{"id":11252,"date":"2026-08-05T08:34:52","date_gmt":"2026-08-05T14:34:52","guid":{"rendered":"https:\/\/attentionmedia.io\/?p=11252"},"modified":"2026-08-05T08:34:52","modified_gmt":"2026-08-05T14:34:52","slug":"why-the-f-a-c-t-s-model-is-the-key-to-search-everywhere-optimization-by-soci","status":"publish","type":"post","link":"https:\/\/attentionmedia.io\/?p=11252","title":{"rendered":"Why the F.A.C.T.S. model is the key to search everywhere optimization by SOCi"},"content":{"rendered":"
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For years, Google has used the E-E-A-T framework<\/a> to assess the quality of web content. The acronym stands for Experience, Expertise, Authoritativeness, and Trustworthiness.<\/p>\n

Google recommends that content creators follow E-E-A-T principles because they signal value to searchers and align with what Google\u2019s search algorithms are designed to reward.<\/p>\n

Another long-standing Google framework is Relevance, Distance, and Prominence. Google identifies these three signals in its document, Tips to Improve Your Local Ranking on Google<\/a>, as the primary factors that influence local search rankings.<\/p>\n

Frameworks like these can help you identify what to improve to boost search rankings. But until now, there hasn\u2019t been a comparable framework for AI visibility or one that reflects the priorities of multi-location marketers across search, social, reputation, and AI \u2014 the integrated approach we\u2019ve come to call search everywhere optimization.<\/p>\n

That\u2019s why we developed the F.A.C.T.S. model<\/a>. F.A.C.T.S. stands for the five factors we believe matter most in a holistic strategy: Freshness, Authority, Consistency, Trust, and Semantic Relevance.<\/p>\n

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Freshness<\/h2>\n

Freshness refers to how recently you publish content on your website and third-party profiles like Google, Yelp, and Facebook. Fresh content matters to people, and search engines and AI platforms also strongly favor it.<\/p>\n

The average URL cited by AI platforms is 25.7% newer than those cited in traditional search, a recent Ahrefs study found<\/a>. More than 70% of AI-cited pages were updated within the past 12 months, according to AirOps; meanwhile, 76.4% of ChatGPT\u2019s top-cited pages were updated within the past 30 days, SE Ranking found.<\/p>\n

Authority<\/h2>\n

On this point, our model is similar to Google\u2019s. Authority reflects how a brand demonstrates leadership in its industry.\u00a0<\/p>\n

For example, if you\u2019ve been in business since 1963, listing that in your Google profile signals authority. Trusted sources can also reinforce it, including professional certifications, best-of lists, and positive coverage in online publications.<\/p>\n

Because authority is a complex signal, definitive research on its importance can be hard to find. Its inclusion in E-E-A-T underscores its significance, and Google\u2019s Prominence factor in local search describes a similar concept.\u00a0<\/p>\n

Brands publishing authoritative content in their area of expertise and earning recommendations from trusted online sources are 40% more likely to appear in AI answers<\/a> than brands missing either factor, AirOps found.<\/p>\n

Consistency<\/h2>\n

In local visibility, consistency has evolved. It once meant listing each location\u2019s name, address, phone number, and website uniformly across as many directories as possible. As the directory landscape contracted and Google grew dominant, these long-tail citations became largely irrelevant.<\/p>\n

But AI\u2019s need to ground answers in trusted sources has renewed the importance of managing your brand\u2019s presence across multiple platforms \u2014 not hundreds of directories, but the handful of sources AI platforms are most likely to cite for local queries.<\/p>\n

Google Maps, business websites, Yelp, and Facebook (in that order) are the sources most often cited for local queries on ChatGPT, Gemini, and Perplexity, SOCi\u2019s research<\/a> indicates. However, top sources vary by industry, and individual brands may have citation profiles that differ from the norm.<\/p>\n

Our Local Visibility Index<\/a> shows that inconsistency is a key driver of inaccurate AI mentions and weak brand visibility. While 98% of the brand locations studied had claimed Google profiles, only 80% had claimed Yelp profiles, and just 53% managed Facebook store pages. As a likely result, LLM citations for local brands are only about 79% accurate.<\/p>\n

Trust<\/h2>\n

We use trust to describe signals from outside the brand that reflect approval from both consumers and experts. In local search, trust is conveyed largely through ratings and reviews on platforms like Google and Yelp, which AI platforms use as a primary factor when recommending local brands.<\/p>\n

Our Consumer Behavior Index<\/a> shows that 92% of consumers consult online reviews when choosing a local business. Reflecting this behavior, AI tools use reviews to assess how highly customers regard a brand. The Local Visibility Index found that businesses recommended by ChatGPT average 4.4 stars, compared with 4.2 stars on Google and 3.1 stars on Yelp. AI platforms are setting a higher standard for inclusion in a more selective set of results.<\/p>\n

Semantic Relevance<\/h2>\n

Like authority, semantic relevance is complex but can be summarized with one question: Does your brand \u2014 across its website, local landing pages, online profiles, and posts \u2014 answer every question ideal customers may have before choosing it over a competitor?<\/p>\n

As with many F.A.C.T.S. factors, this matters more than ever in an AI context. The average traditional search query is four words, while the average AI query is 23, according to Orbit Media<\/a>. Consumers using AI ask longer, more nuanced questions, so brands must create detailed, useful content to avoid exclusion.<\/p>\n

F.A.C.T.S. is a filter through which all optimization opportunities should be evaluated<\/h2>\n

Most marketing teams don\u2019t have time to chase every algorithm rumor. You must prioritize the optimizations with the greatest impact. This is where F.A.C.T.S. becomes a practical, daily tool for your team.<\/p>\n

Before investing in a new local marketing tactic or content update, run it through the F.A.C.T.S. filter. Ask:<\/p>\n