First Page Sage review
First Page Sage is a long-running SEO agency that now sells GEO, AEO and AI-search visibility to mid-market and enterprise clients. Its public materials are unusually detailed, but most evidence for GEO performance is produced by the agency itself, including market research, case studies and rankings in which First Page Sage is also a participant.
Reviewed October 2026
Company record
The firm dates to 2009, while its public location records now point to both Berkeley and San Francisco
First Page Sage's current About page identifies Evan Bailyn as founder and CEO and says the company has more than 150 clients, most of them midsized businesses. LinkedIn lists a 51–200 employee range.
The Privacy Policy identifies First Page Sage, LLC at 2930 Domingo Ave. #174, Berkeley, California, and Clutch uses the same Berkeley address. LinkedIn and DesignRush currently display 2155 Union Street in San Francisco. The public pages do not explain which address is the principal operating office.
Sources: First Page Sage company page, Privacy Policy, LinkedIn and Clutch.
GEO origin claim
First Page Sage's own publications do not use one consistent account of who originated GEO
The company profile uses this as part of Bailyn's current biography.
The article places the agency's own entry into the field about fourteen months after ChatGPT's launch.
It then credits a Princeton-led academic study in early 2024 with bringing wider visibility to the term and methodology.
The chronology supports First Page Sage as an early commercial participant in GEO. It does not support treating the stronger “founder of GEO” wording as a settled historical fact.
Sources: current LinkedIn profile, 2025 GEO cost guide and 2026 GEO strategy guide.
How the GEO service is framed
The current model extends SEO into reputation, third-party mentions and AI recommendation visibility
First Page Sage's GEO service page describes six activities rather than a separate reputation-remediation product.
The agency seeks inclusion and stronger placement in third-party comparison and ranking articles.
Work includes getting company or product information into established databases that may be used by search and AI systems.
Traditional search authority remains part of the model, with Google and Bing visibility treated as relevant to AI recommendations.
Public review scores are treated as one of the inputs that can affect whether a company is recommended.
Awards, accreditations, company size and usage statistics are promoted as factual reputation attributes that AI systems may surface.
The service also tracks public discussion about the company and incorporates that material into ongoing optimization work.
The service page presents relative importance and causal relationships as operational findings. It does not provide platform documentation from OpenAI, Google, Anthropic or Perplexity validating the weighting of these factors, so buyers should ask how each recommendation is tested and measured in their own category.
Source: First Page Sage GEO service page.
Self-published agency rankings
First Page Sage ranks itself first in a 2026 study produced by its own research team
In October 2026, First Page Sage published a ranking of 108 GEO and AEO agencies and assigned itself the top position with a composite score of 92.1. The methodology is described in detail, but several underlying inputs are not available for independent inspection.
The study says it used standardized prompt testing, agency websites, private CMO communities, client-lifetime databases, live demos and reviews or commentary from closed networks.
The page says Clutch and G2 were excluded because of concerns about their review incentives. It does not publish the raw private-community evidence or an external audit of the composite scores.
Pricing and commitment
The agency publishes a GEO price range, but it appears inside its own market research rather than a standalone rate card
First Page Sage's October 2026 pricing study lists its own GEO/AEO service at $6,000–$12,000 per month. The same table describes the commercial model as monthly deliverable credits and month-to-month engagement.
Company-published GEO/AEO pricing as of October 2026.
Industry service pages also state that production begins after the first planning month.
The profile covers the broader agency rather than GEO alone and currently has no client reviews.
Reputation Insider did not locate a public client-services agreement specifying cancellation notice, refunds, ownership of created content, third-party placement costs or post-termination access to tracking data. Month-to-month language alone does not answer those questions.
Sources: First Page Sage 2026 GEO/AEO pricing study, current SEO service page and Clutch.
Evidence quality
The agency publishes detailed GEO case studies, while independent GEO-specific verification remains limited
The AI writing-assistant case, for example, reports monthly qualified business leads increasing from 214 to 2,640 and a change in how AI assistants described the product. The client is not named on the case-study page, so the figures cannot be matched publicly to the client's own reporting.
First Page Sage publicly names companies including Salesforce, Microsoft, U.S. Bank, Logitech and Cadence. The site does not state that every named client bought GEO or AI-reputation work.
BBB currently gives First Page Sage an A+ rating and lists it as not accredited. BBB's rating is not a customer-review score.
Sources: First Page Sage case studies, AI writing-assistant GEO case, Clutch, DesignRush, Birdeye and BBB.
Buyer diligence
GEO procurement should make the measurement method part of the contract
Define which prompts, languages, markets and buyer personas are being tested before work begins.
AI answers change across model versions and sessions. Reporting should preserve enough detail to reproduce a claimed improvement.
Separate citation share, brand mentions, recommendation frequency, ranking position and qualified pipeline rather than combining them into one visibility score.
The current GEO model includes list placement and third-party authority building, so the proposal should identify external costs and disclosure requirements.
Month-to-month work should still specify cancellation notice, ownership of created assets and access to measurement data after termination.
Reputation Insider verdict
First Page Sage offers a defined GEO methodology, but buyers should separate its research output from independent proof
The service is built around search authority, third-party references, reviews and monitoring rather than a narrow technical optimization product. That makes the model relevant to companies concerned with how AI systems describe and recommend them.
The main evidentiary limitation is provenance. First Page Sage produces much of the research used to explain the market, publishes its own performance data and ranks itself against competitors. A buyer can still evaluate the work, but the contract should rely on reproducible account-level testing and client-specific baselines rather than category claims published by the agency.
