DEV Community: TechMitten LLC

Why Isn't My Website Showing Up on Google? A Beginner's Fix-It Guide

Raymond — Sat, 10 Oct 2026 19:21:59 +0000

You did everything right. You got a website built, it looks great, and then you type your business name into Google... and nothing. Not on page one. Not on page five. It's like your site doesn't exist.

Take a breath — this is one of the most common questions small business owners ask, and it's almost always fixable. In this guide I'll explain the real reasons websites don't show up on Google, in plain English, and then walk you through setting up Google Search Console: the free tool Google itself gives you to see exactly how it views your site. Ten minutes of setup, and you'll never have to guess again.

Why isn't my website on Google?

There are really only a handful of reasons, and most of them are boring technicalities rather than disasters:

1. Google doesn't know your site exists yet. Google discovers websites by following links from one page to another — a process called crawling. If your site is brand new and nothing links to it yet, Google may simply never have visited. Think of it like opening a shop but forgetting to tell anyone the address.

2. Your site is accidentally blocking Google. This one is more common than you'd think. Websites have a behind-the-scenes file called robots.txt and little tags called noindex that tell Google "don't list this page." Developers often turn these on while a site is under construction — and sometimes forget to turn them off when it goes live. Your site can be finished, beautiful, and completely invisible because of one forgotten setting.

3. It's just too new. Even after Google discovers your site, it can take days or weeks to actually add your pages to its index (the giant list it searches through). A week-old site not ranking yet is completely normal.

4. Google can't tell what your site is about. If your homepage doesn't clearly say what you do and where you do it — in real words, not just pretty images — Google doesn't know which searches to show you for. A page that's all photos and a "Welcome!" headline gives Google almost nothing to work with.

5. You're a local business with no Google Business Profile. If you're a plumber in Plymouth and someone searches "plumber near me," Google mostly shows the map pack — those three business listings with stars. No Google Business Profile means you're invisible in the exact spot where most local clicks happen, no matter how nice your website is.

The good news: every one of these has a fix, and the first step for nearly all of them is the same tool.

Meet Google Search Console (it's free)

Google Search Console is a free dashboard from Google that shows you precisely how Google sees your website: which of your pages it has indexed, what search terms you're appearing for, whether anything is broken, and whether your site has any penalties. It's the closest thing to reading Google's mind, and every website owner should have it set up. It costs nothing and takes about ten minutes.

Let's do it now, step by step.

Setting up Google Search Console: the beginner's walkthrough

Step 1: Go to the Search Console site.
Head to search.google.com/search-console and sign in with a Google account. Tip: use a business Google account if you have one rather than a personal Gmail — this is a business asset, and you don't want access tied to an account you might lose.

Step 2: Add your website as a "property."
Click "Add property." You'll see two options:

Domain — covers every version of your site (with and without www, http and https). More complete, but requires you to add a record to your domain's DNS settings.
URL prefix — covers just the exact address you type in. Simpler.

If DNS settings sound intimidating, choose URL prefix and type your full website address exactly as it appears in the browser, e.g. https://www.yoursite.com. You can always add the Domain version later.

Step 3: Prove you own the site (verification).
Google needs to confirm you're actually the site's owner before showing you its data. It'll offer several methods — here they are from easiest to hardest:

HTML tag (recommended for most people): Google gives you a short meta tag. Paste it into your homepage's code just before the closing </head> tag, save, then click "Verify" back in Search Console. If a developer built your site, send them the tag — it's a 30-second job for them.
HTML file upload: Google gives you a small file to upload to your website's main folder via FTP or your hosting file manager.
DNS record: Add a TXT record where your domain is registered. Most powerful, slightly more technical.

Once verified, you'll never have to do it again.

Step 4: Submit your sitemap.
A sitemap is a simple file that lists every page on your site — it hands Google a map instead of making it wander around hoping to find everything. In Search Console's left menu, click Sitemaps, then type sitemap.xml and hit submit. Most websites already have one at yoursite.com/sitemap.xml (WordPress sites with plugins like Yoast or Rank Math generate it automatically). If yours doesn't have one, that's worth asking your developer about.

Step 5: Ask Google to index your homepage right now.
Instead of waiting weeks hoping Google stumbles onto you, you can jump the queue. Paste your homepage address into the search bar at the top of Search Console, open the URL Inspection tool, and click Request indexing. Do the same for your two or three most important pages. This is the single highest-leverage button in the whole tool.

Step 6: Wait a few days, then come back and look around.
Indexing isn't instant. Give it several days, then check two reports:

Pages (under "Indexing"): shows which of your pages Google has indexed and, crucially, why not for the ones it hasn't — with reasons explained in reasonably plain language.
Performance: shows the actual search terms people typed that made your site appear, even if you were on page 6. Seeing yourself appear for anything is proof the machine is working. This report is also gold for figuring out what to write about next on your site or blog.

"I did all that — how long until I show up?"

Realistic expectations matter here. For a brand-new site, it's completely normal to take one to four weeks before you start appearing in results at all, and longer before you rank for anything competitive. SEO is a slow burn, not a switch. Anyone promising you page one overnight is selling something — probably something worthless.

What you should see fairly quickly in Search Console: your pages moving from "discovered" to "indexed," and impressions trickling into the Performance report. That's the engine turning over.

When to call in help

Here's the honest truth: everything above is very doable, but it's also fiddly, jargon-heavy work that has nothing to do with running your actual business. If you've followed this guide and your site still isn't appearing after a few weeks, or if terms like "sitemap," "robots.txt," and "DNS verification" make your eyes glaze over, that's a completely reasonable point to hand it to someone who does this every day.

That's exactly what we do at TechMitten. Every website we build for small businesses ships with Search Console set up, sitemaps submitted, indexing requested, and the technical SEO basics handled from day one — so you never have to wonder whether Google can find you. We're based in Plymouth, Michigan and work with small businesses everywhere. If your current site needs a checkup or you're starting fresh, get in touch — we'd love to help.

Quick recap

Most "my website isn't on Google" mysteries come down to five things: Google doesn't know the site exists, the site is accidentally blocking Google, it's simply too new, the content doesn't clearly say what the business does, or there's no Google Business Profile for local searches. Google Search Console is the free, ten-minute tool that diagnoses all of it — set it up, submit your sitemap, request indexing, and check back in a few days. And if you'd rather have someone handle the technical side while you run your business, you know where to find us.

How I Build AI Receptionists for Small Businesses

Raymond — Sat, 10 Oct 2026 16:50:56 +0000

How I Build AI Receptionists for Small Businesses

Every week, small businesses lose jobs for the dumbest reason: nobody picked up the phone. The customer doesn't leave a voicemail — they call the next listing on Google.

Hiring a full-time receptionist costs $3,000+/month. An AI receptionist costs a fraction of that and never sleeps, never takes lunch, and never lets a call go to voicemail. Here's how I build them for my clients at TechMitten.

What the client actually gets

Every call answered instantly, 24/7 — nights, weekends, holidays
A natural-sounding voice agent that greets callers, answers common questions, and captures lead details (name, number, what they need)
The moment a call ends, the business owner gets a text with a short summary, plus a detailed email with the full breakdown
No app to install, no dashboard to learn — it works through the phone number they already have

The stack

RetellAI for the voice agent. This is the core — it handles speech-to-text, the LLM conversation, and text-to-speech with low enough latency that callers don't feel like they're talking to a robot. Voice quality is what makes or breaks the whole thing; a long pause and the caller hangs up.

Twilio for telephony. The client's business number routes to the AI agent. Nothing changes for the customer — they dial the same number they've always dialed.

A scheduled notification pipeline for lead alerts. After each call ends, the system waits for the call analysis to complete, then fires two notifications: a short SMS summary to the owner's phone and a detailed email with the call breakdown. I run this check every 15 minutes, so nothing slips through.

Building one for a client: the actual process

1. Conversation design. This is most of the work, and it's not code — it's writing. I map out: how should the agent greet callers? What are the 10 most common questions this business gets? What info must be captured from every caller? The agent gets a personality brief, not just a script.

2. Business knowledge. I feed the agent the details that make it sound like an insider: services and pricing, hours, service area, how to handle pricing questions versus "I need to talk to a human" situations. A generic agent is useless; a knowledgeable one books jobs.

3. Call flows and fallbacks. What happens when the caller asks something unexpected? The agent takes a message rather than inventing an answer. What happens when someone is angry? De-escalate and offer a callback. These edge cases are where cheap implementations fall apart.

4. Test calls. I call the number myself — repeatedly, with different scenarios. The friendly caller, the confused caller, the one who rambles. If the agent can't handle my test calls, it's not ready for real customers.

5. The notification loop. The owner needs to know about leads now, not tomorrow. The SMS is short enough to read at a glance ("New lead: Sarah M., wants a quote for a bathroom remodel"). The email has the full details. Speed of follow-up is what turns a lead into a job.

What I've learned

Latency is everything. The difference between a fast response and a slow one is the difference between "wow, that was smooth" and "this is a robot." A streaming voice pipeline is non-negotiable.

Owners don't want a dashboard. Every client I've talked to wants the same thing: "just text me when someone calls." The fancier the admin panel, the less they use it. SMS plus email beats any dashboard.

The agent should know when to stop talking. The best AI receptionists are brief. Greet, help, capture, confirm, done. Callers can smell a rambling bot instantly.

Test with real-world messiness. Accents, background noise, speakerphone — the real world isn't a quiet room. I test accordingly.

The bottom line

A missed call used to mean a missed job. Now it means the AI took the details, the owner got a text moments later, and the lead got a callback within the hour. That's the whole pitch — and it's why every client I've set one up for wonders why they didn't do it sooner.

I build these for small businesses at TechMitten — if missed calls are costing you jobs, that's literally the problem I solve.

AI Assistants Are a Game Changer for Small Business Automation

Raymond — Mon, 28 Sep 2026 04:37:17 +0000

AI Assistants Are a Game Changer for Small Business Automation

Running a small business means living inside a math problem nobody warned you about. There are maybe three hours of work you actually get paid for, and then five more hours of everything around it. Posting content. Organizing files. Answering the same questions for the tenth time. Researching. Keeping the blog alive long enough that Google remembers you exist.

Hiring someone to absorb all that costs more than the busywork is worth. So most small businesses just don't. The blog goes stale. The Facebook page posts twice, then goes quiet for six months. The "someday" list keeps growing.

This is the gap AI assistants have started to fill. Not as some sci-fi gimmick. As something far more boring and far more useful: an extra pair of hands that never gets tired and never forgets what you told it last Tuesday.

Where it actually helps

Skip the hype for a minute. The real wins fall into a handful of buckets that any owner will recognize.

Content that ships on schedule. A business page that posts every day builds trust. Nobody has time to write every day. An assistant can draft a full week of posts, tips, checklists, links worth sharing, and the owner gives each one a quick yes or no before it goes out through the platform's API. The page looks alive and consistent. The owner's total effort is a few minutes of tapping.

A blog that doesn't die. Same idea, longer form. The assistant drafts the articles, even generates cover images, and nothing publishes until the owner approves it. A blog that used to get updated "whenever there was time" starts publishing on an actual schedule. Search engines notice. Customers notice.

The weekend-eating tasks. Pulling a few hundred photos off a client's social pages, organizing them, delivering everything as one tidy package. Taking a shaky phone video and turning it into a clean promo clip with branding and captions. This is the work that used to swallow Saturdays. An assistant grinds through it in one sitting while the owner does literally anything else.

Technical setups without hiring technical people. Connecting a Facebook Page API, a blog CMS, publishing tools. This used to mean hiring a developer or spending three weekends learning backend plumbing. Now the owner describes what they want in plain words and the assistant handles the setup, then proves it works. The barrier between "I wish my tools talked to each other" and "they do" got a lot shorter.

Research without the tab spiral. Which platforms are actually hiring in your state? How do these two tools really compare? What's the cheapest way to handle X? An assistant can check multiple sources and hand back just the useful answers. No forty open tabs. No falling down a forum rabbit hole at 1 AM.

The setup that keeps it safe

Here's the part the breathless articles usually skip. If software is going to post under your business name and poke around in your accounts, it needs rules. Four of them cover just about everything:

1. A human approves anything public. Every post, article, and reply that goes out under the business name gets shown to a real person first. Silence is not approval. This one rule prevents nearly every horror story you've heard.

2. Everything else runs on its own. Research, drafts, file organizing, pulling stats. The assistant does these and reports back. If you had to sign off on every little lookup, you'd save no time at all.

3. Money always needs a human yes. No exceptions, no clever workarounds. No ads, no purchases, no spending without an exact amount the owner approved in plain words.

4. It says what it's doing. When the assistant works inside accounts you're logged into, it should narrate as it goes. Unexplained activity in your own accounts feels like an intruder, even when it's your own tool doing exactly what you asked.

Ten minutes to set up. They hold up.

What to watch out for

Straight talk: this stuff isn't magic, and anyone selling it that way is selling something.

AI assistants are confident. Sometimes confidently wrong. They'll occasionally read a short reply as approval for something bigger than you meant. That's not a reason to avoid them, it's the reason rule number one exists. Check public-facing work before it goes out, every time.

They're also literal. The clearer you are about what "good" looks like, the better the output. Vague instructions get vague results. Funny thing is, that's exactly how human assistants work too. "Make the website better" gets you nowhere with either species.

And they don't replace judgment. An assistant can draft five posts before breakfast, but deciding what the business should say, how it should sound, where it's headed, that's still the owner's job. Strategy stays human. Execution is where the leverage is.

The math, briefly

A part-time hire covering even half of this mix, social posts, blog drafts, media organizing, research, light technical work, would run well past a thousand dollars a month. If you could find one person who does all of it, which you can't.

An AI assistant subscription costs a tiny fraction of that. For a one-person operation, the difference isn't incremental. It's the gap between "I really should post more" and a page that actually posts. Between losing a weekend to a client deliverable and having it done before lunch.

A sane place to start

Don't try to automate the whole business on day one. Pick the single most repetitive thing eating your week. Posting content. Organizing files. Answering the same five questions. Hand that one thing over first, put the approval rule on anything public, and give it two weeks.

If it works, you'll feel it immediately. That low-grade background stress of "I'm behind on everything" starts to quiet down. And you'll start noticing the next thing to hand over.

For most small businesses, this is the closest they'll ever get to hiring a first employee. One that never sleeps, never calls in sick, and picks up your preferences without a training manual. That's the actual game changer here. Not that the AI is smart. It's that a tiny business can finally operate like it has a team.

The Ultimate Guide to Generative Engine Optimization (GEO): SEO for the AI Era

Raymond — Thu, 24 Sep 2026 09:37:36 +0000

If you've been making websites or producing content over the past ten years, then you'll be familiar with the process: choose a keyword, write a long-form article, get some backlinks, and then hope that the Google algorithm grants your site a position among the top 'ten blue links'.

However, the internet is experiencing a major change in its structure since people are now going around the traditional search engines and are instead asking questions directly of AI tools such as ChatGPT, Perplexity, Google Gemini, and Microsoft Copilot.

They are not traditional search engines; instead, they are Answer Engines, and in order to optimize for them a totally new approach known as Generative Engine Optimization (GEO) or Answer Engine Optimization (AEO) is needed.

If you want ChatGPT to recommend your web development clients (or your own TechMitten projects) rather than your competitors, then you need to understand how these AI systems browse the web. Let's look at the workings of AI search and examine how you can design your site for the AI age.

How AI Answer Engines Actually Work

If you want an AI to recommend your business, then you need to understand the way in which it obtains information. AI models have two methods of "knowing" things:

Parametric Memory: This makes up the AI's internal brain; it is the static data which the AI acquired during its initial training (for example, from sources such as Wikipedia and through large-scale data scraping). In the case of a brand that was not well known before the AI's training cut-off date, it will not know who you are.
Retrieval-Augmented Generation (RAG): This is the method by which modern AI links with the live internet. For example, if a user asks ChatGPT to name the best web developers in Michigan, the AI does not depend on its own memory. Instead, it stops, carries out a live web search, reads through the top search results, and then produces a tailored response.

In order for your website to be cited by an AI, you have to win the RAG pipeline.

The AI Speed Limit: Why Web Performance Is Critical

When an AI bot (for example, OpenAI's search crawler) is looking for answers, it assesses around 40 to 50 URLs and then attempts to retrieve the raw HTML from the most promising ones.

The catch is that the AI allows only two seconds per page.

The AI will drop your page before it has even read one word if your origin server is slow, if you have complicated redirect chains, or if your host is slow. Moreover, bots such as OAI-SearchBot parse the raw HTML; they don't execute client-side JavaScript.

Lesson for web development: When you create Single-Page Applications (SPAs) using React, Angular, or Vue without incorporating hydration, the AI bot will simply see a blank page. Server-Side Rendering (SSR) or Static Site Generation (SSG) is not merely a performance advantage any longer; it has become a necessary requirement for achieving AI visibility.

Writing for AI: The 128-Token Rule

Generative models do not read web pages in the way that humans do, nor do they rank whole pages as Google does; instead, they break your document down into small sections (typically about 128 tokens) and then assess those particular sections for relevance.

A recent academic study (known as the "GEO-bench" study) looked at 10,000 queries and discovered that if you make intentional changes to the structure of your content it is possible to increase your visibility in AI responses by as much as 40%.

Here is how to optimize your content for AI bots:

1. Apply the Inverted Pyramid

Don't hide the answer at the bottom of the page since research has found that 44.2% of all AI citations are taken directly from the first 30% of a web page.

Under each of your main headings, provide a direct and concise answer (about 40 to 60 words). This effectively packs your answer into one highly scannable 128-token segment.

2. Introduce Specific Data and Statistics

AI models prefer verifiable facts and, if you include empirical figures, percentages, and financial metrics once every 100 words in your informative copy, your AI visibility can increase by as much as 41%.

3. Make Use of Quoted Material and Attributable Sources

Statements in the field such as "We are the best in the business" are ignored. AI systems require authoritative evidence. Visibility can be increased by 40% by including inline source attribution (that is, linking your claims to primary research), and an additional 30% in visibility can be achieved by incorporating direct quotes from named subject matter experts.

The Technical Setup: Directing the Bots

As a web developer you have complete control over the way AI bots interact with your server, but it's easy to remove your site from AI search because of a simple error.

The robots.txt Pitfall

Since many businesses are frightened that AI will take their intellectual property, they block AI bots in their robots.txt file; but it is important to make a distinction between training bots and search bots.

Bots used for training (for example, GPTBot): These work by scraping the web in order to train future AI models; you can safely block them if you want to protect your IP.
Bots such as OAI-SearchBot and PerplexityBot: These are the RAG bots which search for up-to-date answers to user queries. If you block them, you'll not show up in the search results on ChatGPT or Perplexity.

Tip: When you specifically permit OAI-SearchBot, be sure to also repeat your disallow rules for sensitive directories (for example, /admin/), since the bot will disregard the global wildcard rules the moment it comes across its own specific name.

Enter llms.txt

Just as there is a robots.txt file for giving permissions and a sitemap.xml file for URLs, so too has the AI era brought about an llms.txt file.

It's a clean, machine-parsable Markdown file that is located at the root of your domain (for example, at techmitten.com/llms.txt). The file gets rid of all the navigational clutter, popups, and layout formatting, thus giving AI reasoning models a clear text outline of what your business does, who it serves, and where your main documentation can be found. So add it to your site now.

Entity Grounding: Proving You Exist

AI does not reason in terms of keywords; instead it works with Entities (which are distinct people, places, organisations, or concepts). If the AI is unable to confirm that your business is a real and legitimate entity then it will automatically suggest your competitors.

To prove you are real, you need to establish a solid "knowledge graph" presence:

Use Schema.org JSON-LD. Place the Organization schema in the <head> section of your homepage and make sure that the @id URI is included, using the sameAs array to link your website directly to your official Wikidata item, Crunchbase, LinkedIn and your social profiles.
Declare your expertise. Make it clear to the AI which topics and technical fields you are qualified to discuss by using the knowsAbout property in your schema.
Keep your NAP consistent. For local businesses, ChatGPT makes heavy use of Yelp, whereas Microsoft Copilot depends on Bing Places and Facebook. The name, address, and phone number (NAP) must be exactly the same on all these platforms. The AI doesn't make guesses; if the address of your business differs on Yelp and Google, then the AI will reject you as a possible match.

Off-Page SEO: Mentions Over Backlinks

In traditional SEO the hyperlink held the position of king, but in Generative Engine Optimization unlinked brand mentions are now taking over that role.

Evaluation based on 75,000 brands reveals that unlinked references to a brand are related three times as strongly to AI visibility as traditional backlinks. Moreover, 82% of all AI citations are from earned third-party media (for example, digital public relations, industry news, and discussions on Reddit), whereas just 6% come from the company's own website.

The AI will not believe a major claim that you make on your website unless other credible sites are also talking about it; therefore, your public relations should centre on getting your brand name cited in reputable industry publications, even if they don't provide you with a hyperlink.

How to Track AI Traffic in GA4

A major source of annoyance with AI search is the fact that it functions as a "zero-click" environment: users obtain their answers without having to go to your website. Furthermore, when they do click through, mobile apps tend to remove the referral data, which causes Google Analytics 4 (GA4) to treat AI traffic as general "Direct" traffic.

In order to fix this, you have to create a Custom Channel Group in GA4.

In the GA4 Admin section, go to Data Display and set up a rule based on a regular expression, positioning it above the standard Referral channel. Use this precise RE2-compliant regular expression to capture traffic from AI:

^.*(chatgpt\.com|chat\.openai\.com|openai\.com|claude\.ai|anthropic\.com|perplexity\.ai|gemini\.google\.com|bard\.google\.com|copilot\.microsoft\.com|bing\.com\/chat|grok\.com|x\.ai|grok\.x\.com).*

You'll probably be amazed when you filter this traffic since, even though the amount of AI search is less than that of Google organic search, the conversion rate is usually much higher because the AI has already pre-qualified the user's intent.

Your 90-Day GEO Action Plan

If you'd like to optimize your site for ChatGPT and Perplexity, then follow this simple roadmap:

Days 1–30: The Tech Fix

Check your robots.txt file to make sure that OAI-SearchBot, Claude-SearchBot, and PerplexityBot are permitted.
Audit your server response times (keep them below 2 seconds!).
Implement Server-Side Rendering if it's necessary.
Create a file called llms.txt.
Set up your GA4 regex filter.

Days 31–60: Content Re-Architecture

Rewrite the top 30% of your service pages by including a direct summary of about 50 words right at the beginning.
Add some hard statistics and check your claims against reliable sources.
Incorporate comprehensive Organization schema into your headers.

Days 61–90: Off-Page and PR Efforts

Audit the listings of your local directory to make sure the NAP information is consistent.
Begin carrying out digital PR campaigns with the aim of getting your brand name mentioned on industry blogs and forums such as Reddit.

The move to Answer Engines has already taken place, and by using these Generative Engine Optimization techniques you can make it so that when the AI is asked to provide the best web solutions it will directly point to you.