How to Get Your Business Recommended by ChatGPT and Perplexity

A customer looking for a hair salon in Houston used to open Google and scroll the map pack. Today, a growing number of them type "best hair salon in Houston Galleria" into ChatGPT or ask Perplexity for a recommendation. If your business has no presence in those answers, you are invisible to an audience that is not going back to Google to look harder.

This is not a future problem. AI assistant usage for local recommendations is growing month over month, and the businesses that appear in those answers right now are building an advantage that will compound.

Here is how it works and what you can control.

How ChatGPT and Perplexity decide what to recommend

Unlike Google, which has a known ranking algorithm you can optimise against, AI assistants are large language models that generate responses from a combination of:

Training data — text from across the internet that the model was trained on, including review sites, directories, news coverage, and business websites
Real-time web search — both ChatGPT (with browsing enabled) and Perplexity actively crawl the web to supplement training data with current information
Cited sources — Perplexity in particular shows its sources, pulling from review platforms, local directories, and authoritative sites

The common thread: the more your business is mentioned, described accurately, and cited across high-quality sources, the more likely an AI assistant is to surface you.

This is fundamentally the same signal as traditional SEO authority — but the outputs look different. Instead of a ranking position, you get a recommendation in a sentence.

What you can control

1. Get on the sources AI assistants actually pull from

Yelp, TripAdvisor, Google Business Profile, Facebook, BBB, and industry-specific directories are all heavily indexed and frequently cited by AI assistants when answering local recommendation queries. A complete citations footprint is no longer just a Google Maps signal — it is training data.

If your business has a thin or inconsistent presence on these platforms, you are less likely to be mentioned by an AI and more likely to be described inaccurately when you are.

2. Build review volume on multiple platforms

AI assistants learn from review aggregations. A business with 200 reviews across Google, Yelp, and Facebook that consistently describe it the same way — the services offered, the quality, the location, the price point — builds a strong entity signal that models can reproduce confidently.

Perplexity's local answers frequently cite Yelp and Google reviews directly. If you have no reviews on Yelp, you are invisible to a significant portion of Perplexity's local recommendation logic.

3. Make your website answer the questions AI is asked

When ChatGPT browses the web to answer "best balayage salon Houston Galleria," it is looking for pages that directly answer that query. A service page titled "Balayage Houston Galleria — Hair Society Salon" with content that describes the service, the stylists, the process, and the location in clear, entity-rich language is more likely to be cited than a generic homepage.

FAQPage schema on pages that answer common pre-booking questions ("how long does balayage take," "do you do consultations") increases the probability that an AI assistant will pull from your page specifically.

4. Get mentioned on other authoritative sites

AI models are trained on the broader web. A mention in a Houston lifestyle blog, a "best salons in Houston" roundup article, or coverage in a local publication is training data. Every legitimate mention of your business name alongside your city and service category reinforces your entity in the models.

Local link building — press coverage, supplier directories, chamber of commerce listings, community sponsorships — is not just a Google ranking signal. It is how AI models learn that your business exists and is reputable.

5. Keep your business information consistent everywhere

AI assistants that give incorrect information — wrong phone number, closed location, outdated hours — quickly lose user trust. Google's research on entity understanding and similar work in NLP consistently shows that consistent, structured information across sources produces more confident model outputs.

NAP consistency (Name, Address, Phone) is as important for AI recommendation accuracy as it is for Google map pack rankings.

The honest timeline

Appearing in AI assistant recommendations is not an overnight result. It requires building the kind of web presence that AI models consider authoritative — reviews, citations, website content, and third-party mentions — over months. The businesses that start now will have a compounding advantage over those that wait until AI search is the obvious thing to optimise for.