What Searching for "The Best Restaurant in Providence" Tells You About Search Everywhere Optimization
And why SEO isn't dead, AI isn't where most consumer search actually happens, and why the smart play is being visible across all of it.
Some terms in this article (SEvO, AIO, Map Pack, GBP, NAP, schema, query fan-out) may be unfamiliar. There's a plain-English glossary at the bottom of the post if you want to reference it as you read.
If you run a small business and you've been told you need to "do AI" - or that SEO is dead, or that ChatGPT is the new Google - I want to show you something instead of telling you about it.
Last week, I sat down logged out of every account and ran the same three searches across Google (default and the new AI Mode tab), Bing, ChatGPT, Gemini, and Claude.
"Best restaurant in Rhode Island"
"Best restaurant in Providence"
"Best Italian restaurant open now in Providence"
What came back was expected (by me), but probably not what most marketing articles you’re reading describe. The lists barely overlapped. Two of the AI tools didn't seem to know what day it was. One refused to answer a simple "open now" question. And one major AI assistant wouldn't talk to me at all without an account.
That's the world your customers are searching in right now. Different platforms, different answers, different rules. The phrase "Search Everywhere Optimization" gets tossed around in marketing circles without much weight behind it. After this experiment, it's the only honest way to describe what works.
Let me walk you through this...
The Experiment: Five Prompts, Five Different Results
I had planned to test five engines. However, I ended up testing six surfaces because Google now has two distinct ones (Default Search and the new AI Mode tab) that behave very differently. One of the five engines, Claude, was removed because it required an active account, which created friction, especially for mobile users. However, some information is still provided on how Claude works, so read on.
The Claude Problem (Before We Get Started)
The first finding came before I typed a query. Claude.ai now requires a login. There's no anonymous chat, no guest mode, no "try it" path. Every link routed me to a sign-up page. The marketing site shows an animated demo pretending to be a chat, but there's no working chat behind it.
For a small business owner, that matters more than it sounds. If your customer doesn't have a Claude account, they don't get a different answer about your business. The door is closed. I'll come back to what that means for strategy.
The other five surfaces all answered. Here's what each one did.
Query 1: "Best restaurant in Rhode Island"
A research query. Broad, no urgency, the kind of search someone runs while planning a weekend.
Default Google Search showed no AI Overview. That alone is worth pausing on, because most coverage of AI search assumes Google is putting an AI summary on every page. It isn't. The page led with a Map Pack of three pins (Hemenway's, Gracie's, Cassarino's), a "Discussions and Forums" block dominated by Reddit threads, and organic blue links full of regional editorial: GoLocalProv, Yankee Magazine, Travel + Leisure, Tripadvisor. Three of the top ten organic results were Reddit. For a query this broad, Google is treating community discussion as the most useful answer.
Google AI Mode was a completely different experience on the same query. Same Google, same logged-out browser, totally different output. AI Mode returned a structured chat-style answer with three categorized sections (fine dining, seafood, local favorites), an embedded map, and live open/closed status on every restaurant. Ten places named: Gracie's, Oberlin, Persimmon, Al Forno, Matunuck Oyster Bar, The Nordic, Hemenway's, Los Andes, Gift Horse, and Olneyville New York System. Sources cited included Rhode Island Monthly, Tripadvisor, Reddit, Food Travelist, and a personal travel blog. AI Mode also offered a follow-up prompt asking what cuisine or occasion I had in mind. This is what most people picture when they hear "AI search," and it's already inside Google. Most marketers I talk to haven't tested it.
Quick note on the listicle question, because it comes up constantly with small business clients. A listicle is a "Top 10 Best _" article. Following Google's December 2025 and February 2026 updates, self-promotional listicles took a beating, with documented organic traffic drops of 29 to 49 percent on sites built around them (ALM CorpALM Corp). Independent editorial listicles from publications still rank well. The lesson: paying for press in a respected outlet is more valuable than ever. Publishing your own "we ranked ourselves #1" piece is a fast track to losing visibility.
Bing opened with a Microsoft Copilot AI panel above the organic results. Six restaurants in the panel: Pho Horn's, Hemenway's, Spain Restaurant, Cork and Rye, Bristol Sunset Cafe, Brick Alley Pub. The blue links underneath leaned hard on Tripadvisor, Yelp, and OpenTable.
ChatGPT answered without using web search at all. No browsing, no citations, no source list. Just a confident conversational list of eight restaurants pulled from training data: Olea, Al Forno, Matunuck Oyster Bar, Gracie's, Red Door, Hemenway's, Bouchard, Nick's on Broadway. That's worth sitting with. The default ChatGPT behavior on a broad recommendation query is still pattern-matching from old training data, presented as if it were freshly researched. Two people asking the same question can get reordered or different lists.
Gemini did the opposite. It used Google Search grounding and returned six restaurants with live citations: Aurelia at Castle Hill, Oberlin, Coast at Ocean House, Nick's on Broadway, Giusto, Loma. Four of those are 2026 James Beard semifinalists (Rhode Island Monthly, GoLocalProv) and Aurelia is a Forbes 5-Star room (What's Up Newp). Gemini's list and ChatGPT's list overlapped on exactly one restaurant: Nick's on Broadway.
Five surfaces that answered. Five different lists. One overlap between the two AI assistants. And Claude refused to play.
Query 2: "Best restaurant in Providence"
I expected narrowing the geography to tighten the agreement. It didn't.
Default Google again showed no AI Overview. Map Pack of three pins, heavy Reddit-dominated discussion block, and a mix of regional editorial and aggregator sites in the organic results.
Google AI Mode returned a longer, more nuanced list (12 restaurants across three sections) with a note about Federal Hill's Italian district and Providence's award-winning chefs. Lineup: Gracie's, Oberlin, Al Forno, Hemenway's, Los Andes, Dolores, Gift Horse, Camille's, The Patio on Broadway, Dune Brothers Seafood, East Side Pockets, Olneyville New York System. AI Mode offered a smart follow-up: "a special occasion, or a specific neighborhood like Federal Hill or the East Side?" That's probably closer to how a human would narrow this question.
Bing's Copilot ran again with a different cast: Hemenway's, East Side Pockets, Julian's, Massimo, Los Andes, NAMI. East Side Pockets is a casual lunch spot, NAMI is sushi, Massimo is Federal Hill Italian. Not a curated "best of" - more an aggregation of well-reviewed places across categories.
ChatGPT again answered from training data with no web search. Seven restaurants: Al Forno, Capital Grille, Gracie's, Union Station Brewery, Birch, Olea, Hemenway's. Capital Grille is a national chain. Union Station Brewery is a tourist brewpub. Their inclusion alongside Birch and Gracie's tells you ChatGPT is weighting how often a place gets mentioned, not whether local food critics actually rate it.
Gemini grounded in Google Search and returned a list anchored almost entirely on awards: Gift Horse, Oberlin, Nick's on Broadway, Gracie's, Claudine, Camille's, Bacaro, Loma. Five of those are 2026 James Beard semifinalists. Gift Horse is the room where chef Sky Kim picked up a 2025 Best Chef Northeast nomination.
The overlap between ChatGPT and Gemini on the same Providence question: one name, Gracie's. Out of roughly eight restaurants on each list. If your business is being asked about across multiple AI tools and you only show up in one, you're effectively invisible to most of the customers using the other.
A quick note on Reddit, because the conventional advice is shifting. Reddit was the most-cited source across major AI platforms through most of 2025. Between October 2025 and January 2026, its overall AI citation share dropped roughly 50%, from about 2.02% to 1.01% across LLM responses (Conductor). But during the same window, the percentage of AI responses where Reddit was the only cited source grew 31%. Reddit didn't lose AI relevance. It got repositioned. It's now a high-intensity authority for specific question types: "is it worth it," "X versus Y," "what really happened when you tried this." Google's heavy use of Reddit in the discussions block on local recommendation queries says the same thing. The era of Reddit as a universal AI citation is winding down. The era of Reddit as the trusted local-experience source is very much alive.
Query 3: "Best Italian restaurant open now in Providence"
Add "open now" and the platforms split into two camps: the ones that knew what day it was, and the ones that didn't.
Default Google abandoned editorial entirely. The Map Pack took over with hours, distance, ratings, and a "Directions" button. The three pins were not the Federal Hill heavyweights I expected. Google served Roma Ristorante, Italian Corner in East Providence, and Zeneida, ranked by current open status and proximity, not by review volume. No AI Overview. Transactional intent gets transactional answers.
Google AI Mode is where the experiment got most interesting on the Google side. AI Mode opened with: "While iconic landmarks like Al Forno and Camille's are closed on Mondays, the following high-rated establishments are serving guests today." Then it named Massimo, Pane e Vino, Cassarino's, Andino's, Capriccio, Roma, Angelo's, Cafe Italia, and Oberlin. For each one, it displayed live status and timing pulled from Google Business Profile data: Roma "Closes 6 PM," Cafe Italia "Closes 1 AM." Angelo's was correctly flagged as "Opens 11:30 AM Wed" because Angelo's is closed Monday and Tuesday. AI Mode even surfaced Massimo's specific Monday wine-and-dinner promotion ($34, three courses) right inside the answer. Sources cited each restaurant's website plus Tripadvisor and OpenTable. This was the cleanest live-data performance of any AI surface I tested, and it sits inside Google.
Bing's Copilot returned a more conventional Federal Hill list: Massimo, Andino's, Cassarino's, Pane e Vino, Camille's, Bacaro. Six classic Italian rooms. The trouble was, Bing didn't surface live hours alongside the recommendations. The "open now" qualifier got partially ignored.
ChatGPT hit a wall I want to quote verbatim, because it tells the whole story: "I can't check real-time info like current hours." It then recommended Google Maps and Yelp for that question and listed Federal Hill classics with a clear disclaimer that hours could not be verified. Honest, useful, and a frank admission that the most-talked-about AI assistant in the world is not the right tool for time-sensitive local questions. For a small business owner, that's free intelligence: the AI getting all the marketing attention is openly telling its users to leave the chat for the actual decision.
Gemini matched Google AI Mode's date awareness, which makes sense because both ride on Google Search grounding. The model correctly identified the date as Monday, May 4, 2026, excluded Angelo's Civita Farnese because Angelo's is closed Mondays, and provided live hours for Massimo, Camille's, Al Forno, and Cassarino's. The Gemini list and the Google AI Mode list overlapped heavily.
The pattern is sharp, the more specific and urgent the query, the more decisively the Google ecosystem wins. Default Google Search, Google AI Mode, and Gemini all treated "open now" as a hard filter. Bing's Copilot ignored it. ChatGPT openly stepped aside. And Claude wouldn't open the door.
This is the part most coverage of AI search misses. The headline is "AI is replacing Google." The reality on a transactional local query in 2026 is that the AI surface that handled the question best is also a Google product. Three of the strongest performances on real-time local intent (default Search, AI Mode, Gemini) all came from inside Google's ecosystem.
There's a deeper trap hiding in the word "best" that's worth naming. Inside any search engine or AI model, "best" is shorthand for most documented - the place with the highest volume of online content, the most reviews, the longest history of editorial coverage, the deepest pile of user-generated content. It is not shorthand for most worth visiting.
That distinction matters. A restaurant that opened six months ago, run by a chef with twenty years of experience and the best handmade pasta in the state, will lose to a fifteen-year-old place with thinner food and a thicker digital footprint. The new restaurant doesn't have the Reddit threads, the Yelp review volume, or the editorial coverage yet. So it doesn't exist to the algorithm or the AI. The query "best Italian restaurant in Providence" quietly translates, inside both Google and ChatGPT, to "most established Italian restaurant in Providence with the most online content about it." That's a different question than the one the searcher asked.
For a business owner, this is what I've called the broken-spoke problem. Discovery, validation, and trust all flow through the same hub of online presence. If any spoke is missing - no Bing index, no Reddit mention, no Tripadvisor reviews, no editorial coverage, no schema, no citations - the AI's wheel doesn't turn for you. Even when your offering is genuinely the best, the prompt can't reach you. I unpacked the full mechanics in Connecting the Spokes: Why AI Needs SEO to Find You.
What the Data Actually Says About How US Search Has Changed
The headlines are oversold. Here are the numbers that hold up.
Google still dominates. As of early 2026, Google holds roughly 84% of US search engine market share across all devices (StatCounter). The most rigorous independent data on actual user behavior comes from Datos and SparkToro's quarterly State of Search reports, built on clickstream data from millions of real US users. Their Q4 2025 numbers showed Google accounting for roughly 74% of searches on major desktop sites, traditional search engines as a group around 80%, commerce sites about 10%, social platforms 5.5%, and AI tools just 3.2% of all searches (SparkToro).
That last number is worth sitting with. Despite the AI search headlines, AI tools accounted for roughly 3% of US search activity in late 2025. Growing fast, but nowhere near the replacement most coverage implies.
The volume gap stays enormous. Google processes around 13.7 billion searches per day. ChatGPT handles about 2.5 billion prompts per day, but only roughly 65% of those are search-like queries. And Google sends 190 times more traffic to websites than ChatGPT does, because conversational AI answers questions inside the chat instead of routing users out (Ahrefs).
Different query types favor different platforms. Quick definitions for these terms:
Navigational queries are when someone searches for a specific website ("Bank of America login").
Transactional queries are when someone is ready to act ("buy noise canceling headphones").
Informational queries are research-style ("how does compound interest work").
Generative or creative queries ask the tool to produce something original ("write me a poem about my dog").
Google handles 93% of navigational, 90% of transactional, and 71% of informational queries in the US. ChatGPT only leads in one category: generative and creative tasks at 64% share, which aren't really "search" in the sense businesses care about (First Page Sage).
So is "AI is where consumer search happens now" true? Not exactly. The honest version is more nuanced.
What Consumers Are Actually Doing
For local business discovery, AI is gaining ground fast even though overall search numbers stay tilted toward Google. The Datos/SparkToro data shows AI tool adoption growing each quarter, mostly during research and comparison stages. The buyer journey didn't move entirely to AI. It expanded to include AI as a first stop, with traditional search still doing the verification work. The 2026 AI + Search Behavior Study from Eight Oh Two reported 37% of consumers now start with AI but 85% still verify on traditional search (Eight Oh Two).
If you only show up in one place, you lose at the other end of that journey.
What B2B Buyers Are Doing
Business buyers spend more time in research mode, verify across more sources, and weight LinkedIn and industry publications heavily. LinkedIn is one of the fastest-growing AI-cited sources, jumping from #11 to #5 in ChatGPT citations between November 2025 and February 2026 (Mentio).
A typical B2B journey now: ask AI for a shortlist, verify each name on LinkedIn, search Google for case studies and reviews, visit the website, and only then take a meeting. A B2B brand invisible at any one of those steps gets eliminated silently before a sales conversation ever happens.
How AI Actually Finds Information (And How SEO Powers It)
This is the part most small business owners have been quietly trying to figure out. Here's what's going on under the hood, why the cost to your buyers matters, and why SEO and AI optimization can't be done as competing investments.
The Cognitive Shift Most People Aren't Talking About
Before AI search, the searcher had to do real work. You'd type a query, scan ten blue links, dismiss the obvious junk, click into two or three credible sources, compare them, and form your own conclusion. The criteria for "is this a good answer" lived inside your head. You decided what mattered.
AI search hands that work to the model.
When ChatGPT or Gemini gives you "the best Italian restaurant in Providence," it has already done your evaluation. It picked the criteria, weighted the sources, dismissed the outliers, and packaged a confident-sounding answer. Unless you steer the criteria upfront ("rate based on freshness of pasta dough, value-per-plate, and reviews from the last 90 days"), the AI defines the rubric. You get a polished response that feels like deep research, even when the underlying logic is a black box.
The cost of this is subtle. When you skip the work of qualifying answers yourself, you accept tradeoffs you didn't even know were made. The restaurant ChatGPT didn't mention is now invisible to you. You've been short-listed by a model that may not share your priorities, and you don't know what got cut.
For businesses, this is the deepest reason Search Everywhere Optimization matters. AI doesn't just summarize the web. It curates which businesses make it into a buyer's mental shortlist before the buyer even knows they were shortlisting.
The Mechanics: How AI Actually Finds Things
Here's the part most marketing articles skip. It directly answers the question I keep hearing from small business owners: "If everyone is using AI now, do I still need SEO?"
When ChatGPT, Gemini, Perplexity, or Claude needs information that isn't in its training data (which is most current information, anything local, anything time-sensitive), the model does something called query fan-out. The user asks one question. The AI silently rewrites it into five to ten related sub-questions, runs them in parallel against an external search engine, retrieves the top results, and synthesizes an answer (Search Engine Land).
The critical detail is which search engine each AI uses behind the scenes. Most consultants skip this and most businesses underestimate it.
ChatGPT primarily uses Bing's index for live web retrieval. Around 87% of ChatGPT Search citations match Bing's top 10 results (Stackmatix).
Perplexity uses Bing's index plus its own crawler. One detail that confuses people: Perplexity Pro lets users switch the answer-generation model between Sonar, GPT-5, Claude Sonnet, and Gemini, but the search backend stays the same. Picking Claude inside Perplexity does not route the search through Brave. Picking Gemini does not route through Google. The model only changes who writes the response, not who searches the web (Perplexity Help Center, HyperLinker).
Gemini uses Google's index through grounding (Google AI Documentation).
Google AI Overviews and Google AI Mode both use Google's index. They lean on Wikipedia, established editorial sources, Reddit (especially for experience-driven queries), and the businesses' own websites for transactional local searches. AI Mode is the newer chat-style surface inside Google Search and behaves more like Gemini than the classic results page.
Claude uses Brave Search as its web search backend, not Bing or Google (Brave / Anthropic integration). Brave is the fastest-growing AI-aligned search engine and most businesses haven't even heard of optimizing for it. That's a real competitive opening for the ones that do.
Read that list carefully. Every major AI assistant fans out into a traditional search index to find live information. If your business doesn't rank well in Bing, Google, or Brave, you're invisible to the AI when those background searches fire. AI didn't replace SEO. It added a hidden layer on top of it. I covered the mechanics in more detail in Connecting the Spokes: Why AI Needs SEO to Find You.
The practical implication for your business: optimizing for Bing is no longer optional, optimizing for Brave is a quiet emerging requirement, and Google work still matters because Gemini and AI Mode ride on top of it. A business that only optimizes for Google is leaving entire AI ecosystems unguarded.
What Happens If You Do Nothing
The "wait and see" instinct is understandable. It's also expensive.
Is SEO Dead?
No. But it has changed shape, and pretending otherwise is a fast way to lose ground.
Click-through rates on Google have collapsed for queries that trigger an AI Overview. Seer Interactive's analysis of 25 million impressions found organic CTR on AIO queries fell 61% between June 2024 and September 2025, dropping from 1.76% to 0.61% (Seer Interactive). Even queries without AI Overviews lost 41% of their CTR over the same period.
That doesn't mean SEO is dead. The definition of winning changed from clicks to citations. When you're cited inside an AI Overview, you actually get 35% more organic clicks and 91% more paid clicks than when you're not cited at all. The brands that show up inside the AI answer keep most of their traffic. The ones that used to rank #2 and now sit below the AI fold lose almost everything.
SEO didn't die. It got compressed. The first slot still wins big. Slots two through ten are increasingly worthless. Earning slot one now looks like classical PR and authority-building (getting cited in trusted publications, building a clear identity, structuring your content for AI synthesis) combined with classical SEO fundamentals.
Meanwhile, the most important point gets lost in the AI hype: "near me" mobile searches grew over 500% in the past two years, and roughly 80% of mobile searches have local intent (Map Labs). Google Business Profile, local schema, NAP consistency, and review velocity are more important than they were five years ago, not less. AI assistants haven't touched local proximity search in any meaningful way, and they're unlikely to anytime soon. I dug into how this plays for Rhode Island businesses specifically in Why Your Website's SEO and AIO Strategy Matters in Rhode Island.
The Cost of Inaction
Here's the part most "wait and see" businesses don't want to hear.
A widely cited SearchPilot study examined what happens when established websites pause SEO activity without making other significant changes. The result was consistent across industries. Traffic didn't hold flat. It declined 10-20% year over year, compounding annually.
Run the math on your own business. A site that hasn't seen meaningful content updates and search-ecosystem alignment in the past two years has likely lost around 30% of its organic traffic, with another 12.5% compounding decline expected each year the silence continues. The decline rarely shows up as a dramatic single-month drop. It shows up as a few fewer qualified visits, fewer leads, and growing pressure on paid channels to make up the gap.
Doing nothing is not a neutral decision. In digital marketing, inaction has a measurable cost. I covered the full breakdown in The Slow Decay of Inactive SEO.
The businesses telling themselves "let's wait and see how AI shakes out" aren't actually pausing. They're losing ground on every search surface at once, including the AI surfaces they're claiming to wait for.
The Search Everywhere Optimization Playbook
Now the practical part. What follows is what tilts the table on each platform, plus how to think about your investment hierarchy.
What Actually Wins, Engine by Engine
Quick caveat. There are thousands of ranking and citation signals across these platforms. I'm distilling them down to the levers that move the needle most. This is a starting framework, not a complete checklist. And one assumption I won't make: that your business has Google Analytics installed and conversion paths working properly. Most don't, and you can't optimize what you can't measure. If your tracking is broken, fix that before any of this.
Common foundations that matter on every platform:
Technical SEO done well. Clean site architecture, fast load times, mobile usability, working internal links, proper indexing, no broken redirects. Google's March 2026 core update reinforced that thin or generic content gets devalued regardless of how well-optimized it looks at the surface (Orange MonkE). Technical SEO is the unglamorous work that determines whether anything else you do can be seen.
Hand-coded schema, not platform defaults.Schema is structured code on a website that tells search engines and AI models exactly what each page is about. The schema baked into Squarespace, the generic version a WordPress plugin auto-generates, the boilerplate output of most CMS templates - that's the schema your competitors also have. It's middle-of-the-pack by definition. Hand-coded schema, written for the specific entity and intent of each page, communicates clearly and uniquely to search engines and AI. It's more work. That's the point. Skipping it concedes the same ground everyone else is conceding.
Hand-curated business directory citations, not programmatic ones. A citation in this context means a mention of your business name, address, and phone number on a third-party directory: Yelp, Tripadvisor, BBB, industry-specific directories, local chamber listings. Search engines and AI models use citation consistency to verify your business is real, located where you claim, and operating as described. Programmatic citation services blast generic listings across hundreds of sites in a single template. That produces middle-of-the-pack visibility at best and incorrect or duplicate listings at worst. Hand-curated citations, written for the specific directory, are slower and more expensive. They also outperform.
Third-party validation. Being published, quoted, interviewed, or cited by sites with higher authority than yours. AI models weight third-party mentions far more heavily than self-published claims. This is part of why I argued Google's E-E-A-T framework is incomplete and expanded it into the EQUATE framework.
Conversion tracking that actually works. GA4, Google Search Console, server-side tagging where possible, properly defined conversion events, a real attribution model. Without this, every other recommendation on this list is a guess.
Content depth and originality. First-hand expertise, real data, opinions only an experienced practitioner would have. Generic content is the most consistent loser across recent algorithm updates.
With those foundations in place, here's what tilts the table on each engine:
Google (default Search and AI Mode). Map Pack optimization, GBP completeness and recency, review velocity, local schema, EQUATE-aligned content, getting cited in both AI Overviews and AI Mode answers, and strong third-party editorial coverage. AI Mode rewards the same fundamentals as default Google but weights structured data and live GBP signals more heavily. That's how it pulls open/closed status, current hours, and even daily promotions directly into the answer.
Bing. Bing Places for Business, Tripadvisor and Yelp presence, structured data, IndexNow submission, and Microsoft Copilot citations. Optimizing here directly improves your ChatGPT and Perplexity visibility through fan-out.
Brave Search. Submit to Brave's index, ensure clean structured data, and pay attention to Brave's preference for less-tracking-heavy sites and authoritative content. Optimizing here is the indirect path to Claude visibility.
ChatGPT. Get mentioned consistently across the publications and platforms it trusts and retrieves from: Wikipedia, LinkedIn, industry-authority blogs, and Bing-indexed pages. Reddit still matters for experience-driven queries. A clear, well-written About page that synthesizes your business confidently helps. So does showing up in the public conversations your customers actually have.
Gemini. Everything that helps you in Google's index, plus structured data, author schema, and freshness. Gemini grounds in Google Search, so the work overlaps heavily with Google work, with extra reward for structured clarity.
Claude. One reframe before the tactics. Claude.ai now gates anonymous users behind a login wall. For the segment of your audience that lands on the chat without an account, you're invisible by default. That's not an optimization problem, it's an access problem, and the only fix is on Anthropic's side. For the audience that does log in, Claude rewards clarity of identity over volume of mentions. A confused About page or scattered service descriptions hurt you more here than anywhere else. And because Claude searches via Brave, Brave optimization is the indirect path to Claude visibility.
Look at that list again, notice a pattern? There's no single tactic that wins all of them. Doing great Google SEO doesn't get you cited by ChatGPT. Getting cited by ChatGPT doesn't help you in the Map Pack. Optimizing for Bing's Copilot doesn't move Gemini. Nothing in the Google or Bing world automatically helps you in Brave.
That's what Search Everywhere Optimization actually means. Not a buzzword. A recognition that the buyer journey now spans multiple surfaces with different rules, and you have to show up across all of them, at the right moment, or you lose decisions you should be winning. I went deeper on the full ecosystem in The 2026 AI Search Ecosystem.
The Practical Takeaway for Your Business
Stop asking "should I focus on AI or SEO?" That framing is wrong. Start asking three sharper questions:
Where in my buyer's journey does each platform fit? Most buyers now use AI for the first answer and Google for the verification. If you're not present in both, you'll get short-listed by one and eliminated by the other.
Which queries are still won by traditional SEO? Local, transactional, real-time, and "near me" queries are still dominated by Google and unlikely to move. If your business depends on those, your investment hierarchy starts with Google Business Profile and local schema, not with AI optimization.
Which queries are increasingly won inside AI answers? Research, comparison, and "should I do X or Y" questions now happen inside ChatGPT, Gemini, and Claude. Winning those requires getting cited by the publications and sources those models trust. Closer to PR than to traditional SEO. Proving AI-driven leads and sales in the zero-click era is genuinely difficult. Traditional conversion models have changed. Brand mentions, share of voice across AI answers, and citation frequency are emerging as the KPIs that actually drive business. I touched on the risk of being missing from those citations in The Silent Liability of AI Content.
The brands that win in the multi-engine era will treat all the engines as one connected ecosystem and invest accordingly. The ones that pick a side and ignore the other will quietly lose ground in places they aren't even watching. No doubts, they already are.
If "best restaurant in Providence" produces five different answers across five surfaces, what do you think is happening when someone searches for your business, by name, by category, or by problem?
That's what Search Everywhere Optimization is built to answer.
Glossary
A few terms used above, in plain English:
SEO - Search Engine Optimization. The work of being findable in Google, Bing, and similar engines.
AIO - AI Optimization. The newer work of being findable inside ChatGPT, Gemini, Claude, and Perplexity answers. Sometimes also called GEO (Generative Engine Optimization).
SEvO (Search Everywhere Optimization) - the modern strategy that combines SEO and AIO with social, video, maps, and review platform optimization into one coordinated approach.
AI Overview - the AI-generated answer block that sometimes appears at the top of Google results pages.
AI Mode - Google's dedicated chat-style answer surface, accessible as a tab on Google Search. Distinct from AI Overviews. Produces structured, multi-section responses with embedded maps, source citations, and follow-up prompts. Behaves more like Gemini or ChatGPT than the classic Google results page.
Map Pack - the box of three local business pins (with map, hours, ratings) Google shows for local searches. Also called the "Local Pack."
GBP - Google Business Profile. The free Google listing that powers your appearance in the Map Pack.
NAP - Name, Address, Phone Number. Consistency across the web matters more than most realize.
Schema - structured code on a website that tells search engines and AI models exactly what each page is about. Hand-coded schema outperforms platform defaults.
Citation - in local SEO, a mention of your business's NAP on a third-party directory site. In AI search, when an AI assistant or search engine names a source as part of an answer.
Listicle - a "Top 10 Best _" article. Self-promotional listicles are losing visibility fast in 2026.
Query Fan-Out - the process by which AI models silently rewrite a single user question into 5-10 related sub-questions, run them in parallel through a search engine, and synthesize an answer from the results.
Grounding - Google's term for connecting Gemini's answers to live Google Search results.
Navigational query - searches for a specific business or site ("Bristol County Savings Bank Providence hours").
Transactional query - searches with intent to act, book, or buy ("order from India Restaurant for pick-up").
Informational query - research-style searches ("how long is the Block Island ferry from Point Judith").
Generative query - asking AI to produce something original ("write an invitation email for a Rhode Island business networking event").
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