This is part one of a two-part series on AI marketing. Part two is here.
Few restaurants have alphabet soup on the menu, but savvy owners and managers are exploring the hottest AI tools and strategies to learn their SEO’s, GEOs (generative engine optimization), and AIOs. While word-of-mouth and social media still count, it is short, searchable phrases that will ultimately get and keep restaurants and bars on the geographical and technological maps.
Even if a bar or restaurant features the best Old Fashioned, most authentic cacio e pepe pasta, or the buzziest rooftop, customers will only discover it if it turns up in their favorite search engine, ChatGPT or Gemini. Or, as Temecula, Calif.-based digital marketing agency 39Celsius reports, a good digital strategy is not just passively powered by “likes,” but by actively moving users from “discovery” (finding a restaurant) to direct ordering via owning the guest data so you don't lose 30 percent to third-party apps through SEO.
This year, the restaurant SEO strategy game has changed. It’s morphed into Local SEO, GEO, or AIO, strategy. According to tech professionals who use the technology on behalf of restaurant and bar clients, if your restaurant isn’t appearing in the “Local Pack” (the top three search map results) or being recommended by other users, you are invisible. Management and employees who have successfully embraced AI, meanwhile, the experience has been as enlightening and educational as it has been profitable.
Charlie Terry, founder of U.K.-based content creation marketing firm CEEK (which boasts an international client roster) recommends that restaurants and bars looking to enlarge their footprint need to be considering everything in relation to AI visibility for a restaurant. In the process, decision-makers need to be careful as AI looks across multiple sources when deciding what to show about a given restaurant brand, and there is no one size fits all approach since everyone's results are personalized. Furthermore, each AI model (or LLM) uses a different method for analyzing the market and competitors.
“Traditional SEO fundamentals remain vital, but if you are not being clear on your website about who you are and what you do, LLMs may struggle when they read your site,” he explained. “It is important to note that AI is still primarily reading sites rather than looking at picture heavy or video content. You also need to maintain a strong focus on reviews, as AI features information from places like TripAdvisor and forums such as Reddit. The best place to start is to search your restaurant in an AI tool of your choice and ask how it perceives you, why it thinks you are good or bad, and how you compare to other restaurants. By doing this, you can reverse engineer the citations the AI is using.”
Points on the Learning Curve
There are an increasing number of AI and related tools designed for operators and managers to get word out on popular search engines, particularly juggernauts like Google and Bing. Whether owners and decision-makers can go it alone or plan to hire outside companies, they need to understand what SEOs do, and what strategies are most applicable to their business.
“For small restaurants, ‘SEO’ used to mean hiring someone (to get word out) or ignoring it entirely,” said Daniel Mendoza, founder of PlanArmory, which uses AI to generate business plans for a variety of businesses. “AI tools now handle the foundational work most owners never get around to—writing a proper business description with the right keywords, identifying what customers search for in their area, and producing consistent content that keeps their online presence active. That strategic foundation did not exist before because nobody was going to pay a consultant thousands of dollars to write it for a food truck.”
Mendoza and other service providers with hospitality clients warn management and owners that AI and related technology is not a plug-and-play situation. “AI has a default tone that sounds like corporate copywriting,” he said. “Owners who maintain their identity are the ones who edit. A Caribbean catering business sounds completely different from a Wisconsin sports bar, but AI does not know that. The key is using AI for structure and efficiency, not for personality.”
Currently, most of Mendoza’s food and beverage clients are one- or two- person operations and that one of AI’s biggest influences is changing the starting point of related projects. “Our tool produces a content calendar with specific posts, a 90-day action plan with weekly tasks, and a full marketing strategy,” he said. “The owner spends 20 minutes personalizing instead of two hours creating from scratch. For someone working 12 hour days, that is the difference between marketing consistently and not marketing at all.”
CC&A Strategic Media CEO Steve Taormino uses a psychology and big-data formula with his hospitality clients. While he uses AI/automation to segment audiences and trigger promotions, he recognizes AI without human intervention misses emotional context, and can escalate a complaint. Building a brand’s ‘voice guardrail’ incorporating its values, do/don’t language, and authentic responses is the next step. Here, a “visited the private-dining page twice” segment will get a different offer from someone reading happy-hour content. The firm also runs ads for the clients targeting and retargeting that automatically follows prior interest (menus, events, reservations) with content matched to intent, instead of blasting the same promo to everyone.
“The learning curve is real, but it’s mostly measurement, picking three to five key performance indicators tied to revenue (reservations, calls, catering inquiries, repeat visits) and engineering them so you (can figure out and eliminate) what isn’t working as fast,” Taormino said. “Once that’s in place, AI helps SEO by keeping content fresh and structured around what guests actually search for locally, while your CRM data tells you which topics and offers convert to business instead of just getting views.”
Gianna Heron, founder of Herow Marketing, describes her business background as an amalgam of, “performance, creative direction, and Wall Street finance,” which makes AI a system that needs to be steered to suit a specific client. “We protect the clients’ brand voice, then use data to decide what gets scaled,” she explained. “The biggest ‘refine the voice’ win is training AI on a brand’s existing language in its menu descriptions, captions, reviews, and brand values, and turning that into a tight vocabulary list and do/don’t rules so every post still sounds like the same place.”
Customers will search for straight-forward things such as “last-minute dinner,” “happy hour near me,” “birthday dinner,” “game day,” and so on. Therefore, Heron uses the technology to develop ten caption angles for one promo, five flyer headlines, and anticipatory “what questions will guests ask?” lists tailored for different customer groups. She then picks one or two directions, rewrites them with an in-house tone, and pairs them with real media (on-site photo/video) so it stays relatable and doesn’t feel like “stock AI restaurant speak.”
“The learning curve is challenging if you treat AI like a magic wand, but easy if you treat it like an assistant with guardrails,” she said. “The key is a monthly reporting habit (transparent monthly data reports) so you can see what actually drives clicks, calls, direction requests, and bookings instead of letting it generate random ideas that dilute the brand. Next, you build simple content buckets around those moments and rotate them through socials and the website. After a full audit, we’ll map a restaurant’s weekly rhythm (slow nights, peak nights, special events) and use AI to produce timely collateral variations on a single theme so the team isn’t reinventing the wheel every week.”
Brand reputation should also be factored in, according to Matthew Purdom of Brand911, a full service brand reputation marketing agency focused on SEOs, online PR and content optimization. As Purdom was once a private investigator, he treats AI marketing like an investigation, stressing the importance of gathering relevant “evidence” (reviews, search queries, competitor SERPs) before publishing a clean, consistent story about the hospitality client on Google and other search engines where customers look.
“AI helps restaurants with speed and pattern recognition,” Purdom affirmed. “I’ll use it to cluster review language into themes (‘service speed,’ ‘happy hour,’ “gluten-free,’ ‘late-night’) and turn that into a tighter brand voice and content plan. I ‘FAQ’ blocks for voice search phrasing (‘where can I get takeout near me?’), menu-item pages, and short PR angles that match what people already say out loud.”
William DiAntonio, founder and CEO of Reputation911, founded in 2010 to help individuals and businesses restore, promote, and protect their online reputation and privacy, says that when his company optimizes local searches for hospitality clients, AI tools help rapidly identify keyword gaps between a client and their competitors. Following this, they can prioritize which of the clients’ pages need attention first. “Instead of blasting one message to everyone, (we are) serving different creative to ‘first-time visitors’ versus ‘regulars who haven't been in 60 days,’ and the relevance shows in engagement,” he said.
As the client’s identity question is the one DiAntonio takes most seriously, he insists the fix to the AI-generated “generic text” problem is for a restaurant or bar to treat its brand voice like a “technical spec” enabling a given document to be prompt foundation on every project. As this kind of competitor correlation analysis used to take days to do manually, it allows clients to focus on pinpointing client needs. On the retargeting side of the equation, he finds AI-assisted audience segmentation makes real difference for food and beverage clients running social ads.
Ben Lund, founder of the Rise Marketing Group in Dedham, Mass., believes restaurants will do better with fewer tools that create a more reliable system. For larger teams, AI’s biggest impact is prioritization, using data to decide which promos, audiences, and channels deserve the most attention. For small teams, AI can speed up the learning curve and achieve “time compression.” The team can begin with one goal (e.g., or “workflow” such as “promote happy hour”) and build a repeatable playbook from AI draft to human approvals to distribution.
“AI helps with SEO when it’s used to improve clarity, structure, and intent alignment,” said Lund, noting Bing’s guidance on using AI Performance insights specifically recommends strengthening depth and expertise, improving structure (headings/FAQs), supporting claims with evidence, and keeping content current, all which aide in winning local searches and avoiding misinformation. “SEO mastery” leads to more accurate location pages, updated menus and hours, strong review velocity, and content that answers “high-intent” queries (private events, catering, parking, dietary options) leading to more measurable calls, direction requests, booking clicks, and site conversions along with fewer negative reviews.
Acording to Lund, AI fails arise through inaccurate facts, off-brand tone, and compliance/reputation risk, and inadvertently publishing “truth instead of drafts leading to incorrect hours, missing blackout dates, wrong pricing, or hallucinated “special events.” This can be particularly damaging as errors can convert into negative feedback. Another pitfall is “review fraud” temptation, as the Federal Trade Commission’s AI-related enforcement and updates highlight that using AI to generate deceptive testimonials/reviews is a regulatory and reputational risk.
The AI’s Have It...When Used With Care
“The winning pattern is to feed AI real “brand constraints” (tone, banned phrases, how you describe your experience, neighborhood references, signature items) and use it to generate multiple variants that a human approves,” Lund said, stressing the importance of establishing consistency across channels. This protects identity while speeding production, (while) ‘cutting corners’ with AI content can hurt campaigns if you publish without judgment and context.”
Lund observes that the industry is moving toward first-party AI reporting, which matters because it makes AI-driven discovery measurable. Microsoft’s AI Performance reporting in Bing Webmaster Tools is a concrete example, as it reports total citations, grounding queries, and which pages are referenced in AI-generated answers. He also recommends leaning into AI-assisted paid social and creative optimization (e.g., Meta’s Advantage+ suite positioned as AI + automation for campaign performance), AI-assisted local content and listing management (especially menus/hours/photos), and AI-assisted reporting.
“For bars and restaurants, the safer approach is to improve the guest experience and request real reviews systematically and with human oversight before using AI to speed responses wrather than manufactured sentiment,” he advised. “Avoiding promotional misfires requires aligning AI outputs with authenticity.”
Heron and Perdom both said the most useful tool for this in practice is ChatGPT, but only for first-draft variants. Perdom advises clients to “keep it on rails with a house-style doc,” consisting of commonly-used words and five legit verified customer reviews that set the tone. He warns against allowing AI to reply to reviews, leave DMs (direct messages) unattended, or let it write promos without guardrails. The way to prevent backlash against “generic copy” is to get final approvals from team members and ensure the voice is consistent with a checklist with local references and staff/chef names when appropriate without fake urgency overly perfect tone.
“If you want quantifiable results, don’t chase vanity metrics,” he said, noting he tracks Google Business Profile actions, branded search lift, and whether a client is earning first-page real estate with content he or she can be proud of. “While the learning curve is real, the best shortcuts come from choosing tools by job: One for drafting (ChatGPT), one for design templates (Canva’s AI features), and one for visibility (Google Business Profile + Search Console). If you’re trying to pick what to automate first, automate the boring repurposing, but never the identity. Your best model is your own reviews and your own in-house language, not what AI thinks a restaurant should sound like.”
Strategic digital marketer Milton Brown said his approach is to combine “data-driven methodologies with advanced AI-based innovation.” Effective supercharging of bars and restaurant marketing comes from using AI to speed production, then using clean tracking (he does this via Google Tag Manager) to indicate what actually drives reservations, calls, online orders, and private-event leads. AI is most useful for content planning and consistency, but warns SEO wins only happen when the site and profiles are mobile-first and fast.
On brand voice, Brown secures a venue’s tone by building an ‘approved language bank’ such as signature phrases, do/don’t words, menu adjectives, and neighborhood references, and then prompts AI to write only within it. “The human step is non-negotiable,” he affirmed. “You edit (AI drafts) for slang, hospitality, warmth, and what your guests actually say at the bar…otherwise you get that generic ‘come join us for delicious bites,’ cringe. On ads, fliers, and demos, AI is best used to generate fast variations of ‘offer framing’ (i.e. happy hour vs late-night kitchen vs brunch) and pair that with objective targeting in paid social and search.”