Formula Won Labs

[ Generative Engine Optimization ]

Get Cited by ChatGPT, Gemini, Claude, and Perplexity

Customers ask AI for recommendations now. If your business doesn't show up, you're invisible to a search surface that didn't exist three years ago. We fix the source data those engines read from, restructure your site for direct citation, and track your visibility weekly so you know exactly where you stand on every engine.

How AI Finds Local Businesses

Google Business Profile

Not appearing in local search results

AI

ChatGPT

Can't recommend what it can't find

G

Gemini · Siri · Perplexity

Blocked at source

Fix the source. The rest follows. Every AI assistant pulls local business data from Google. Rank there, and you appear everywhere.

Your Google profile powers

Google Maps

reads your profile, decides ranking

ChatGPT

reads Google, decides who to recommend

Gemini / Siri

reads Google, powers iPhone search

If your profile is weak, Google hides you. AI ignores you. Competitors get the call.

Visibility Radius

AI ready
You rankCompetitor ranks

Expand your Google Business reach

Get found by AI search

[ Why This Matters ]

SEO ranks pages. GEO gets your business cited.

4

AI engines now influence local business decisions: ChatGPT, Gemini, Claude, Perplexity

~3,000

monthly searches on AI engines for "chatgpt seo" alone — 5x the Google volume for the same term

0%

is where most local businesses sit today on category-level AI prompts. Including ours, before we started.

Traditional SEO optimizes a webpage for Google's blue links. GEO optimizes the entire data chain — your Google Business Profile, citations, schema, and content structure — so the four AI engines can extract you and recommend you when someone asks. The work overlaps with SEO but the deliverable is different: a citation, not a click.

[ The Problem ]

Why most businesses are invisible to AI engines

Customers ask ChatGPT, Gemini, or Perplexity for recommendations and your business does not appear in the answer.

AI engines start from Google. Your competitors get cited because their Google data is cleaner than yours.

Your website is structured for blue-link SEO, not for direct citation. LLMs read it but they do not quote it.

You have no way to measure AI visibility week over week, so you cannot tell whether anything is improving.

Generic AI advice says "add schema" without specifying what, where, or why. That is the easy part. The hard part is the source data.

[ How We Fix It ]

Get cited, not just indexed

We baseline your visibility across all four engines on the prompts your customers actually use, not generic test queries.

We fix the source layer first — Google Business Profile, citations, schema — because every AI engine reads from it.

We restructure your existing pages for LLM extraction: FAQ headings, semantic triples, and list-format answers that get quoted directly.

We build topic pillars on the categories where you have real authority and demand-validated search volume.

We track your visibility every Monday on the same dashboard we run on ourselves. You see movement in real time.

[ Our Own Baseline ]

We measure ourselves before we measure you

Most agencies sell AI visibility without showing their own. We publish ours. As of our latest run, Formula Won Labs is at 6.2% overall visibility across the four engines on 28 demand-validated category prompts — and 100% of those mentions are when our brand name is already in the question. On unbranded category searches like "best local SEO agency" or "generative engine optimization," we're at 0%. Same as you'd be when you start.

We track this every Monday on the same dashboard you'd see for your business. The 90-day plan is to move from 0% to 25-40% on the highest-priority categories. You'll see our weekly numbers move alongside yours.

[ What's Included ]

The full GEO stack, run for you

4-Engine AI Visibility Baseline

We measure your visibility across ChatGPT, Gemini, Claude, and Perplexity on the exact prompts your customers use. The output is a per-engine percentage and a list of which competitors are getting cited instead. We run this on ourselves every Monday and we run it on you the same way.

Source Layer Repair

All four AI engines start from Google. If your Google Business Profile has the wrong category, missing services, thin reviews, or inconsistent citation data, no amount of website work will help. We fix the source first: GBP, directory citations, schema, and review velocity.

Schema Built for LLM Extraction

Service, Organization, FAQPage, and LocalBusiness schema in JSON-LD on every page that needs it. We write properties LLMs actually parse: areaServed, serviceType, hasOfferCatalog, knowsAbout. Not the dump-everything approach that bloats pages and trains nothing.

Topic Pillars That Get Cited

LLMs cite pillar pages with depth, not 50 thin city pages. We identify the 5 to 8 topics where your business has authority, then build pillar pages structured for extraction: clear definitions, comparison tables, FAQ sections, and internal links to evidence pages.

Q&A Content for Direct Citation

Conversational AI quotes content that already looks like an answer. We restructure your existing pages with H2/H3 question headings, semantic triples in the first sentence (subject - verb - object), and list-format answers that LLMs lift verbatim into their responses.

Weekly Tracking Dashboard

Every week your visibility runs again. You see which engines cite you, which prompts you've moved on, and which competitors fell off. Same dashboard structure we use to track Formula Won Labs, so you can see the same trend lines in real time.

[ How It Works ]

Source layer first, then distribution, then tracking

01

AI Visibility Baseline

We pull your current visibility across ChatGPT, Gemini, Claude, and Perplexity on a custom prompt set built from your category, services, and city. The output is a per-engine percentage, the prompts you appear on, and the competitors getting cited instead.

02

Fix the Source Layer

Every AI engine reads Google. We rebuild your Google Business Profile, fix or add citations on the directories LLMs train against, and add schema where it's missing. This is unglamorous work, but it's what moves the needle.

03

Build the Distribution Layer

We pick 3 to 5 topic pillars where you have real authority and demand-validated search volume, then build pillar pages structured for LLM extraction. FAQ blocks, semantic triples, comparison tables, and internal linking. Pages LLMs cite, not pages they ignore.

04

Track Weekly, Adjust Monthly

Every Monday your visibility runs again. We adjust based on what's moving and what isn't, just like we do with our own dashboard. You get a monthly call to walk through the numbers and decide what to push next.

[ Related Reading ]

How GEO actually works

GEO sits on top of strong local infrastructure. Most clients also need GBP management and local SEO running underneath. We scope these together when the audit shows the source layer is the constraint.

Frequently Asked Questions

Generative engine optimization (GEO) is the practice of getting your business cited by AI engines like ChatGPT, Gemini, Claude, and Perplexity when someone asks them for a recommendation. It overlaps with SEO but the deliverable is different. SEO ranks a webpage in the blue links. GEO gets your business name extracted into an AI-generated answer. The work involves three layers: fixing the source data those engines read from (Google Business Profile, citations, schema), restructuring your site for direct extraction (FAQ blocks, semantic triples, pillar pages), and tracking your visibility across all four engines on the prompts your customers actually use.

Find out where you're losing calls

Enter your website and we'll score your Google Maps visibility, AI search presence, and review strength against your top competitors. Free. Takes 30 seconds.

No contract. No credit card. No sales pitch unless you want one.