None of the four steps below require a developer, a redesign, or a budget. Each one is something a business owner can finish this week, and each is backed by a specific, cited measurement rather than a general best-practice guess — so the order below isn't arbitrary, it follows the size of the effect each fix has shown in the research behind it.
1. Claim and fix your Yelp, Bing Places, and Facebook listings
Yext's citation-sourcing analysis, built from 6.8 million citations, found ChatGPT draws roughly 49% of its local business citations from third-party directories — Yelp chief among them.1 No other single action on this list touches as large a share of what ChatGPT actually cites from. If only one item gets done this week, this is the one with the largest measured upside.
Go to each platform, search the business, and check three things: is the listing claimed, is the category correct, and does the profile have enough content — photos, a real description, a handful of reviews — for a crawler to have something worth citing. An unclaimed listing with a generic category is close to useless even if the business itself is excellent. This can be finished in a single sitting.
2. Build a current, representative review stream
SOCi's 2026 study found observed average ratings of 4.4 stars among ChatGPT recommendations and 4.3 among Perplexity recommendations; Gemini followed Google's 4.2-star average.2 These are not platform thresholds. Compare Google and relevant directory ratings with the actual local businesses customers see, then improve service, recency, response quality, and review coverage together.
If the business trails its visible competitors or has gone quiet, start a steady review request cadence with recent customers and respond to recent feedback. Do not offer incentives or pressure only happy customers. BrightLocal's 2026 survey found 74% of consumers trust only reviews from the last three months and 32% only the last two weeks.3
3. Check robots.txt for AI-search crawler blocks
Visit yourdomain.com/robots.txt and check the effective policy for OAI-SearchBot, Claude-SearchBot, and PerplexityBot. If one is explicitly blocked, that search crawler cannot retrieve the affected pages. If robots.txt is missing, crawling is allowed by default. GPTBot and ClaudeBot are training crawlers, so those privacy choices are assessed separately rather than misreported as search visibility.
A blanket disallow is more common than a targeted one
Most accidental blocks aren't a deliberate decision to exclude AI crawlers — they're a broad User-agent: * / Disallow: / rule added years ago by a site builder or security plugin, before AI crawlers were something anyone was thinking about. If found, removing the rule or adding explicit allow rules for the six crawlers above is typically a five-minute edit.
4. Rewrite your homepage's top paragraph
Read the first paragraph of the homepage as a stranger would. Count adjectives ("best," "trusted," "leading," "premier") against concrete, checkable facts (years in business, a specific service, a specific location, a specific number). The Princeton GEO study found content built around cited, specific claims earns roughly 40% more AI visibility than adjective-led content.4 "Trusted by the community" gives an AI model nothing to cite. "Family-owned since 2003, specializing in same-day emergency repairs" gives it a fact it can quote.
This doesn't require a copywriter — it requires cutting every adjective that isn't attached to a fact and replacing it with a fact that's already true about the business. An afternoon is enough for the homepage and the two or three most important service pages.
What to skip this week
Schema markup and an llms.txt file both get recommended constantly in AEO advice, and both sound like they should matter. The measured evidence this week says otherwise, at least as a priority against the four items above.
Schema and llms.txt: measured, and measured small
Ahrefs tested schema markup's effect on AI citation across 1,885 pages and found a -4.6% to +2.2% range that was not statistically meaningful.5 In a separate study of 137,210 domains, 97% of published llms.txt files received no requests during May 2026.6 Schema is still useful for machine-readable accuracy; llms.txt can remain an optional, low-cost artifact. Neither should be presented as a proven ranking lever.
None of this means schema and llms.txt are permanently pointless — the AI ecosystem changes fast, and a null result today isn't a null result forever. It means that in a week with limited hours, the four items above have a measured, larger effect, and schema/llms.txt can wait for a week with more time.
"Directories, reviews, crawler access, content — in that order — move AI visibility by measured, meaningful amounts. Schema and llms.txt, measured the same way, currently don't. Spend the week on the four that do."
Notes and sources
1 Yext local citation-sourcing analysis, 6.8 million citations examined. Finding cited: ChatGPT draws ~49% of local citations from third-party directories (Yelp chief among them). yext.com
2 SOCi, The Factors Driving AI Invisibility, 2026. Dataset: 350,000+ locations, roughly 3,000 brands, and 3.2 million queries. Observed averages among recommended locations: ChatGPT 4.4★, Perplexity 4.3★; Gemini followed Google's 4.2★ average. These are not thresholds. soci.ai
3 BrightLocal Local Consumer Review Survey 2026. Sample: n=1,002 US consumers. Findings cited: 74% of consumers trust only reviews from the last 3 months; 32% trust only the last 2 weeks. brightlocal.com
4 Princeton GEO (Generative Engine Optimization) study. Finding cited: content built around cited, specific claims earns roughly 40% more AI visibility than generic, adjective-led content.
5 Ahrefs schema markup study. Dataset: 1,885 pages. Finding cited: schema markup's measured effect on AI citation ranged from -4.6% to +2.2%, not statistically significant. ahrefs.com
6 Ahrefs llms.txt study, 2026. Dataset: 137,210 domains. Finding cited: 97% of published llms.txt files received no requests during May 2026. ahrefs.com/blog/?p=198700