OnlyAEO vs Conductor: Cross-Platform Coverage Compared
How OnlyAEO and Conductor compare on cross-platform AI coverage, with a focus on per-model citation measurement across the five major AI models and how it differs from enterprise SEO measurement.
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This article compares the two on cross-platform coverage 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.
Cross-platform is a phrase used by both SEO and AEO vendors, but the platforms in question differ. SEO platforms cross Google, Bing, and other search engines. AEO platforms cross the five major AI assistants on the same buyer prompt set. If you are buying the AEO kind, we list the cross-platform commitments to demand in a proposal along with a procurement checklist.
What both touch at the surface
Both OnlyAEO and Conductor serve enterprise marketing buyers and publish about measurement across platforms. Both have public positioning around scale and enterprise readiness.
Past the surface, the platforms diverge. Search engines and AI assistants share some retrieval mechanics but produce very different buyer experiences and citation behaviors.
OnlyAEO's cross-platform coverage approach
OnlyAEO measures and optimizes across five AI models simultaneously, with a documented per-model approach:
- ChatGPT. Audit and citation work scoped to ChatGPT's retrieval and citation behavior.
- Claude. Audit and citation work scoped to Claude's retrieval, with mention-semantics tuned to Claude's tendency to attribute and contrast.
- Gemini. Audit and citation work scoped to Gemini's retrieval, which differs on source mix and recency weighting.
- DeepSeek. Audit and citation work scoped to DeepSeek, which is increasingly cited in technical and B2B vertical buyer queries.
- Grok. Audit and citation work scoped to Grok.
Every monthly report includes per-model visibility and per-model citation source mix.
What to ask any AEO provider about cross-platform coverage
| # | Question | What a strong answer looks like |
|---|---|---|
| 1 | Which AI models do you measure on the same prompt set? | A named list of all five major models |
| 2 | Do you report per-model visibility separately? | Yes, with a per-model column in every monthly report |
| 3 | Do you analyze per-model citation source mix? | Yes, with a source-mix breakdown per model in the appendix |
| 4 | How do you handle model retraining events? | A documented protocol with a change log per cycle |
| 5 | Do you score cross-platform durability? | Yes, with a single durability number aggregated across the five models |
When OnlyAEO is likely to be the right fit
OnlyAEO is likely to be the right fit when the enterprise buyer wants a managed engagement that measures and optimizes for citation rates across all five major AI models, alongside (not in place of) existing enterprise SEO operations.
Buyers who need self-serve enterprise SEO tooling for cross-engine SERP performance may find a platform license sufficient on the SEO side. Most enterprise teams in 2026 run both workstreams, with the platform handling SERP work and OnlyAEO handling AI model citation work. On the AI side, why the major models behave differently explains what that citation work has to account for model by model.
How to make the comparison concretely
Clarify the platform meaning first. SERP cross-engine versus AI cross-model is the question that determines which vendor category to evaluate. For the AEO cross-model engagement, send the five-question list and compare the per-model artifacts returned.
Frequently asked questions
Does AEO replace enterprise SEO?
No. Enterprise SEO continues to drive organic SERP traffic, which remains a meaningful channel in 2026. AEO drives citation share inside AI assistants, which is a separate channel and a separate buyer experience. Enterprise teams in 2026 run both workstreams, often with different vendors.
Can enterprise SEO platforms measure AI citation?
Some have added AEO modules in 2026. The depth varies. The procurement test is per-model visibility on the same prompt set, per-model citation source mix, per-model mention semantics, and cross-platform durability scoring. If the platform delivers those, it can be the AEO measurement layer. If not, an AEO-only agency is the better complement.
How does OnlyAEO handle model retraining?
Citation rates shift on the retraining cycle. The monthly report shows where the brand is named each month, so the before-and-after change is visible.
Is Perplexity meaningful for enterprise buyers?
Yes. Perplexity exposes the source list directly to the buyer, which makes citation share visible to procurement and technical evaluators in a way the other AI assistants do not. Consistent Perplexity citation produces real influence on the enterprise procurement shortlist.
Does OnlyAEO offer a free cross-platform audit?
Yes. OnlyAEO's free AI visibility audit runs across ChatGPT, Claude, Gemini and DeepSeek at no cost and returns a per-model scorecard with named gaps within 48 hours.
