How fast does TaskChad answer a call?

TaskChad answers on the first ring, 24/7, in your business name. There is no hold music and no after-hours voicemail. For new paid leads, the Speed-to-Lead agent calls them back the second they land so you reach them before a competitor does.

Does TaskChad speak Spanish?

Yes. TaskChad is genuinely bilingual. It greets each caller in the language they speak and holds the whole conversation in English or Spanish, with no press 2 for Spanish and no robotic accent. It was built inside our founder's California auto insurance book, where over half the callers speak Spanish.

What does TaskChad cost?

Speed-to-Lead starts at $99 per month. The bilingual Receptionist starts at $129 per month, month to month, cancel any time; most owners pick the Questions tier at $297, and market-exclusive Custom lines start at $997. A full custom AI Employee build starts at $12,000 with a managed monthly from $1,500. Website builds start at $6,000, with AI-visibility retainers from $3,000 a month. You can also book a free Revenue Leak Audit first, a 60-minute call with our team.

How long does setup take?

Most builds go live in 14 to 30 days. The Receptionist on the Basic and Questions tiers can be live in about a week. Custom builds take about two weeks to train TaskChad on your calendar, CRM, and call routing.

What happens to calls after hours?

TaskChad answers your after-hours, weekend, and overflow calls so the urgent job never goes to voicemail and never goes to a competitor. It takes the caller's details, sends you an SMS summary, and on the right tier warm-transfers the urgent ones to your on-call line.

Who builds and runs TaskChad?

TaskChad is a team led by founder Pedro Mendoza. We run these same AI employees on our own insurance book first, then install them for the businesses we take on. Based in California, bilingual in English and Spanish.

‹ All writing

Build LogJuly 7, 20263 min readPedro Mendoza

SEO vs GEO: what's the difference and which do you need

SEO gets you ranked in Google's list of links. GEO gets you cited inside AI answers like ChatGPT and Google's AI Overview. Here's the plain-English difference, and why most local businesses now need both.

SEO (search engine optimization) is the work of ranking your site in Google's list of blue links. GEO (generative engine optimization) is the newer work of getting your business mentioned inside an AI-generated answer, like Google's AI Overview, ChatGPT, or Perplexity, where there is no list and no click, just a summary with your name in it or not. They are not competing strategies. They are two different games, and most small business owners are still only playing one of them.

What's actually different between SEO and GEO?

SEO optimizes for a ranking algorithm that hands a person ten blue links and lets them pick. You win by matching keywords, earning backlinks, and being fast and mobile-friendly enough that Google trusts you over the next plumber's site.

GEO optimizes for a language model that reads a pile of pages, decides what's true and relevant, and writes one answer. You win by being the clearest, most specific, most factual source it can pull from, not the prettiest one. There's no position 1 through 10 in GEO. Either the model cites you or it doesn't.

Why does this matter for a local service business?

More people are asking a chatbot or an AI Overview directly instead of clicking through a results page. Nobody has a clean, agreed-upon number for exactly how much search behavior has shifted, and I'm not going to hand you a fake one. But the direction is not in question: AI-generated answers are showing up more often, sitting higher on the page, and pulling traffic that used to go to your website first.

If your only content lives in a Google Business Profile listing or a five-page site with no real detail, you're invisible to that answer. Not ranked low. Invisible, because there's nothing specific enough for the model to quote.

Which one should I actually be doing?

Both, and the good news is they run on the same fuel. A page that clearly states what you do, who you serve, what it costs, and how the job actually works is exactly what ranks in classic SEO and exactly what an AI model wants to lift into an answer. You are not building two separate content strategies. You're building one asset (real, specific, factual pages) and it happens to feed both systems.

Where they split is technical weight. SEO still rewards page speed, backlinks, and keyword structure. GEO rewards plain factual statements, direct answers to direct questions, and content that stays current. For a local shop, the GEO side is honestly the easier lift: you already know the answers to "how much does this cost" and "how long does this take." You just have to actually write them down instead of hiding behind "contact us for a quote."

What does a GEO-ready page look like in practice?

The answer to the obvious question sits in the first sentence, not buried in paragraph four.
Headers are phrased as the question a customer would actually type or ask an AI.
Real numbers: prices, timelines, service areas. Vague marketing copy gives a model nothing to cite.
No stale pages. A page from 2019 with outdated pricing is a page a model learns to distrust.

Where do I start?

If your site is thin, a redesign built around real answers to real questions does double duty: it ranks better in Google and it gives AI engines something worth citing. That's the core of how we build TaskChad websites, pages structured to answer the question, not just look nice.

If you want a straight read on where your site is leaking visibility right now, in both the old search and the new AI-answer search, book a free audit or grab time for a free teardown call. Thirty minutes, no pitch deck, just what's actually broken.

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