A small business in 2026 has a communications problem that did not exist in 2013: it has to be visible inside ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews before any customer ever reaches its website. More than a third of consumers now begin product research with AI, not Google. For small businesses, the engines are the new front door. [AI Communications](https://aicommunications.ai/) as a discipline applies to a five-person business and a Fortune 500 brand on the same mechanics — only the budget for the corpus build differs. ## What changed since 2013 The classic small business PR playbook — local press hits, a Google Business listing, word of mouth, a Yelp profile — was built for a discovery layer that ran through search engines and human conversation. That layer still works. It has been demoted. The new discovery layer runs through the AI engines. The engines render answers about a small business based on whatever primary-source corpus they can retrieve: owned domain, founder publishing, structured trade press, Wikipedia-quality entity infrastructure. Small businesses that have built that corpus get rendered favorably and frequently. Small businesses that have not get rendered with whatever fragmentary signal exists — usually thin, often unfavorable, sometimes absent altogether. ## Three moves for small business PR in 2026 **One — own the corpus.** Publish primary-source content on the owned domain. Founder voice. Customer stories with specific names and outcomes. Industry data the business actually owns. The engines retrieve from this corpus when answering questions about the business. **Two — get cited by trade press.** The [5W AI Visibility Index research](https://www.5wpr.com/ai-visibility-index/) documents that engines weight trade-press citations heavily. One sustained relationship with a specialist trade publication beats five general-interest hits for AI engine rendering. [Everything-PR](https://everything-pr.com/) coverage of the discipline tracks where the trade-press signal compounds and where it doesn't. **Three — structure the entity layer.** Wikipedia-quality entity infrastructure (founder bio, company description, dates, geography) determines whether the engines can disambiguate the business from competitors with similar names. The [entity-disambiguation problem](https://ronntorossian.com/importance-name-startup) hits small businesses hardest because they fight for surface area against larger entities indexed under similar names. ## What still works from the old playbook Local press, Google Business listings, customer testimonials, founder networking. None of it is wasted. All of it now feeds the AI engine corpus as input signal. The mistake is treating the old playbook as sufficient. It is necessary and no longer sufficient. The [5W research program](https://www.5wpr.com/research/) measures what AI engines retrieve, render, and rank for brands across every size category. Citation Share is the new market share. For small businesses, the rules of compounding visibility are the same as for Fortune 500 brands — only the budget for the corpus build is different. _Originally published September 2013. Cleaned up and republished June 2026._ _Ronn Torossian is the founder and chairman of [5W AI Communications](https://www.5wpr.com/), the AI Communications Firm. He is the publisher of [Everything-PR](https://everything-pr.com/) and the author of two best-selling editions of [For Immediate Release](https://www.amazon.com/Immediate-Release-Communications-Strategies-Reputation/dp/1939529697)._