diff --git a/docs/early-thinking/README.md b/docs/early-thinking/README.md index 08b37e1..ed0fad9 100644 --- a/docs/early-thinking/README.md +++ b/docs/early-thinking/README.md @@ -1,5 +1,21 @@ -# Early Thinking Folder — geolocal.io +# Early Thinking — geolocal.io -Raw conversation history, initial brain dumps, competitive analysis, and early explorations (e.g., the full conversation.md archive). +Raw conversation history, initial brain dumps, and early explorations. -For context and continuity. Not polished; reference NORTH_STAR.md for current direction. \ No newline at end of file +## Status: Historical Reference + +These files were the foundation for the published docs below but are **now superseded**: + +| Early File | Superseded By | +|------------|---------------| +| `01-Domain-Naming.md` | `NORTH_STAR.md` | +| `02-Business-Concept-and-GTM.md` | `docs/gtm/ChannelStrategy.md` + `Ideal Customer Profile.md` | +| `03-Booking-and-Payment-Platform-Options.md` | `docs/engineering/technical roadmap.md` | +| `04-Market-Deconstruction-and-Competitive-Landscape.md` | `docs/gtm/Competitive Intelligence.md` | +| `05-MCP-Architecture-and-Technical-Strategy.md` | `docs/engineering/technical roadmap.md` | +| `06-Steelman-and-Risk-Assessment.md` | `docs/gtm/Competitive moats and risks.md` | +| `07-Bi-Directional-MCP-and-Data-Verification.md` | `docs/legal/Data Flow & Privacy.md` | +| `08-Conclusions-and-Execution-Plan.md` | All published docs | +| `RAWDUMP-conversation.md` | Archived source conversation | + +**For current direction, reference the published docs — not these files.** diff --git a/docs/gtm/Market Data & Analysis.md b/docs/gtm/Market Data & Analysis.md deleted file mode 100644 index b44972d..0000000 --- a/docs/gtm/Market Data & Analysis.md +++ /dev/null @@ -1,128 +0,0 @@ -# Market Data & Analysis - -## 1. The AI Local Discovery Shift - -The local business discovery landscape is undergoing a structural transformation driven by Generative AI. In just one year, consumer adoption of AI for local business discovery has increased more than sevenfold. - -### Key Adoption Metrics - -- **45% of consumers** now use AI tools (ChatGPT, Gemini, Perplexity) to find local businesses—up from just **6% one year earlier** [1]. This represents one of the fastest behavioral changes ever recorded in consumer search history [1]. -- **AI is now the third most-used business discovery channel**, behind only Google and Facebook. It has already passed Yelp and TripAdvisor [1]. -- **44% of AI-search users now consider AI their primary information source**—ahead of traditional search at 31% [1]. -- **31% of consumers use AI tools for local business recommendations** on at least a monthly basis. Only 19% said they wouldn't consider using AI to find a local business [1]. -- **63% of active AI users trust AI recommendations** for local businesses, and **64% trust AI as much as they trust online reviews** [1]. -- **58% of consumers have tried AI tools for local business recommendations** [1]. -- **ChatGPT alone has roughly 900 million weekly active users**—a platform that didn't exist four years ago [2]. - -### The Traditional Search Decline - -The shift to AI is cannibalizing traditional search at an accelerating rate. - -- **Gartner forecasts a 25% decline in search engine query volume by 2026** due to AI adoption [3]. -- **40.16% of local business queries now trigger Google's AI Overviews** [4]. -- **Google AI Overviews reduce clicks for position-one pages by 58%** [5]. -- **ChatGPT processes over 2.5 billion daily queries** [2]. -- **Princeton University researchers found that optimizing for AI systems can increase visibility by up to 40%** [6]. - -### Consumer Search Behavior - -Most local business journeys start on mobile and involve multiple channels. - -- **73% of local business searches start on mobile** devices [1]. -- **75% of consumers use more than one channel** during their local business search—Google remains the most important, but social media (30%), AI tools (23%), and review sites (19%) are all part of the mix [1]. -- **52% of consumers start their most recent local business search on Google Search**, with a further **9% on Google Maps** [1]. -- **46% of all Google searches have local intent**, representing approximately **1.5 billion "near me" searches every month** [7]. - - -## 2. The "98.8% Problem": The Visibility Gap - -Despite massive consumer adoption, the overwhelming majority of local businesses are completely invisible to AI recommendation engines. - -### The Gap Between Traditional Search and AI Discovery - -- **ChatGPT recommends just 1.2% of local businesses**—based on SOCi's 2026 Local Visibility Index analyzing over 350,000 business locations [8]. -- By contrast, **Google's local 3-pack surfaces 35.9%** of those same businesses—a 30x visibility gap [8]. -- **Gemini recommends 11%** of local business locations; **Perplexity recommends 7.4%** [8]. -- **88% of multi-location businesses remain misrepresented or absent from AI recommendations** entirely [8]. - -### Google Ranking Does NOT Equal AI Visibility - -- **Only 45% of retail brands** performing well in traditional local search also appear in AI recommendations—strong performance in Google does not guarantee AI visibility [8]. -- **LLMs cite webpages ranking at position 21+ in traditional search nearly 90% of the time**—the platforms consumers now use consult a fundamentally different list than traditional SEO was designed to influence [9]. -- **68% of business contact information on ChatGPT and Perplexity does NOT match Google Business Profile details**—meaning 32% of businesses are being actively misrepresented [8]. -- **SEMrush research shows that ChatGPT citations come from sources ranking outside the top 20 in traditional search** [10]. - - -## 3. The Trust & Data Gap - -AI systems rely on structured, verified data to make recommendations. - -### The Verification Problem - -- **Only 18% of consumers who use AI for local searches feel ready to contact the business recommended** by the AI tool. The remainder continue to research using Google and other channels to verify details [1]. -- **Of consumers who start their search on an AI tool, just 2% use it as their only channel**. **43% go on to check Google**, and **39% look at social media** before making a decision [1]. -- **95% of consumers will not book a business directly from an AI recommendation** without performing at least one manual verification step [11]. -- **LLM visitor conversion rates run 9 times higher than traditional organic visitors**—AI traffic is high-intent, but only after trust is established [12]. - -### What Gets Businesses Into the 1.2% - -SOCi's research identified factors that consistently differentiate businesses appearing in AI recommendations [8]: - -1. **4.3-star average rating or higher**—businesses below 4.0 stars are effectively excluded from AI consideration. -2. **Consistent, high-quality visibility across multiple ecosystems** (Google Maps, Yelp, Facebook, brand websites) rather than strength in a single channel. -3. **Consumer sentiment as a gating factor**—AI platforms heavily rely on reviews to assess trust and relevance. -4. **Accurate, consistent business information** across all platforms. - - -## 4. Market Risks & Vulnerabilities - -### Why Incumbents Are Vulnerable - -- **Yelp is dependent on Google for distribution**, having filed extensive regulatory complaints documenting Google's self-preferencing behavior that suppresses Yelp's visibility [13]. -- **Consumers don't trust AI alone**—95% verify before transacting, meaning AI visibility alone doesn't guarantee conversion [11]. -- **The platforms that dominate local AI discovery are fragmented**—ChatGPT uses Foursquare/Reprompt, Gemini uses Google Maps, and others use a mix of sources. This fragmentation creates a gap for a unified, direct business-to-AI connection [14]. -- **The MCP standard is creating a new channel** that bypasses the need for data licensing and scraping—businesses can expose their own structured data directly to AI agents [15]. - -### The Cost of Invisibility - -- The cost of invisibility in AI-driven discovery is absolute—there is no fallback list and no second page. If a brand isn't selected by an AI assistant, it is effectively invisible at the moment a consumer is ready to decide [8]. -- **AI has collapsed the local decision journey**—consumers aren't scrolling through options anymore; they're asking AI to decide for them [1]. -- **Forrester found that 95% of B2B buyers plan to use generative AI in future purchase decisions**, yet most companies remain unprepared for this shift [16]. - - -## 5. Key Metrics Summary - -| Metric | Value | Source | -| :--- | :--- | :--- | -| Consumers using AI for local recs | 45% (up from 6% YoY) | [1] | -| Local businesses recommended by ChatGPT | 1.2% | [8] | -| Local businesses in Google 3-pack | 35.9% | [8] | -| Local queries triggering Google AI Overviews | 40.16% | [4] | -| Data accuracy gap (ChatGPT vs. Google) | 68% match | [8] | -| Gartner forecast search volume drop | 25% by end of 2026 | [3] | -| ChatGPT weekly active users | 900 million | [2] | -| Mobile local search starts | 73% | [1] | -| Consumers who verify AI recs before booking | 95% | [11] | -| Organic CTR drop with AI Overview | −58% | [5] | - - -## 6. Citation Table - -| ID | Source | -| :--- | :--- | -| [1] | BrightLocal, "The Rise of AI in Local Search," 2026 | -| [2] | OpenAI, "ChatGPT Weekly Active Users," February 2026 | -| [3] | Gartner, "Forecast: Search Engine Query Volume," 2025 | -| [4] | Local Falcon / Conductor, "Local Search AI Overviews Data," 2026 | -| [5] | Ahrefs, "Impact of AI Overviews on Organic CTR," 2026 | -| [6] | Princeton University, "Optimizing for Generative AI Systems," 2025 | -| [7] | Statista / Google, "Local Search Statistics," 2025 | -| [8] | SOCi, "2026 Local Visibility Index," 2026 | -| [9] | BrightLocal / SOCi, "LLM Citation Source Analysis," 2026 | -| [10] | SEMrush, "ChatGPT Citation Source Ranking Analysis," 2025 | -| [11] | BrightLocal / Ahrefs, "Consumer Trust in AI Recommendations," 2026 | -| [12] | HubSpot, "LLM vs. Organic Conversion Rates," 2025 | -| [13] | Yelp, "ACCC Google Complaint Filing," 2024–2025 | -| [14] | SparkToro / GMBapi, "ChatGPT Local Data Source Analysis," 2025 | -| [15] | Anthropic, "Model Context Protocol Documentation," 2024–2026 | -| [16] | Forrester, "Generative AI in B2B Buying," 2025 | \ No newline at end of file diff --git a/docs/gtm/Partner One-Pager.md b/docs/gtm/Partner One-Pager.md index 3573f80..45a254b 100644 --- a/docs/gtm/Partner One-Pager.md +++ b/docs/gtm/Partner One-Pager.md @@ -100,3 +100,7 @@ Or reply to this one-pager — we'll get you set up and your first client live i > *"You're already helping your clients dominate Google. Now help them dominate AI — and earn recurring revenue doing it."* **geolocal.io** — The AI discovery layer for local commerce + +--- + +> *Full market data and citations: [Market Data & Analysis](../investors/Market%20Data%20&%20Analysis.md)* diff --git a/docs/gtm/README.md b/docs/gtm/README.md index 6277d79..35e8968 100644 --- a/docs/gtm/README.md +++ b/docs/gtm/README.md @@ -10,7 +10,6 @@ Partner-first go-to-market strategy and collateral. | [Channel Strategy](./ChannelStrategy.md) | 3-pronged distribution: agencies, vertical subdomains, SEO | | [Sales and Marketing](./Sales%20and%20marketing.md) | Playbook, messaging, funnel | | [Competitive Intelligence](./Competitive%20Intelligence.md) | Competitor mapping and positioning | -| [Market Data & Analysis](./Market%20Data%20&%20Analysis.md) | TAM, SAM, SOM | | [Competitive Moats & Risks](./Competitive%20moats%20and%20risks.md) | Defensibility and threat analysis | | [Partner One-Pager](./Partner%20One-Pager.md) | Agency sell-sheet (ready to send) | diff --git a/docs/gtm/Sales and marketing.md b/docs/gtm/Sales and marketing.md index 69313ad..4c720f0 100644 --- a/docs/gtm/Sales and marketing.md +++ b/docs/gtm/Sales and marketing.md @@ -218,4 +218,9 @@ With `geolocal.io`: | **Partner-sourced ARR** | 20% | 35% | 45% | | **Average clients per partner** | 5 | 15 | 30 | | **Time to first client** | < 30 days | < 20 days | < 15 days | -| **Partner NPS** | 40+ | 50+ | 60+ | \ No newline at end of file +| **Partner NPS** | 40+ | 50+ | 60+ | + +--- + +> *Full market data and citations: [Market Data & Analysis](../investors/Market%20Data%20&%20Analysis.md)* +> *Full competitive analysis: [Competitive Intelligence](./Competitive%20Intelligence.md)* \ No newline at end of file