AI citation tracking** — which answers actually link to your pages.
• **ChatGPT brand monitoring** — how ChatGPT specifically describes and recommends you.
• **AI SEO for agencies** — white-label, multi-site, per-client reporting.
• **AI SEO services** — done-for-you, including agency white-label.
• **AI SEO API** — MCP-led access today; a REST API is on the roadmap.

Comparing platforms? See the best AI SEO tools roundup, or the head-to-heads with Semrush, Profound and Conductor.