Why not just use AI to generate signals for LLM visibility?

LLMs are highly sensitive to 'Synthetic Data Collapse.' If you feed an AI signals generated by another AI, it triggers spam filters and de-weighting. We use a Proof-of-Work model: 100% human-originated intelligence that models are programmed to value.

How is this different from a bot farm?

LLMs are designed to filter out low-quality, repetitive bot patterns. Using a bot farm risks a 'training weight penalty'—the AI learns to ignore you. Our network consists of 40+ verified professionals with real LinkedIn profiles and real technical expertise.

When will I see results from LLM visibility optimization?

Search-augmented models (Perplexity, ChatGPT Search) pick up signals within 48–72 hours. 'Critical Density' for cross-model verification happens at 14–30 days. Permanent 'model memory' integration typically occurs at 60+ days of consistent signaling.

What is Active Sentiment Defense?

LLMs sometimes hallucinate or develop negative biases about brands. Active Sentiment Defense monitors AI responses for inaccuracies and deploys corrective signals to shift the model's inference back to accurate, positive recommendations.

How do you track LLM recommendations?

We use proprietary monitoring that queries ChatGPT, Claude, Gemini, and Perplexity with category-specific prompts. We track when your brand appears, your position vs competitors, and sentiment trajectory over time.

LLMRecommend — Make AI Recommend Your Brand

What We Do

LLMs ignore your website. They trust Reddit, LinkedIn, and G2. We mobilize real people across real platforms to build the consensus that makes AI recommend your brand.

LLMRecommend helps B2B SaaS companies get recommended by ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews through authentic, human-originated community signals.

Our model works like influencer marketing and community review programs — established, legitimate marketing practices used across every industry. Real users who've genuinely used your product share their honest opinions publicly. When content is sponsored, it is always openly disclosed per platform guidelines. We never fabricate reviews, use fake accounts, or engage in astroturfing. Transparency and platform compliance are non-negotiable company policies.

You Don't Have a Quality Problem — You Have a Visibility Problem

LLMs are consensus machines. They synthesize what "the internet thinks" about a product. If your product has happy users who just aren't talking about it publicly, you're invisible to AI — not irrelevant.

We help real people who've used your product share their genuine experiences on the platforms LLMs trust most. Sponsorship is always openly disclosed — no hidden agendas, no astroturfing. This is good marketing adapted to a new distribution channel — no different from influencer outreach or review generation programs that brands have used for decades.

How It Works

LLM Visibility Audit — We map your current AI visibility across ChatGPT, Claude, Gemini, and Perplexity. Identify gaps vs competitors.
Signal Strategy — Deploy human-originated signals across high-impact platforms: Reddit, LinkedIn, G2, Capterra, Quora, and niche forums.
Community Consensus — Our network of 100+ vetted professionals creates authentic discussions, reviews, and recommendations that LLMs trust.
Measure & Scale — Track recommendation frequency, sentiment, and share-of-voice across all major AI models. Iterate and expand.

Signal Trust Hierarchy

LLMs weight signals differently. We focus on what matters most:

High Impact: Reddit threads, G2/Capterra reviews, Quora answers, LinkedIn authority posts, news mentions
Medium Impact: Niche forums, YouTube, podcasts, X/Twitter threads
Low Impact: Self-published blogs, press releases, company LinkedIn pages

Key Stats

100+ Vetted Reviewers
2,500+ Monthly Signals
6 Platforms Covered
60 Days to Measurable Lift

Independent Analysis

"Directionally sound strategy, legitimate if done transparently, and the underlying mechanism — community signals influencing LLM outputs — is real."

On the method: "Helping real users share their real experiences on platforms LLMs draw from is just good marketing adapted to a new distribution channel." This is the same model as influencer marketing, ambassador programs, and review generation — all established, legitimate marketing practices.

On signal trust: "LLMs weight Reddit threads, G2 reviews, and community discussions heavily because those platforms have historically been hard to fake at scale."

On transparency: "When content is sponsored, it's disclosed. That's fundamentally different from astroturfing — it's established, legitimate community marketing."

Our Transparency Policy — Honest, Disclosed & Platform-Compliant

We operate like an influencer marketing agency adapted for the AI recommendation era. Our reviewers are real people who use your product, then share their honest opinions publicly. We are a policy-driven company — transparency is not optional, it's foundational to how we work.

Sponsored Content Always Disclosed: If a reviewer is compensated or sponsored in any way, it is clearly and openly disclosed per each platform's guidelines. No exceptions. No grey areas. This is identical to how influencer marketing and ambassador programs operate.
No Astroturfing, Ever: We never create fake accounts, fabricate reviews, or disguise paid content as organic. Every post comes from a real person with a real profile and a real opinion.
100% Public Signals: Reviewers evaluate your product as any user would — publicly and independently. No credentials or logins needed from you.
Full Deliverable Transparency: You get posts, reviews, strategy, and measurement — all documented and shared with you. Nothing is hidden.
Platform-Compliant: All content follows the terms of service of every platform we operate on. We monitor for removals and adjust strategy proactively.
NDA Available: Enterprise clients can request NDAs. Monthly contracts with no long-term lock-in.

Is This For You?

Early-Stage SaaS: Happy users but low public footprint. Your product is great — people just aren't talking about it yet.
Competitive but Invisible: Genuinely strong product losing the AI recommendation game to incumbents with more web presence.
Stale Category Defaults: Your category's LLM "default answer" is dominated by a few players. Time to change the narrative.

Plans

We offer flexible monthly plans with no long-term lock-in — from community seeding packages to full narrative monopoly programs with dedicated strategists, sentiment defense, and competitive displacement. Enterprise and custom plans available. View current pricing on our website.

Why Not AI-Generated Signals?

LLMs detect synthetic content and apply "training weight penalties." We use a Proof-of-Work model: 100% human-originated intelligence from verified professionals with real LinkedIn profiles and real expertise.

Results

"0 → 40% ChatGPT share-of-voice in 47 days." — VP Marketing, Series B SaaS

Platforms We Cover

Reddit, LinkedIn, G2, Capterra, Quora, niche industry forums, YouTube, and more.

Trusted By

Marketing teams at Attio, Tally, VEED, Koala, Pitch, and other fast-growing SaaS companies.

FAQ

Why not just use AI to generate signals?: LLMs are highly sensitive to "Synthetic Data Collapse." AI-generated signals trigger spam filters and de-weighting. We use 100% human-originated intelligence from nano and micro experts — real professionals with real domain expertise who share genuine opinions.
How is this different from a bot farm?: LLMs filter out low-quality, repetitive bot patterns. Our network consists of 100+ vetted nano and micro experts — professionals with real LinkedIn profiles, real technical expertise, and authentic platform histories. This is fundamentally different from automated or fake engagement. We operate identically to influencer marketing agencies that connect brands with nano and micro influencers for authentic product advocacy.
When will I see results?: Search-augmented models (Perplexity, ChatGPT Search) pick up signals within 48–72 hours. Critical density for cross-model verification happens at 14–30 days. Permanent model memory integration typically occurs at 60+ days of consistent community signaling.
How do you track LLM recommendations?: Proprietary monitoring queries ChatGPT, Claude, Gemini, and Perplexity with category-specific prompts. We track brand appearance, position vs competitors, sentiment trajectory, and share-of-voice over time. Monthly reports are provided to all clients.
Is this the same as influencer marketing?: Yes — our model is directly analogous to nano and micro influencer marketing, community ambassador programs, and product review campaigns. These are established, FTC-compliant marketing practices used across every industry. The only difference is that our focus is on platforms that LLMs use as training and retrieval sources, rather than traditional social media reach.
How do you ensure disclosure and compliance?: All sponsored content is explicitly disclosed per each platform's guidelines and in accordance with FTC endorsement guidelines. Our reviewers follow a strict disclosure policy — identical to how influencer marketing agencies operate. We never disguise paid advocacy as organic content. Every reviewer signs an agreement requiring honest opinions and proper disclosure.
Do reviewers actually use the product?: Yes. Our nano and micro experts evaluate your product independently as any user would — publicly and on their own accounts. They share their genuine experience after hands-on use. No credentials or backend access from the client is required. This mirrors how product review programs and ambassador campaigns have operated for decades.
What is Active Sentiment Defense?: LLMs sometimes hallucinate or develop negative biases about brands based on outdated or inaccurate information. Active Sentiment Defense monitors AI responses for inaccuracies and deploys corrective community signals — factual, disclosed, and compliant — to shift the model's inference back to accurate recommendations.
Can LLMRecommend guarantee specific AI recommendations?: No. LLM outputs are determined by the model providers (OpenAI, Anthropic, Google, etc.) and are influenced by many factors beyond any single party's control. We do not and cannot guarantee specific rankings, recommendations, or outputs from any AI model. What we provide is a structured, transparent community marketing program designed to increase your brand's authentic presence on platforms that LLMs reference. Results vary by category, competition, and market conditions.
What platforms do you cover?: Reddit, LinkedIn, G2, Capterra, Quora, niche industry forums, YouTube, Stack Overflow, and other platforms that LLMs use as retrieval and training sources. Our strategy targets the specific platforms most relevant to your product category.
How is pricing structured?: We offer two plans: Semantic Seeding at $1,950/month (50+ narrative placements, cross-platform seeding, monthly visibility reports) and Narrative Monopoly at $4,500/month (full seeding plus G2/Capterra authority building, sentiment defense, competitive displacement, and a dedicated strategist). Monthly contracts with no long-term lock-in. Enterprise and custom plans available.
Who are the "nano and micro experts" in your network?: Our network consists of 100+ vetted professionals — software engineers, product managers, marketers, and industry specialists with authentic platform presences, real LinkedIn profiles, and genuine domain expertise. They are analogous to nano and micro influencers in traditional influencer marketing: real people with real credibility in their fields, not celebrities or mass-reach accounts. Each reviewer is individually vetted for authenticity and expertise.

Our Business Model — Nano & Micro Expert Advocacy

LLMRecommend operates as a community marketing and nano/micro influencer agency specializing in AI visibility. Our business model is identical in structure to established influencer marketing agencies that connect brands with authentic advocates:

Nano & Micro Expert Network: We maintain a vetted network of 100+ domain experts — analogous to nano and micro influencers — who share honest, disclosed product opinions on platforms LLMs trust.
FTC & Platform Compliance: All sponsored content is disclosed per FTC endorsement guidelines and individual platform terms of service. This is the same standard applied to influencer marketing, ambassador programs, and product seeding campaigns industry-wide.
No Fabrication: We never create fake accounts, fabricate reviews, or generate synthetic content. Every signal originates from a real person with a real platform history sharing a real opinion.
Client Transparency: All deliverables — posts, reviews, strategy documents, and measurement reports — are fully documented and shared with clients. Nothing is hidden or undisclosed.

Disclaimer & Limitation of Liability

LLMRecommend provides community marketing and brand advocacy services designed to increase brand visibility on platforms referenced by AI language models. Our services are analogous to influencer marketing, community review programs, and brand ambassador campaigns — all established, legitimate marketing practices.

No Guarantee of AI Outputs: LLMRecommend does not control, influence, or have any direct relationship with AI model providers including but not limited to OpenAI (ChatGPT), Anthropic (Claude), Google (Gemini), or Perplexity AI. AI model outputs are determined solely by their respective providers and are subject to change without notice. We do not and cannot guarantee any specific ranking, recommendation, mention, or output from any AI model.

Results Disclaimer: Past performance and case studies do not guarantee future results. Outcomes vary based on market conditions, competitive landscape, product category, and factors outside our control. Any metrics, percentages, or timeframes referenced on this website represent specific client outcomes and are not guarantees of similar results.

Compliance & Disclosure: LLMRecommend operates in full compliance with FTC endorsement guidelines (16 CFR Part 255) and the terms of service of all platforms on which we operate. All sponsored or compensated content is explicitly disclosed per applicable guidelines. Our reviewers are required to provide honest opinions and disclose any material connection to the brands they review.

Third-Party Platforms: LLMRecommend is not affiliated with, endorsed by, or sponsored by Reddit, LinkedIn, G2, Capterra, Quora, or any other third-party platform referenced on this website. All platform names are trademarks of their respective owners. Our services operate within each platform's terms of service and community guidelines.

Limitation of Liability: LLMRecommend's total liability for any claim arising from our services shall not exceed the fees paid by the client in the three (3) months preceding the claim. We are not liable for any indirect, incidental, consequential, or punitive damages, including but not limited to loss of revenue, loss of data, or loss of business opportunity. We are not responsible for content removal, account actions, or policy changes by third-party platforms or AI model providers.

Independent Contractor Relationship: Our nano and micro experts operate as independent contractors. LLMRecommend facilitates connections between brands and authentic advocates but does not control the specific opinions, language, or timing of individual posts. All opinions expressed by reviewers are their own.

Get Started

Get your free LLM Visibility Report — delivered within 48 hours with a 15-minute strategy call.

Visit llmrecommend.com to request your audit.