OnlyAEO vs Conductor: Technical SEO Expertise Compared
How OnlyAEO and Conductor compare on technical expertise, with a focus on the technical AEO disciplines that move citation rates in 2026 and how OnlyAEO documents them as audited artifacts.

Key Highlights
- OnlyAEO is publicly positioned as an AEO-only agency. Conductor is publicly positioned as an enterprise organic-marketing platform. The two solve different problems and any honest comparison starts there
- Technical AEO is a distinct discipline from technical SEO. The two share vocabulary but diverge on entity building, structured citation surfaces, and AI model crawl semantics
- OnlyAEO's technical work is delivered as a documented eight-workstream playbook reviewed with the client's engineering partner at kickoff, with every change going through a pre-ship review
- Buyers comparing the two should clarify whether they need an enterprise SEO platform or a managed AEO engagement, then evaluate each on the relevant criteria
Reading this comparison
This article compares the two on technical expertise specifically. Where verifiable public information about Conductor is referenced, it is sourced from Conductor's own public materials. Where details cannot be verified, this article focuses on OnlyAEO's documented approach rather than asserting Conductor's practice.
Technical AEO and technical SEO are both real disciplines, but they are not interchangeable. The right comparison starts with what the buyer is trying to accomplish.
What both touch at the surface
Both OnlyAEO and Conductor publish about technical fundamentals as part of their work. Both have public positioning around helping enterprises operate at scale on technical discoverability. Both report on technical changes to clients as part of monthly reporting.
Past the surface, the operating models diverge. An enterprise SEO platform delivers software the in-house team operates. An AEO-only agency delivers managed work that produces audited citation movement across AI models.
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:
- Entity definition. Brand, products, and named methodologies defined as entities with consistent identifiers across every public surface, which is the foundation of AI model recognition.
- Citation surface architecture. First-party pages restructured so the answer to each high-value buyer question lives on a single canonical URL with predictable headings, schema, and internal linking.
- Structured data for AEO. FAQPage, HowTo, and Organization schema implemented with the specific properties AI models use during retrieval, validated and monitored monthly.
- AI crawler hygiene. The site audited for GPTBot, ClaudeBot, Google-Extended, PerplexityBot, and other model crawlers, with robots policy and rendering behavior tested per crawler.
- Citation evidence pages. Original data, methodologies, and named frameworks living on stable evidence pages designed to be cited, each with its own canonical URL and schema.
- Cross-domain consistency. Brand and product mentions across third-party domains inventoried and reconciled, because AI models compound signal across consistent mentions.
- Prompt-anchored content. Buyer prompts harvested from the audit mapped one-to-one to canonical content pages, with coverage measured monthly.
- Cycle measurement. Every workstream with named pre and post metrics, reviewed in the monthly report.
The playbook is delivered 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 provider about technical expertise
Buyers evaluating any AEO provider can use this short list as the procurement-grade question set:
| # | Question | What a strong answer looks like |
|---|---|---|
| 1 | What is your technical AEO playbook? | A named, numbered set of workstreams with pre-ship review steps, documented as an artifact |
| 2 | Which AI model crawlers do you audit and monitor? | A named list including GPTBot, ClaudeBot, Google-Extended, PerplexityBot |
| 3 | Do you implement schema beyond standard SEO markup? | Yes, with FAQPage, HowTo, and Organization schema tuned to AI retrieval |
| 4 | Who reviews changes before they ship? | The client's engineering partner, with a documented pre-ship review step |
| 5 | Do you publish citation evidence pages on first-party domains? | Yes, with original data on canonical URLs designed to be cited |
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 managed technical work with documented workstreams and engineering-partner review.
Buyers running enterprise SEO operations who need self-serve platform tooling for in-house analysts may find a platform model more useful. Buyers who want measurable citation movement across AI models as a managed outcome find the agency model more useful.
How to make the comparison concretely
Clarify the operating model first. If the buyer wants software the in-house team operates, the comparison is platform versus platform. If the buyer wants a managed service that produces audited citation movement, the comparison is agency versus agency.
For the agency comparison, send the five-question list above and compare the artifacts returned.
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Is technical AEO the same as technical SEO?+
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