Get Your Store 'Seen by AI' in 90 Days: A GEO Playbook for Local Businesses

Hi everyone, this is Neo.

Lately I’ve been watching a really interesting trend that a lot of people running local businesses or brick-and-mortar stores may not have noticed yet: your customers may no longer be “searching” for you — they’re being “recommended” to you by AI.

In the past, a consumer looking for a coffee shop would search Google for “coffee shops near me,” scan the list, compare prices, check ratings, and then decide where to go. The journey was: search → compare → decide.

But now, with AI agents like ChatGPT and Gemini going mainstream, that path is becoming: intent → AI agent → action.

For example, a user just asks the AI: “Recommend a coffee shop that’s good for working, quiet, and has oat milk lattes.” The AI hands back one or two “best answers” — not ten links to sort through yourself.

If your store isn’t “chosen” by AI, you’re effectively invisible in this new world. That’s what’s called “Silent Exclusion.”

Recently, Uberall’s CTO Ana Martinez shared a “90-day GEO (Generative Engine Optimization) action plan” built specifically for multi-location brands adapting to AI search. I found the framework incredibly valuable, so today I’m breaking it down with my own take — hoping it sparks some ideas for anyone running physical businesses overseas, or even brand DTC stores.

Why Does AI “Ignore” Your Store?

First, we need to understand that AI agents and traditional search engines (SEO) have completely different tastes.

  • What SEO cares about: keyword matching, backlinks, click-through rate.
  • What AI agents care about: confidence signals.

AI behaves like an extremely meticulous assistant. If the information online is inconsistent — say your official site says you open at 10am, Google Maps says 9am, and Yelp says you’re permanently closed — AI will, to avoid “taking the blame,” simply deem your information “untrustworthy” and kick you out of its recommendations.

According to statistics, 68% of local businesses show incorrect information in AI results, or don’t show up at all, because of missing or conflicting data.

To fix this, we need a 90-day “AI readiness” plan.

The 90-Day GEO Roadmap

The plan has three phases, 30 days each, step by step.

Phase 1 (Days 1–30): Foundation — Data Consistency & the “Trust Layer”

Core mission: make AI confident enough to cite you.

Recommendation runs on “trust.” In month one, you don’t need flashy content — you need exactly one thing: data hygiene.

  1. NAP consistency audit: Make sure your Name, Address, and Phone are identical across your website, GMB (Google Business Profile), social media, and industry directories. Even a single punctuation difference can throw off AI’s judgment.
  2. Schema markup: This is AI’s “native language.” Your store page must carry LocalBusiness schema code that tells AI explicitly: who I am, where I am, what I sell, and what my hours are.
  3. Fill the information vacuum: AI hates “unknown.” If you never mention whether you’re wheelchair accessible, AI may assume you’re not — or just ignore you. Fill in every attribute you possibly can.

Neo’s take:

Many owners think fixing an address or phone number is trivial, but in AI’s eyes, that’s your “identity ID.” If your identity doesn’t line up, how can AI risk recommending you to its master? This applies to cross-border B2B folks too: are your company details consistent across LinkedIn, your website, and Crunchbase?

Phase 2 (Days 31–60): Content Context & the “Meaning Layer”

Core mission: make AI understand WHO you’re a good fit for.

Once your data is aligned, AI knows you “exist.” Next, you need AI to know what you’re “good at” and which “scenarios” you fit.

  1. Generative content layout: Create unique FAQs for each location. Don’t just write “we sell coffee” — write “our space is great for remote work, with high-speed WiFi and plenty of outlets.” This is exactly the kind of “long-tail intent” users throw at AI.
  2. Review management and engagement: AI reads reviews to gauge your sentiment. Reply to reviews actively, and weave business keywords into your replies (like “glad you enjoyed our Ethiopian pour-over”) — that’s essentially feeding AI more source material.
  3. Localized pages: Don’t make every location share one page. Each store needs its own landing page with local flavor descriptions and landmark references.

Neo’s take:

AI search is essentially Q&A. The more your page content reads like “an answer,” the more likely AI is to pick it up. Try changing a page title from “About Us” to “Why XX is the top choice whether you’re closing a business deal or hanging out with friends” — question-oriented content is more to AI’s taste.

Phase 3 (Days 61–90): Omnichannel Distribution & the “Visibility Layer”

Core mission: make AI able to see you everywhere.

By month three, you want to amplify the results of the first two months and make sure the major AI models (GPT-4, Gemini, Claude, Perplexity) can all pull your information through different channels.

  1. Omnichannel distribution: Don’t stop at Google — sync your optimized info to Apple Maps, Bing, Facebook, Instagram, and vertical directories. AI agents pull from multiple sources; every extra touchpoint is an extra point of leverage.
  2. Monitor AI visibility: Start using tools (like the GEO Studio Uberall mentioned, or other monitoring tools) to test: search “best XX near me” in ChatGPT — do you show up? If not, what reason does AI give? Bad reviews, or too far away?
  3. Build a feedback loop: Adjust your FAQs and descriptions based on AI’s feedback. If AI thinks your “prices are on the high side,”

Neo’s take:

This step is really about “staking your turf.” In the AI world, winner-takes-all is even more pronounced than in Google search. Google’s first page has 10 results; ChatGPT usually gives just 1–3 recommendations. If you’re not in the top three, you might as well be zero.

Summary

In the AI search era, “credibility” is traffic.

This 90-day plan is essentially a journey from “data standardization” to “content contextualization” to “distribution at scale.”

For those of us running DTC stores and overseas operations — sure, we may not have thousands of locations, but the logic is universal:

  1. Unify your identity (build trust).
  2. Make content answer questions (match intent).
  3. Expand your channels (add touchpoints).

Don’t wait until AI has already learned all about your competitors before you make a move.

Hope this overview helps. If you have specific questions about GEO (Generative Engine Optimization), feel free to leave a comment and let’s discuss.

References: Search Engine Journal, Uberall Webinar “Local GEO & AI Search”