F.A.C.T.S: The New E-E-A-T For Franchise Marketers

Google first launched the concept of E-A-T (Expertise, Authoritativeness, Trustworthiness) in 2014. It’s a framework designed to help quality raters apply a helpfulness score to web pages; a manual process conducted by live humans. It was updated in 2022 to include Experience, becoming what we know now as E-E-A-T. 

Although this framework was never explicitly said to apply to business profiles, conceptually it was understood that Google’s algorithm would, in theory, favor these same qualities in recommending a local business.

But now that options for discovering a local business have expanded beyond traditional search engines like Google, to social, LLMs and beyond, there seems to be a desire to rename what we term SEO. Is it GEO? LLMO? What about Social search? Do we need a new name for that? If you’re looking to sell more services, sure.

But you really don’t need to have three or more optimization strategies when all search platforms are ultimately attempting to do the same thing: Provide the best answer. 

That’s why the local search team at SOCi has crafted an updated standard specifically for local search that, like E-E-A-T, aims a spotlight on what constitutes good Search Everywhere Optimization, whether it be on Instagram, ChatGPT, or traditional Google search. Something we call F.A.C.T.S. 

What is F.A.C.T.S. and what does it have to do with SEO?

F.A.C.T.S. stands for Freshness, Authority, Consistency, Trust and Semantic Relevance. 

Freshness refers to any signal that indicates a business is an active participant in their online local presence. Freshness is a proxy for Operational Validity. Algorithms prioritize real-time data to avoid sending users to closed or dormant businesses. A business that hasn’t updated their content in 6+ months can look like a “dead” entity and a risky recommendation, while a business who regularly updates their content and engages with their customers are a safe bet and tend to get priority in local results. 

Authority includes all of the signals that show a business is recognized as a leading provider of the products and services they specialize in. Saying you are an expert isn’t enough. You must demonstrate it. The algorithm looks for visual evidence and comparative data to validate that you actually do what you claim.

Consistency acts as a critical validation signal. When the local information about your business is consistent, it builds the “confidence score” necessary to rank you. When data conflicts, traditional search engines and LLMs may filter you out completely to avoid the risk of serving incorrect or hallucinated information to users.

Trust as a signal is a Risk Assessment. Before an algorithm ranks a business, it looks for signals of spam, fraud, or a poor user experience. Customer reviews, likes and shares on social media, and engagement with listings and local pages are all signals of trust. Local landing pages with technical issues and signs of review incentivization can erode that trust. 

Semantic Relevance refers to content that addresses the deep meaning, context, and intent behind a user’s query rather than just matching specific keywords. Semantically relevant content doesn’t just list out the products or services you offer, they align them with a customer need, and presents a solution only you can provide. 

F.A.C.T.S. is a filter through which all optimization opportunities should be evaluated

Most marketing teams don’t have bandwidth to chase every algorithm rumor. So it’s critical you prioritize the optimizations that deliver the greatest impact. This is where F.A.C.T.S. shifts from being just a concept to a practical, daily tool for your team.

Before investing time into a new local marketing tactic or content update, run it through the F.A.C.T.S. filter. Ask yourself:

• Does this provide an immediate or ongoing signal of Freshness (operational validity)?
• Does it define our business as an Authority in the industry with clear evidence?
• Is the content Consistent with our brand’s source of truth?
• Does it create an opportunity to positively influence Trust signals?
• Does the content carry the Semantic Relevance to match a specific, localized customer need?

If an opportunity doesn’t check these boxes, it moves to the bottom of the priority list.

To see how this works in practice, consider a seemingly simple task: publishing a local post featuring a photo of a recently completed job or a new product, paired with a descriptive caption. When executed correctly, this single action hits every benchmark:

• Freshness: The post creates an immediate, timestamped signal that the specific franchise location is actively operating today.
• Authority: The photo serves as undeniable visual evidence that you are an expert who actually performs the service you claim to specialize in.
• Consistency: The product or service highlighted in the post aligns perfectly with the primary categories and attributes on your official listings.
• Trust: Using a real, authentic photo rather than a polished stock image proves a real-world user experience and easily passes algorithmic spam filters.
• Semantic Relevance: By including a caption that mentions the specific neighborhood and addresses the customer’s problem (e.g., “Fast emergency pipe repair in the Northside district”), you perfectly match the nuanced intent of a local searcher.

When viewed through the F.A.C.T.S. filter, what looks like a basic social post is actually a high-priority, high-impact optimization that builds your confidence score across all platforms.

How can F.A.C.T.S. be applied to your Franchise Marketing Strategy?

When applying the F.A.C.T.S. filter at the franchise level, the goal is to build an error-free foundation that drives relevance and prominence for your entire franchisee network. Your team is responsible for managing the core data, technical health, and brand-wide signals. By locking these elements down at the top, you ensure that every single franchise location easily passes an algorithm’s baseline risk and confidence checks.

• Freshness: Keep the brand’s digital pulse beating across the network. Establish automated feeds that push seasonal updates and national promotions directly to local pages and listings. By systematically archiving outdated content and using APIs to keep baseline operations current, you signal to algorithms that the entire franchise network is alive, managed, and operationally valid.
• Authority: Leverage the power of the brand domain to provide top-level comparative data and evidence of expertise. Anchor every local page to your highly authoritative main website. Feature overarching visual evidence like national press mentions, corporate-level certifications, industry awards, and original research to validate the brand’s claims at scale.
• Consistency: Build the algorithm’s “confidence score” by acting as the absolute source of truth. Audit data aggregators, claim major directory profiles, manage schema markup centrally, and actively suppress duplicate or rogue listings. If the data never conflicts, you eliminate the risk of being filtered out.
• Trust: Pass the algorithm’s risk assessment by maintaining a secure, technically healthy website infrastructure. Deploy compliant, automated review-request workflows that avoid any signs of incentivization. Utilize sentiment monitoring tools to spot recurring poor user experiences or flag spam/fraud attacks before they erode brand trust.
• Semantic Relevance: Move beyond basic product catalogs and build an intent-based content architecture. Create dedicated service pages and comprehensive FAQs that address the deep meaning and common pain points behind customer queries. Structure the corporate site to present the definitive, brand-level solutions that AI tools are looking to cite.

How can Franchise Owners apply F.A.C.T.S. to their local market strategy?

Your Franchise Owners don’t need to be SEO experts, they just need to execute the boots-on-the-ground actions that pass the F.A.C.T.S. filter and signal active community engagement. Here is how you can guide them to focus their limited time on high-impact tasks:

• Freshness: Require a steady cadence of local updates to prove operational validity. Instruct owners to regularly upload fresh photos of the storefront, staff, and products, and actively post about timely community events or day-to-day operations to show the location is highly active.
• Authority: Guide franchisees to provide the local visual evidence that algorithms require. Encourage them to document their work with photos and videos of completed local projects, highlight specific staff credentials, and visibly showcase local community partnerships or sponsorships.
• Consistency: Protect the brand’s confidence score by enforcing strict digital guidelines. Educate owners on the algorithmic risks of data conflicts and clearly prohibit the creation of rogue websites, unofficial social media pages, or unapproved directory listings.
• Trust: Guide franchisees to consistently generate the positive user signals that pass algorithmic risk assessments. Task owners with organically building an ongoing stream of new reviews, fostering local partnerships with neighborhood media or bloggers for earned mentions, and maintaining an active, engaged local social media profile to prove a consistently great user experience.
• Semantic Relevance: Provide frameworks for injecting hyper-local context into business descriptions, social posts and on page content. Instruct owners to naturally incorporate neighborhood names, adjacent local landmarks, and regional colloquialisms to directly match the precise intent and nuances of the local searcher.

The Takeaway for Multi-Location Franchise Brands

The evolution of local discovery, whether driven by traditional search engines, social media algorithms, or emerging LLMs, always circles back to one fundamental goal: providing the user with the most accurate, reliable, and relevant answer. You don’t need a different playbook for SEO, GEO, or social search when all platforms are ultimately evaluating the same core signals.

By adopting the F.A.C.T.S. framework, franchise brands can systematically conquer these algorithmic requirements at scale. It establishes a clear standard for Search Everywhere Optimization, seamlessly blending the work of your marketing team with the authentic, hyper-local engagement of your franchise owners. When you deliver on Freshness, Authority, Consistency, Trust, and Semantic Relevance, you eliminate algorithmic risk and ensure your brand is always recommended as the best possible choice.