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Distribution Plan · DISTRIBUTION

A Content Distribution Plan
Built Around What AI Cites

For any given topic, the platforms AI cites are worlds apart — it trusts one source for technical answers, leans on another for real experiences. The distribution plan tells you exactly where and when to post each piece, so your limited effort lands where AI is actually reading.

See My Topic Distribution Plan

Topic "sensitive-skin serum" · share of AI citations

On this topic, 72% of AI's answers come from these two sources ↓

41%

G2 / Trustpilot

31%

YouTube

15%

Your site

Other

Great content, wrong place, wasted effort

See Which Sources
AI Trusts for Each Topic

Map the Source Mix Topic by Topic

PallasAI analyzes the sources cited for each topic before recommending a placement. A technical comparison may fit a review site or structured product page, while an experience-led question may be better served by Reddit, customer reviews, or video.

Plan a Cadence, Not a Publishing Burst

PallasAI turns the source match into a staged schedule instead of a one-time publishing burst. Each recommended placement receives a clear week and role, so the team knows what comes first and what should follow.

Different topics need different platforms

Some topics need structured data on your own site; others need third-party validation. Blur the two and you fall short on both.

How it plans

Get a Week-by-Week Plan for What to Publish Where

PallasAI converts each topic's citation-source mix into a publishing sequence. In the page example, Reddit represents 41% of citations, G2 and Trustpilot 31%, YouTube 15%, your site 7%, and other sources 6%, so the plan assigns a different content role to each source.

Week 1

Use Firsthand Experience on RedditWhen Reddit carries the largest citation share for the topic, PallasAI assigns it the firsthand-experience role. The recommended contribution answers the customer question in the language and format appropriate to the community.

Reddit · 41% of citations in this example

Week 2

Add Independent Validation on Review SitesWhen review platforms matter for the topic, PallasAI adds a review-site step for accurate product information and authentic customer feedback that can validate the same claim independently.

G2 / Trustpilot · 31% of citations in this example

Week 3

Demonstrate the Product on YouTubeWhen AI relies on video for the topic, PallasAI recommends a focused demonstration that shows the relevant claim, workflow, or outcome rather than republishing the same text in another format.

YouTube · 15% of citations in this example

Week 4

Review the Topic Before the Next Distribution CycleAfter the scheduled placements are live, PallasAI returns the team to the same topic to review recommendation shifts before it continues or revises the next distribution cycle.

All tracked platforms

Two angles, one plan

Coordinate Third-Party Sources and Your Own Site

PallasAI builds one coordinated plan across external sources and your own site. Third-party placements contribute independent evidence, while the owned page keeps the definitive facts clear and consistent.

Third-party · Platform seeding

Prepare the Right Asset for Each Third-Party Source

For each topic, PallasAI ranks the third-party sources AI cites, recommends the appropriate content format and publishing week, and uses competitor activity as context. The Agent can prepare the draft; your team reviews and publishes through the appropriate account.

Third-party sources ranked by citation share for each topic
Recommended format and publishing week for each source
Competitor activity used as context for prioritization

Your site · Technical optimization

Keep Your Site as the Canonical Fact Source

PallasAI also identifies the owned page that should anchor the topic. It helps keep the page crawlable, structures key product information, aligns names and claims with distributed assets, and can write approved Shopify updates back to the store.

robots.txt and sitemap accessibility
Structured product information and relevant schema
Consistent facts across priority landing pages and distributed content

Why it's more efficient

Put the Same Budget
Behind Better-Fit Placements

Posting on instinct

Stop Publishing the Same Asset Everywhere

Publishing the same asset everywhere ignores the source mix behind the topic. PallasAI replaces blanket distribution with a smaller set of placements chosen for how AI sources that specific question.

With PallasAI

Prioritize the Sources AI Uses for That Topic

PallasAI concentrates each cycle on the sources with the strongest citation share for the topic. Every recommended asset receives a destination, purpose, and publishing window, so the plan follows source relevance rather than channel popularity.

Get a Distribution Plan
for Your Priority Topics

Start with a free audit. PallasAI identifies which sources matter for your priority topics, matches the right content to each source, and shows where the first distribution cycle should begin.

PallasAI’s source recommendations become easier to execute when each placement reaches the team best equipped to produce and publish it. Use the plan as a shared handoff across content, SEO, community, customer, and product marketing teams.

Content and SEO Teams

Use the topic and source recommendation to prepare the content brief, maintain the canonical page, and confirm that each distributed asset supports the same customer question without copying the same text.

Customer and Community Teams

Handle placements that depend on authentic experience and participation. Customer teams can request accurate reviews through approved processes, while community owners adapt useful contributions to the norms of forums and Q&A platforms.

Product Marketing and Video Teams

Turn approved claims and workflows into demonstrations, explainers, and visual proof for topics where video carries meaningful citation weight. Keep product names, specifications, and outcomes aligned with the canonical source.

Channel Owners and Reviewers

Confirm the recommended destination and format before the draft enters review.
Check platform rules, account readiness, moderation limits, and required approvals before publishing.
Let the Agent prepare the draft while the named account owner keeps final responsibility for accuracy and publication.

This team handoff turns PallasAI’s topic-to-source match into an executable plan without asking one team to create every asset or forcing the same content onto every platform.

See Which Sources AI Trusts for Each Topic