The 60-Day AI Visibility Checklist

Audit and standardize your name, address, and phone number everywhere it appears online

Pull every listing that mentions your business (Google, Bing, Yelp, Facebook, industry directories, old citations) and find every mismatch: an old suite number, a different phone format, a name variant. Search engines cross-check these; inconsistency quietly caps how much they trust any of your listings.

Add LocalBusiness schema markup, in the correct trade-specific type

Structured data (JSON-LD) tells engines what your business is, in a format they parse directly instead of guessing from page text. There are dozens of valid schema types (HVACBusiness, RoofingContractor, Plumber, and more) and getting the wrong one, or malformed JSON, means the markup is silently ignored.

Set your Google Business Profile categories, service areas, and attributes correctly

Your primary category alone changes which searches you are even eligible to appear in. Most owners pick one category at setup and never revisit it as their services grow, which quietly excludes them from searches they should be winning.

Confirm AI crawlers can actually reach your site: robots.txt and an llms.txt file

If your robots.txt blocks GPTBot, ClaudeBot, or PerplexityBot, whether on purpose or by a default from your hosting platform, those engines cannot read your site at all, no matter how good the content is. An llms.txt file gives them a clean map of what you offer.

Run a Core Web Vitals baseline and fix what is actively hurting you

Slow-loading pages get crawled less often and rank worse on mobile, where most local searches happen. This step is a real audit, not a guess: measure first, then fix the specific bottleneck instead of a generic speed plugin.

Build one dedicated page per individual service, not one page listing everything

A single "our services" page reads as generic to both customers and AI. Each real service (repair, replacement, maintenance plans, emergency calls) needs its own page with specifics: what it involves, typical cost range, and what a homeowner should know before calling.

Build a unique page for every town or area you serve

Swapping the city name into one template is not enough; engines increasingly treat that as duplicate content. Each area page needs something genuinely local: neighborhoods you cover, drive-time context, or area-specific issues (well water, older housing stock, climate).

Structure your FAQ content the way people actually phrase questions to AI

"How much does AC replacement cost" gets answered very differently than a generic services blurb. This means researching real phrasing (what homeowners actually ask ChatGPT and Google), then answering directly before adding detail, which is the opposite of how most sites are written.

Add FAQPage and Service schema to every new page you just built

Content alone helps humans; the schema markup is what helps an AI engine confirm the content is really an answer to that question, and quote it accurately.

Submit to 30-plus relevant business directories with identical NAP data

Each directory has its own form, its own field limits, and its own approval quirks. Getting your description truncated mid-sentence or a phone number formatted differently on even a few of these quietly undermines the consistency signal you just spent week one building.

Find and merge or remove duplicate and outdated listings

Old Google Business Profiles from a previous owner, duplicate Yelp pages, an outdated Facebook page: these actively compete with your real listing for the same searches and split your review count and trust signal.

Get listed with trade associations and licensing boards relevant to your industry

These carry more trust weight than generic directories because they verify something real: a license, a certification, membership. They are also the citations most owners skip because they take the most effort to qualify for.

Set up a systematic review request sent after every completed job

Asking sporadically, only when you remember, produces a trickle. A repeatable flow, triggered the same way every time, is what actually builds review velocity, and velocity is a stronger trust signal than total count.

Respond to every review, good and bad, with specific, natural language

Generic "thank you for your feedback" responses do little. Specific responses that naturally mention the service and area perform better and read as more credible, to both customers and engines. Bad reviews left unanswered are worse than the review itself.

Monitor review consistency across Google, Yelp, Facebook, BBB, and trade-specific platforms

A business with 4.9 stars on Google and 2 stars on an industry platform nobody is watching sends a mixed signal the moment someone checks both. This needs a recurring check, not a one-time cleanup.

Document the real questions AI assistants are being asked about your trade in your area

This is not guesswork; it means systematically testing ChatGPT, Google AI, and Perplexity with real buyer phrasing, recording what they answer, and noting who they name. Without this step every other piece of content is a guess at what people actually ask.

Write content that directly and specifically answers those exact questions

Generic "5 tips for choosing an HVAC company" content does not get quoted. Content with real specifics (actual price ranges, actual timelines, your actual service area) is what an engine can confidently extract and attribute to you by name.

Restructure key pages so answers come before elaboration, the way AI extracts passages

Engines tend to pull the first clear, direct sentence that answers a question, then may or may not include what follows. Burying the actual answer under three paragraphs of preamble means it may never get quoted at all.

Track which AI engines mention your business versus your competitors, on a recurring basis

A single test today tells you almost nothing; these answers shift week to week. Real tracking means repeating the same prompts on a schedule and logging the result, across at least ChatGPT, Google AI, and Perplexity.

Set up tracking for both search rankings and AI-answer visibility, they use different methods

Classic rank trackers do not see what ChatGPT or Google AI actually say about you; that requires a separate process entirely. Running both gives you the full picture; running only one leaves you blind to half of what is deciding your calls.

Analyze Search Console data to find what is actually working and double down on it

The instinct is to keep publishing more; the higher-leverage move is finding the handful of pages already gaining traction and strengthening exactly those with more depth and internal links, which compounds faster than spreading effort evenly.

Refresh and expand content based on real query data, not guesses

Pages that are close to ranking well often just need one more layer of specificity, a missing question answered, a fresher example, based on what the data shows people are actually searching, not what you assumed at launch.

Build a first real internal linking pass between related pages for topical authority

Random links do little; deliberate linking between your service pages, area pages, and answer content, with natural anchor text, is what signals to engines that your site is a coherent authority on the topic rather than a pile of disconnected pages.