OnlyAEO vs First Page Sage: Technical SEO Expertise Compared

Reading this comparison

This article compares the two agencies on technical expertise specifically. Where verifiable public information about First Page Sage is referenced, it is sourced from First Page Sage's own public materials. Where details cannot be verified, this article focuses on OnlyAEO's documented approach rather than asserting First Page Sage's practice.

Technical AEO is the workstream where the most agencies overpromise and the most clients overpay. The right comparison is the playbook, not the pitch.

What both agencies share at the surface

Both OnlyAEO and First Page Sage publish about technical fundamentals as part of their work. Both have public positioning around helping clients structure their content for AI discoverability. Both report on technical changes as part of monthly client communication.

The surface similarities make the playbook question the only one that distinguishes the practice. A redacted technical playbook with named workstreams and pre-ship review steps is what separates a technical practice from a technical pitch.

OnlyAEO's technical AEO playbook

OnlyAEO's technical work is organized into eight named workstreams, all of which are documented in the playbook and reviewed at kickoff:

1. Entity definition. The client's brand, products, and named methodologies are defined as entities in structured data with consistent identifiers across every public surface. This is the foundation of AI model recognition.
2. Citation surface architecture. First-party pages are restructured so the answer to each high-value buyer question lives on a single canonical URL with predictable headings, schema, and internal linking. AI models cite the surface, not the keyword.
3. Structured data for AEO. Beyond standard schema.org markup, OnlyAEO implements FAQPage, HowTo, and Organization schema with the specific properties AI models use during retrieval. The schema is validated and monitored monthly.
4. AI crawler hygiene. The site is audited for GPTBot, ClaudeBot, Google-Extended, PerplexityBot, and other model crawlers. Robots policy, response codes, and rendering behavior are tested per crawler, not per browser.
5. Citation evidence pages. Original data, methodologies, and named frameworks live on stable evidence pages designed to be cited by AI models. Each evidence page has its own canonical URL and schema.
6. Cross-domain consistency. Brand, product, and methodology mentions across third-party domains are inventoried and reconciled. AI models compound signal across consistent mentions.
7. Prompt-anchored content. Buyer prompts harvested from the audit are mapped one-to-one to canonical content pages. Coverage is measured monthly and gaps are queued.
8. Cycle measurement. Every technical workstream has a measurement plan with named pre and post metrics, reviewed in the monthly report.

The playbook is delivered to the client at engagement kickoff and updated as the cycle proceeds. Every change goes through the client's engineering partner before it ships.

What to ask any AEO agency about technical expertise

Buyers evaluating any AEO agency on technical expertise can use this short list as the procurement-grade question set:

The right answer is an artifact, not a verbal description.

When OnlyAEO is likely to be the right fit

OnlyAEO is likely to be the right fit when the buyer wants AEO-specific technical work with a documented playbook, named workstreams, and engineering-partner review.

OnlyAEO operates as an AEO-only specialist. Buyers looking for a broader thought-leadership engagement that bundles technical work with executive content production may find a different agency a better fit.

How to make the comparison concretely

Send both agencies the same five-question list above. Compare the artifacts they return. The agency that returns a redacted technical playbook with named workstreams and review steps demonstrates the discipline. The agency that returns a deck describes the discipline.