
ReachLLM
ReachLLM · Coding · Marketing
ReachLLM is a Generative Engine Optimization (GEO) platform and managed agency service that measures how AI engines like ChatGPT, Gemini, and Perplexity describe your brand, then fixes the gaps.

About ReachLLM
What Is ReachLLM
ReachLLM tracks how large language models talk about a brand. It runs prompt clusters across ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews, then scores where the brand shows up, how it is described, and which sources the models lean on. The idea is simple: if an AI engine can't find you, customers asking for recommendations won't either.
The product targets the gap between traditional SEO and AI answers. Ranking well on Google doesn't mean ChatGPT recommends you, and a clean website doesn't mean the models describe it accurately. As an AI visibility tool, ReachLLM scores those blind spots and turns them into a weekly work plan.
The main limit is scope. A software plan shows you the problem, but fixing it still takes your own time unless you pay for the managed Growth tier. The platform also leans on a credit system for execution tasks, so heavy use can push you toward add-ons.
Getting Started
- Sign up and enter your website for a free AI visibility report.
- Connect the brand and pick the prompt clusters you care about, such as "best CRM for small teams."
- Pick your AI models from the four included, then run the first audit to set a baseline.
- Review the visibility score, share of voice, cited sources, and brand perception report.
- Move into the weekly plan, whether that's your team executing or the managed Growth service doing it for you.
Product Information
A quick look at ReachLLM's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Marketing leads at service and SaaS companies
- SEO professionals and consultants
- Agency owners
Tasks
- Benchmarking AI visibility
- Finding weak spots
- Executing GEO fixes
Scenarios
- A brand with strong SEO that still isn't getting AI mentions
- Agencies running GEO for multiple clients
- Teams testing the waters
Key features
Multi-Model Visibility Tracking
For AI search monitoring, ReachLLM runs your prompts across four included AI models, with ChatGPT, Gemini, Perplexity, and Google AI Overviews in the mix and Claude available as an add-on. You see a per-model breakdown of where you appear, so a gap in one engine doesn't hide behind a strong score in another. The dashboard splits coverage by prompt cluster rather than a single blended number.
Prompt Intelligence and Clustering
Instead of tracking random keywords, the platform groups the real questions buyers ask, like "what's the best agency for X." It scores which clusters drive results and shows where you're missing. That focus on high-intent prompts is what separates GEO work from traditional rank tracking.
Competitor Citation Analysis
Brand visibility in ChatGPT and its peers comes down to which sources the engines cite, and this feature maps them. The tool maps which sources AI engines cite when they answer questions in your space. You learn whether competitors are winning because of coverage, positioning, or the pages models lean on. That source-layer view goes past your own site to the external surfaces shaping the answers.
GEO Audit and Execution Credits
Each plan bundles audit pages and execution credits for hands-on work. You get structured GEO auditing, schema and technical fix tracking, and a running list of prioritized weaknesses. Credits cover the implementation tasks so you can act on the audit inside the same platform.
Weekly Managed Execution (Growth)
The Growth tier adds a dedicated GEO expert who runs the roadmap for you. That includes content strategy, page updates, schema and technical fixes, PR outreach, and Reddit, LinkedIn, and social posting support. It ships with monthly strategy reporting and a KPI-based guarantee tied to agreed AI-visibility targets.
White-Label Reporting and Sharing
Scale and Growth plans produce client-ready share links and white-label reports. Agencies can hand a clean visibility report to a client without rebuilding it, and teams get historical monitoring to track momentum over time.
Pros and cons
Pros
- Covers ChatGPT, Gemini, Perplexity, and Google AI Overviews in one view, with Claude as an add-on.
- Managed Growth tier executes the plan instead of just handing you a dashboard.
- Free AI visibility report and a 14-day trial on Pro and Scale lower the risk of testing.
- White-label reports and pooled projects on Scale fit agency and multi-client work.
- KPI-based guarantee on managed engagements, with the company stating it has met agreed targets in every case.
Cons
- Software-only plans leave execution to your own team, so results depend on your bandwidth.
- Growth managed execution starts at $3,500/mo, which puts it out of reach for small budgets.
- The 3-month minimum on Growth means you can't try managed execution short-term.
- Execution credits and audit pages are capped, so heavy users may need add-ons that raise the cost.
Frequently asked questions
ReachLLM measures and improves how AI engines recommend your brand. It tracks your visibility across ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews, then turns the gaps into a weekly optimization plan.
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