AI Search Visibility Checklist for Local Businesses (2026)

The Short Version

If you have 30 minutes, here is how to self-audit your AI search visibility. Twelve items, each with a "what to check" and a "how to fix it" note. Mark each item green (done), yellow (partial), or red (missing).

If you finish with mostly green and yellow, you are ahead of most local businesses in 2026. If you finish with mostly red, this is a high-leverage 30 days of work or one of the cheapest done-for-you Sprint engagements you can buy.

No ranking or citation guarantees. AI engine behavior shifts month to month. The checklist below covers the work that makes citation lift achievable, not promises about specific outcomes.

Item 1: Run the free AI Visibility check

What to check. Submit your business name + city + vertical to a free AI visibility checker that runs your category queries against an actual AI search engine. You want to know whether your business is named in any of the typical buyer-intent prompts before you start optimizing.

How to fix it. Use our free single-engine check at veloxenterprises.com/ai-visibility. Five buyer-intent prompts, single grounded engine (Perplexity Sonar Online with live web search), emailed report. Save the result so you can compare it to a re-run after the work below ships.

Item 2: Verify your Google Business Profile is complete

What to check. Open business.google.com and look at your profile. Is the service list fully populated? Are attributes (parking, accessibility, payment methods) filled? Are there at least 10 photos from the last 12 months? Is there a GBP post from the last 30 days? Is the Q-and-A section seeded with five buyer-intent questions and your own answers?

How to fix it. GBP completeness is the single highest-leverage off-site signal for local AI search. Block 30 minutes; fill every field. The "attributes" section is where most businesses leave easy wins on the table.

Item 3: Confirm LocalBusiness schema is shipping on every page

What to check. Run your home page through Google's Rich Results Test. Does it detect a LocalBusiness (or vertical-specific subtype like Restaurant, Dentist, Plumber, HairSalon, HealthClub) entity with your address, phone, hours, and services? Repeat the test for your top three service pages.

How to fix it. If the validator returns no LocalBusiness markup or partial markup, you have a schema gap. WordPress users can ship this via Yoast or RankMath. Wix, Squarespace, and Webflow Business plans support custom HTML in the head. Custom-coded sites have the developer drop in a JSON-LD script tag.

Item 4: Confirm FAQPage schema with visible content

What to check. Does your site have a FAQ section or page with at least 8 buyer-intent Q-and-A pairs? Are those Q-and-A visible on the page (not collapsed behind clicks)? Is the page shipping FAQPage schema validated by the Rich Results Test?

How to fix it. If the FAQ content is missing, write five Q-and-A across pricing, service area, process, comparison, and objection-handling. Make them visible. Add FAQPage schema. Critical: do not ship FAQPage schema with hidden content; Google penalizes the mismatch.

Item 5: Verify llms.txt exists at your domain root

What to check. Visit yourdomain.com/llms.txt. Is the file present? Does it follow the format from llmstxt.org (top-level summary, structured links to top pages, methodology or contact section)? Are the links accurate and not pointing at redirected or 404'd URLs?

How to fix it. If the file is missing, create one. Curate to your top 20 to 30 highest-value URLs (not the full sitemap). Reference our own at veloxenterprises.com/llms.txt for shape. Adoption is still emerging, but the cost to ship is 15 minutes and the downside is zero.

Item 6: Audit your home page for answer-first content

What to check. Read the first paragraph of your home page out loud. Does it answer three questions in plain language: what your business does, where it operates, who it serves? Or does it open with brand fluff ("Welcome to..."), a feature list, or a pure CTA?

How to fix it. Rewrite to the answer-first pattern: "[Business name] is a [vertical] in [city], serving [target customer]. We [primary value proposition in one sentence]. [One-sentence trust signal: years operating, license, certification, distinctive capability]." Three sentences, 50 to 80 words. Save brand language for below the fold. Apply the same pattern to your top three service pages.

Item 7: Check for Wikipedia or Wikidata presence

What to check. Search wikipedia.org and wikidata.org for your business name. Is there an entry? If yes, is it accurate (current address, hours, founder name, services)?

How to fix it. Most local businesses do not have Wikipedia entries (Wikipedia notability standards exclude most SMBs). Wikidata is more lenient: businesses with 5+ years of operation, any local press mentions, or distinctive category positioning can usually qualify. Creating a Wikidata entry is free and takes 30 minutes; the entity becomes a citation source for AI engines that lean on structured knowledge graphs.

Item 8: PageSpeed mobile score

What to check. Run your home page through PageSpeed Insights on the mobile setting. Note the score. Repeat for your top three service pages.

How to fix it. Below 50 mobile is structurally broken; needs a builder swap or rebuild. 50 to 89 has fixable causes (image format swap to WebP / AVIF, lazy-loading below the fold, font-display swap, removing render-blocking JS). 90+ is healthy. AI engines deprioritize slow sites on the same logic Google does; a structural rebuild on a fast platform pays off on both surfaces.

Item 9: Robots.txt does not block AI crawlers

What to check. Visit yourdomain.com/robots.txt. Search the file for these user-agent strings: GPTBot, ClaudeBot, PerplexityBot, Google-Extended, Bytespider, CCBot. If any are present with Disallow: /, your site is blocked from being read by that AI engine.

How to fix it. If any blocks are intentional (some businesses have privacy or licensing reasons to block AI crawlers), document them. If the blocks are accidental (often left over from a pre-launch staging configuration or copied from a privacy-template robots.txt), remove them. Buyers cannot be cited if engines cannot read the site.

Item 10: Search Console crawl health

What to check. Open Google Search Console for your property. Look at the Coverage report. Are pages reporting "Discovered, not indexed" or "Crawled, currently not indexed" in significant volume? Are there crawl errors or excluded pages by mistake?

How to fix it. A site with crawl health issues in Search Console usually has the same issues for AI engine crawlers (Search Console is the canary). Fix what Search Console flags first; AI engine crawl outcomes typically improve in parallel.

Item 11: Top three vertical directory profiles

What to check. For your industry, name the top three directories where buyers find you. Examples: Healthgrades and Zocdoc for dentists; Angi and HomeAdvisor for home services; Yelp and OpenTable for restaurants; Avvo for law firms. Are your profiles claimed, complete, and consistent with your website (NAP matches, services match, hours match)?

How to fix it. Claim the three highest-leverage directories for your vertical. Fill every field. Match your website's name, address, phone, hours, and service list exactly (NAP consistency is a citation trust signal for AI engines). Plan to refresh quarterly.

Item 12: Stale stats or claims in your copy

What to check. Read through your home page and top three service pages. Is there any copy that names a specific stat ("We have served 500 customers"), claims a specific outcome ("Our customers see 30% more leads"), or references a date ("Founded in 2018")? Is each one current and verifiable?

How to fix it. Stale stats erode trust and are easy for AI engines to cross-check against newer sources. Replace any unverifiable claims with specific verifiable ones. If you cannot verify a number, remove the number. AI engines prefer "in practice for over fifteen years" (verifiable from public sources) over "trusted by thousands" (vague).

Scoring Your Audit

Count your green / yellow / red marks across the 12 items.

• 10+ green. You are ahead of 90 percent of local businesses in 2026. Keep refreshing quarterly; consider Visibility Maintenance ($49 / month) to lock in the gains.
• 6 to 9 green. You have a solid foundation with specific gaps. The 30-day $199 AI Search Visibility Sprint covers the typical gap pattern in this range.
• Fewer than 6 green. The gap is structural. Sprint can address most of it, but a website rebuild on /web-design is sometimes the better starting point if the site is on a builder that does not support schema injection.

What This Audit Cannot Tell You

The 12 items above are the floor; they do not measure how AI engines actually cite you, only how prepared your site is to be cited. To measure actual citation behavior, run a multi-engine check (the free check covers one engine; the $9 Multi-engine Prompts tier covers six engines with the same prompts).

The audit is also point-in-time. Engines change citation behavior 30 to 60 percent month to month, so a clean audit today does not lock in citations forever. Quarterly re-audits are how you stay ahead.

What If You Want Someone Else to Run This

If you would rather have an experienced operator run the full audit and ship the fixes, the $199 AI Search Visibility Sprint covers all 12 items in 30 days as a done-for-you engagement. Includes a multi-engine baseline, schema and content fixes, off-site cleanup, and a T+30 recheck so the lift is measurable.

Cross-references

• How to Get AI to Recommend Your Local Business: the practical five-move guide that maps to items 3, 4, 5, 6, and 11 above.
• AEO vs SEO for Small Business: why each item above matters for AEO specifically vs traditional SEO.
• What Is llms.txt and Do Local Businesses Need It: focused explainer on item 5.
• AI Visibility Methodology: which engines we test, prompt counts, cache lag windows.
• Sample AI Visibility Report: redacted demo of the deliverable Sprint clients receive at T+30.

No ranking or citation guarantees. AI engines change citation behavior frequently and without notice. We sell implementation work and measurement, not specific outcomes.