From AAA Plumbing to AI Answers: How Businesses Have Always Tried to Game Being Found

Before SEO, There Was the Phone Book

Before Google, before social media, before search engine optimisation became an industry in its own right, there was the phone book. More specifically, there was the Yellow Pages, sitting near the telephone, heavy enough to flatten a small table and important enough to decide which local business got the call.

The rules were simple. If someone needed a plumber, a taxi firm, a locksmith, a driving instructor or a takeaway, they turned to the right category and started scanning the page. That meant visibility was not only about reputation or quality. It was about where your name appeared in the list.

So businesses adapted. They called themselves A1, AAA, A Able, Aardvark or anything else that would drag them towards the front of the alphabet. The tactic seems almost quaint now, but at the time it made perfect sense. A business listed first had a better chance of being noticed before the customer became bored, impatient or satisfied with the first decent-looking option.

That is the funny thing about marketing tricks. They often look ridiculous once the technology has moved on, but in their own moment they can be perfectly logical.

Why Acme Was Everywhere

The name Acme is a particularly interesting example because it sits between genuine business history and cartoon memory. Most people now associate Acme with Looney Tunes, where it became the supplier of unreliable gadgets, traps, rockets and portable disasters. But the word itself was widely used by real companies long before it became a joke.

Acme comes from a Greek word meaning peak, highest point or prime, which made it attractive to businesses that wanted to sound like the best in their field. It also had a very practical advantage in directories. It began with A, sat near the top of alphabetised listings and looked clean, short and confident in print. That combination helped make Acme a popular name across real-world companies as well as fictional ones.

There is something wonderfully blunt about that. A company name was not only a brand identity. It was a positioning strategy. The name itself became an early version of search optimisation, designed not for an algorithm but for a tired human thumb moving down a printed column.

The goal was not complicated. Be seen before the competition.

The Technology Changed, the Instinct Did Not

When the internet arrived, it might have seemed as though the old alphabetical tricks would disappear. In one sense, they did. Nobody needed to be first under “P” in a paper directory if people were typing into a search box instead.

But the underlying instinct did not vanish. It simply found a new target.

Businesses realised very quickly that every discovery system has rules, and if those rules can be understood, they can be pushed. The Yellow Pages rewarded alphabetic names and bigger adverts. Early web directories rewarded being listed in the right category. Early search engines rewarded pages that appeared to match a user’s search terms.

That created a new form of the same old competition. Instead of trying to become AAA Plumbing, businesses and website owners tried to become whatever the search engine thought a good result looked like.

At first, the tricks were often crude. Websites repeated keywords again and again. They stuffed terms into page titles, footers, meta tags and hidden areas of the page. Some placed white text on a white background, not for readers, but for search engines. Others built pages purely to rank for particular phrases and send users somewhere else.

The printed page had been gamed. Now the search page was being gamed too.

When Search Engines Became a Battlefield

The early days of search were messy because search engines were trying to judge relevance at a scale no human directory could manage. That created opportunity. If a ranking system paid attention to keywords, people overused keywords. If it paid attention to links, people created artificial links. If it rewarded pages on specific topics, people built thousands of thin pages around every possible phrase.

Google’s own spam policies still describe many of the tactics that came from this period, including keyword stuffing, hidden text, cloaking, link abuse and doorway pages. Cloaking means showing one thing to search engines and another to users. Hidden text can include white text on a white background or text positioned off-screen. Keyword stuffing means filling a page with terms or numbers in an attempt to manipulate rankings.

These tactics were not clever in the noble sense, but they were inventive. They showed how quickly people learn to exploit whatever system sits between them and customers. The business did not necessarily have to be the best plumber, best hotel or best legal adviser. It only had to be the result that appeared first.

This is where search changed marketing permanently. Visibility was no longer simply bought through a directory advert. It could be engineered, manipulated, outsourced and, in some cases, abused.

The Rise of Link Tricks and Doorway Pages

As search engines became more sophisticated, the tricks became more sophisticated too. Links became important because they helped search engines judge which pages seemed trusted or useful. In response, some businesses and SEO operators began building link farms, buying links, swapping links or creating networks of low-quality websites designed only to make another site look more authoritative.

Doorway pages became another common problem. These were pages built mainly to rank for specific searches and funnel users to the same destination. Google has described doorway pages as harmful because they can lead to several similar search results that all take users to essentially the same place, adding clutter rather than value.

The pattern is familiar. A discovery system tries to organise information. Businesses try to understand how that system decides what matters. Some improve their content and usefulness. Others look for shortcuts. The shortcut works for a while, then the platform cracks down, and the cycle begins again.

In the Yellow Pages era, the trick was to choose a name that began with A. In early SEO, the trick was to make a page look relevant whether or not it actually helped anyone. The tools had changed, but the ambition was exactly the same.

Get found first.

Local Search Brought the Phone Book Back

Google Maps and local search brought the phone book problem back in a new form. Once people started searching for “plumber near me”, “emergency locksmith” or “best takeaway Barnsley”, businesses once again had a local list to fight over.

The tactics changed accordingly. Some businesses added extra keywords to their names, even when those words were not part of the real business name. Others used virtual offices, fake locations, duplicate listings or misleading addresses to appear in more areas. Fake reviews became another weapon, because stars and comments can shape trust before a customer ever visits a website.

Google’s Business Profile guidelines state that a business name should reflect the real-world name used consistently on a shopfront, website, stationery and by customers. They also say businesses should not include irrelevant information, URLs or keywords in address fields, and that virtual offices are not eligible unless they are properly staffed and signed during opening hours.

The fact that those rules exist tells us something. Local search is still being gamed because local visibility still turns into money. A locksmith, plumber, garage, takeaway or beauty salon does not need global attention. It needs to appear at the exact moment someone nearby has a problem and is ready to spend.

That is why the fight over local search can be so aggressive. The modern equivalent of being first in the Yellow Pages is being first in the map pack.

Fake Reviews and the New Problem of Trust

Reviews added a new layer to the visibility game because they turned customers into ranking signals and trust signals at the same time. A business with hundreds of glowing reviews can look safer, busier and more established than a competitor, even before anyone checks whether the reviews are genuine.

That created another incentive to cheat. Fake reviews, review swaps, paid praise and manipulated ratings became part of the online visibility economy. In the UK, the Competition and Markets Authority pushed Google to strengthen its action against fake reviews, and Google agreed to identify and remove fraudulent reviews more effectively, sanction businesses and individuals involved in manipulation, and place warning alerts on profiles that use fake reviews.

The review problem shows why the old tricks have become more serious. Naming yourself AAA Plumbing might have been a bit cheeky, but it did not necessarily mislead people about whether your customers were real. Fake reviews do something more corrosive. They do not simply game visibility. They game trust.

That is the darker side of this history. Every discovery system starts as a way to help people choose. Over time, some businesses learn not only how to be found, but how to appear more trustworthy than they deserve.

Marketplaces Learned the Same Lesson

The same instinct appears on marketplaces. Amazon, eBay, Etsy and app stores all became discovery systems of their own, with internal search rules that sellers quickly learned to study. Product titles became long and keyword-heavy. Listings were written to satisfy algorithms as much as humans. Sellers chased reviews, badges, rankings and fulfilment signals.

Anyone who has searched an online marketplace will recognise the result. A simple product can arrive under a title that reads less like a name and more like a desperate attempt to include every possible search phrase. The listing is not simply telling you what the product is. It is trying to be discovered under as many queries as possible.

App stores created a similar issue. Developers learned that names, subtitles, descriptions, keywords, screenshots and reviews all affected discovery. Apple’s App Store guidelines now tell developers that metadata should accurately represent an app, and that names, subtitles and keywords should not use irrelevant terms, competitor names or manipulative keyword strings.

That is the phone book problem again. The store is different, the format is different and the rules are more complex, but the behaviour is old. If customers search inside a system, businesses will try to learn what the system rewards.

And if the system rewards messy behaviour for long enough, messy behaviour will spread.

Social Media Turned Attention Into a Game

Then came social media, where discovery was no longer only about being listed, ranked or searched. It became about being pushed by a feed.

Businesses adapted again. Hashtags were stuffed into captions. Posts were designed around trending sounds. Brands jumped on memes they barely understood. Giveaways demanded likes, shares, tags and follows. Engagement bait became familiar: comment yes, tag a friend, share if you agree, tell us your favourite, react with an emoji.

Some of it was harmless. Some of it was tiresome. All of it came from the same pressure to understand the machinery of visibility. If the platform rewarded engagement, businesses asked for engagement. If it rewarded watch time, videos got longer, stranger or more emotionally manipulative. If it rewarded regular posting, brands posted constantly, even when they had very little to say.

Social media made the race more exhausting because the front page was no longer fixed. There was no annual directory, no stable search position and no clear finish line. Visibility had to be won again and again, often daily, sometimes hourly.

The game became faster, but the logic remained familiar.

Be where the customer is looking before someone else gets there first.

Now AI Is the New Front Page

We are now entering another shift. Search is changing again as people ask AI systems for answers rather than scrolling through lists of links. Google’s AI Overviews and AI Mode are part of that change, with Google saying these features use techniques such as retrieval-augmented generation and query fan-out to generate responses supported by web pages from its index.

This changes the visibility problem. In traditional search, a business wanted to rank high on a results page. In an AI answer, the business may want to be mentioned, cited or summarised as the recommended option. That is a different kind of prize.

A user may not ask, “show me ten plumbers near me.” They may ask, “who is the best emergency plumber near me that is reasonably priced and open now?” If an AI system gives a direct answer, the battle is no longer only about being on page one. It is about being part of the answer itself.

That is why marketers are now talking about generative engine optimisation, answer engine optimisation and AI visibility. A 2026 academic survey describes generative engine optimisation as the attempt to increase a source’s presence, likelihood of citation or influence in answers produced by generative systems. It also warns that commercial claims around the field are moving faster than the evidence, and that good practice still looks more like clear, verifiable, useful information than old-fashioned keyword manipulation.

The language may sound new, but the instinct is ancient by internet standards.

Every business still wants to be the one found first.

The New Tricks Are Already Arriving

The AI era will create its own questionable tactics. Some businesses will publish endless FAQ pages designed less for readers than for AI systems. Others will try to seed brand mentions across the web, appear in comparison articles, manipulate review ecosystems or flood niche topics with content that looks authoritative at a glance. Some will try to make themselves easy for AI to summarise, even if the substance behind the summary is weak.

Google has already tried to head off some of this by saying there are no special tricks required to appear in AI Overviews or AI Mode beyond established SEO best practice, and by warning that creating pages mainly to manipulate rankings or generative AI responses can violate its scaled content abuse policies.

That warning is important because the temptation will be strong. When a new discovery system appears, the first instinct of some marketers is not to ask “how can we be more useful?” It is to ask “how can we make the system pick us?”

Sometimes those two questions overlap. Often they do not.

The best businesses may use the AI era to make their information clearer, more accurate, more structured and more helpful. The worst will treat AI answers as another surface to manipulate.

That is exactly what happened with every system before it.

The Game Never Really Changes

The history from AAA Plumbing to AI answers is funny because the tactics change so dramatically while the human behaviour stays so recognisable. A name beginning with A. A page stuffed with keywords. A hidden block of text. A fake review. A map listing with extra words in the title. A product name that reads like a search query. A social post begging for comments. A webpage shaped to be quoted by an AI answer.

Each generation of technology promises to organise the world better than the last. Each generation of businesses learns how to push against that organisation for advantage.

That does not mean all optimisation is bad. A business should be easy to find. A website should be clear. A local listing should be accurate. A product title should explain what is being sold. A page should answer the question a customer is asking. Good visibility is not cheating. In many cases, it is just good communication.

The line is crossed when optimisation stops helping the customer and starts manipulating the system. That is when visibility becomes noise, and the search for useful information becomes another contest between those who play fairly and those who are willing to make the internet worse for everyone else.

From the Alphabet to the Algorithm

The most revealing thing about the Yellow Pages trick is how innocent it now seems. Calling a business AAA Plumbing looks almost charming compared with fake reviews, doorway pages, link schemes and AI-targeted content farms. But it belongs to the same family of behaviour.

The system created an order. Businesses found a way to move up that order.

That is the entire history of commercial visibility in one sentence.

Technology did not make businesses stop gaming discovery. It only changed what “first in the list” looked like. Once it was the first name in the phone book. Then it was the first blue link. Then it was the first map result, the highest star rating, the top marketplace listing, the viral post, the featured snippet and now the AI-generated answer.

The tools keep changing. The scramble remains.

From AAA Plumbing to AI answers, the game has always been the same.

Be found first, and hope nobody asks too closely how you got there.