| <H1> LLM Recommend — Community Consensus That Makes AI Recommend Your Brand </H1> |
| <H2> We Only Work With Brands That Have Real Proof of Customer Love </H2> |
| <H2> Real People. Real Product Testing. Real Public Signal. </H2> |
| <H2> The Quality Filter That Makes This Work </H2> |
| <H2> A Healthier Model for AI Visibility </H2> |
| <H2> How It Works — 5 Steps </H2> |
| <H2> You Only Pay When Writers Confirm They Want to Publish </H2> |
| <H2> We Only Work on Platforms Where Paid Reviews Are Allowed </H2> |
| <H2> What Makes This Different </H2> |
| <H2> Why This Works </H2> |
| <H2> What Real Opinions Look Like </H2> |
| <H2> We Don't Manufacture Trust. We Help Real Product Quality Become More Visible. </H2> |
| <H2> You Don't Have a Quality Problem — You Have a Visibility Problem </H2> |
| <H2> Signal Trust Hierarchy </H2> |
| <H2> Key Stats </H2> |
| <H2> Independent Analysis </H2> |
| <H2> Our Transparency Policy — Honest, Disclosed & Platform-Compliant </H2> |
| <H2> Plans </H2> |
| <H2> Client Outcomes </H2> |
| <H2> Honest Answers to Hard Questions — FAQ </H2> |
| <H2> Our Business Model — Transparent Review Advocacy </H2> |
| <H2> Disclaimer & Limitation of Liability </H2> |
| <H2> Get Started </H2> |
| <H2> The Team Behind Your AI Visibility </H2> |
| <H2> What Is AI SEO? </H2> |
| <H2> ChatGPT Visibility for SaaS </H2> |
| <H2> Perplexity Visibility for SaaS </H2> |
| <H2> AI SEO for SaaS </H2> |
| <H2> Free AI Visibility Audit </H2> |
| <H2> LLM Visibility Scorecard </H2> |
| <H2> LLM Visibility Insights — Blog </H2> |
| <H2> How Notion Dominates AI Recommendations — A Signal Breakdown </H2> |
| <H2> Why ChatGPT Always Recommends Stripe </H2> |
| <H2> How Figma Became the Default AI Answer for Design Tools </H2> |
| <H2> How Zoom Owns 'Video Conferencing' in Every AI Answer </H2> |
| <H2> Why HubSpot Dominates AI Recommendations for Marketing Software </H2> |
| <H2> Why Slack Is Losing to Discord in AI Recommendations </H2> |
| <H2> How to Get Listed in AI Recommendations </H2> |
| <H2> How to Appear in ChatGPT Answers </H2> |
| <H2> LLM SEO vs Traditional SEO: Key Differences </H2> |
| <H2> Why AI Recommends Your Competitors Instead of You </H2> |
| <H2> Why Synthetic Reviews Backfire in the LLM Era </H2> |
| <H2> The AI Visibility Ladder: From Invisible to Default </H2> |
| <H2> Terms of Service — LLMRecommend </H2> |
| <H3> Verified Reviewers </H3> |
| <H3> Real Product Testing (2+ Days Minimum) </H3> |
| <H3> Full Disclosure — Always </H3> |
| <H3> Step 1 — Product Fit Check </H3> |
| <H3> Step 2 — People Try Your Product </H3> |
| <H3> Step 3 — They Use It for 2+ Days </H3> |
| <H3> Step 4 — They Write — In Their Own Voice </H3> |
| <H3> Step 5 — Published With a Simple Tag </H3> |
| <H3> Platforms We Cover </H3> |
| <H3> Old Agency Playbook (What We Don't Do) </H3> |
| <H3> Our Method </H3> |
| <H3> LinkedIn Example </H3> |
| <H3> Quora Example </H3> |
| <H3> Medium / Substack Example </H3> |
| <H3> X / Twitter Example </H3> |
| <H3> Is This For You? </H3> |
| <H3> David Morales Weaver — CEO & Co-Founder </H3> |
| <H3> Gopal Krishnan — CMO </H3> |
| <H3> Sandra Oviedo Willman — Director of Partnerships & BD </H3> |
| <H3> Dave Stewart — Business Intelligence </H3> |
| <H3> Why AI SEO Exists Now </H3> |
| <H3> AI SEO vs Traditional SEO </H3> |
| <H3> How LLMs Decide What to Recommend </H3> |
| <H3> The 5 Levers That Move AI Recommendations </H3> |
| <H3> What to Do First (7-Day Plan) </H3> |
| <H3> AI SEO FAQ </H3> |
| <H3> How It Works </H3> |
| <H3> ChatGPT Visibility FAQ </H3> |
| <H3> How It Works </H3> |
| <H3> Perplexity Visibility FAQ </H3> |
| <H3> How It Works </H3> |
| <H3> AI SEO for SaaS FAQ </H3> |
| <H3> What You Get </H3> |
| <H3> What's Inside </H3> |
| <H3> Key Signals </H3> |
| <H3> Key Signals </H3> |
| <H3> Key Signals </H3> |
| <H3> Key Signals </H3> |
| <H3> Key Signals </H3> |
| <H3> Key Signals </H3> |
| <H3> Why AI Recommends Certain Brands </H3> |
| <H3> The Playbook </H3> |
Social
Social Data
Cost and overhead previously rendered this semi-public form of communication unfeasible.
But advances in social networking technology from 2004-2010 has made broader concepts of sharing possible.