01
Observe
See where AI puts you
Track mentions, citations, rank, sentiment, sources, and competitors across enabled AI models.
The closed loop for AI search visibility
See where AI puts your brand. Understand why. Fix it.
ReachLLM is the AI-native platform that measures how your brand appears across AI search, diagnoses the evidence shaping each answer, and ships the content, website, schema, and PR work needed to improve it.
Updated July 2026
One operating system
What is the ReachLLM platform?
AI search visibility software that runs one closed loop: observe the answer, diagnose what caused it, execute the fix, and keep the evidence in one history.
Tracking is only the start. ReachLLM connects evidence to the fix. That means the same platform that shows a missing citation can create the page update, structured data, content brief, or outreach action needed to change the next answer.
02
Diagnose
Understand why
Connect the score to source gaps, technical blockers, wrong facts, query fanout, and brand perception.
03
Execute
Ship the fix
Create and approve content, site changes, schema, social work, and PR outreach from the same evidence.
Designed for the team doing the work
Who is ReachLLM for, and who is it not for?
Marketing agencies
Run each client's AI visibility from one workspace with pooled limits, white-label reporting, and per-project access.
In-house marketing teams
Turn prompt, source, and sentiment evidence into a prioritized execution plan without adding another reporting-only tool.
Enterprise portfolios
Coordinate multiple brands and stakeholders through a custom agreement that can include larger limits and governance options.
Not the right fit when…
- Teams that only need traditional Google rank tracking
- Brands seeking a fully outsourced engagement with no software access
- Very early projects without a website or meaningful content for AI systems to cite
Step 1 · Observe
Where are you visible, and where are you absent?
Track how often AI systems name and cite you, how you compare with competitors, and which prompts or product lines need attention.
Visibility Score
The percentage of analyzed answers that mention your brand.
Share of Voice
Your presence compared with named competitors across the tracked category.
Average Rank
Where your brand appears when an AI answer lists relevant companies.
Mention vs citation
Whether the answer names you and whether it actually cites your domain.
Prompt-level evidence
The real per-model answer, sources, competitors, and history behind each result.
Product-line heatmaps
The topics you own, the gaps you can close, and where competitors dominate.
Why this goes deeper: the evidence is trended, per-model, prompt-level, and explicit about sample size, not one blended weekly score.
Step 2 · Diagnose
Why aren’t you showing up?
ReachLLM connects visibility results to the technical, source, sentiment, fact, and retrieval signals causing them.
GEO Audit
Technical checks, metadata, headings, schema, crawlability, content, llms.txt, robots.txt, and authority signals.
Source intelligence
The cited and uncited domains shaping the answer, grouped by type and competitor overlap.
Sentiment by model
Positive, neutral, and concern signals, with the topics driving each perception.
Brand-fact review
Verify or dispute claims that AI systems make about your business before they spread.
Query fanout
Captured related or search queries where the provider exposes them, adding context beneath the final answer.
Longitudinal history
Saved, reviewable runs that show what changed and which action preceded the movement.
Why this goes deeper: it shows the sources, sentiment, wrong facts, and retrieval paths behind the score.
Step 3 · Execute
How does ReachLLM ship the fix?
ReachLLM turns diagnosis into work your team can approve and publish. The action stays connected to the prompt, source, and evidence that created it.
Prioritized strategy
Action items ranked by evidence and expected impact instead of a generic checklist.
Content
Articles and social drafts created from weak prompts, source gaps, and your brand voice.
Website and schema
Page updates, structured data, llms.txt, robots.txt, and technical fixes ready to publish.
PR outreach
Relevant publications, personalized pitches, and approved sends through connected Gmail or Outlook.
Approval controls
The agent prepares the work; your team reviews what changes and what gets published.
Connected execution
What can you connect ReachLLM to?
Connect your search data, publishing systems, and work tools so the result lands where your team already operates.
Traffic and search
Google Analytics 4
Google Search Console
Bing Webmaster Tools
Publish and update
WordPress
GitHub
Webflow
Shopify
Work and outreach
Google Drive
Notion
Gmail
Outlook
Reddit
LinkedIn
- MCP
Agency and enterprise controls
Does ReachLLM work across multiple brands?
Yes. Scale is built for multi-project teams, while Enterprise adds custom coverage and governance options.
- Up to 10 projects with pooled prompts and audit-page limits on Scale
- White-label reports, client-ready share links, and unlimited team members
- AI generation and localization across 31 supported language options
- Custom Enterprise agreements can include larger limits, SSO, API/export access, SLAs, and executive reporting; confirm the scope with sales.
Scale without turning every client into a separate workflow
Keep visibility runs, brand knowledge, integrations, strategy, approvals, and reporting scoped to the right project while the agency sees the whole portfolio.
10
projects
500
pooled prompts
1,000
pooled audit pages
20,000
execution credits
Current Scale monthly limits. See Pricing for full plan terms.
Model coverage
Which AI models does ReachLLM track?
Four models are included on Pro and Scale. Claude is available as an add-on; confirm any additional model coverage with sales.
ChatGPT Included
Google AI Overviews Included
Perplexity Included
Gemini Included
Claude Add-on
Plans
How much does ReachLLM cost?
Pro
$399/mo
Self-serve AI visibility software for one serious project.
Scale
$999/mo
Multi-project workspace for agencies, portfolios, and sister brands.
Growth
From $3,500/mo
Managed execution with a dedicated GEO expert who handles the roadmap with you.
Enterprise/Custom
Custom
Custom Enterprise agreements can include larger limits, SSO, API/export access, SLAs, and executive reporting; confirm the scope with sales.
Measurable managed work
How is managed execution measured?
Growth starts at $3,500/month with a three-month minimum. The baseline, reporting method, and any performance commitment are defined in the signed agreement.
01
Set the baseline and measurement method before execution begins
02
Ship monthly work across content, pages, schema, and approved outreach
03
Report the prompt, citation, rank, sentiment, and source movement
Performance commitments and remedies are contract-specific. Review documented customer outcomes separately on the Results page.
Review resultsA fair comparison
How is ReachLLM different from other GEO tools?
Strong analytics platforms help teams track the market. ReachLLM's distinction is the connected diagnosis and execution layer: content, website/schema, outreach, and an agent operating from the same history.
Tracking is only the start. ReachLLM connects evidence to execution.
Read source-linked comparisons
The team
Who built ReachLLM?
A founder-led team spanning engineering, product, GEO strategy, operations, partnerships, and delivery.
Meet the full teamPlatform FAQ
What else do teams ask about ReachLLM?
Straight answers about the product, model coverage, multi-brand work, action workflows, and pricing.
What is the ReachLLM platform?
ReachLLM is AI search visibility and GEO software. It tracks how major AI systems mention, cite, rank, and describe your brand, explains why the answer looks that way, and helps your team ship content, website, schema, and PR fixes.
What is the difference between mention rate and citation rate?
Mention rate is how often your brand appears in an AI answer. Citation rate is how often the answer links to or cites your own domain as a source. ReachLLM reports both separately by model and over time.
What is query fanout?
Query fanout is the set of related sub-queries an AI system may use before producing an answer. ReachLLM shows captured related or search queries where the provider exposes them, helping teams understand the retrieval context beneath the final response.
Does ReachLLM only report, or does it take action?
It does both. ReachLLM measures AI visibility and then turns the diagnosis into prioritized work across content, websites, structured data, social publishing, and PR outreach, with approval controls for your team.
Can the agent answer questions about historical data?
Yes. The ReachLLM agent can use authorized visibility history and supported connected tools to answer questions about mentions, citations, sentiment shifts, source changes, rankings, competitors, and next actions in plain language.
Does ReachLLM work for agencies with multiple brands?
Yes. Scale supports up to 10 projects with pooled prompts and audit pages, white-label reports, client-ready share links, unlimited team members, and multi-project workspace controls.
Which AI models does ReachLLM track?
ChatGPT, Google AI Overviews, Perplexity, Gemini are included. Claude is available as an add-on. Confirm any additional model coverage with sales.
Who is ReachLLM not for?
ReachLLM is not designed as a traditional Google rank tracker. It is also a poor fit for very early projects that have no website or useful content for AI systems to cite.
How much does ReachLLM cost?
Plans start at $399 per month. Pro is $399 per month, Scale is $999 per month, managed Growth starts at $3,500 per month, and Enterprise pricing is custom.
Get your free AI visibility report.
See what AI says before competitors win the answer.
Enter your website and ReachLLM will benchmark visibility score, share of voice, cited sources, prompt responses, and brand perception across AI search.
Track ChatGPT, Gemini, Perplexity, and Google AI Overviews, with Claude available as an add-on.