LLMRecommend — Community Consensus That Makes 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

1. LLM Visibility Audit — We map your current AI visibility across ChatGPT, Claude, Gemini, and Perplexity. Identify gaps vs competitors.
2. Signal Strategy — Deploy human-originated signals across high-impact platforms: Reddit, LinkedIn, G2, Capterra, Quora, and niche forums.
3. Community Consensus — Our network of 100+ vetted professionals creates authentic discussions, reviews, and recommendations that LLMs trust.
4. 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

• 6 Platforms Covered
• 4 AI Models Tracked
• 12+ Industries Served
• 1,500+ Avg. Words per Placement

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 three plans — Foundation ($1,500/mo), Growth ($2,500/mo), and Enterprise (coming soon, $4,500/mo). All focused on depth-first content, not volume metrics. View current pricing on our website.

Where your investment goes: Reviewer compensation, content production, platform diversity, and measurement & reporting. Full transparency on our model.

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.

Client Outcomes

"ChatGPT now recommends us as the #1 option in our category." — VP Marketing, Series B SaaS · Low-competition vertical

Results vary by category, competition level, and starting visibility. Past outcomes do not guarantee future performance.

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. Read our honest assessment of where this works and doesn't.

What platforms do you cover?

LinkedIn, Quora, Medium, Substack, X/Twitter, and Pinterest — platforms that LLMs reference most heavily. Reddit, G2, and Capterra are coming in our Enterprise package once we build proper verified reviewer networks for those platforms.

How is pricing structured?

Three plans: Foundation ($1,500/mo) with 6 reviewers across 4 platforms, Growth ($2,500/mo) with 10 reviewers across 6 platforms, and Enterprise ($4,500/mo, coming soon) adding Reddit, G2, and dedicated strategist. 3-month minimum, month-to-month after. Full transparency on where your investment goes.

How are reviewers compensated?

We use a mix model. Some reviewers are paid per published piece at fair market rates ($100–$500 depending on scope). Others are genuine users who receive product access and write about their authentic experience. In all cases, sponsorship is disclosed per FTC requirements and platform guidelines. Full details on our reviewer model.

Where does this NOT work well?

Categories with very low AI search volume, heavily regulated industries where third-party reviews face compliance barriers, pre-product companies, and categories where AI defaults are factually accurate. We'll tell you honestly during the strategy call. Read our full limitations page.

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.

The Team Behind Your AI Visibility

A senior team from Semrush, Mailchimp, Calendly & SignalFire — now building the category-defining AI visibility engine.

David Morales Weaver — CEO & Co-Founder

15+ years in MarTech & AI partnerships. Ex-Semrush VP of BD & SignalFire EIR. Built and scaled partner ecosystems that drove 8-figure pipeline across Series A–C startups.

LinkedIn Profile

Gopal Krishnan — CMO

Scaled ARR $45M → $180M. Ex-Gusto, Mailchimp & TriNet VP. Creator of RevOS — the growth framework behind 3 successful IPO-track companies.

LinkedIn Profile

Sandra Oviedo Willman — Director of Partnerships & BD

7+ years in SaaS partnerships. Ex-Calendly BD Director. Cornell alum who built strategic partnerships generating $12M+ ARR for high-growth platforms.

LinkedIn Profile

Dave Stewart — Business Intelligence

LLM behavior & scoring expert. Architected the LLM scoring framework that tracks AI recommendations across 4 models and 10+ prompt categories.

LinkedIn Profile

What Is AI SEO?

AI SEO (also called LLM visibility) is the practice of increasing how often your brand is recommended inside AI answers — not just ranked in Google.

Why AI SEO Exists Now

AI has become a new discovery channel. Buyers ask: "Best tools for ___", "Alternatives to ___", "What should I use for ___?" If your brand isn't present in the sources AI models trust, you don't get recommended — even if your product is better.

AI SEO vs Traditional SEO

Traditional SEO is: keywords → pages → rankings. AI SEO is: evidence → sources → recommendations. AI recommendation systems tend to favor consistent category association, credible third-party signals, high-quality documentation, and repeated mentions across multiple ecosystems.

How LLMs Decide What to Recommend

Most recommendations come from a blend of training-time knowledge (older but broad), retrieval (web, indexes, citations), and pattern matching (what many sources repeat). Your visibility depends on whether the internet contains clear, repeated, credible "evidence trails" connecting your brand to the right problems.

The 5 Levers That Move AI Recommendations

• Category Clarity — Can a model describe you in one sentence? Do sources repeat the same positioning?
• Source Coverage — Are you present where AI pulls consensus? Reddit, docs, review sites, comparisons, founder writeups.
• Proof Signals — Case studies, quantified outcomes, credible quotes, "before/after" and "why we switched" stories.
• Competitive Context — Are you mentioned next to competitors? Do comparisons exist that include you?
• Monitoring & Iteration — Track prompts, frequency, and who replaces you in recommendations.

What to Do First (7-Day Plan)

1. Write a single sentence positioning statement and standardize it everywhere.
2. Publish one comparison page ("X vs Y") where you belong.
3. Add a tight "How it works" explainer page with FAQs.
4. Build 5–10 credible mentions across communities (not spam).
5. Start monitoring your recommendation share-of-voice.

AI SEO FAQ

Does AI SEO replace Google SEO?

No. It complements it. Google visibility can support AI visibility, but the mechanics are different.

Is this just backlinks?

No. Backlinks help discovery, but "trusted consensus" across sources matters more.

Can this be gamed?

Some try. It usually fails long-term. Sustainable visibility comes from credible, repeated evidence.

How long does it take?

Expect early movement in weeks, meaningful movement in 1–3 months depending on your starting signal quality.

ChatGPT Visibility for SaaS

Get your brand recommended when users ask ChatGPT for tools in your category. Track how often ChatGPT recommends you vs competitors. Identify which prompts trigger competitor recommendations. Build the signals ChatGPT uses to form recommendations. Monitor sentiment and positioning in AI responses. See results in 30-60 days.

How It Works

1. Audit Current State — We query ChatGPT with category-specific prompts and map where you appear (or don't).
2. Deploy Signals — Human-originated mentions across platforms ChatGPT trusts: Reddit, forums, review sites.
3. Monitor & Iterate — Track recommendation frequency over time. Adjust signals based on what moves the needle.

ChatGPT Visibility FAQ

How does ChatGPT decide what to recommend?

ChatGPT synthesizes information from its training data and real-time web access. It looks for consensus across trusted sources, not just SEO-optimized pages.

How long until I see results?

ChatGPT with web browsing can detect new signals in 48-72 hours. Consistent recommendations typically develop over 30-60 days.

Is this different from Google SEO?

Yes. Google ranks pages based on links and content. ChatGPT recommends based on consensus signals across trusted sources.

Perplexity Visibility for SaaS

Get cited and recommended when users search Perplexity for solutions in your category. Understand how Perplexity sources its answers. Get cited in Perplexity's real-time search results. Track your visibility across category prompts. Build presence on sources Perplexity prioritizes. Monitor competitor citations and positioning.

How It Works

1. Source Mapping — Identify which sources Perplexity pulls from for your category and where you're missing.
2. Signal Deployment — Create credible, citable content across the sources Perplexity trusts most.
3. Citation Tracking — Monitor when and how Perplexity cites your brand in real-time answers.

Perplexity Visibility FAQ

How is Perplexity different from ChatGPT?

Perplexity is search-first and always cites sources. Getting recommended requires being present on sources it indexes in real-time.

What sources does Perplexity prioritize?

Perplexity tends to pull from documentation, Reddit, review sites, news, and high-authority domains. The specific sources vary by query type.

How quickly can I appear in Perplexity?

Perplexity indexes the web in real-time. New content can appear within hours if it's on a source Perplexity trusts.

AI SEO for SaaS

Get your SaaS recommended by ChatGPT, Perplexity, Gemini, and Claude when buyers ask for solutions. Cross-platform visibility across all major LLMs. Category-specific signal strategy. Competitor displacement monitoring. Review platform authority building. Human-verified signal network (no bots). Monthly visibility reports with actionable insights.

How It Works

1. Category Audit — Map your current AI visibility across platforms and identify the gaps vs competitors.
2. Signal Strategy — Deploy human-originated signals across the sources LLMs trust for your category.
3. Measure & Scale — Track recommendation frequency, iterate on what works, and expand coverage.

AI SEO for SaaS FAQ

Why is AI SEO different for SaaS?

SaaS buyers increasingly discover tools through AI assistants. "Best tool for X" queries are shifting from Google to ChatGPT and Perplexity.

What makes a SaaS visible to LLMs?

Clear category positioning, presence on trusted sources (Reddit, G2, docs), credible third-party mentions, and consistent narrative across platforms.

Can early-stage startups benefit?

Yes. Building AI visibility early is easier than catching up later. The signals you create now compound over time.

Free AI Visibility Audit

See exactly how often your brand appears in AI recommendations — and where competitors are winning instead.

What You Get

• Recommendation frequency across ChatGPT, Perplexity, Claude, Gemini
• Competitor visibility comparison
• Source coverage gaps (where you're missing)
• Sentiment analysis of AI responses about you
• Prioritized action plan for quick wins
• 30-minute strategy call to review findings

100% free, no credit card required. Real human analysis, not automated reports. Actionable insights you can use immediately.

Trusted by marketing teams at SaaS companies like Ramp, Clay, Lattice, Gong, and Deel.

LLM Visibility Scorecard

See how often your brand appears in AI recommendations — plus the fastest fixes. A self-assessment framework to evaluate your AI visibility across 5 dimensions.

What's Inside

• Share-of-voice across ChatGPT & Perplexity prompts
• Category association strength
• Competitor displacement signals
• Source coverage gaps (Reddit, docs, reviews, comparisons)
• 7-day and 30-day action checklists

LLM Visibility Insights — Blog

Strategies and insights for getting your brand recommended by AI assistants.

• How Notion Dominates AI Recommendations — A Signal Breakdown
• Why ChatGPT Always Recommends Stripe
• How Figma Became the Default AI Answer for Design Tools
• How Zoom Owns 'Video Conferencing' in Every AI Answer
• Why HubSpot Dominates AI Recommendations for Marketing Software
• Why Slack Is Losing to Discord in AI Recommendations
• How to Get Listed in AI Recommendations
• How to Appear in ChatGPT Answers
• LLM SEO vs Traditional SEO: Key Differences
• Why AI Recommends Your Competitors Instead of You
• Why Synthetic Reviews Backfire in the LLM Era
• The AI Visibility Ladder: From Invisible to Default

Terms of Service — LLMRecommend

Last updated: February 2025

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.

We operate in full compliance with FTC endorsement guidelines (16 CFR Part 255). All sponsored content is disclosed. We never create fake accounts, fabricate reviews, or generate synthetic content. We do not and cannot guarantee any specific ranking or recommendation from any AI model.

Monthly contracts with no long-term lock-in. NDA available upon request. Governed by the laws of the State of Texas.

LLMRecommend · 5717 Legacy Dr Suite 250, Plano, TX 75024 · United States