LLM Recommend — Community Consensus That Makes AI Recommend Your Brand

We Only Work With Brands That Have Real Proof of Customer Love

LLMRecommend helps strong brands increase the amount of real, first-hand, public review signal on the internet — through paid, disclosed reviews from verified U.S.-based professionals who actually test the product for 2+ days before they write a single word.

We amplify real love with real people. We do not manufacture trust.

Real People. Real Product Testing. Real Public Signal.

Verified Reviewers

Our network includes vetted U.S.-based professionals who evaluate products in context — not anonymous content farms. Every reviewer has a real identity, real expertise, and a reputation they protect.

Real Product Testing (2+ Days Minimum)

Reviewers spend 2+ days actually using the product. They assess the broader public sentiment and decide whether they genuinely want to put their name behind it. If they can't — they say no. They look at competitor alternatives, read existing reviews, and form their own honest opinion.

Full Disclosure — Always

If a review is sponsored, it is disclosed clearly and visibly. We do not use fake accounts, hidden promotion, or manufactured consensus. Ever. This is non-negotiable. Example disclosure: "Disclosure: This review is sponsored. All opinions are my own based on hands-on testing."

The Quality Filter That Makes This Work

Real people try your product. If they like it, they write about it — in their own voice, under their own name or a pen name (their choice). If they don't like it, they say so and we don't proceed. You don't get charged until writers have confirmed they genuinely want to publish.

Our writers will openly say "We can't stand behind this brand" — and that's the end of it. No further proceeding. No fake manufacturing. We would rather lose a client than publish something nobody believes in.

A note we don't shy away from: We reserve the right to decline working with any brand. No hard feelings — it simply means the timing or product-market fit isn't right yet. Come back when you have real customer trust and genuine product love. We currently have a waitlist of brands ready to work with us.

A Healthier Model for AI Visibility

Most AI visibility agencies still operate like old SEO shops: publish more blogs, create more landing pages, and hope rankings move. We take a different approach.

We believe AI systems respond more strongly to repeated public evidence than to self-promotional content alone. That means real opinions, real comparisons, and real first-hand takes matter.

How It Works — 5 Steps

Every step has a built-in quality filter. No shortcuts. No gaming. No overpromising.

Step 1 — Product Fit Check

We review your brand, product quality, and existing public sentiment. If there's no real proof of customer love, we tell you upfront — this isn't a fit. You don't pay anything at this stage.

Step 2 — People Try Your Product

We find real people, give them access to your product, and let them explore it on their own terms. No scripts, no pressure. They spend time with it and form their own opinion.

Step 3 — They Use It for 2+ Days

They explore the product, compare it to alternatives, and form their own opinion. If they like it, they move forward. If they don't, they say so — and the engagement stops there.

Step 4 — They Write — In Their Own Voice

If they genuinely stand behind it, they write a piece in their own words — the pros, maybe some cons, their honest take. They can publish under their real name or a pen name — that's their choice. It's a natural, real opinion.

Step 5 — Published With a Simple Tag

Goes live on platforms where sponsored content is allowed — with a simple #sponsored or #ad tag. A real person, a real opinion. You're only charged at this point, once everything is confirmed.

You Only Pay When Writers Confirm They Want to Publish

The entire process — product fit check, product testing, opinion forming — happens before you pay a single dollar. If our writers test your product and decide they can't stand behind it, the engagement doesn't proceed and you owe nothing. You're only charged once writers have confirmed they genuinely want to publish. No surprises. No refund situations. Zero risk on your side.

We Only Work on Platforms Where Paid Reviews Are Allowed

We do not operate on platforms that prohibit paid or sponsored content. We will never game a system, violate platform terms, or put your brand at risk.

If a platform doesn't allow sponsored content, we'll tell you honestly — and we won't overpromise results there.

Platforms We Cover

LinkedIn, Quora, Medium, Substack, X/Twitter, YouTube, Pinterest, and Instagram — all platforms where sponsored content is allowed with proper tagging.

What Makes This Different

Old Agency Playbook (What We Don't Do)

• Generic blog-first SEO tactics
• Hidden or low-quality outreach
• Pay-for-praise, no quality filter
• Vague promises about AI rankings

Our Method

• Real people with real identities writing their opinion
• 2+ days of actual product testing before a word is written
• Quality filter — if they don't like it, we don't proceed
• Simple #sponsored or #ad tag on every piece
• Writers choose to publish under their name or a pen name
• You only pay once writers confirm they want to publish

Why This Works

A real person tries the product, spends days with it, decides what they think, and writes about it in their own voice. If they like it, they publish — tagged as sponsored. If they don't, the engagement stops. Simple.

The quality filter is built into the process. If the product isn't good enough, or the fit isn't there, the collaboration doesn't move forward. If it is strong, they write honestly — including the pros, the cons, and the tradeoffs.

What Real Opinions Look Like

LinkedIn Example

"I spent the last week testing [Your Brand] for our Q4 campaigns — 3x ROI on content distribution. The onboarding was smooth, though I wish the reporting dashboard had more customization. Overall, genuinely impressed." #sponsored

Quora Example

"I've tested 15+ tools in this space. [Your Brand] stands out for pricing transparency, API flexibility, and support response times. The learning curve is steeper than some competitors, but worth it for power users." #ad

Medium / Substack Example

"After extensive testing, [Your Brand] came out ahead for ease of use and value. Not perfect — the mobile app needs work — but for the core workflow, it's the strongest option I tested." #sponsored

X / Twitter Example

"Spent the last 3 days testing [Your Brand] for our Q1 campaign. Honest take: the UX is slick, integrations solid, pricing fair. Only gripe — wish they had better Zapier support. Still switching from [Competitor] though." #ad

We Don't Manufacture Trust. We Help Real Product Quality Become More Visible.

Our work is designed to help brands strengthen the public signals that influence discovery and trust. We improve visibility — not manipulate outputs. We typically track:

• Increase in first-hand public reviews
• Increase in expert commentary
• Growth in public mention volume
• Movement in recommendation frequency across target prompts
• Stronger category association across public web sources

We do not say "we guarantee rankings" or "we control LLM outputs." We say "improve visibility," "increase public trust signal density," and "strengthen recommendation likelihood."

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.

Signal Trust Hierarchy

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

• High Impact: LinkedIn authority posts, Quora answers, Medium/Substack long-form articles, YouTube reviews
• Medium Impact: X/Twitter threads, Pinterest pins, Instagram posts, niche forums
• Low Impact: Self-published blogs, press releases, company LinkedIn pages

Key Stats

• 8 Platforms Covered
• 4 AI Models Tracked
• 12+ Industries Served
• 1,500+ Avg. Words per Placement
• 2+ Days Minimum Product Testing Per Reviewer

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."

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 with full transparency. Our reviewers are real people who test your product for 2+ days, then share their honest opinions publicly — with clear disclosure when compensation is involved.

• Sponsored Content Always Disclosed: If a reviewer is compensated, it is clearly and openly disclosed per each platform's guidelines. No exceptions. No grey areas.
• Quality Filter Before Publishing: If a reviewer doesn't believe they can genuinely stand behind the product, the collaboration does not proceed. We would rather lose a client than publish inauthentic content.
• 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.
• Platform-Compliant Only: We only operate on platforms where paid reviews are allowed. We will never game a system or violate platform terms.
• Honest Reviews Include Criticism: Reviews can include strengths, weaknesses, and tradeoffs. That's part of what makes them credible. We don't suppress negative feedback.
• Full Deliverable Transparency: All deliverables — posts, reviews, strategy documents, and measurement reports — are fully documented and shared with you.
• NDA Available: Enterprise clients can request NDAs. Monthly contracts with no long-term lock-in.

Is This For You?

• Brands With Real Customer Love: Your product already has happy users — they just aren't talking about it publicly yet.
• Competitive but Invisible: Genuinely strong product losing the AI recommendation game to incumbents with more web presence.
• Ready for Honest Reviews: You're confident enough in your product to invite genuine, unscripted testing from independent professionals.

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, real product testing time, content production, platform diversity, and measurement & reporting. Full transparency on our model.

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. All client reviews conducted through our transparent, disclosed methodology.

Honest Answers to Hard Questions — FAQ

Do you pay for positive reviews?

No. We pay for time, effort, testing, and distribution — not for forced positivity. Reviewers must genuinely want to put their name behind the product after testing it for 2+ days. If the fit is not there, the collaboration does not proceed. Our reviewers will openly say "We can't stand behind this" — and that's respected.

Are sponsored reviews disclosed?

Always. If compensation is involved, disclosure is clear and visible on every piece. Example: "Disclosure: This review is sponsored. All opinions are my own based on hands-on testing." We follow FTC 16 CFR Part 255 guidelines and each platform's specific disclosure requirements. This is non-negotiable.

Do reviewers actually test the product?

Yes. Every reviewer spends at least 2 days exploring the product, understanding the use case, looking at competitor alternatives, and forming an independent opinion before deciding whether to proceed. This is not a script-based promotion model.

Will every review be perfect?

No — and that's by design. Honest reviews include strengths, weaknesses, and tradeoffs. That is part of what makes them credible. LLMs are increasingly trained to detect and discount inauthentic content. Real, nuanced opinions have more longevity than manufactured praise.

What happens if a reviewer doesn't like the product?

The collaboration does not move forward. It's that simple. We would rather lose a client than compromise our reviewers' credibility. Our reviewers will openly tell us "We can't stand behind this brand" — and we respect that fully. No fake manufacturing. Ever.

What platforms do you work on?

We only operate on platforms where paid or sponsored reviews are allowed and properly disclosed — including LinkedIn, Quora, Medium, Substack, X, YouTube, Pinterest, and Instagram. We will never game a system or violate platform terms. If a platform doesn't allow sponsored content, we'll tell you honestly and won't overpromise results there.

Do you guarantee AI rankings?

No. No one can honestly guarantee rankings across answer engines or LLMs. Anyone who tells you otherwise is overpromising. Our role is to strengthen the public trust layer around an already-good product — increasing the likelihood that AI systems recognize and recommend your brand over time.

Who is this best for?

Brands with a strong product, real proof of customer love, and some existing market traction. We work best when there is genuine product quality to amplify. If your product doesn't have real customer love yet, we'll tell you upfront — this isn't the right time.

How long until I see results?

It depends heavily on your category and competition level. In low-competition verticals, clients have seen AI mentions within 4–6 weeks. In highly competitive categories, it can take 3–4 months. We track progress transparently in your monthly report so you always know where you stand. We never overpromise timelines.

What happens to the content if I cancel?

Everything stays live. Articles remain indexed. Quora answers keep their rankings. LinkedIn posts stay on profiles. Signals decay slowly without fresh reinforcement, but you keep the foundation permanently.

Where does this NOT work well?

Categories with very low AI search volume, heavily regulated industries where third-party reviews face compliance barriers, and brands without genuine customer love yet. We'll tell you honestly during the strategy call if we think this isn't a good fit. We'd rather be upfront than waste your money. Read our full limitations page.

How are reviewers compensated?

We use a mix model. Some reviewers are paid per published piece at fair market rates. 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.

Our Business Model — Transparent Review Advocacy

LLMRecommend operates as a transparent review and community marketing agency specializing in AI visibility. We amplify real product quality with real people — we don't manufacture trust.

• Verified Reviewer Network: We maintain a vetted network of domain experts who test products for 2+ days and share honest, disclosed opinions on platforms LLMs trust.
• Quality Filter: If a reviewer can't genuinely stand behind the product, the collaboration does not proceed. This protects both the reviewer's credibility and your brand.
• FTC & Platform Compliance: All sponsored content is disclosed per FTC endorsement guidelines and individual platform terms of service. We only work on platforms where paid reviews are allowed.
• 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.
• Honest Reviews: Reviews include pros, cons, and tradeoffs. We don't suppress criticism. That's what makes the signals credible and durable.

Disclaimer & Limitation of Liability

LLMRecommend provides transparent review and community marketing services designed to increase brand visibility on platforms referenced by AI language models. Our services use verified reviewers who test products and share honest, disclosed opinions.

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. 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.

Compliance & Disclosure: LLMRecommend operates in full compliance with FTC endorsement guidelines (16 CFR Part 255). All sponsored content is explicitly disclosed. Reviewers are required to provide honest opinions and disclose any material connection. Reviews may include criticism and tradeoffs — we do not suppress honest feedback.

Platform Compliance: We only operate on platforms where paid or sponsored reviews are allowed. We will never game a system or violate platform terms. LLMRecommend is not affiliated with or endorsed by LinkedIn, Quora, Medium, or any other third-party platform.

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.

Independent Contractors: Our reviewers operate as independent contractors. LLMRecommend facilitates connections between brands and authentic reviewers but does not control the specific opinions, language, or timing of individual posts. All opinions expressed are the reviewers' own.

Get Started

Real usage. Real opinion. Full disclosure. See if your brand qualifies for our transparent review method.

Visit llmrecommend.com to book a strategy call.

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? Community forums, 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: forums, review sites, LinkedIn.
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?

Timelines vary by category and competition level. In low-competition verticals, results can appear within weeks. In competitive categories, expect 2–4 months of sustained signal building.

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, community forums, 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 (LinkedIn, Quora, Medium, docs, community forums), 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 (community forums, 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