RaveHQ Insights 3 July 2026 AI Search · Checklist · Action Plan 8 min read

The AI Visibility Checklist: What to Do This Week

Five concrete actions, ranked by evidence strength rather than opinion, that a single-location business can realistically do in days. Includes what to deliberately skip this week — and the specific data that justifies skipping it.

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 A business with an unclaimed, outdated, or incomplete Yelp listing is structurally disadvantaged specifically for ChatGPT visibility, regardless of how strong its own website is.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. Address review rating and recency, if you're below floor or stale

The SOCi 2026 Local Visibility Index identified approximate rating floors below which AI platforms rarely recommend a business: ChatGPT around 4.3 stars, Perplexity around 4.1, Gemini around 3.9.2 If your current rating sits meaningfully below the floor for the platform your customers use most, that is worth addressing this week — through service fixes if the rating reflects a real operational problem, and through active review requests if it reflects under-collection rather than dissatisfaction.

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 your website's robots.txt file — usually at yourdomain.com/robots.txt — and confirm it does not block the six crawlers that matter most for AI visibility: GPTBot (OpenAI), ClaudeBot (Anthropic), PerplexityBot (Perplexity), Google-Extended (Gemini's training and grounding access), CCBot (Common Crawl, which multiple AI systems draw from), and Bytespider (ByteDance). A blocked crawler cannot read your site, which means no amount of strong content or reputation work on that site can be surfaced by that engine. This check takes minutes and the fix, if something is blocked, is a one-line edit.

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

A Princeton GEO (Generative Engine Optimisation) 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.

"A vague claim gives an AI system nothing to extract. A specific one gives it something 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 is not statistically meaningful.5 A separate Ahrefs crawl of 137,210 domains found that 97% of llms.txt files are never read by AI bots at all.5 Neither tactic is harmful to implement eventually — schema remains reasonable practice for information accuracy, and llms.txt takes minutes to create if you want it for completeness — but neither belongs ahead of the four items above in a week with limited time. If you find yourself with hours to spend and have already done items 1 through 4, that is the point at which schema and llms.txt become reasonable next steps, not before.


The week, in order

If you do nothing else, do these five things in this order: claim and correct your Yelp and category directory listings; check your rating against platform floors and your most recent review's date, and act on whichever is weaker; confirm robots.txt isn't silently blocking the six major AI crawlers; rewrite your homepage's top few paragraphs to replace vague claims with specific, checkable ones; and consciously decide not to touch schema markup or llms.txt this week, because the evidence doesn't support them as a priority use of the time you have.

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.


Key takeaways
  1. Claim and correct third-party directory listings first, Yelp especially — ChatGPT draws approximately 49% of local citations from directories rather than brand-owned sites (Yext, 6.8 million citations).
  2. Check your rating against measured AI-recommendation floors (ChatGPT ~4.3★, Perplexity ~4.1★, Gemini ~3.9★, SOCi 2026) and check your most recent review's date — 74% of consumers trust only reviews from the last three months (BrightLocal 2026).
  3. Verify robots.txt allows GPTBot, ClaudeBot, PerplexityBot, Google-Extended, CCBot, and Bytespider. A blocked crawler cannot cite what it cannot read, regardless of content quality.
  4. Rewrite key page copy to lead with specific, verifiable claims instead of vague marketing language — cited, specific content earns approximately 40% more AI visibility (Princeton GEO study).
  5. Deliberately skip schema markup and llms.txt this week. Controlled evidence shows schema's effect on AI citation is statistically insignificant (−4.6% to +2.2%, Ahrefs, 1,885 pages) and 97% of llms.txt files are never read by AI bots (Ahrefs, 137,210 domains). Spend the week's limited time on the four items above instead.

Notes and sources

1 Yext citation sourcing analysis (6.8 million citations examined), cross-referenced with Qwairy and Profound multi-million-citation studies. Finding cited: ChatGPT draws approximately 49% of local citations from third-party directories; Gemini draws approximately 52% from brand-owned sites. yext.com

2 SOCi 2026 Local Visibility Index. Dataset: 350,000+ business locations, 2,751 brands. Finding cited: AI recommendation rating floors — ChatGPT approximately 4.3 stars, Perplexity approximately 4.1 stars, Gemini approximately 3.9 stars. uberall.com/soci

3 BrightLocal Local Consumer Review Survey 2026. Sample: n=1,002 US consumers. Findings cited: 74% of consumers trust only reviews from the last three months; 32% trust only reviews from the last two weeks. brightlocal.com

4 Princeton GEO (Generative Engine Optimisation) study. Finding cited: content containing citations, statistics, and direct quotes earns approximately 40% more AI visibility than equivalent content without cited evidence.

5 Ahrefs. Two studies cited: (a) Schema markup controlled study — 1,885 pages, difference-in-differences methodology — found that adding LocalBusiness schema moved AI citation rates by −4.6% to +2.2% (range overlaps zero, not statistically significant). (b) llms.txt adoption study — 137,210 domains — found 97% of llms.txt files are never read by AI bots. ahrefs.com

About this series

RaveHQ Insights publishes analysis on the economics of local discoverability.

The five checks in this article — directory accuracy, review rating and recency, crawler access, content specificity — are exactly the signals the RaveHQ audit evaluates automatically in its discoverability and AI-visibility scan. RaveScore itself is built purely from your public Google reviews; the exact weight and source of every one of its five pillars is published in the Scoring methodology.

The free audit takes twenty seconds and requires no account. It flags exactly which of these five items need attention on your specific profile.

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Also in this series: Can AI See Your Business? Inside the New Measurement Problem →

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