I Stopped Doing AEO and Bought the Placement Instead

An opinion piece, written in the first person plural because our team has argued about this for months and this is the position we have landed on. Not a rule. Not a universal recommendation. A view.

First, the standard disclosure, because it matters for how to read this essay.

The Disclaimer, Upfront

Surfacedd is not an Answer Engine Optimization tool. We do not monitor citation rates in ChatGPT, Claude, Gemini, or Perplexity. We do not claim to place brand mentions inside an AI system's organic response. We never promise "guaranteed mentions." We are an ad network that sells disclosed sponsored Surfaces inside third-party AI applications, with every Surface labeled as sponsored and every impression reported.

The reason that disclosure matters for this essay is that we are about to argue, in part, for shifting budget away from AEO toward paid placement. We have a horse in this race. You should read what follows knowing that. Where we think AEO is genuinely the better spend, we will say so. Where we think paid placement is the better spend, we will say that too, and you can weigh our bias accordingly.

With that clear: here is the opinion.

The Case We Have Been Making to Ourselves

For a year and a half, we ran an AEO program alongside our paid placement work. Not a huge program. Three full-time writers, a part-time PR agency, a licensed citation-monitoring tool, and ongoing analyst outreach. We tracked Share of Answer on a panel of prompts relevant to our category. We improved meaningfully. The numbers moved. We went from barely ever being cited to being cited across roughly a quarter of our target queries across the major AI systems.

Then we sat down with the full P&L, including the paid placement campaigns we had run in parallel, and we had a hard conversation. The honest version: the AEO work had produced real results and real visibility, and it had cost a lot of money and a lot of internal attention to get there. The paid placement work had produced reach on different queries, in a shorter timeframe, with clearer reporting, and at a lower cost per valuable impression once we optimized.

We did not stop AEO entirely. We reduced it. We reallocated two of the three writing slots to paid campaign management and creative. We let the PR agency contract lapse. We kept the monitoring tool, because measurement is cheap and we wanted to keep tracking. We shifted the net dollars into paid Surfaces.

Our Share of Placement went up substantially. Our Share of Answer kept climbing too, from the work already in flight, but the curve flattened. Net AI visibility, measured across both surfaces, increased more than in any previous quarter. We felt better about the spend.

We think this trade is right for a specific class of brand at a specific stage. It is not right for everyone. Here is when we think the shift makes sense, and when it does not.

When Organic AEO Yields Diminishing Returns

AEO is a compounding discipline. Early work tends to produce step changes. Once you have a few citable research pieces, clean structured content on your core pages, and reference presence on the domains AI systems cite most, your Share of Answer jumps meaningfully. That is the first year of a serious AEO program, typically.

Then the returns get harder to extract. You have already captured the easy citation sources. The next cohort of prompts you want to win is harder — more contested, more commoditized, more dependent on the model provider's particular ranking logic. You can keep investing. You can keep writing. You can keep doing PR. The marginal cost per incremental Share of Answer point starts to rise. At some point, the money you are spending to move from, say, 28% to 34% Share of Answer on a target prompt set is more than the money you would spend to reach those same users through disclosed paid inventory.

This is the point where we argue the trade flips. Not because AEO stopped working. Because the marginal cost of the next unit of organic AI visibility has climbed past the cost of the same visibility via paid Surfaces.

Signals we watched for:

Our citation-monitoring tool showed a flattening Share of Answer curve despite consistent content output. Month over month, the graph stopped bending.

Our content team reported that the remaining gap prompts were in areas where the major AI systems seemed to have settled citation patterns — two or three incumbent sources cited reliably, and little sign those would rotate.

Competitor analysis showed that the brands cited on those prompts had been at it for years, often with advantages we could not replicate (Wikipedia presence dating back a decade, academic relationships from pre-AI-era PR, etc.).

Our analytics on paid placement showed click-through rates and downstream activation rates that compared favorably to the implied value of the incremental organic mentions we were failing to win.

When all four signals pointed the same way, we moved the money.

When Disclosed Paid Placement Wins

We think disclosed paid placement wins cleanly over AEO in a few specific situations.

Short-term demand capture. When there is a product launch, a seasonal moment, or a campaign window that needs to land in the next quarter, AEO is too slow to matter. Paid Surfaces can go live this week, reach users on target queries, and produce measurable results inside the window. AEO may or may not move any citation rate in that same window, and the results would compound too late to matter for the specific campaign goal.

Reaching users on queries you do not yet organically dominate. There will always be queries where your brand is not cited, or not cited well. Paid placement lets you show up on those queries now, with disclosed sponsored Surfaces, while your AEO work continues to chase organic presence on the longer time horizon.

Reporting and control. Paid placement offers direct reporting on impressions, clicks, conversion, and Share of Placement. You can A/B test creative. You can adjust targeting mid-campaign. You can cut spend on queries that do not convert. AEO offers much less direct control and much fuzzier reporting. When marketing needs a clear read on ROI, paid is the easier channel to report on.

When your content team is not world-class. This is uncomfortable to say out loud, but it is true. AEO is a content-quality discipline. A brand that does not produce genuinely excellent content will not succeed at AEO no matter how much it spends. If your writing is mediocre and your research is thin, throwing more writers at the problem does not fix it; it produces more mediocre content. Paid placement does not require you to be a great content company. It requires you to be willing to pay for disclosed inventory.

Regulated or sensitive categories where AEO is constrained. In some categories — health, financial services, legal — the AI systems are aggressive about filtering content and selective about which sources they cite. Your ability to influence organic citations through AEO is genuinely limited by the model provider's safety filters. Disclosed paid placement, in the subset of publishers where advertising in the category is permitted, is often the more reliable path.

In our case, two of these hit simultaneously: we had short-term demand we wanted to capture, and our Share of Answer curve was flattening on the remaining gap prompts. The trade was clear.

When Neither Is Enough

The third argument we have made to ourselves, which might be the most important one, is that neither AEO nor paid placement solves every problem. Some categories of AI visibility need work on layers beyond either.

If your brand has fundamental perception issues — actual problems with product quality, customer experience, or reputation — no amount of AEO and no amount of paid placement will fix them. AI systems surface what is actually being said about you in the world. Paid Surfaces bring attention to your brand but do not change what users think once they investigate. You can win visibility and lose the sale.

If your category is genuinely saturated and undifferentiated, AI systems may be reluctant to cite any specific brand over another on comparative prompts. You can run paid Surfaces, and they will work, but the underlying visibility problem is that your category is a commodity and no one has a reason to prefer you. Fix the positioning first.

If your target users are not actually spending meaningful time in AI interfaces, both tracks are solutions to the wrong problem. Some audiences still mostly use search, social, or direct navigation. Before spending on AEO or paid AI placement, verify that your target users actually use AI products enough for the investment to matter.

These are the cases where the honest answer is neither AEO nor paid AI placement is where the money should go. Fix the underlying problem. Come back to AI visibility when the fundamentals are in place.

The Non-Zero Case for Staying in AEO

Even after shifting budget, we did not stop AEO entirely. Here is why, and why we think most brands should keep at least some organic investment.

AEO compounds. Paid placement does not. When we turn off a paid campaign, the Surfaces stop running. When we stop investing in AEO, the content we already published keeps being cited for as long as it stays relevant. The durable moat argument for AEO is real. For brands with a long time horizon, some continued investment in organic AI presence is almost always worth it.

AEO builds category authority that influences buyer decisions beyond AI. The content you produce for AEO is the same content that shows up in search, in sales conversations, in analyst reports, and in buyer research across every channel. You are not only paying for AI citations. You are paying for a body of reference work that serves your whole funnel.

AEO insulates against paid cost inflation. As more advertisers move into AI paid inventory, the price per impression will rise. Brands that built organic presence early will have a defensive position that keeps working as paid costs climb. The brands that relied only on paid inventory will see their costs eat more of their budget over time.

For these reasons, we kept a meaningful organic investment going. We just stopped pretending that AEO could do everything or that it should claim the majority of the AI visibility budget.

The Part Where We Should Be Careful With Our Own Argument

This whole essay is written from a company that sells paid AI placement. We want you to be careful about how much you weight it. There is no universe in which it is in our commercial interest to tell you that AEO is the better spend, and we should be honest that our bias points the direction of "paid placement is probably right for you."

So we want to tighten the claim. We are not arguing that paid placement is universally superior to AEO. We are arguing that the balance has shifted for a specific class of brand at a specific stage — brands with a year or more of AEO investment already done, with a flattening Share of Answer curve, and with short-term demand capture needs that AEO cannot serve on the right timeline. For brands outside that profile, the advice reverses. Start with AEO. Build the durable presence. Add paid when you have foundations.

The other thing to be careful about: whatever you spend on paid AI placement, spend it with vendors who disclose, who report honestly, and who do not promise things that are technically impossible. The AI ad ecosystem is young enough that a lot of low-quality inventory and outright fraud is in the market. A paid placement campaign that runs on undisclosed inventory or measures fake impressions is worse than a thin AEO program. It actively harms user trust and, downstream, your brand's reputation. Our take on the honest advertising line is that disclosure is non-negotiable, and we think that line should be a hard filter on any ad network you work with.

If you want more context on how we think about measurement specifically, the Share of Placement framework is the version we use. And if you want to reach users of AI interfaces through our network specifically, the reach AI users page covers the mechanics.

Wrap

We stopped doing as much AEO and bought the placement instead. Not because AEO failed. Because the marginal returns on our AEO work had flattened, paid placement had gotten more sophisticated and more measurable, and we had short-term demand that AEO could not serve. We kept a core AEO program running because compounding matters. We shifted the net dollars.

This trade works for brands with an established organic base that is hitting diminishing returns. It does not work as a replacement for the early-stage AEO foundation work you need to build. Paid placement without any organic presence means renting your entire visibility and losing it the day the spend stops. Keep some organic investment running. Shift the rest to where the numbers actually move.

That is the opinion. Your results may vary.