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Features that make AI know your brand

AI Brand Recognition Audit

LLMtel connects to 17+ leading language models via API to check:

– If your brand, business, product, or service is recognized.
– What information they return about your name.
– How your brand performs in industry-relevant searches.

Simply enter your brand name or URL to get started.

AI-Generated Questions

Get the answers to up to 10 questions per report.

– LLMtel automatically generates five questions related to your entity.
– Enter your own custom questions to get even better results
– Refine the questions for local, regional, or national focus.

Instant Access No Passwords

Getting into LLMtel is frictionless:

– Use your company email to receive a magic login link.
– No password hassles.
– Secure access to your personal dashboard and reports.

Detailed Model-by-Model Breakdown

Get a granular view of what each AI model knows about you.

– See which models recognized your brand.
– Understand how they responded to industry prompts.
– Dive into full LLM outputs for more context.

This makes it easy to identify gaps, inconsistencies, or outdated information in the AI ecosystem.

Track Changes Over Time

– Run audits regularly to track improvements in recognition.
– Monitor the impact of PR campaigns, brand updates, or SEO efforts in LLM outputs.
– Build a clear picture of your evolving AI visibility.

One-Click Report Sharing

Each report includes a public link so you can:

– Share insights with your team or clients
– Embed reports in presentations
– Make transparency part of your brand strategy

Free Plan with Generous Limits

LLMtel’s Basic Plan is free and powerful:
Audit up to 10 times per day

– Access 17+ leading LLMs
– No limits for admin users
– A Premium Plan with extended model coverage is coming soon.

Built for Transparency, Insight, and Control

LLMtel gives you:

Data-driven clarity on your AI presence
– Actionable steps to improve it
– A centralized hub to manage, track, and report on visibility

AI Visibility Tracking & Trends

Track how your AI visibility changes over time.

LMtel automatically re-runs AI Visibility Checks so you can track recognition, accuracy, sentiment, and competitive visibility across AI search engines and chatbots. See what’s improving, what’s slipping, and when it changed—without digging through raw data.
Click any trend to see the exact AI answers behind it and understand why visibility moved.

Key Points:

AI Visibility Score & metrics

One number the whole team can move.
Your AI Visibility score summarizes how well AI tools know and represent your brand. Supporting metrics show:

Use AI Visibility to set goals, prioritize fixes, and show progress after your next re‑check. (Deep dive: AI Visibility Score Explained in the Knowledge Center.)

Two cohorts for clarity: AI Core Knowledge vs AI Search‑Grounded

Compare apples to apples, even as models evolve.
We separate models into two cohorts:

This split keeps trends honest and helps you pinpoint what moved: facts added to your reference surface typically lift Core Knowledge; new coverage or distribution often moves Search‑Grounded first. Aggregations use provider weighting to reflect real‑world usage.

Validation, Sentiment & Competitive Positioning

Read results the way humans do.
LLMtel uses human‑aligned validation: we focus your source of truth to determine the accuracy of contradictions and hallucinations rather than rigid keyword lists, so accurate but concise answers aren’t unfairly penalized. You’ll also see:

Shareable reports

Make wins easy to show and ship.
Send stakeholders a link to an AI Visibility Check so they can see recognition, alignment, sentiment, and positioning without needing an account. Pair a before/after to prove lift, then move the program into an AI Visibility Monitor to keep the story going.

Scheduling & Alerts

Set it once, get notified when it matters.
Run Checks automatically (weekly, monthly, or custom). Receive alerts when a Monitor runs or when key metrics move beyond your thresholds, so you can fix issues fast and prove the recovery.

Tools

Compare LLMs See models side‑by‑side to understand answer differences and guide prompt/copy decisions.
Prompt Testing Tool Quickly test variations to refine how AI introduces your brand and products.
(These tools appear in your workspace after login.)

FAQ’s

What’s the difference between a Check and a Monitor?

A Check is one run; a Monitor tracks many Checks with trendlines and history. Monitors include scheduling and alerts. [App‑only]

Why split models into cohorts?

Separating AI Core Knowledge from AI Search‑Grounded prevents browsing models from masking gaps in model memory and keeps comparisons stable as providers change.

How do I show progress to executives?

Use the AI Visibility score plus supporting metrics, cohort splits, and a before/after. For ongoing programs, add a Monitor and include a trendline in your QBR. [App‑only]