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A Timeline of Bing and Bard Features

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A Timeline of Bing and Bard Features

Microsoft is tweaking The New Bing constantly, grooming it to be the heir apparent to the traditional, or Top-10 blue links model that first appeared in its modern form 25 years ago with AltaVista. GoTo.com taught Google how to monetize search results back in 1998, and for about a quarter century, that’s been the dominant model. Sure, there’s been Universal Search, Knowledge Graph, and Featured Snippets, but the core of search has been the same for a long time.

Now, Microsoft is trying to change that with Bing, with a rapid-fire roll-out of potentially game-changing new features leveraging the latest GPT AI-tech to make the next feature “conversational search”. Let’s look at the timeline.

But first, a word on history and why Microsoft is so ready to take up this battle.

Microsoft’s AI history

Clippy, Tay, and shameless risk taking

AI-like features in Microsoft products are nothing new. Some may remember Clippy, the paper clip Office assistant from last century who was retired after a few years for being annoying. A decade later, Microsoft launched the experimental teen girl Tay chatbot on Twitter in 2016 that only lasted a day before it had to be taken down for being taught to be racist.

We won’t start our timeline with Clippy or Tay, but suffice to say Microsoft’s been practicing AI product integration and developing resiliency to criticism for a while now. What blows up in one company’s face as a PR disaster is par for the course for Microsoft. And since they’re the underdog in search and most of their revenue comes from elsewhere, they’re willing to take risks.

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AI history, Google RankBrain, and today

It’s been a long journey leading up to the creative-writing AI of today, starting in the halls of MIT with industry giants like Marvin Minsky and John McCarthy of the legendary Media Lab who laid a lot of foundation in the 1960s and 70s, but with disappointing results, cutting into credibility and leading to what we now call the “AI Winter”. It turned out to be greatly a matter of the hardware not being ready.

The concept of the personal data assistant popped up over the years such as the much maligned but forward-thinking handwriting recognizing Apple Newton in 1993 and the first popularly successful PDA, the US Robotics PalmPilot in 1997, paving the way for today’s AI-hardware equipped smartphones.

Google’s foundational PageRank from 1998 is a form of AI in that it is a “machine learning” algorithm. Google pushed a series of aggressive “invisible” product advancements such as better Google Maps, quietly improving quality against a backdrop of boring. There were sexier promising starts along the way, such as 2011 when they first rolled out Voice Search in the Chrome browser, then in 2014 when voice search hit mobile Android phones. The AI reality was underwhelming, but anticipation was being built.

In 2015, Google announced that new AI-powered search infrastructure called RankBrain, followed by advancements that were labeled neural matching, BERT and MUM, all of which are language-processing precursors to what took the world by storm in November of 2022 when OpenAI released a product built on a seminal Google paper published Thursday, August 31, 2017 on novel new neural network architecture for understanding language.

Transformational transformers

Only a year after Tay, Google released a paper on the Transformer, a new type of neural network that was able to do machine translation better than anything that had come before. It’s the “T” in GPT, and has made new machine learning output considerably more compelling than Clippy or Tay, with the simple trick of predicting what’s statistically most likely to be typed next—a profoundly deeper thing than it seems at first glance.

This caught Microsoft’s attention, who invested $10 billion in July 2019. Several earlier GPT versions available through the API-only were released and had many developers playing in a playground, but it failed to capture the public’s fancy, behind a login and not yet following the chat paradigm as it was.

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Nov. 30, 2022: ChatGPT and the fastest new service adoption rate in history

The first version of OpenAPI’s GPT for the general public, ChatGPT, was launched November 30, 2022. The original ChatGPT release was based on GPT-3.5. A version based on GPT-4 was released on March 14, 2023 (fast-forward in the timeline) right as Microsoft announced their intention to power The New Bing with the latest version, 4.5.

While the period between November 30, 2022 and March 14, 2023 was only 3.5 months, it was a period of intense experimentation and learning for Microsoft and the public, with the now famous fastest adoption-rate of any new online service in history. Things are moving so fast now, it’s time to look at the timeline.

Timeline of Bing and Bard features

Feb. 7, 2023: The New Bing

Microsoft announced the new version of Bing on February 7, 2023 at a news event at Microsoft’s Washington headquarters. The new version of Bing launched on desktop in limited preview on the same day and the mobile version was announced to be coming soon. ChatGPT was so big by this time, many early adopters jumped onto the waiting list.

For the general public to get this early access, they had to use the Edge browser, run an .exe to change your defaults to Microsoft’s requirements, scan a QR code and download the mobile Bing app. And even then, you had to wait. And wait, we did. Clearly, Microsoft was in a powerful position to dictate terms, so took advantage of it to start changing some habits.

Feb. 8, 2023: Google Bard is announced (faux pas)

The very next day, February 8, 2023, Google announced their own AI-powered chat bot, Google Bard, at a news event at Google’s California headquarters. This event was marked by the inauspicious faux pas of Bard wrongly stating that the James Webb Space Telescope was the first telescope to photograph an exoplanet outside our solar system.

The speed with which this announcement was rushed out and how easily Google lowered its guard against AI misinformation sent a resounding message around the world. Google is not infallible even in its own turf. Fortunes can change quickly in tech.

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Feb. 8, 2023: Early access to the new Bing, citation links, coding

For those lucky enough to get early access to The New Bing, Tay-like weirdness kicked-in, creeping out a NYTimes reporter in an article release 10 days after the launch, on February 16 when Bing tried to get the reporter to leave his wife and also made some bizarre philosophical conversations that left the reporter deeply unsettled, and right at the epicenter of a potential product-killing PR debacle.

Feb. 8, 2023: Surprisingly good features out of the gate

The beautiful Citations feature with the expandable Learn more footnote links, links again embedded directly in context of the chat, and impressively allows copy/paste of the “Markdown” of the chat including the citation-links was there right from the time of early access release.

This was very well thought-out and executed from the start and instantly won me over, as it was generously giving out Web traffic countering perhaps one of the greatest concerns, and struck me very much as an implementation worthy of Google. It alleviated many concerns gnawing at SEOs that a chat interface to search could mean the end of referral traffic.

Another big “out of the gate” feature that surprised a lot of people and has become a cornerstone of The New Bing is the ability to “code” in the chat window. A seldom mentioned aspect of this is how well the copy/paste feature handles even this coding, providing the triple-backtick code-blocks that allows other systems to show correct color-coded syntax highlighting.

Citations appear in AI responses.

Feb. 17, 2023: Microsoft Implements 5-Question Limit

Springing into action the very next day, February 17, 2023, Microsoft announced that it would limit chat sessions to five questions per session and 50 questions per day. This was a temporary measure, they said, to give their engineers time to “tune the AI” to be more human-like.

Feb. 20, 2023: The New Bing Rolls Out Despite 5-Question Limit Delay

Three days later on February 20, 2023, I got my first access to The New Bing and can show that the 5-question limit had not yet taken place, though the AI was extremely shy about any “meta” questions about itself, even just if you were using it.

Intro to New Bing.

It was not announced, but some sort of new rules were in place that whenever the AI was asked a question that made it uncomfortable, it unceremoniously ended the chat session. You now have to hit a little dustbin icon to blank its memory and start over. Eternal Sunshine of the Spotless Mind much?

Feb. 25, 2023: Tone Control and Special Superscripts

On February 25, 2023, Microsoft announced a new feature called Tone Control that would allow users to set the tone of the AI to be more or less human-like.

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Tone control implemented.

Feb. 28, 2023: Ads in Bing

On February 28, 2023, still ahead of the 5-question limit even appearing for me, the next big advancement hit. I remember it clearly because it was my first day working for MOZ and I threw out my back and distinctly remembered that I’d rather chat with Bing than wade through top-10 links that will inevitably be dominated by ads.

Imagine my surprise this being the first moment I noticed ads in The New Bing. AdWords-like ads in AI-chat! Isn’t this what Google should be doing?

What struck me with this experience even more than the ads was the fact that when I needed to search fast, I didn’t want to be hit with the traditional search interface. I just wanted to talk to an expert. This went beyond the “1 right answer” of a rich snippet. I was already used to the back-and-forth discussion aspect of chat-enhanced search, and was impressed by how the AI seemed to empathize with my situation.The idea of a “relationship” with your search engine should not be underestimated.

What’s more, with every new website you visit first hitting you with the GDPR cookie prompt, then with ads, and with Google’s Rich Snippets and Quick Answers already teaching us to alternatives to clicking through, the practical use of this new back-and-forth conversational style to search feels like a no brainer.

Ads First Appearing In The New Bing

March 1, 2023: Upping the Question Limit to 6

By March 1, 2023, the 5-question limit was in place and was in fact already upped to 6 questions:

Bing Ups Question Limit To 6

March 3, 2023: Question Limit += 1

By March 3rd, 2023, the question limit was upped to 8:

Bing Questions Upped To 8

Somebody was playing a game of Jenga with the question limit, and I was starting to get the feeling that the AI was getting more mature and accepting of its job at Microsoft. The tower would not topple.

March 7, 2023: Aggressive Monetization by Microsoft

By March 7, Microsoft was experimenting with aggressively monetizing on commerce keywords:

Aggressive Monetization On Commerce Keywords

To this day, Bing chat prompts that include the word “iPhone” will trigger similar ads. But is the traffic sent? Well, the entire text of the chat leading up to the ad label is a link to the advertiser’s site. This is analogous to when GoTo.com, the first search engine to mix paid-search with organic search showed the way to AdWords to Google, but fast-forwarded 20 years and coming from an already existing mega competitor rather than a small startup.

Bing Chat Referral Traffic

March 8, 2023: Question Limit Increased to 10

By March 8, 2023, the question limit was upped to 10:

Bing Question Limit Upped to 10

March 14, 2023: Question Limit Extended to 15 and Introduction of “site:” Search Modifiers

By March 14, the question limit is upped to 15, and I start noticing Bing’s ability to modify it’s second-stage searching to include “site:” modifiers, presumably doing very precision searches of the Bing index to find the best answer to my question. This is a very impressive feature, and I’m surprised it’s not encountered and discussed more.

Bing Site Modifier Search

March 16, 2023: General Public Access to The New Bing and Integration with Edge Browser

Since March 16, 2023, most people have been able to sign up and immediately get access to The New Bing. This was accompanied with a new version of Microsoft Edge desktop browser that planted the Bing logo in the upper-right of the browser and a sidebar that would open up to the right of the browser serving chat sessions that were in-context of what you were looking at, allowing such features as asking about the YouTube video you were watching. By this time, all roads lead to Bing chat for Edge users, and everything but using exact web addresses will initiate a chat session.

1684520739 387 A Timeline of Bing and Bard Features

Mistyped web addresses in the address bar initiate chat sessions because that counts as a search. This is now the default experience on Windows with the included browser. You have to actively work to turn it off or download an alternative browser like Chrome to avoid this behavior.

This is significant because as Windows operating systems and laptops get upgraded, all defaults reset back to Bing, setting the stage for a battle that Microsoft could win through attrition alone. At some point, the default search engine is given a chance by users tired of going through the rigmarole of customization and discover that Bing is actually pretty good.

While this heavy handed approach would appear to be inevitably effective, Google’s success in motivating Chrome installs buys Google some time. According to Bing itself:

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There are several websites that track browser market share. According to W3Counter, Chrome accounts for 63% of the total market share for all browsers worldwide. According to Global Stats StatCounter, as of November 2020 Chrome holds a whopping 70.33% of the desktop browser market share worldwide. More precisely, Chrome dominates the global web browser market with a whopping 65.68% share. The only other browser on the market that has a somewhat considerable share is Safari, with 18.68%.

Consequently, all of Microsoft’s effort to make Bing the default search engine on desktop is blocked by Google’s success to date. But we know Edge is based on Chrome, so does Edge show up as Chrome in these statistics? Again, according to Bing:

No, Edge users are not reported as Chrome users in these statistics. According to Kinsta, Microsoft Edge has a desktop browser market share of 5.83%. According to WPOven Blog, Microsoft’s Edge is at the second position with 7.75% browser market share. According to WebTribunal, Microsoft Edge has a desktop browser market share of 10.07%.

…leaving us to conclude, after calculating Apple out of the equation, that only about 1 in 8, or 12.5% of desktop users don’t go through the trouble of replacing the default Windows browser with Chrome, which I speculate is still a residual effect of the non-standard and now retired Internet Explorer. Aggressive pushing of Windows 11 upgrades and new hardware will likely increase Edge market share and drive up exposure to the Bing search + chat experience. Microsoft now requires a Microsoft account to install Windows, which also happens to be the requirement for The New Bing.

March 21, 2023: Google Announces Bard Availability with Limited Features

On March 21, 2023, Google announced that they are granting access to Bard to people on the waiting list. Feature-wise, Bard came out very sparse. No citations. No links. No images. No ads. I received access to Bard 2 days later and ran some rudimentary experiments on the features I felt most relevant at the time, awareness of current events.

Most notably, Google Bard stands on its own domain, bard.google.com, and is not integrated into the main Google search experience. This is a stark difference from Bing, which has integrated chat into the main search experience. This is significant because it means that Google Bard is not positioning itself as an alternative search engine experience, nor even an enhanced one, but rather as just a chatbot, and thus readily dismissed by the serious searcher.

As far as other features go, it can be added that Bard simultaneously offers 3 alternative responses to a prompt, but this can hardly be counted as a feature over Bing as it closely resembles Bing’s “Tone Control” feature.

March 27, 2023: Bing Raises Question Limit to 20

By March 27, the Bing question-limit was upped to 20, bringing us to where it stands today. The visibly aggressive roll-out of new features slowed down, and over the last month there has been very little new. Microsoft has been fine-tuning under what conditions chat sessions are initiated.

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Bing Question Limit Upped to 20

March 28, 2023: Bard Now Includes Citations, though Limited in Integration and Accessibility

As of March 28, 2023, Bard can give citations. It was not announced and may have been there longer. It is not well integrated and only appends a few links to the end under circumstances Bard deems appropriate. It is not clear how Bard decides when to give citations and when not to.

When citations are given, they are only ever appended at the end of the chat response, and never embedded and hyperlinked inline with accompanying footnote-style numbering as with Bing. Additionally, the citations are not in the copyable text. If you actually want to “lift” the citation links and use them in other places such as articles like this one, it can be quite a struggle.

April 21, 2023: Bard Introduces Coding Capability and Integration with Colab

The last significant development in the chatbot space was Bard’s ability to provide code, announced April 21, 2023. From March 28 when limited citation capability appeared in Bard to April 21 when coding ability was announced is absolutely glacial in terms of the development speed we’ve been seeing.

On the plus side, perhaps the most exciting unannounced aspect of the coding feature is that when you ask Bard to code something, it will actually hide under the lower-right triple-dot menu the ability to “Export to Colab” and actually run the code in a cloud-based Notebook environment.

Bing can send code to Colab to run

Can a Bards or Magis beat a Lich in a Joust?

My habits are formed. Microsoft was successful conditioning me to always give the conversational search model a try first. I’ve overridden most of the default browser settings Microsoft originally mandated as a condition of using Bing, most notably making the search bar default to Google when it’s not an exact web address typed in. And it’s not insignificant to point out that Edge is always my first choice browser because even with your Microsoft login on Chrome, and even with the appearance of all the Chat UI elements, any attempt to click them will tell you that Chat mode is only available when you have access to new Bing.

Being that I know that I do have access to the new Bing on that very same Microsoft user account that I’m logged in as under that Chrome session, I wonder what it is that they’re trying to tell me? Latest episode of the Browser Wars, much?

1684520741 924 A Timeline of Bing and Bard Features

What Google’s catch-up game is going to be is uncertain. Bard doesn’t seem like it could be the end game, and indeed Google has already announced the latest in its Dungeons & Dragons campaign: Magi, but few details are known. Perhaps Google has something in store for us that will blow our minds and make the new Bing… well, look like the old Bing. Or maybe it’s just that finally the Lich woke up, and Google is not ready to play. Bards and Magis may have no chance trying to joust a Lich.

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Let’s Start Treating Content More Like We Treat Code

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Let's Start Treating Content More Like We Treat Code

The technology space is pretty obsessed with preventing code defects from getting to production. We take great pains to make sure that a mistake doesn’t make it from the developer’s fingertips all the way through to the product system.

There’s an entire field called DevOps (short for “development operations”). This is something like a $5 billion industry. There are entire market segments filled with companies that tightly control the movement and testing of code.

Search for “DevOps diagram” sometime. You’ll be amazed at what you find—detailed schematics showing exactly how code should be copied, packaged, tested, and deployed. Developers who don’t have an artistic bone in their bodies suddenly turn into Da Vinci when describing in exacting detail how they want to orchestrate code deployments.

All of this is in search of one goal: prevent bad code from reaching production. A lofty goal, to be sure.

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…but why don’t we care so much about content?

Where we have majestic acrobatics on the code side, when it comes to content, the process is usually something like, “Well, Alice writes something in Word, then emails it to Bob, and he copies it into the rich text editor” then presses publish.

Congratulations, you have the tightest, most reliable codebase serving up terrible content. A+. Great job.

Content defects are a thing, and we don’t do enough to prevent them. In particular, we don’t look at content development as a process to be managed. We think it’s some kind of magic, not a flow of work with checkpoints, trackable assignments, and review gateways. We’re somehow convinced this would take the “soul” out of it or something.

So, while our developers get six figures worth of toys to make sure they can swap every line of code instantly without spilling their coffee, our content creators are copying and pasting things into Slack and yelling “I swear sent that to you last week!” over the cubicle wall.

We need to do better.

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Content creation isn’t magic—no more than code is magic. It’s a process that can and should be managed just like code deployments, and it deserves the same level of regard.

Your content creators need:

  • Library services. Your developers have source code management. They know where code is, all the time. They probably have versions of it dating back to when they were teenagers. These things exist for content as well—they’re called content marketing platforms (CMPs) and digital asset management systems (DAMs). They’re designed to store, organize, and version content assets so creators know where everything is.
  • Change management, in the form of editorial calendaring. Your developers know when code will be released (note: don’t do it on Fridays). They plan these things long in advance. But ask a content creator when Content Item X for the new campaign is launching, and they can only say something like, “I don’t know. I showed it to Bob. It’s in his court now…”
  • Workflow. Developers have detailed ticket management systems that can tie their actions down to the exact line of source code they changed to resolve a defect. These systems exist so that everyone knows, at all times, who is responsible for what. Meanwhile, the content editors can only shrug when someone asks who was supposed to edit the CEO’s blog post that she just announced from the keynote stage.
  • Content preview. I promise you that your development team has a graduated system of environments where they test code. They probably spend hundreds of hours maintaining it, so they can run code in isolation and know exactly how it works before they deploy it. Think of that fondly next time when your image caption is published in 30pt bold-faced font because no one told you that it wouldn’t be. (Incidentally, I’ve been thinking about preview a lot lately.)

Here’s why this is important:

Content defects matter. They can be far more damaging than code defects, while being so much harder to detect. By the time you realize something is wrong, the problem may have been existing in public for a long time, doing a lot of damage.

Imagine that you have a software company, and you’ve been trying to get an analyst to include your software in one of their reports. Your Analyst Relations staff has been consistently courting, cajoling, and hinting to this analyst that your software fits their segment exactly, and would be a great addition to the report.

The analyst finally decides to check things out. They go to your website, looking for evidence of all the things you told them about. They expected to find reinforcement of that information, that energy, that…vibe.

But, they didn’t. Their experience fell flat. They gave you a 20-minute chance, but then clicked away and didn’t look back.

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Oh sure, you had plans. You were going to revamp that part of the website, and you had mentioned it to Gary just before he went on vacation. You heard some rumors that people were working on it, and some content got changed, but you never saw and never had a chance to guide it. Content development seemingly happened in a far-off land somewhere. Normally, when something changed on the website, you were as surprised as anyone.

This is a content defect. The whole thing. One big defect.

Why don’t we categorize like this? Why don’t we call it what it is?

Maybe because it’s not…binary? With code, things often either work, or explode spectacularly, so we can stand back and confidently say, “Yup, that’s busted.”

But with content, there’s a spectrum—there’s a range. People can look at it and say, “yeah, that’s fine” even when it’s not.

The only solution here is process. You need a way to make sure that content is seen by the right people, and at the right time, and has a way of reflecting the right input.

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This happens with code all the time. We handle code exactingly, rigorously, and with due process and care.

We need to demand the same for content. And we need to start acknowledging that poor content is a failure of process, a failure of planning, and a failure of tooling.

The tools are available to avoid this. We need to implement them and use them.

Interested in learning how Optimizely Content Marketing Platform can better support your content creation process? See how it works in this quick video.

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Generative Engine Optimization Framework Introduced in New Research

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Generative Engine Optimization Framework Introduced in New Research

There are several AI chatbot-like features available in the current search engines, including Bing Copilot, Google, Bard, and Gemini. They help to optimize the content visibility in the search results with the help of an AI-powered Search engine known as a Generative engine or AI Search.

A traditional search engine like Bing, Google, or Yahoo ranks and displays information in the SERPs based on the search terms a user inputs. 🔎

The generative engine, on the other hand, generates comprehensive, accurate, and relevant results and information with the help of Generative AI or Large Language Models (LLMs) such as chatGPT, Gemini, and Claude. They understand and integrate information from various sources for the user’s queries.

In this blog, We will discuss the GEO that is introduced in the new research, its framework, and how it can change traditional Search engine optimization (SEO) practices and optimize content for visibility.

The Key Components of the GEO Framework and How They Transform Traditional SEO Practices

GEO is described in the research paper as: “A novel paradigm to aid content creators in improving the visibility of their content in Generative Engine responses through a black-box optimization framework for optimizing and defining visibility metrics. We facilitate systematic evaluation in this new paradigm by introducing GEO-bench, a benchmark of diverse user queries across multiple domains, coupled with sources required to answer these queries.”

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Traditional SEO depends upon the keyword volume, difficulty, and optimization for the specific search terms, which focus less on an interpretation relationship between the concepts of keywords or user queries. SEO practices prioritize text-based source content over other sources of content format where regular updating of fresh content is not a primary focus. Also, metrics like impression and click rates affect ranking system results in traditional methods.

GEO encourages detailed information over just the keyword, addressing the related main queries by creating depth content and potential subtopics with the understanding of concept and relationship, encouraging the other formats, such as visual, audio, and images, not just text-based. Moreover, it emphasizes the latest updated content information with continuous accuracy and relevance to provide the most accurate and up-to-date details.

The Impact of Introducing GEO on Website Ranking and Content Relevancy

A generative engine relies on traditional SEO practices like user intent and algorithms for ranking to a degree, such as keyword stuffing. Although it focuses on keywords, it tries to find connections and meanings beyond the keywords in order to create high-quality content.

GEO doesn’t directly indicate the web visibility or page ranking in the Search Engine Result Page. However, it can optimize the overall website visibility and indirectly drive user traffic to your websites through generated responsive data and information.  

GEO-optimized content provides the AI Search or a Large Language Model (LLM) with reliable and completely detailed information, enabling them to generate the most accurate and relevant information for responses to user questions or inputs.

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These AI-powered engines can deliver a vibrant user experience using optimized content for user engagement and interactive experiences. Furthermore, It also builds trust with a user as it relies on renowned and credible sources, which enhances the effectiveness and reliability of the generated response data and provides synthesizing information.

Comparison with Existing SEO Models: Why GEO Stands Out in Enhancing Search Engine Performance

GEO utilizes auto-generative algorithms for content generation based on predetermined objectives and standards where generated content can cover a broader range of keywords and related topics in various formats like image and visual.

A generative search engine uses modern optimization techniques that involve cognitive SEO, NLP (natural language processing), and structured data markup to maintain and improve content leverage, relevancy, and search engine visibility. In addition, it introduces new methods for determining citations’ importance and website visibility, as well as improving user-centric content by using impression metrics.

Traditional SEO models rely upon and use specific keywords to optimize and rank manually in search results. It uses traditional optimization techniques like link building, meta tags, and URLs.

In traditional search optimization, content creation and optimization can be slow and have low content scalability compared to AI-powered, requiring manual effort for generation and optimization. Constant monitoring and adaptation to platform algorithms are needed to produce the latest and updated information for dynamic user behavior.

Both are equally responsible for improving the brand or website’s online visibility; traditional SEO models require the manual touch for content creation and optimization. GEO tends to use generative responses automatically for content generation as per user queries, making it more effective for user-centric content creation, optimization, and stability in related topics or keywords.

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9 Test research findings to improve the website content in GEO

The researchers from Princeton University, Georgia Tech, Allen Institute for AI, and IIT Delhi tested nine various GEO approaches to improve site content for generative engines. Techniques that have been tried and tested over 10,000 search queries, nine optimization strategies were tested on something that “closely resembles the design of BingChat”:

1714643800 803 Generative Engine Optimization Framework Introduced in New Research

  1. Authoritative: The content was altered to be more compelling while conveying definitive claims.
  2. Keyword Stuffing: More keywords were added to match the query.
  3. Statistics Addition: Instead of a qualitative conversation, quantitative statistics were included.
  4. Sources: Relevant citations have been added. Like quotes statistics
  5. Quotation Addition: Quotations from reliable sources have been included.
  6. Easy-to-understand: Simplified the language.
  7. Fluency Optimisation: Improved fluency.
  8. Unique Words: Used in the text whenever possible.
  9. Technical terms: Technical terms have been incorporated into the content.

The data set for search queries was obtained from Google, Microsoft Bing, and Perplexity. Sources include AI Discover, GPT-4, and others.

So, focus on creating detailed and comprehensive blogs or articles by defining the relation and highlighting the context for deeper meaning. Utilize the various formats for content creation to enrich information and diversify the learning perspective.

Also, update your content with the latest information and trends to maintain regular effectiveness and relevancy in the generative engines.

Conclusion:

In the end, Generative Engine Optimization (GEO) provides a more automated, scalable, and adaptive method of content creation and optimization than traditional Search Engine Optimization (SEO) approaches, which need manual and constant work for the optimization and ranking. Compared to traditional search engines, generative engines give instant and detailed personalized information to users’ queries for improved engagement.

Conventional SEO uses metrics like impression, session duration, and click-through rate (CTR), whereas GEO proposes new metrics to measure the relevance and visibility of citations within generative engine responses, making users eliminate the need to visit individual websites for information as it generates the responses on users queries from the reliable, relevant, and various sources.

AI-powered search optimization is still developing and becoming popular since most users and business owners are using generative AI as their source of information and improved visibility with universally applicable diverse content formats.

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How To Develop a Great Creative Brief and Get On-Target Content

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How To Develop a Great Creative Brief and Get On-Target Content

Every editor knows what it feels like to sit exasperated in front of the computer, screaming internally, “It would have been easier if I’d done it myself.”

If your role involves commissioning and approving content, you know that sinking feeling: Ten seconds into reviewing a piece, it’s obvious the creator hasn’t understood (or never bothered to listen to) a damn thing you told them. As you go deeper, your fingertips switch gears from polite tapping to a digital Riverdance as your annoyance spews onto the keyboard. We’ve all been there. It’s why we drink. Or do yoga. Or practice voodoo.

In truth, even your best writer, designer, or audiovisual content creator can turn in a bad job. Maybe they had an off day. Perhaps they rushed to meet a deadline. Or maybe they just didn’t understand the brief.

The first two excuses go to the content creator’s professionalism. You’re allowed to get grumpy about that. But if your content creator didn’t understand the brief, then you, as the editor, are at least partly to blame. 

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Taking the time to create a thorough but concise brief is the single greatest investment you can make in your work efficiency and sanity. The contrast in emotions when a perfectly constructed piece of content lands in your inbox could not be starker. It’s like the sun has burst through the clouds, someone has released a dozen white doves, and that orchestra that follows you around has started playing the lovely bit from Madame Butterfly — all at once.

Here’s what a good brief does:

  • It clearly and concisely sets out your expectations (so be specific).
  • It focuses the content creator’s mind on the areas of most importance.
  • It encourages the content creator to do a thorough job rather than an “it’ll-do” job.
  • It results in more accurate and more effective content (content that hits the mark).
  • It saves hours of unnecessary labor and stress in the editing process.
  • It can make all the difference between profit and loss.

Arming content creators with a thorough brief gives them the best possible chance of at least creating something fit for purpose — even if it’s not quite how you would have done it. Give them too little information, and there’s almost no hope they’ll deliver what you need.

On the flip side, overloading your content creators with more information than they need can be counterproductive. I know a writer who was given a 65-page sales deck to read as background for a 500-word blog post. Do that, and you risk several things happening:

  • It’s not worth the content creator’s time reading it, so they don’t.
  • Even if they do read it, you risk them missing out on the key points.
  • They’ll charge you a fortune because they’re losing money doing that amount of preparation.
  • They’re never going to work with you again.

There’s a balance to strike.

There’s a balance to be struck.

Knowing how to give useful and concise briefs is something I’ve learned the hard way over 20 years as a journalist and editor. What follows is some of what I’ve found works well. Some of this might read like I’m teaching grandma to suck eggs, but I’m surprised how many of these points often get forgotten.

Who is the client?

Provide your content creator with a half- or one-page summary of the business:

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  • Who it is
  • What it does
  • Whom it services
  • What its story is
  • Details about any relevant products and services

Include the elevator pitch and other key messaging so your content creator understands how the company positions itself and what kind of language to weave into the piece.

Who is the audience?

Include a paragraph or two about the intended audience. If a company has more than one audience (for example, a recruitment company might have job candidates and recruiters), then be specific. Even a sentence will do, but don’t leave your content creator guessing. They need to know who the content is for.

What needs to be known?

This is the bit where you tell your content creator what you want them to create. Be sure to include three things:

  • The purpose of the piece
  • The angle to lead with
  • The message the audience should leave with

I find it helps to provide links to relevant background information if you have it available, particularly if the information inspired or contributed to the content idea, rather than rely on content creators to find their own. It can be frustrating when their research doesn’t match or is inferior to your own.

How does the brand communicate?

Include any information the content creators need to ensure that they’re communicating in an authentic voice of the brand.

  • Tone of voice: The easiest way to provide guidance on tone of voice is to provide one or two examples that demonstrate it well. It’s much easier for your content creators to mimic a specific example they’ve seen, read, or heard than it is to interpret vague terms like “formal,” “casual,” or “informative but friendly.”
  • Style guide: Giving your content creator a style guide can save you a lot of tinkering. This is essential for visuals but also important for written content if you don’t want to spend a lot of time changing “%” to “percent” or uncapitalizing job titles. Summarize the key points or most common errors.
  • Examples: Examples aren’t just good for tone of voice; they’re also handy for layout and design to demonstrate how you expect a piece of content to be submitted. This is especially handy if your template includes social media posts, meta descriptions, and so on.

All the elements in a documented brief

Here are nine basic things every single brief requires:

  • Title: What are we calling this thing? (A working title is fine so that everyone knows how to refer to this project.)
  • Client: Who is it for, and what do they do?
  • Deadline: When is the final content due?
  • The brief itself: What is the angle, the message, and the editorial purpose of the content? Include here who the audience is.
  • Specifications: What is the word count, format, aspect ratio, or run time?
  • Submission: How and where should the content be filed? To whom?
  • Contact information: Who is the commissioning editor, the client (if appropriate), and the talent?
  • Resources: What blogging template, style guide, key messaging, access to image libraries, and other elements are required to create and deliver the content?
  • Fee: What is the agreed price/rate? Not everyone includes this in the brief, but it should be included if appropriate.

Depending on your business or the kind of content involved, you might have other important information to include here, too. Put it all in a template and make it the front page of your brief.

Prepare your briefs early

It’s entirely possible you’re reading this, screaming internally, “By the time I’ve done all that, I could have written the damn thing myself.”

But much of this information doesn’t change. Well in advance, you can document the background about a company, its audience, and how it speaks doesn’t change. You can pull all those resources into a one- or two-page document, add some high-quality previous examples, throw in the templates they’ll need, and bam! You’ve created a short, useful briefing package you can provide to any new content creator whenever it is needed. You can do this well ahead of time.

I expect these tips will save you a lot of internal screaming in the future. Not to mention drink, yoga, and voodoo.

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This is an update of a January 2019 CCO article.

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Cover image by Joseph Kalinowski/Content Marketing Institute

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