The AI Visibility Checklist: What to Do This Week

Most advice about AI visibility is diagnostic: here is what AI search is, here is why it matters, here is how to measure it. That is useful, and RaveHQ Insights has published pieces that do exactly that. This one is different on purpose. It is a checklist — five actions, ranked in the order the evidence supports, that you can start this week without hiring anyone or learning a new discipline. Each item is tied to a specific finding, so you know why it's ranked where it is, not just that it made the list.

1. Claim and fix your directory listings — Yelp especially

Start here because the evidence for its importance is the most specific to a single platform, and the fix is almost entirely administrative — no writing, no content creation, just accuracy work. Yext's analysis of 6.8 million citations found that ChatGPT draws approximately 49% of its local business citations from third-party directories rather than brand-owned websites.¹ Yelp is a primary source within that category. A business with an unclaimed, outdated, or incomplete Yelp listing is structurally disadvantaged specifically for ChatGPT visibility, regardless of how strong its own website is.

This week: claim your Yelp listing if you haven't, verify your hours, address, phone number, and category are current, and do the same for the two or three other directories most relevant to your specific category (OpenTable for restaurants, Healthgrades for medical practices, Avvo for legal, and so on). This is a few hours of administrative work, not a project.

2. Benchmark rating and rebuild review recency

SOCi's 2026 study found average ratings of 4.4 stars among ChatGPT-recommended locations and 4.3 among Perplexity recommendations; Gemini followed Google's 4.2-star average.² These are observed averages, not platform cutoffs. Compare your rating with the businesses customers actually see in your market, then address service problems and under-collection with a steady, policy-compliant request cadence.

Separately, and just as important: check the date of your most recent review. BrightLocal's 2026 survey found 74% of consumers trust only reviews from the last three months, and 32% trust only the last two weeks.³ If your most recent review is older than a few months, that is a recency gap worth closing this week regardless of your overall rating — a strong historical rating with no recent activity reads as inactive, not trustworthy.

3. Verify robots.txt allows the major AI crawlers

This is the fastest item on the list and the easiest to get definitively right or wrong. Check the effective robots.txt policy for OAI-SearchBot (OpenAI), Claude-SearchBot (Anthropic), and PerplexityBot (Perplexity). An explicit block prevents that search crawler from retrieving the affected pages. A missing robots.txt file permits crawling by default. GPTBot, ClaudeBot, and other training crawlers are separate privacy choices, not equivalent evidence about search retrieval.

4. Rewrite key page copy to lead with specific, verifiable claims

A Princeton GEO (Generative Engine Optimization) study found that content containing citations, statistics, and specific quotes earns approximately 40% more AI visibility than equivalent content making the same claims without evidence.⁴ This week, look at your homepage and one or two of your most important service pages, and replace vague marketing adjectives with specific, checkable facts. Not "award-winning service in a welcoming environment" but "Certified Master Technician, serving [neighborhood] since [year], 340 verified Google reviews at 4.6 stars." The specificity is what an AI system extracting facts about your business can actually use — a general claim of quality gives it nothing to cite.

5. Deliberately skip schema markup and llms.txt busywork — this week

This item belongs on the list precisely because it tells you what not to spend this week's limited time on, and the reasoning matters as much as the other four items. Two tactics circulate widely in AEO advice as quick wins: adding structured schema markup, and publishing an llms.txt file. Neither is supported by the evidence as a priority for a single week's effort.

A controlled Ahrefs study covering 1,885 pages measured the independent effect of adding LocalBusiness schema markup on AI citation rates and found a range of −4.6% to +2.2% — a range that overlaps zero and was not statistically meaningful.⁵ A separate Ahrefs study of 137,210 domains found that 97% of published llms.txt files received no requests during its May 2026 observation window.⁵ Schema remains useful for machine-readable accuracy. llms.txt can remain an inexpensive optional artifact. Neither should be sold as a proven visibility shortcut.

The week, in order

If you do nothing else, do these five things in this order: claim and correct important directory listings; benchmark rating and review recency against your local market; confirm robots.txt is not blocking the three published search crawlers; rewrite vague homepage copy as specific, checkable answers; and treat schema and llms.txt as lower-priority support work rather than the main visibility lever.

None of these five actions requires a developer, a marketing agency, or a new tool. They require a few hours spread across the week and a willingness to be specific instead of impressive. That is, not coincidentally, the same standard the evidence keeps pointing back to across every AEO study cited in this piece: specificity and verifiability outperform polish.