AI assistants recommend specific businesses and ignore others. That gap isn't random — it's measurable. The AI Ranking Factors index exists because we decided to find out exactly what fills it.
This is the story of how that index got built, what's in it, and why it matters if you want your business to show up when a potential customer asks an AI assistant for a recommendation.
When a customer types "best accountant near me" into an AI assistant, something happens inside that system before it answers. It pulls signals from dozens of sources — your website, your profiles, third-party mentions, review platforms, structured data — and it weighs them against each other to decide who's trustworthy enough to recommend.
Nobody published a rulebook for that process. So we built one from scratch.
We started by auditing real local businesses across multiple categories and markets. Not theoretical businesses. Real ones, with real profiles, real websites, and real inconsistencies. We ran those audits repeatedly, tracked which signals correlated with AI visibility, and refined our model with every iteration.
The result is an index of more than 150 individual, measurable ranking factors.
Every factor in the index falls into one of five categories. Together, they mirror the way AI systems actually assess a local business's credibility and relevance.
AI assistants pull heavily from structured profile data — business directories, maps platforms, industry listings. An incomplete or inconsistent profile is a signal of unreliability. We test for completeness, consistency across platforms, and whether the data an AI is likely to encounter matches what you actually offer.
It's not just your star rating. Volume, recency, sentiment, owner response behavior, and the presence of reviews across multiple platforms all factor into how an AI weighs your reputation. A business with 200 reviews on one platform and nothing anywhere else looks thinner than one with 80 reviews distributed across five credible sources.
This is one of the most underestimated categories. AI systems are essentially pattern-matching engines — they get more confident about a business when they see it mentioned consistently across independent sources. Local news coverage, industry associations, partner websites, event listings, and niche directories all contribute to this corroboration signal. If the only place that talks about your business is your own website, that's a gap.
Your website needs to communicate clearly to both humans and the systems that index and interpret it. We test for factors like structured data markup, clear service and location declarations, page load characteristics, and whether a machine can accurately extract who you are, what you do, and where you operate — without guessing.
Licenses, certifications, professional memberships, awards, and media mentions all function as third-party endorsements. When an AI assistant is deciding whether to recommend a business, these signals act as social proof from sources it already trusts. We identify which credentials are indexed, which are missing, and which are present but not findable by machines.
Inside each category, individual factors are scored independently. Some examples of what we measure:
Each factor gets a score. Those scores roll up into a composite AI Visibility Score for the business. That score is a starting point, not a verdict — it tells you where you stand and, more importantly, where to focus.
The distinction matters. A lot of AI visibility advice is extrapolated from SEO principles or inferred from how large language models work in general. That's not useless, but it's not the same as testing real businesses and watching what actually moves the needle.
Our analysis is grounded in observed patterns across real audits. The factors we weight most heavily are the ones we've seen correlate with AI recommendation visibility. The ones we've deprioritized are the ones that sound logical but don't show up in the data.
We keep refining. AI assistants are updated. New platforms emerge. The index gets updated too.
Local search behavior is shifting faster than most business owners realize. A growing share of "find me a business" queries are going to AI assistants rather than traditional search results. The businesses that show up in those answers aren't the ones who got lucky — they're the ones whose digital presence is structured, consistent, and credible enough for a machine to trust.
The 150-factor AI Ranking Index exists because visibility in AI recommendations is not a mystery. It's an engineering problem. And engineering problems have solutions.
You don't have to fix everything at once. You have to know what you're fixing and why — and that's exactly what the index is designed to tell you.