PR & Media Placement Packages: Pricing & Services

Tiers A through D each start at a $1,000 entry unit — the same shape as our Reddit packages.

How we pick outlets: AI visibility, not DR alone. Domain Rating only reads the backlink graph. It cannot tell you whether an AI engine actually cites a site — and that is now half of what a placement is for. So we select on both, and we publish the AI number so you can check it yourself.

The measure is Semrush's Cited Pages (Domain Overview → AI Search): how many of that outlet's pages have been used as a source in an AI-generated answer. Open Semrush, type the domain, read the AI Search panel. No account of ours is involved.

Best in 2026 is the one to understand, because it explains the whole approach. Its citations are concentrated on selection questions — "what is the best virtual staging software", "what are the best home management apps", "what is the best AI learning platform". That is the question shape a buyer actually asks an AI engine, and it is the shape we write for. An outlet can carry a high DR and still never be cited on a question anyone buys from; the reverse is also true.

Tier B outlets are stronger still on this measure — Analytics Insight and TechBullion each carry hundreds of citations on buying-intent questions — which is why the combined tier exists.

Figures read from Semrush on 2026-08-20 and they move; ask us for a current pull before you buy, or read it yourself in the free Domain Overview.

Every package includes an SEO + GEO audit — and it is reference material, not a promise.

Before we write anything, we measure where you currently stand on your own keywords across four AI platforms — ChatGPT, Google AI Overview, Perplexity and Gemini — plus classic search: which of your queries name you, which name a competitor instead, and which return nothing from your category at all. You get the baseline as a document, and we re-run it at the end of the campaign so the same queries can be compared.

Read it as a measurement, not as a commitment. It tells you where you are and where the content should point; it does not obligate us to move any specific number, and nothing on this page guarantees a ranking or a visibility improvement. Search engines and AI engines re-rank on their own schedule. If you want the improvement itself written into the contract, that is the ranking and traffic guarantee packages, which commit to agreed targets and are priced against the commitment rather than against article count.

The SEO tier is the one to use when you want to own a single keyword. Rather than fighting for one position, the product page and several supporting articles occupy the results page together, so whichever result the reader trusts, they land on the same answer. That effect is only available in the tier where articles are cheap enough to run several at once.

Reading the effect columns. Want to be found and cited: tier A. Want people to arrive and buy: tier B. Want to be seen and believed: tiers C and D.

The five tiers are not a pricing ladder with the same product at different sizes. Each tier buys a different citation surface, and they are grouped that way because any single surface can go to zero without warning.

Two things that happened in August 2026 make the case better than we could.

One source type lost 86% of its ChatGPT citation share in a single day.

Reddit.com held a steady 3.83% of ChatGPT Search citations from July 18 to August 7. On August 14 it fell below 1%, and the August 14-17 average was 0.52% — a 86% relative drop, with no announcement and no warning. Google's surfaces did not follow: AI Overviews and AI Mode declined gradually over the same period, no cliff. Source: Promptwatch, "Reddit Citations Are Dropping in ChatGPT", published August 18, 2026. Promptwatch flags the size of the drop as provisional — a data-collection artifact is not fully ruled out — so treat it as a strong signal rather than a settled number.

And the whole mix re-weighted between model versions.

And the whole mix re-weighted between model versions.

The citation mix re-weighted between model versions.

Comparing GPT-5.1 with GPT-5.6 Sol: Reddit went from 15% of citations to roughly zero, review sites and forums (G2, Capterra, Trustpilot) from 7% to roughly zero, and smaller company websites and blogs from 66% to 32%. What rose: help centres and documentation from 2% to 32%, established company sites from 4% to 18%, app marketplaces from 2% to 17%. This comparison comes from a practitioner post by Ira Bodnar (@irabukht).

So this is how the package is grouped — by citation surface, SEO and GEO together.

The chart names five surfaces an AI engine actually pulls from. Here is where each one sits, and which of them we can deliver:

On help centres and documentation, since it is now tied for the largest surface. This is a real deliverable and we already have the pipeline for it: the same on-site content workflow every SEO client uses. It is written on your own domain, so there is no placement fee and no editor to convince — the constraint is publishing access, not availability. What makes docs citable is narrow: one question per page, the answer in the first paragraph, and the exact phrasing a user would type. Ask us to scope it and it is quoted as on-site content, not as a placement.

On app marketplaces, be sceptical of anyone who offers to do it for you. Shopify, Chrome Web Store and the rest tie listings to the owning developer account and run their own review. It is worth doing — 17% is not a rounding error — but it is your team's job, and we would rather say so than bill you for a submission we cannot control.

And the reason for spreading across them at all.

A campaign that sits entirely on one kind of source is one model update away from being worth nothing. We do not know which surface the next update will favour, and neither does anyone selling you a single-channel package. What we can do is spread a campaign across source classes that fail independently:

This is also why we do not sell a single-channel package, however well that channel is performing this quarter. The grouping is not an upsell structure. It is the part of the campaign designed to survive something like August 14.

One consequence worth stating plainly: the two surfaces that grew most in that second chart — your own help centre and documentation, and audited app marketplaces — are first-party assets we cannot place for you. If your docs are not public, structured and crawlable, that is likely a higher-return project than anything on this page. We would rather say so than sell you a tier that does not address it.

"PR" gets used for both, and they behave nothing alike. Knowing which one you are buying is the difference between a link that compounds and a wave of coverage that peaks in a week.

How our tiers map. The SEO and Traffic tiers are guest posts, which is why they carry the dofollow guarantee and why we talk about them in terms of rankings and AI citations. The PR tier is announcement distribution across high-DR news and community domains, bought for reach and third-party credibility rather than link equity. The Flagship tier is a guest post again, on a Tier 1 domain.

Neither replaces the other. An announcement with no library of citable articles behind it gets one week of attention and leaves nothing; a library with no announcements never gives an editor a reason to write about you.

We run this playbook on our own software before we sell it, so every example below is something we placed for ourselves and can be checked right now.

One campaign, two results: the search position and the AI answer

Our content helped ChatSlide rank number one for "AI slide legal", with our Tech Forum placement sitting right behind it at number two. Above both, Google's AI Overview names ChatSlide in its answer.

That is the whole argument for the SEO tier in one screenshot. The same article holds a position on the results page and gives the AI answer a third-party source to cite, which is a job your own product page cannot do for itself.

Republication: the effect nobody can sell you

BGR did not link a press release or a brand page. It wrote "A review by the SF Bay Area Times" and built two paragraphs on what that review found. That is the placement being treated as a source by an editor who owed us nothing.

In May 2026 we placed a Betta Neo review on SF Bay Area Times. Ten weeks later, with no pitch, no press release and no payment, BGR (DR 82) found that review on its own, cited it by name as a source, and gave the product its own section in a round-up. AOL.com (DR 91) then republished the BGR piece in full, alongside three other sites, each keeping the link back to the original review.

Seven additional outlets ended up carrying the content, from one paid placement. This is an additional effect, not a deliverable: we do not price it, promise it, or count it toward your article quota. It happens when a placement is written well enough that other editors treat it as a source, and it is the reason the writing standard matters more than the outlet count.

Why the SEO tier costs less per article than market rate

Buying one placement on one named DR 70-79 outlet runs $500-1,200, because it includes writing, pitching and follow-up for an outlet we may have no standing relationship with. The SEO and Traffic tiers are bundled rates against partner outlets we publish on continuously — same editorial standard, same DR band, but you do not name the specific outlet in advance.

PR and Reddit answer different halves of the same question. PR gives AI systems a citable third-party source; Reddit gives them the community consensus they weight heavily.

Our full-service Reddit package already bundles PR articles for this reason — if you are running both, start there rather than buying the SEO tier separately.

For the wider landscape — global wire services, regional distribution, per-outlet market rates and acceptance probabilities across Tier 1-4 media — see our international PR resources guide. That guide is reference material on the industry; this page is what we deliver.