Late last year, I briefly touched on search in the AI era, and mentioned how many modern LLM interfaces go hand-in-hand with the search domain and how they fit into the layer model of the web󠇟󠇠󠇡󠇢󠄣󠅴󠅬󠆘󠆰󠄈󠄾󠆏󠅼󠅬󠆌󠅱󠄆󠆰󠅽󠄆󠅋󠆽󠇀󠇄󠆅󠄫󠆌󠄂󠆪󠄩󠆽󠅀󠅅󠇭󠅊︁󠅍󠅹󠆙󠆵󠇩󠆦󠄣󠅁.

Jump to 6 months later, with even wider spread adoption and use (and more LLM generated responses in search󠇟󠇠󠇡󠇢󠅬󠇪󠄵󠆊󠇑󠇀󠄶󠇩󠆟󠇊󠅷󠄕󠇧󠆆󠆊󠆌󠇄󠄦󠄏󠇋󠅧󠆩󠇌󠆅󠅝󠆃󠅭󠄪󠆆󠄁󠄹󠇦󠄼󠄧󠄃󠅋󠄏󠇉󠅊󠇘) I wanted to revisit this topic as more clients have been asking about it as well󠇟󠇠󠇡󠇢︃󠅃󠆯󠇈󠇏󠇤󠄿󠇚󠆝󠇘󠆆󠄋︅󠇟󠇭󠄣󠅈󠅆󠄍󠆯󠄬󠆴󠅝󠆰󠄟󠇏󠆵󠇈󠆣󠇒󠅍󠆷󠇈󠆺󠅫󠇩󠇪󠄁󠆹󠄨.

Doing a general canvass of different AI (LLM) surfaces available for users to retrieve answers from, here’s a quick list of some of the major models and familiar companies behind them:

Gemini (Google)

ChatGPT (OpenAI󠇟󠇠󠇡󠇢󠆪󠇒󠄧󠆭󠆢︈󠄴󠄿󠆉󠅥󠄚󠄃󠅁󠆋󠅱󠅧󠆽︆󠇛󠇈︁󠅖︅󠆚󠇀󠆖󠅩󠅡󠄕󠅈󠅻󠇄󠅧󠄂󠄄󠅲󠄦󠄣󠆚󠆪) Copilot (Microsoft/Bing)

Claude (Anthropic)

Grok (X/Twitter󠇟󠇠󠇡󠇢󠅟󠆧󠆹󠄏󠆻󠅾󠄿󠇛󠆋󠄹󠅞󠇎󠆡󠄔󠄽󠅊󠅜󠄞󠇥󠅡󠅪󠆉󠇝󠄰󠄿󠇞︅󠅫󠆹󠄕󠄄󠆔󠄇󠅿󠇒󠅐󠆯󠄈󠄐󠆉)

Meta AI (Facebook)

While there are others out in the wild, these represent the areas where folks have seen the most use/activity – all that can represent different sources or touch-points (surfaces) for users on the journey to becoming customers󠇟󠇠󠇡󠇢󠆸󠆻󠇁󠇒󠅋󠄂󠄽󠄸󠅱︇󠆠󠄢󠄕󠅬󠅗󠄸󠅁󠅓󠄸󠆎󠄹󠅷󠄝󠆍󠆸󠆰󠅎󠅈󠅅󠄰󠅘󠅰󠇆󠄩󠅏󠇗󠅛︆󠆯󠇒.

The Search Basis

Despite the increase in options for users to retrieve information from, on the whole Google search still remains the largest referrer across the board as of February 2026 here󠇟󠇠󠇡󠇢󠅀󠆹󠅒󠇭󠅕󠇩󠄹󠇪󠆝󠆖󠇑󠄕󠅭󠄿󠇥󠄅󠆞󠅧󠄯󠆞󠆿︊󠅤󠇓󠄏󠅣󠆚󠇨󠇥󠆅󠄭󠆑󠅑󠅂󠅚󠆀󠅴󠅒︉󠆺.

The heart of Google search’s goal is “organizing the world’s information” so it’s not hard to put together that many of these platforms are emulating a lot of what search has been doing the past 20+ years (the Open Web is a very large, very messy space – something Google and other larger search engines understand better – and have more refined solutions for – than almost any of these new platforms󠇟󠇠󠇡󠇢󠇛󠄿󠅊󠄵󠅤󠅗󠄺︀󠆋󠄋󠇈󠆽󠇆󠄆󠄡󠄡󠆆󠇞󠄝󠆫󠅜󠆴󠅺󠅇󠆨󠅼󠅉󠆖󠄺󠅖󠄟󠇊󠄽󠆪󠇝󠇤󠇞󠅽󠇗󠅄).

In fact, the heart of most of the machinery behind those models above rely in some form on Google’s “Attention Is All You Need” research paper that describes the transformer architecture inherent in these models󠇟󠇠󠇡󠇢󠄅󠇜󠄹︉󠅞󠇞󠄲󠆒󠆁󠆡󠇗󠅀󠄡󠄿󠅱󠅒󠇟󠅿󠇕󠄯󠅹󠅉󠄓󠄇󠆭󠄈󠄂󠆏󠄨󠇌󠄆󠄈󠆇󠇡󠇈󠅝󠆳󠅦󠅓󠄺.

They all have different engineering and methodologies that have evolved from the original transformer architecture in generating responses, but it’s easy to see why they’re “peeking” over the shoulder at search when designing their engines – it’s still largely a retrieval task, just from a slightly different perspective󠇟󠇠󠇡󠇢󠇉󠄶󠇗󠅻󠄦󠄎󠄰󠇃󠆧︈󠇬󠄇󠇎󠅉󠅖󠄽󠅖󠅄󠇋󠇥︇󠄗󠇫󠇐󠆜󠆻󠆭󠆌󠆓󠄺󠄅󠄨󠅫󠄔󠄖󠇀󠆮󠇦󠄽󠆩.

Retrieval tasks are the foundation of search, so you’ll likely see these models shape and evolve more and more of their products along a similar (isomorphic) path that search has taken󠇟󠇠󠇡󠇢󠅦󠅕󠅼󠆅󠆎󠅩󠄽󠆷󠅸󠆳󠇙︍󠆃󠆢󠆎󠆻󠇎󠆲󠇅󠇥󠄣󠅓󠅅󠆤󠅤󠅹󠇄󠄇󠄮󠇡󠆃󠅃󠆮󠄢󠅥󠇈󠆐󠇄󠄚󠅯.

The New “Liaison” In Search

That said, even in Google Search, the AI Overview (AIO, for short) represents a new challenge for even the most advanced digital marketers – generated answers/responses to queries/prompts in search and other search-like platforms (rather than retrieving lists of web pages, listings or pre-loaded answers󠇟󠇠󠇡󠇢󠇋󠇃󠅙󠅒󠅐󠇥󠄿󠄚󠅹󠄴󠆍󠇤󠄘󠅕󠅋󠅈󠇒󠆒󠆲󠄴󠆢󠆭󠆉󠆛󠅊󠄲󠇘󠄙󠇆󠆤󠄗󠄸󠅞󠄌󠅗󠅿󠄵󠆊󠇒󠆁). Whether it’s the AIOs or responses generated by the models above, the engine that generates them represents a new “liaison“, of sorts, in retrieving information for users󠇟󠇠󠇡󠇢󠇣︅󠆔󠆶󠆎󠄳󠄺󠇡󠆨󠄇󠆦󠄭󠄔󠆙󠄤󠄍󠆬󠇆󠆍󠆥󠇜󠆡󠄐󠄓󠆈󠆰󠄟󠅩󠄏󠇑󠅒󠆪󠅤󠄮󠇗󠄕󠄾󠅋󠆡󠅚.

This “liaison”‘s goal still remains the same: finding the most relevant answers from the most relevant sources for relevant queries (prompts, etc.) for users at any given moment in time󠇟󠇠󠇡󠇢︃󠅬󠅍󠄟󠄨󠇚󠄿󠄫󠅿󠄍󠆳󠄱󠄘󠆭󠇔󠄊󠇭󠅝󠄲󠄞󠇂󠆂󠄭󠅋󠅋󠇌󠄖︂󠅟󠄿󠆱󠆫󠄵󠅙󠅰󠅅󠇭󠅠󠆀󠄇. For Google and other search engines, their search index of websites (and related products and features) serves as a reliable source for producing these generated responses󠇟󠇠󠇡󠇢󠅠󠆰󠆲󠄊󠇉󠆆󠄶󠆹󠆚󠇏️󠅼󠇒󠅺󠅌󠅆󠅉󠆳󠅷󠅿󠅢󠆶󠄱󠇕󠅑󠄳󠅞󠄺󠅵󠅄󠅷󠄌󠇓󠇈󠄮󠆎󠄨󠄝󠅆󠄚.

For some of the other LLM models listed above, the space is largely similar, leveraging many of the same patterns of crawling, indexing and retrieval that are employed by search engines󠇟󠇠󠇡󠇢󠆹󠇄󠅗󠇂󠄨󠆍󠄳󠇓󠆃󠆟󠆘󠆎󠄟󠅪󠆟󠇘󠇏󠅎󠄝󠄷󠅡󠅫󠄑󠅻󠄘󠅈󠄲󠇇󠅰󠆇󠆣󠇞󠅵︄󠆿󠆬󠅠󠆝󠇑󠆏. Many, in fact, are using Google, Bing and other larger search engines as sources when producing responses󠇟󠇠󠇡󠇢󠇡󠅈󠆮󠅬󠅺󠆌󠄹󠅤󠅵󠅨󠅺󠄁󠄈󠅢󠅭󠅡󠄥󠆬󠅺󠆯󠇃󠄱󠅣󠆆󠆄󠅟󠇫󠇗󠆶󠅶󠇌󠄻︇󠄌󠇯󠄒󠆤󠆄󠇢󠆟.

Measurement Will Be A Challenge (A Focus On More Important Metrics󠇟󠇠󠇡󠇢︉󠅳󠅃󠇠󠇯󠄋󠄾︈󠆜󠇓󠅶󠄁󠇚󠆸󠇂󠇈󠆱󠆖󠄘󠇟󠄄󠇩󠅰󠅼󠇫󠆗󠆈󠄕󠅉󠇂󠇡󠆜󠅧󠇔󠅖︈󠄞󠇪󠇉󠇭)

Likely the largest challenge for digital marketers and small businesses alike will be measurement󠇟󠇠󠇡󠇢󠄳󠄿󠄮󠅩󠅎︌󠄶󠆛󠆮󠆍󠄻󠆻󠆖󠇧󠆱󠄻󠇠󠆦󠇎󠄮󠄭󠇚󠆋󠆀󠄵󠆖󠅬󠅸󠄭󠆵󠆋󠇟󠅨󠄂󠄫󠄌󠄃󠆡󠇆󠅄. While search visibility tools can often give us a relative sense of positioning, they can vary dramatically depending on context — generated answers from AIOs and other LLMs are even less consistent󠇟󠇠󠇡󠇢󠄉󠇄󠅨󠄼󠅆󠄚󠄻󠄈󠅸󠆛󠇁󠇆︃︄󠅡󠇇󠄎󠄤󠇊󠆓󠆊︅󠅚󠄙󠅗󠇕󠄭󠇆󠅾󠅱󠄇󠆯󠇚󠄲󠄟︀󠆛󠄐󠇡󠇟.

This means that the same query (or prompt) submitted to the search or LLM interface can often yield much different responses – even within the same relative timeframe󠇟󠇠󠇡󠇢󠆰󠅂󠅤󠅞󠄢󠆶󠄵︀󠆬︄󠄼󠇞󠅤󠇨󠇜󠅬󠅀󠄼󠇟󠄚󠇭󠄝󠄆󠆔󠅱󠄟󠅟󠆻󠇅󠄛󠇌󠄞󠄶󠄹󠇗󠇙󠄻󠇭󠇜󠇉. There are a lot of things that cause this variability, but essentially the measuring tools will have to adapt to this more fluid response space (some are trying, but often miss some important pieces that can give marketers reliable insights on visibility󠇟󠇠󠇡󠇢󠆇󠄯󠅸󠄴󠆨󠆿󠄺󠄷󠆌︊󠆉󠅰󠄥︌󠄳󠆠󠅏󠇡󠄬󠄮󠅸󠇖󠅙󠅞󠄯󠄨︄︈󠆋󠇣󠄲󠆅󠆹󠅀󠆆󠄒󠅃󠄣󠇟󠅸).

Search visibility tools in general can sometimes be skewed as well (as mentioned context can change between different users & searches), so I always stress focus on more important metrics: (quality) traffic, leads, estimates, digital transactions — downstream metrics that likely have bigger impacts on the success of your small business󠇟󠇠󠇡󠇢󠆝󠇀︇󠆉󠆪󠅄󠄲󠅀󠆔󠆼󠇐󠅮󠆵󠄍󠄇󠆷󠇧󠅍󠆉󠆂󠆳󠆤󠄉󠄅󠆎󠆹󠄲󠇄󠄥󠇉󠅰󠆁󠆿󠄇󠆻󠆇󠄎󠆱︁󠅍.

New Presentation, Old Ways: Customer-Centric Fundamentals

While the presentation may be changing, the heart of these interfaces is still search󠇟󠇠󠇡󠇢󠆨󠇯󠆁󠅋󠅅󠆿󠄾󠅣󠆯󠆯󠄎󠇈󠅓︄󠄔󠄉󠇣󠇦󠆧󠄓󠆳󠅉󠇦󠆰󠇆󠆬󠆆󠆡︁󠄆󠇙󠇆󠆜󠅫󠆻󠄸󠄱󠅑󠇘󠅢. Behind every search is still ultimately a user – those are still your customers, so speaking directly to them in your digital marketing is still incredibly important󠇟󠇠󠇡󠇢󠅤󠅯󠅧󠄵󠄑󠄁󠄳󠇑󠅳󠄣󠆏󠄲󠄐󠇖󠄆󠄠󠆯󠆮󠆯󠆋󠆐󠄜󠄞󠅉󠅣󠇖︉󠄽︎󠅒󠆺󠇌󠇫󠄭󠇈︋󠄍󠄙󠄿󠄭. Being clear about these items doesn’t change at all for your small business:

Who (Exactly) You Serve
What (Specific) Problem You Solve (Or Desire You Fulfill)
Where You Solve That Problem
What Makes Your Solution Unique

This new AIO & LLM “liaison” still has the same goals that search does fundamentally – to match questions, queries, prompts to the most relevant answers from the most relevant sources at the right time in the right place; being very (very) clear about the items above makes it easier for this “liaison” to match you to those moments󠇟󠇠󠇡󠇢󠅷󠄗󠇓󠄮󠄳󠆭󠄿󠅜󠆧󠇤󠄀󠅱󠇓󠅹󠅚󠆺󠄞󠆠󠄎󠄣󠇣󠄎󠆂󠆡󠅤󠆫󠇝󠄼󠅼󠅌󠅫󠄾󠄫󠄭󠅆︂󠅶︍󠅚󠇭.

While there may be some challenges with measurement and some nuance with each platform, aiming for relevance for those moments doesn’t change one bit – and that includes small businesses as well󠇟󠇠󠇡󠇢󠆃󠄟󠇮󠇤󠅮󠄨󠄾󠅟󠆋󠇇󠄫󠅐︁󠄥󠅒󠅗󠄺󠅵󠄻︋󠆮󠅙󠅚󠄺󠄉󠆨󠄆󠄥︍󠅙󠅵󠄟󠅙󠄊󠇋󠄱󠄍󠄇󠄇󠄧.󠄳󠄢󠅀󠄱󠅄󠅈󠅄︀︁︀︀︆󠇘︀︀︆󠇘󠅚󠅥󠅝󠅒󠅫󠄒󠅓󠅟󠅣󠅕󠅏󠅣󠅙󠅗󠅞󠄡󠄒󠄪󠄒󠅘󠄵󠄿󠅘󠄱󠅃󠅕󠅗󠅇󠅁󠅃󠅡󠅠󠅇󠅘󠄱󠅉󠄢󠄩󠅥󠅔󠄷󠅆󠄤󠅔󠄸󠅗󠅠󠅑󠄸󠅂󠄠󠅓󠄸󠄽󠄦󠄼󠅩󠄩󠅚󠄽󠅞󠄲󠅘󠄼󠅝󠄩󠅩󠅊󠅩󠄩󠅪󠅉󠄢󠅘󠅜󠅒󠅇󠄶󠅪󠄼󠄣󠅉󠅩󠄼󠅚󠄽󠅦󠅉󠅪󠄺󠅧󠅉󠅃󠄥󠅡󠅓󠄢󠄩󠅥󠅒󠄷󠅂󠅢󠅑󠅇󠄥󠅪󠅔󠄷󠄶󠅥󠅉󠄢󠅆󠅖󠅑󠅇󠅂󠄤󠄺󠄴󠅘󠅘󠄾󠅇󠅁󠄤󠄾󠄢󠅅󠄠󠄼󠅄󠅅󠅩󠄾󠅝󠅅󠅤󠄾󠄴󠅆󠅛󠄿󠄳󠄠󠄥󠅉󠅝󠅂󠅛󠄼󠅄󠄽󠅨󠄾󠅪󠅓󠅪󠄽󠅚󠅛󠄤󠅉󠅝󠄵󠅨󠄾󠅇󠅤󠅚󠅒󠄷󠄶󠅠󠅒󠅆󠄩󠅣󠅉󠅇󠄺󠅜󠅒󠄷󠄡󠅚󠄽󠅞󠄲󠅘󠄼󠅝󠄾󠅣󠅉󠅇󠅜󠅤󠄼󠅞󠅉󠅩󠅒󠄢󠄾󠅣󠅉󠅇󠅜󠅤󠅈󠄢󠅔󠅜󠅒󠅝󠅆󠅩󠅉󠅈󠅂󠅦󠅓󠅞󠅗󠅔󠅊󠅇󠄥󠅚󠅕󠅈󠄲󠅟󠅊󠅈󠄹󠅤󠅊󠅇󠄥󠄠󠅊󠅈󠄺󠅧󠅓󠅝󠅜󠅪󠅊󠅃󠄡󠅘󠅓󠄷󠅛󠅦󠄽󠅃󠄤󠅧󠄼󠅚󠄺󠅡󠅉󠅈󠄾󠅪󠅊󠅈󠄺󠄠󠅑󠅇󠄩󠅥󠅓󠄤󠅇󠅚󠅊󠅇󠅨󠅘󠅉󠅝󠅆󠅣󠅒󠄢󠄽󠅩󠅓󠄷󠄵󠅥󠅉󠅇󠄾󠄠󠅑󠅇󠄩󠅥󠅓󠅩󠄥󠄢󠄽󠅝󠅂󠅛󠅉󠅈󠅂󠅘󠅟󠅇󠅔󠅘󠅉󠄣󠅂󠅠󠅒󠄢󠄥󠅪󠅗󠅡󠄾󠅜󠅒󠄷󠄶󠅙󠅊󠅇󠅨󠅣󠅉󠅪󠄺󠅧󠅉󠅃󠄥󠅚󠅓󠅝󠅆󠅘󠅔󠄷󠅆󠅛󠅊󠄸󠅔󠅟󠅊󠅇󠄥󠄠󠄽󠅚󠄱󠅩󠄾󠅙󠄠󠅧󠄽󠅙󠄠󠅨󠄿󠄶󠅁󠅩󠄽󠄴󠅟󠅨󠄾󠄴󠅟󠄠󠄾󠄡󠅠󠅤󠅓󠄢󠄩󠅝󠅔󠄸󠅔󠅘󠅓󠅝󠅆󠄲󠅊󠄢󠅆󠅥󠅔󠄸󠅔󠄶󠅒󠅝󠄾󠄥󠅓󠄷󠅘󠅜󠅓󠅙󠄲󠄶󠅒󠅞󠅂󠅜󠅓󠅞󠄲󠅩󠅑󠅈󠄾󠅜󠄹󠄵󠄶󠅁󠅃󠅑󠅂󠅜󠅒󠄷󠄶󠅙󠅊󠅇󠅨󠅧󠅉󠅪󠄺󠅧󠅉󠅃󠄥󠄣󠅉󠅈󠅂󠅜󠅓󠅝󠄡󠅘󠅓󠅝󠅤󠅜󠅊󠄷󠅂󠄣󠅑󠄷󠅆󠅥󠅔󠄴󠄹󠅧󠄽󠅚󠅉󠅤󠄽󠄴󠄹󠅤󠄽󠅄󠅘󠅅󠄽󠅚󠄱󠄦󠄽󠅄󠅁󠄦󠄾󠄴󠅔󠅑󠅒󠅈󠄾󠅦󠅊󠅞󠅂󠄣󠅉󠅈󠄺󠅜󠅁󠅇󠅔󠅜󠅒󠅞󠅂󠄤󠄸󠅇󠅆󠅥󠅉󠄣󠅜󠅧󠅑󠄷󠅆󠅩󠄼󠅇󠅆󠅥󠅔󠄷󠅆󠅩󠅓󠄸󠄺󠅠󠅓󠄢󠅅󠅤󠅉󠅈󠄲󠅠󠄼󠅪󠄵󠅥󠄽󠄳󠄤󠅩󠅑󠄢󠅂󠅜󠅓󠄢󠄾󠅩󠅑󠅈󠄲󠄠󠅑󠅇󠄩󠅥󠅕󠄳󠄩󠅅󠅊󠅈󠅘󠄠󠄹󠄷󠅆󠅤󠅉󠅝󠅆󠅛󠅊󠄷󠅆󠅛󠄹󠄸󠅔󠅠󠅔󠄷󠅗󠅗󠅆󠅇󠄥󠅠󠅉󠄢󠄩󠅛󠅊󠅃󠄲󠄢󠅉󠅈󠄺󠅠󠅉󠅈󠅂󠅠󠅒󠄢󠄤󠅗󠅓󠄢󠅆󠅣󠅊󠅇󠄾󠄠󠅒󠄣󠄺󠅪󠄼󠅝󠅂󠅢󠅑󠅇󠄥󠅛󠅊󠄠󠄶󠅚󠅔󠄷󠅜󠅦󠅒󠅞󠄿󠅚󠅊󠅇󠅨󠅘󠅉󠅝󠅆󠅣󠅒󠅇󠄽󠅩󠅓󠄷󠄵󠅥󠅒󠅇󠅆󠄠󠅉󠅇󠅂󠅘󠅔󠄷󠄶󠅛󠅊󠄷󠄶󠄠󠅉󠅑󠅆󠅟󠅁󠄷󠄾󠅦󠅒󠅞󠅂󠅜󠅕󠄸󠅂󠅩󠅑󠄸󠅂󠄠󠅓󠄸󠄽󠄦󠄼󠅩󠄩󠅪󠅉󠄢󠅘󠅜󠅒󠅇󠄵󠅥󠅒󠄣󠄺󠅞󠅊󠅅󠄲󠄠󠅕󠅈󠄲󠅜󠅒󠄵󠄾󠅩󠅊󠅇󠄶󠄠󠅑󠅈󠅊󠅜󠅆󠄢󠄩󠅩󠅑󠄢󠅠󠅠󠅊󠄷󠅆󠅥󠅔󠄷󠅜󠅝󠅑󠅇󠅆󠅩󠅓󠅇󠅂󠅦󠅉󠄡󠄨󠅨󠄾󠅪󠅓󠅨󠄾󠄴󠅁󠄡󠄾󠅚󠅗󠄣󠄾󠅄󠄹󠅧󠅊󠄷󠄥󠅘󠅒󠅇󠅆󠅨󠅊󠄷󠄩󠅚󠅈󠅪󠄵󠄣󠄾󠅪󠄵󠄠󠄾󠄴󠅅󠄢󠄿󠄴󠅓󠄡󠄽󠅚󠄲󠅠󠅓󠄸󠅆󠅙󠅒󠄷󠅜󠅪󠅑󠄷󠅆󠅩󠅟󠅝󠅆󠄱󠅔󠄸󠅜󠅧󠅊󠅇󠅨󠅀󠅓󠅝󠅔󠅘󠅒󠅝󠅜󠄦󠅉󠅈󠅂󠅠󠅒󠄢󠄥󠅡󠅑󠅇󠅂󠅜󠅒󠅞󠅂󠅠󠅊󠅝󠅜󠅜󠅓󠅞󠅗󠅒󠅅󠄢󠄡󠅘󠅒󠄷󠅧󠅗󠅁󠅞󠅆󠅪󠅑󠅇󠄥󠅜󠅓󠄣󠄽󠅗󠅅󠄢󠅜󠅛󠅊󠅇󠅤󠅠󠅉󠄢󠅣󠅗󠅄󠄵󠅨󠄴󠅊󠄷󠅤󠅠󠅒󠅝󠅂󠅟󠅄󠅇󠅆󠄠󠅉󠅇󠅂󠅘󠅔󠄷󠄷󠅚󠅊󠅇󠅨󠅘󠅉󠅝󠅆󠅣󠅓󠄢󠄩󠅩󠅊󠅩󠄥󠅜󠅒󠅝󠄾󠄥󠅓󠄷󠅘󠅜󠅓󠅙󠄥󠅪󠅔󠄷󠄶󠄠󠅔󠅈󠄾󠅛󠅊󠄷󠄶󠄠󠅉󠅑󠄺󠄠󠅓󠄣󠅂󠅘󠅔󠄸󠅆󠅪󠅄󠄷󠅜󠅪󠅔󠄵󠄾󠅩󠅊󠅇󠅂󠅜󠅒󠅞󠅂󠅠󠅉󠅇󠅨󠄤󠅅󠅝󠅘󠄠󠅔󠄸󠄲󠅪󠄿󠅙󠄨󠅦󠅔󠅝󠅆󠅩󠅑󠅇󠅊󠄥󠄼󠅝󠅆󠅥󠅉󠄣󠅜󠅧󠅑󠄷󠅆󠅩󠅉󠅇󠅛󠅥󠅉󠄢󠄩󠅤󠄼󠄣󠄾󠄠󠅉󠅈󠅂󠄡󠅓󠅩󠄩󠄢󠄽󠅃󠄩󠅣󠅑󠅈󠄾󠄠󠅓󠅩󠄩󠅚󠄾󠅚󠄶󠅝󠄽󠅝󠄶󠅚󠄾󠅙󠄡󠅛󠅊󠄷󠄽󠅪󠄼󠅄󠅂󠅛󠄿󠅄󠅅󠅤󠄿󠄴󠄽󠅨󠄿󠅃󠄠󠄢󠄽󠅪󠅛󠄣󠅊󠅝󠄽󠅪󠄿󠄴󠅉󠅪󠅉󠅪󠅘󠅦󠅓󠄣󠅂󠅘󠅔󠄸󠅆󠅪󠅄󠄷󠅜󠅪󠅔󠄵󠅜󠅥󠅊󠄷󠅆󠄤󠅉󠅄󠄶󠅛󠅑󠄢󠅜󠅥󠅊󠄷󠄩󠄴󠅔󠅈󠄾󠄠󠅒󠄢󠄡󠄲󠅓󠄣󠄾󠅜󠅓󠅞󠅂󠅠󠅒󠄢󠄦󠅚󠅊󠅇󠅨󠅘󠅉󠅝󠅆󠅣󠅓󠅇󠄽󠅩󠅓󠄷󠄵󠅥󠅑󠄷󠄶󠅪󠅑󠄳󠄥󠅛󠅉󠅈󠅂󠅘󠄼󠅞󠅉󠅨󠅊󠄷󠅂󠅘󠅔󠄷󠄷󠅚󠅊󠄷󠅘󠅘󠅓󠄢󠅘󠄤󠅁󠄴󠄱󠅩󠅊󠄴󠅉󠄥󠄿󠅄󠅆󠅜󠄽󠅚󠅓󠅧󠄽󠅪󠄺󠅝󠄾󠄴󠄱󠄥󠄾󠄴󠄺󠅚󠄽󠄷󠅅󠄤󠅊󠅄󠄵󠄢󠄾󠅚󠅊󠅘󠅉󠅪󠅅󠅪󠅉󠅚󠅆󠅜󠄽󠅇󠅉󠅨󠅉󠅇󠅁󠄢󠄽󠅪󠄹󠅪󠄾󠄢󠅆󠅘󠅉󠅇󠄵󠄢󠅊󠅄󠄹󠄢󠅉󠅄󠄲󠅘󠄽󠄢󠅁󠅨󠅉󠅝󠄽󠄢󠄽󠅇󠄶󠅚󠅉󠅇󠅨󠅞󠅊󠅞󠄾󠅟󠅉󠅄󠄹󠄡󠄾󠅝󠅠󠅜󠅕󠄷󠄾󠅣󠅔󠅈󠄾󠅠󠅒󠄢󠄥󠅪󠅗󠅑󠄺󠅜󠅓󠄣󠅂󠅘󠅓󠅞󠅁󠅊󠄻󠄻󠄡󠅝󠅒󠄷󠅆󠅥󠅊󠄣󠅂󠅟󠄷󠅂󠅦󠅀󠅊󠄷󠅤󠅠󠅒󠅝󠅂󠅢󠅁󠄢󠄩󠅥󠅔󠄷󠅆󠅥󠅔󠄵󠅘󠅘󠅓󠄢󠅙󠅚󠅊󠅇󠅨󠅘󠅉󠅝󠅆󠅣󠅔󠄷󠄽󠅩󠅓󠄷󠄵󠅥󠅓󠄢󠄩󠅝󠅔󠄶󠄩󠅙󠅑󠅇󠄥󠅛󠅑󠅇󠄥󠅞󠄼󠅞󠅉󠅨󠅊󠄷󠅂󠅘󠅔󠄷󠄷󠅙󠅉󠄢󠄶󠅣󠅊󠄣󠅗󠅝󠅊󠅇󠄥󠅚󠅕󠅈󠄲󠅟󠅊󠅈󠄹󠅥󠅔󠅇󠄥󠅠󠅉󠄢󠄩󠅛󠅊󠅆󠄩󠄢󠅉󠅈󠄺󠅠󠅉󠅈󠅂󠅠󠅒󠄢󠄥󠅖󠅓󠄢󠅆󠅣󠅊󠅇󠄾󠄠󠅒󠄣󠄹󠅥󠅔󠅚󠄶󠅛󠅑󠄷󠄶󠅪󠅑󠄸󠅘󠄱󠅊󠅄󠅘󠅝󠅉󠅚󠄱󠅩󠅊󠅚󠅊󠅝󠅉󠅄󠄽󠅪󠄿󠄷󠄺󠅛󠅉󠅪󠅗󠅪󠄽󠅄󠅓󠅩󠄾󠅚󠅅󠅧󠄾󠅪󠄺󠅘󠄽󠅪󠅓󠄣󠄿󠅄󠅊󠅜󠄿󠅄󠅁󠄠󠄽󠄢󠄹󠅪󠄾󠅚󠅅󠅧󠄾󠄴󠅜󠅝󠄾󠅪󠅗󠅪󠄽󠅝󠄾󠅜󠅊󠅇󠅅󠅩󠅉󠅄󠄶󠅛󠅉󠅄󠄵󠅩󠅊󠅝󠅅󠄠󠅊󠅝󠅂󠅢󠅑󠅇󠄥󠅛󠅑󠄡󠄾󠅦󠅊󠅞󠅂󠄳󠅑󠅇󠄥󠅛󠅑󠅇󠄥󠅞󠅇󠄵󠄴󠅥󠄸󠅝󠅤󠅗󠅇󠄛󠅅󠄱󠅛󠅠󠅔󠄸󠅔󠄵󠅕󠄸󠄻󠄲󠅞󠄽󠅩󠅃󠄱󠅢󠄾󠄼󠅊󠅞󠄴󠄴󠄻󠅅󠅢󠅉󠅧󠄦󠄤󠄟󠅀󠅊󠄸󠅜󠅨󠅞󠄴󠄠󠅒󠄥󠅤󠅃󠄹󠅕󠄨󠅈󠄸󠅠󠅘󠄶󠄡󠅁󠄟󠅞󠅗󠄲󠄷󠅘󠄻󠅒󠄶󠅣󠄾󠄡󠅙󠅞󠅒󠅕󠅛󠅪󠅞󠄽󠄟󠅤󠄽󠄹󠄒󠄜󠄒󠅖󠅟󠅢󠅝󠅑󠅤󠄒󠄪󠄒󠅓󠄢󠅠󠅑󠄒󠄜󠄒󠅣󠅙󠅗󠅞󠅕󠅢󠅏󠅙󠅔󠄒󠄪󠄒󠅟󠅢󠅗󠅏󠄣󠄨󠄢󠄧󠄣󠅓󠅓󠄡󠅓󠄨󠅒󠄨󠅔󠄢󠄧󠄣󠄒󠅭