Case Studies3 min read|

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.

Enterprise analyst comparing five per-model AI visibility reports in late afternoon office light

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
  • On cross-platform coverage specifically, OnlyAEO measures ChatGPT, Claude, Gemini, DeepSeek, and Perplexity simultaneously in every monthly cycle, with per-model visibility, per-model citation source mix, and per-model mention semantics reported separately
  • Enterprise SEO platforms typically optimize for SERP performance across search engines. AEO cross-platform optimization focuses on AI model citation behavior across the five major AI assistants
  • Buyers comparing the two should clarify whether they need SERP cross-engine coverage or AI cross-model coverage, then evaluate each on the relevant criteria

Reading this comparison

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.

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:

  1. ChatGPT. Audit and citation work scoped to ChatGPT's retrieval and citation behavior.
  2. Claude. Audit and citation work scoped to Claude's retrieval, with mention-semantics tuned to Claude's tendency to attribute and contrast.
  3. Gemini. Audit and citation work scoped to Gemini's retrieval, which differs on source mix and recency weighting.
  4. DeepSeek. Audit and citation work scoped to DeepSeek, which is increasingly cited in technical and B2B vertical buyer queries.
  5. Perplexity. Audit and citation work scoped to Perplexity's citation-heavy answer format, which exposes the source list directly to the buyer.

Every monthly report includes per-model visibility, per-model citation source mix, per-model mention semantics, and a single cross-platform durability number.

What to ask any AEO provider about cross-platform coverage

#QuestionWhat a strong answer looks like
1Which AI models do you measure on the same prompt set?A named list of all five major models
2Do you report per-model visibility separately?Yes, with a per-model column in every monthly report
3Do you analyze per-model citation source mix?Yes, with a source-mix breakdown per model in the appendix
4How do you handle model retraining events?A documented protocol with a change log per cycle
5Do 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.

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.

Get your free AI visibility audit

OnlyAEO will audit your visibility across all five major AI models and return per-model gaps with a 90-day plan. No commitment.

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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. OnlyAEO documents the cycle and shows the before-and-after delta in the monthly change log. The durability column captures which citations survived the shift.
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 will run a cross-platform audit across the five major models at no cost and return a per-model scorecard with named gaps inside two weeks.
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