BeharAI
How it works

From signup to your first “publish this” — in 90 seconds.

The OS handles detection, prompt engineering, competitor research, format selection, and the brief itself. Your team publishes (or accepts our draft). You handle the coffee.

Step 1

Type your brand. We do the rest of the setup.

Behar auto-detects your domain, classifies your industry, generates ten buyer-intent prompts your customers actually ask, and suggests the real competitors you're fighting on each one.

Everything is editable. Approve what's right, discard what's not. Two minutes, zero technical setup.

app.behar.ai/onboarding
What brand are we tracking?
Revolut logoRevolutdetected: revolut.com
Suggested prompts
best digital bank for freelancers
multi-currency account app
cheapest international transfers
best neobank 2026
Competitors found
Wise logoWise
N26 logoN26
Payoneer logoPayoneer
app.behar.ai/runs/latest
Run #247 · Completed
87s
ChatGPT
0
claude logoClaude
0
perplexity logoPerplexity
0
gemini logoGemini
0
deepseek logoDeepSeek
0
Grok
0
google_aio logoGoogle AI
0
copilot logoCopilot
0
Avg +4 points since last run. 3 new gaps detected.
Step 2

The OS runs the loop daily across every major LLM.

ChatGPT, Claude, Perplexity, Gemini, DeepSeek, Grok, Google AI, Copilot — every answer parsed, every brand mention scored, every citation catalogued. Claude Haiku does the structured analysis. Zero black boxes.

First run completes in under 90 seconds. Scheduled runs fire daily at 6am UTC, automatically.

Step 3

Behar tells you what to publish. You publish. The number moves.

Each cycle Behar hands you a short list — articles, Reddit answers, LinkedIn posts, comparison pages — named, briefed, drafted, aimed at the prompts you're losing this week.

Publish. Six weeks later Behar re-runs the affected prompts automatically and shows you the lift — or tells you what to try next.

Content Engine
Gap detected
Brief generated
Draft written
PROMPT
"cheapest international transfers"
AI-generated brief
Angle: Revolut's zero-fee multi-currency vs Wise's per-transaction model.
Structure: Question-first H1, comparison table, FAQ block.
Targets: g2.com, reddit.com/r/personalfinance, hacker news
Draft preview
Publish →
Regenerate
Export
The math underneath

How Behar scores.

Every number in Behar is decomposable. Base points for being mentioned, plus bonuses for position, frequency, and sentiment. No black boxes, no “proprietary index.”

Hover any metric in the product and see exactly how it was calculated. The full formula is public.

Read the methodology
Score components
40
Base
Brand was mentioned at all.
+30
Position
Where you rank (30/20/15/10/5).
+20
Frequency
Repeat mentions (capped).
±10
Sentiment
Positive +10, neutral 0, negative −10.

That's the whole loop.

Every feature in Behar exists to make one of those four steps faster, sharper, or more automatic. Nothing else is shipped.

Request early access →
Field notes · monthly

Notes from running the loop.

Once a month: what we learn from running AI-search visibility audits across categories. No promo. No funnel. Unsubscribe in one click.