About Recent Data Bits
Solution Smith’s Recent Data Bits is a running log of timely information focused primarily on marketing and SEO, published by Solution Smith. In the broader sense, it explores multi-channel marketing and the tools, methods, and observations involved in building and maintaining an online presence.
An RSS feed is available for Solution Smith’s Recent Data Bits, allowing users to subscribe with an RSS reader and receive updates whenever new entries are added. Entries may link to guides based on practical experience and tested information, and may occasionally discuss events affecting the online industry.
Published 7-18-2026
SpamBrain; AI-Based Keyword Stuffing Detection
An examination of Google's SpamBrain and AI-based keyword stuffing detection using publicly available information, observable behavior, and controlled testing. The objective is to better understand how modern search systems distinguish naturally written content from manipulative keyword repetition.
It is not intended to recreate, simulate, or reverse engineer SpamBrain. Instead, it presents an open and transparent model that explains the system's observable behavior while clearly distinguishing documented facts from informed inference. SpamBrain and AI based search systems has fundamentally changed how keyword density should be viewed.
Published 7-16-2026
AEO for Mentions and Citations
For an AI system to mention or cite a source, the relevant information must be available when the answer is generated. The model first relies on its persistent native knowledge, which can be thought of as background knowledge about a subject. Because this knowledge is already part of the model, it is typically presented without attributing it to a specific source.
When the model requires information that is more current, specific, or authoritative than its native knowledge, Google's hybrid search system retrieves relevant documents and places them into the context used to generate the answer. Assertions contained within these retrieved documents become available for the model to synthesize and, when appropriate, cite. From an AEO perspective, this retrieval step is the primary opportunity for a website, organization, product, or person to receive a mention or citation.
To become part of that context, a page must rank highly enough for the primary query or one of its semantic fan-out queries to be retrieved. The AI must also clearly understand the assertions being made. Content that only implies an answer provides less confidence than content that states the information explicitly. Assertions that agree with the current consensus (commodity content), or clearly explain why they differ, are more likely to be incorporated into the generated answer. Content that extends beyond the commodity knowledge by providing explicit, relevant, and well-supported information is more likely to be cited as a source.
Published 7-04-2026
Google's Hybrid AI / Search Engine Model
To understand SEO, AEO, and make informed predictions about how content may perform in Google Search, it helps to have a basic mental model of how Google's search system works. Every experienced SEO relies on some version of a model when creating content, evaluating rankings, or recommending link-building strategies.
These models are not proprietary. They are built from publicly available information, observation, testing, patents, research papers, and years of practical experience. There is little reason for SEO agencies to treat them as trade secrets. Solution Smith believes transparency benefits both the SEO community and clients and openly shares the models used to explain and guide modern search optimization.
Published 6-25-2026
Content, AI Hallucinations, and Why a Business Should Care
AI hallucinations have multiple causes. This article examines the causes that businesses can influence through the content they publish.
Every statement published on a website is an assertion about a product, service, organization, or other entity. AI systems synthesize those assertions into AI-generated answers, making the clarity and consistency of published content important to customer expectations.
Published 6-15-2026
Search Marketing: Death of the Directory
Search engines largely replaced directories such as Yahoo Directory and DMOZ because most people prefer entering a query into a search box rather than browsing lists of links. Directories have not disappeared, however. They remain useful for discovering new content and as a fallback when search engines or AI systems cannot directly answer a question. When users find a well-curated collection of relevant resources, they often engage with that page rather than repeatedly returning to search results.
Directories serve as both discovery tools and marketing channels that operate independently of search engines. This creates an interesting relationship: search engines benefit from directories and curated resources because they help surface new content, while at the same time discouraging low-quality link pages and link farms that provide little value to users.
The most valuable links are often the ones people choose to follow. Discovery occurs through both search and navigation, making directories, communities, and content references ongoing sources of visibility in an era dominated by search engines and AI systems.
The value of backlinks is not measured by simple counts alone. In practice, growth from 1 to 10 to 100 links represents incremental gains in authority rather than equal steps. This reinforces a key principle of search everywhere marketing: quality, relevance, and audience engagement outweigh sheer quantity.
Many SEO practitioners dismiss profile links because of noindex attributes or limited internal linking. Their value, however, often comes from the activity they support. Profiles create points of contact, build recognition, and generate mentions beyond the platform itself. A noindex profile can still contribute to SEO visibility because the engagement it generates creates signals that exist outside the page itself. It also drives AI visibility; modern NLP systems evaluate textual mentions across multiple sources to map an entity's footprint, treating the profile as a contextual anchor rather than just a pass-through hyperlink.
Published 6-9-2026
Solution Smith's SEO and AEO Philosophy
Search engines are essentially document retrieval systems that surface web pages based on relevance and authority. Because neither can be measured directly, search engines rely on proxy signals. On-page elements, such as titles and content, help estimate relevance, while off-page elements, such as backlinks, help estimate authority. This model has shaped SEO for decades, but it was developed for a search experience centered on lists of documents rather than direct answers.
AI answer engines operate differently. Rather than presenting documents, they generate answers from information contained within them. Typically, a search engine performs a fan-out search and supplies relevant pages as context. The AI then identifies, interprets, and synthesizes information from those sources to produce a response. Although AEO depends on search visibility and can be viewed as an extension of SEO, answer engines are fundamentally different from traditional search engines. Their goal is not to retrieve documents, but to extract and communicate information.
Solution Smith's philosophy is that SEO and AEO address related but distinct challenges. SEO helps documents become discoverable, while AEO helps the information within those documents become understandable, citable, and influential in AI-generated answers. SEO increases the likelihood that a page will be found; AEO increases the likelihood that its information will be used.
This distinction remains controversial. Many practitioners view AEO as simply another aspect of SEO and maintain that the same optimization principles apply regardless of how results are presented. Solution Smith takes the position that AI answer engines introduce new information-processing behaviors that justify treating AEO as a distinct discipline, even though it remains closely connected to traditional SEO.
Solution Smith's approach to SEO and AEO is based on testing. Drawing from Wayne's software testing, scientific methods, and reverse engineering, he uses experimentation and observation to better understand how search engines and AI answer engines process, interpret, and present information. Research, theories, and observations related to AEO are discussed on the subreddit AI Brand Ambassador. The chat-based AI Brand Ambassador model serves as a practical testing ground for exploring how AI systems discover, interpret, and reference information.
Published 6-7-2026
Generative Search Creates Solution Awareness
When a broad query such as “what is the cost of office door glass” is entered, AI systems generate fan-out queries to gather relevant information. If the query is ambiguous or allows for multiple interpretations, the response is often organized into categories that reflect those differences.
👉 What is the cost of office door glass?
The above query to Google AI produces a result that presents different types of glass door panels and options for replacing the entire door. The user may not have been aware of these alternatives when they asked the question. Information about these alternatives is commonly gathered from webpages covering related topics, and that information influences the final answer.
Published 5-30-26
How to contact Website-Smith Reddit
👉 Website-Smith on Reddit: The Website-Smith Reddit account is managed by Solution Smith and is used to discuss SEO, AI search, and digital marketing concepts. Many of the topics explore unconventional or heretical viewpoints that challenge established SEO doctrine, although traditional and long-standing SEO practices are also discussed. The account is also used to gauge community consensus and reactions to emerging concepts and theories.
👉 Website-Smith is the founder of two subreddits:
- AI_Brand_Ambassador — A subreddit focused on AI chat and answer engines built around a specific website, using information from that site as the authoritative source for generating responses. The goal is to simulate larger answer engines such as ChatGPT, Claude, and AI-powered search systems. The current implementation relies on lore.txt files as the primary knowledge source.
- Search Everywhere — A subreddit that expands SEO beyond its traditional Google-centric focus and examines search as a broader marketing channel. Discussions often challenge conventional SEO assumptions and include topics that may be considered outside mainstream Google SEO doctrine.
Published 5-26-26
The Heresy of AEO Against Classic SEO Doctrine
The Reddit user "Website-Smith," associated with Solution Smith, discusses why AEO is considered heresy against classical SEO doctrine, particularly against the doctrines of PageRank and nofollow links. He explores how entity mentions processed through NLP systems may alter the nature of off-page SEO and influence AI overview citations independently of traditional ranking signals.
He also argues that Google may dislike the term "AEO" because reducing advanced AI systems, semantic retrieval, vector mapping, and transformer infrastructure into the phrase "Answer Engine" can be interpreted as belittling the scale of the technology.
Published 5-14-26
Optimizing the Brand Entity is a core practice of entity-based SEO. It involves using schema markup, but schema markup is never used without content it matches. It involves using external sources, but the information from external sources is also not used alone; the information matches what is on the site.