AI SEO pricing, and why it is not a separate line item.

Why this AI SEO pricing page does not list its own prices

Meanwhile, Until this rebuild, portlandpeakseo.com published three different price structures across three pages. Two of them both named a Growth tier, at different figures. Two both named an Authority tier, at different figures. A prospect who opened two pages saw two different companies.

That happens because separate pricing pages drift. Notably, each gets edited independently, and within a year they disagree. The structural fix is not to reconcile them once, it is to have one page carry the numbers so there is nothing to drift.

So this page explains what the AI search work is, who it suits, and how it gets measured. In addition, the numbers live on the pricing page and are stated once.

What does each tier decide about AI SEO cost?

The tier sets scope rather than capability, so a $450 client gets the same methods applied to fewer pages. The Authority tier at $2,500 covers multi market or national scope where entity work takes longer. Page count and market breadth move a business between tiers more often than anything technical does.

What the tier decides about AI SEO pricing

Consequently, the tier changes scope and coverage, never whether the AI work happens. Full detail and terms are on the pricing page.

The four layers, and why order matters

Similarly, this work is not a product bolted onto search. It is the same foundation with additional layers on top, and the foundation has to hold or the layers are decoration.

For example, Underneath sits the technical layer. Crawlability, indexation, speed, and clean semantic structure. AI systems draw from indexes built by crawlers, so a page a crawler struggles with is a page no model will reach.

Above it sits extractability. Direct answers placed under the questions they answer, in language a machine can lift without ambiguity. A question with a plain answer beneath it is the easiest structure in existence for a system to quote.

Above that sits entity clarity, because a system will not confidently name a business it cannot resolve. Contradictions between your site, your profiles, and your directory listings actively suppress rather than merely fail to help.

Authority sits on top and compounds longest. Genuine links, real reviews, and consistent mentions from sources the models already trust. It is the slowest layer and the hardest for a competitor to copy.

What the research actually supports, with its caveats

Independent analysis of AI Overview citations found that a substantial share go to pages ranking outside the top ten, and some to pages with no conventional visibility at all. The direction is consistent across separate datasets even though the exact figures differ by methodology, and the publishers of those studies have revised their own numbers as detection improved.

Conversion data from AI referred traffic has been reported as materially better than other channels by more than one source, measured in different verticals with different comparison groups. Treat it as directional rather than as a forecast for your business, because a retail benchmark does not predict a law firm’s result.

What follows from all of it is narrow and useful. AI visibility is not automatic from ranking, it can be won separately, and it can be lost while rankings look healthy. That is the case for doing the work, and it does not require any specific percentage to be true.

Our full source trace is published as the AI Search Statistics Audit, including the figures we found misattributed and the two we removed from our own site.

Who does this AI SEO pricing suit, and who does it not?

It suits businesses that already have a real site and want citation alongside ranking. A company with no content foundation should fix that first, and Portland Peak SEO will say so. Month to month terms mean nobody is locked into finding out slowly whether the fit was wrong.

How this gets measured without theatre

The hard problem is variance. Ask the same question twice and the cited sources can differ, which means a single check proves very little and any agency reporting a clean upward line every month is producing theatre with a chart on it.

So the method is a fixed panel. Questions a real buyer in your category would ask, agreed with you, recorded before any work ships, and rerun on a schedule. Fixed questions cannot be quietly swapped for easier ones, and you can rerun the panel yourself in minutes.

Single months are noise and direction across months is signal. Both get reported, including the flat ones. This runs alongside conventional rank and traffic reporting rather than replacing it, so you see both pictures rather than accepting one as a proxy for the other.

Who this suits, and who it does not

It earns its cost fastest where buyers research before they commit. Professional services, considered B2B purchases, healthcare and legal practices, home services with real ticket sizes, and anything where somebody asks an assistant for a recommendation before picking up a phone.

It pays more slowly for impulse purchases, price only competition, and businesses whose customers arrive entirely by referral or footfall. If that describes you, the audit will say so rather than sell a program that will disappoint.

The other gate is foundation. If a site cannot be crawled cleanly, loads slowly, or contradicts itself across profiles, this layer underperforms regardless of spend. In that case the technical work comes first, which usually costs less overall than doing both at once badly.

What will not be promised

No guaranteed citations. Nobody controls what a model outputs, so a guarantee is either a misunderstanding of the system or a bet that you will not check.

No guaranteed timeline. Entity and authority signals compound at a pace set by your competitive field, and promising a date is a sales technique rather than a plan.

No purchased links or scaled thin content in pursuit of either, because both are named directly in Google’s spam policies and the exposure lands on your domain.

What is committed instead is checkable: published pricing before any conversation, a documented baseline before any work, a fixed question panel, and reporting that publishes quiet months alongside good ones.

How are results measured against this AI SEO pricing?

Tracked terms sit in Wincher under the client’s login, and citation checks are run by hand against named prompts. Flat months are reported rather than smoothed away. A client can decide at any month whether the spend is earning its keep, which month to month terms make actionable.

The first ninety days of AI search work

Month one is the baseline and the audit. Where you currently appear across the agreed question panel, what your entity facts say about you across the web, and which technical faults are preventing a crawler from reaching your content cleanly.

Months two and three build extractability and entity clarity. Answer blocks placed under the questions buyers actually ask, schema describing the page honestly rather than decoratively, and business facts made consistent everywhere they appear. These are the fastest moving signals.

After that authority compounds, which is the slow part and the durable one. Genuine links, real reviews, and mentions from sources the models already trust. The monthly read reports panel movement against the baseline, including the months where nothing moved.

The most common mistake in this category

Buying the visible layer while the foundation leaks. A business pays for answer blocks and schema on a site that loads in four seconds, contradicts its own address across three directories, and cannot be crawled past the second click.

The work then underperforms, and the usual conclusion is that AI SEO does not work. What did not work was building a roof on a structure that could not hold it.

The audit exists to catch exactly this before money is committed. Where the foundation is the problem, fixing it comes first, and that is usually cheaper overall than doing both at once badly.

Cross brand note

Portland Peak SEO and Uncharted SEO are both founder led by Andreas Benavente and run the same method. They publish different pricing because they serve different scopes, and the numbers should never be mixed.

Portland Peak SEO monthly tiers are $450, $950, and $2,500. Uncharted SEO runs its own structure for nationwide and statewide programs. If you have seen a different figure attributed to Portland Peak SEO anywhere, this page and the pricing page are correct and that page is stale.

Why trust Portland Peak SEO on AI SEO pricing?

Every figure appears on the pricing page rather than behind a discovery call, and the firm grew U.S. Title Records organic traffic. No promise of guaranteed AI citation is made anywhere on this site. Buyers should compare this against two other published quotes before deciding.

Answering the AI SEO pricing objection buyers actually raise

The common objection is that AI search is hype, and it deserves a straight answer rather than a pitch. The honest position is that the volume arriving through AI referral is still small relative to conventional search for most businesses, and that it is growing while conventional click through on informational queries has been under pressure.

Neither of those facts on its own justifies a budget. Together they justify making sure the work you are already paying for produces citable pages rather than pages that merely rank, which costs nothing extra when it is built in from the start and costs a rebuild when it is not.

That is the whole argument for including it rather than selling it. If AI search matters less than expected, you have lost nothing, because every technique involved also improves conventional performance. If it matters more, you are already built for it.

What you receive each month

A written report, not a dashboard link. Panel position across the agreed questions, conventional rank movement, what shipped, what did not, and what changes next.

The artifacts themselves. Pages you can open, technical fixes logged, entity corrections made, and links earned with sources named. Work that produces no artifact is difficult to distinguish from work that did not happen.

And the baseline alongside it every time, so the comparison is against a document that predates any incentive to exaggerate rather than against last month’s report.

A note on what changed here

This page previously published its own price list, and so did two others on the same domain. Those lists disagreed with each other. Two of them named a Growth tier at different figures, and two named an Authority tier at different figures.

That was our error rather than a market condition, and it sat on a site whose entire argument is that a buyer should be able to check a number before speaking to anyone. Publishing prices only works if the prices agree.

The correction was structural rather than cosmetic. One page now carries every figure, this page carries none, and there is nothing left that can drift apart. If you find a contradicting figure attributed to Portland Peak SEO anywhere, the pricing page is correct and the other is stale. Tell us where you saw it and we will fix it.