Recent research from SOCi.ai highlights a clear divide among restaurant chains: those that are expanding their footprints are also excelling in local digital marketing, while legacy brands that are closing locations fall short in online visibility.
Visibility scores reveal a widening gap
The study compared eight fast‑growing chains with eight contracting ones. Expanding brands posted an average Local Visibility Index (LVI) score of 62 out of 100, versus just 47 for the contracting group. The disparity appeared across every major discovery channel, including artificial‑intelligence (AI) assistants, traditional search, online reputation and social platforms.
AI recommendations favor the winners
With roughly 37 % of consumers beginning their restaurant searches using AI tools, presence in AI‑driven results is becoming increasingly important. The data shows expanding chains are recommended by ChatGPT in about 20 % of test queries, compared with roughly 3 % for contracting chains – a nearly seven‑fold difference. Similar gaps were observed with Google’s Gemini and Perplexity, and the expanding brands earned higher AI‑assigned sentiment scores across all three tools.
Nevertheless, AI recommendations remain difficult to secure. Only between 1 % and 11 % of brand locations appear in AI results, while 35.9 % show up in the traditional Google “3‑Pack.” The research suggests that AI systems rely heavily on trusted third‑party content, online discussions and a brand’s overall digital footprint, giving stronger local presences a clear advantage.
Traditional search still matters
Google processes an estimated 16.4 billion searches daily, and many consumers continue to rely on conventional search results. Chains that are easier to locate in local search and that maintain solid online reputations tend to experience the most physical expansion.
Review response and social engagement drive growth
One standout metric is review response. While star ratings accumulate over time, responding to reviews offers an immediate lever for marketers. Expanding brands are actively managing their reputations rather than passively monitoring feedback.
Social media performance also diverges sharply. Growing chains generate an average engagement rate of 3.45 % on local posts – roughly 26 times higher than the 0.13 % rate of contracting brands. They also maintain about five times the average local follower count.
The research indicates that volume alone does not explain the gap. Successful chains are creating locally resonant content rather than simply pushing a uniform corporate message to every location. Although 43.3 % of multi‑location brands still employ “waterfall posting” – sending the same post to every location page – locally tailored posts produce 71 times more engagement.
Practical steps for marketers
For marketers overseeing multi‑location restaurants, the findings suggest a few actionable strategies:
- Treat search accuracy, review response, local social content and AI discovery as an integrated system, not separate tasks.
- Prioritize local relevance in social posts, encouraging each location to share community‑specific updates.
- Monitor AI recommendation trends and work to improve signals such as third‑party citations and online discussions.
- Maintain a rapid response cadence for customer reviews to strengthen reputation scores.
While digital visibility alone cannot rescue a struggling chain, the pattern demonstrated by expanding brands in 2026 offers a useful benchmark for any multi‑location marketer seeking sustainable growth.
Original reporting: El Paso News (HLL/CB) — read the source article.
