Everything, answered.

Behar is the operating system for AI search. It runs four components in one loop. (1) Measure: tracks how every major LLM mentions your brand across buyer-intent queries, daily. (2) Diagnose: finds the specific content gaps causing AI to miss you or misposition you. (3) Generate: hands you the next article worth shipping — named, briefed, drafted, voice-locked to your site. (4) Re-measure: after you publish, Behar re-runs the affected prompts automatically and shows you the lift. Other tools sell you one of those four. Behar coordinates all of them.

All major AI models — ChatGPT, Claude, Perplexity, Gemini, DeepSeek, Grok, Google AI, and Copilot. We update model versions as providers release new generations and add new models when they reach meaningful market share. You can pick a subset if you only care about certain ones.

Daily by default during the closed beta — once every 24 hours at a consistent time in your workspace timezone. Cohort applicants can request a different cadence per project. Final pricing tiers and run frequencies will be published when public pricing returns post-launch.

Queries that real buyers in your category actually ask: ‘best [category] for [use case]’, ‘alternatives to [competitor]’, ‘[your brand] vs [competitor]’, ‘is [your brand] worth it’. We generate an initial set from your domain and let you add or remove any.

Yes — competitor tracking is core to the diagnose component. You’ll see each competitor’s presence, rank, and voice for every prompt you track. Cohort members get generous default limits during closed beta.

Base 40 for being mentioned, plus bonuses for position (up to +30 for #1, scaling 30/20/15/10/5 down to #5+), frequency (up to +20 for repeat mentions, +4 per extra mention), and sentiment (±10 for positive or negative framing). Capped at 100. Citations are tracked separately as a gap-analysis signal, not a score component. Full methodology is published — not hidden behind ‘proprietary.’ Go read the Methodology page for every number.

A specific query where AI either doesn’t mention you, misrepresents you, describes you with outdated info, or gives an incomplete picture. Each gap type triggers a different content response: new page, rewrite, update, expansion.

When a gap is detected, Content Engine auto-generates: (1) a content brief explaining why this gap exists and what should be in the piece, (2) a first draft written in your brand voice (trained on 5 sample pages you upload). Your team edits and publishes. Re-measurement happens automatically roughly six weeks after the page is live, so the loop closes itself.

No. SEO tools optimize for Google’s index. Behar optimizes for LLM synthesis. They’re related but not substitutable — most serious teams run both. We integrate with Google Search Console and major SEO platforms so you see both pictures.

You upload 3–5 URLs of pages that represent your brand’s tone. We analyze them for vocabulary, sentence structure, preferred phrases, forbidden phrases, length conventions. Every subsequent draft inherits these. You can re-train anytime.

Coming soon. We’ll be adding read-only OAuth connections to both so you can cross-reference AI visibility with traffic data. Not shipping at launch.

Yes. CSV exports for prompts, runs, and citations. REST API access (read + write) for cohort members during closed beta. Self-serve full-workspace data export (ZIP of everything) in Workspace Settings. Your data is yours — always.

Not yet. Slack alerts and slash commands are on the roadmap. Today, all alerts and notifications are surfaced in-app on your dashboard — no email, Slack, or webhook delivery yet.

Notion is on the roadmap. HubSpot and Salesforce are further out — we’ll build what real customers ask for. Email us if either is a dealbreaker.

Within 24 hours, often same-day. Closed beta cohort 01 is small enough that every issue gets attention. We don’t commit to hard SLA numbers at v0.9 — we’d rather set expectations we can beat.

A Glossary and Methodology page live on this site. Product docs and API reference will be published alongside launch at docs.behar.ai.

Yes. Every cohort 01 admit gets a setup call when they join. Onboarding flows inside the product cover the rest — and if you’re stuck, write in and we’ll jump on a call.