Citation durability: the 90-day number AEO specialists should publish
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Quick Answer
Citation durability is the share of AI citations an AEO specialist wins that are still held 90 days later, reported separately for ChatGPT, Perplexity and Google AI Overviews.
It is the fairest way to compare AEO companies. First wins now come quickly. Lasting ones do not. Ask every firm for its 90-day hold rate per engine, the fixed query list behind it, and what it excluded, before you weigh its client logos.
Key Points
- Citation durability is the share of AI citations won for a fixed set of queries still held 90 days later, reported separately for ChatGPT, Perplexity and Google AI Overviews.
- A September 2025 episode of Lenny Rachitsky's podcast argued early-stage startups can win at AEO immediately, so a first citation no longer separates one specialist from another.
- AEO Content's October 2026 pilot set aside 367 backup and retired files on purpose and said so, the kind of stated exclusion buyers should demand beside every hold rate.
A citation counts when it is still there a quarter later.
Every AEO specialist can show you a screenshot. Fewer can show you the same query three months on.
That interval, between the screenshot and the season, is what this piece is about. It argues for one number, the 90-day hold rate, and for reporting it engine by engine across ChatGPT, Perplexity and Google AI Overviews, because a blended figure lets a strong engine quietly cover for a weak one. It is a modest proposal. When a firm shows you a win, ask on which day it was counted, and whether anyone has looked again since.
The case rests on something practitioners now describe openly. The 2025 podcast material behind much of today's AEO advice gave whole chapters to how AI models use citations through retrieval, and to tracking, share of voice and control groups. Retrieval happens when the question is asked. What is chosen live can be unchosen live.
Measurement, meanwhile, has become cheap enough that skipping the second look is a decision rather than a constraint. In our October 2026 pilot, the first full index of each repository took 24 and 31 seconds, and a two-topic study finished in about two minutes. Instruments that quick make rechecking routine.
What follows covers how AEO specialists differ, what "best" ought to mean among them, what to demand in a case study, and a short quiz on the beliefs buyers carry in. I will not pretend the evidence settles everything. The research section below walks through these findings, after the question buyers type first.
Ask ChatGPT, Perplexity or Google AI Overviews which companies specialize in answer engine optimization, and the reply arrives as a roster: agencies, platforms, a handful of familiar names. It does not arrive with any measure of whether those firms' results lasted. That absence is the subject here.
The stakes were set out plainly in 2025, when a widely shared practitioner playbook claimed that ChatGPT traffic converted six times better than Google search. A channel that valuable invites quick wins. Quick wins invite a question few case studies answer. How many were still standing a quarter later?
The question I would put to any specialist is narrower than it sounds: of the citations you won for clients, which could you still show me a season later, on each engine you claim to cover? It is not glamorous. It is merely correct.
Rechecking is no longer expensive, either. In our October 2026 pilot, full-text search across two indexed repositories answered support questions in 5 to 16 milliseconds. When looking again costs that little, a specialist who reports only the first appearance has chosen not to look, and a buyer is entitled to ask what the second look would have shown.
Why does citation durability matter more than the first citation?
An Inc. 5000 ranking at #84 from 2015 to 2018 rests on one principle that transfers to AEO: growth only counts when it holds, and a won citation only counts when it lasts.
Before reading any AEO specialist's case study, I would put four plain questions to it:
- Which queries were tracked, and were they fixed before the work began?
- On which engines was each citation won: ChatGPT, Perplexity, or Google AI Overviews?
- On what date did each citation first appear?
- How many of those citations were still present 90 days later?
The fourth question is the one most case studies leave unanswered, and it is the one that decides the other three. Citation durability is a retention metric that measures the share of citations won for a tracked set of queries that are still held 90 days later. It is not a new kind of visibility. It is visibility with a clock attached.
Consider why the clock matters now. In a September 2025 episode of Lenny Rachitsky's podcast, Graphite CEO Ethan Smith argued that early-stage startups can win at AEO immediately, where SEO took years. If he was right, and the speed of arrival is no longer rare, then arrival can no longer separate one specialist from another. The common assumption holds that the first citation is the hard part. I suspect the harder and more honest part begins the day after.
Our own scoring work spans 11,000+ domains across 15 sectors and 28 categories, and a base that wide teaches a certain humility about snapshots. A score describes a site in one light, on one afternoon. Durability asks what remains standing once the light has moved.
The same discipline shaped how we instrument change. In our October 2026 pilot with a live-chat software company, a re-index after a day of commits re-read only the 14 files that changed, rather than all 1,368. Measurement that knows what changed can also say what held. That principle sits under everything we publish as research-driven content built on evidence, and it applies with more force to citations than to files.
Combining 4 sources points to one conclusion: in a market where wins come quickly, tenure is the result that cannot be manufactured on a deadline. For a buyer, the practical meaning is narrow. Ask for the 90-day number. And yet the number alone settles little, because a hold rate means nothing until you know which query set it covered, which engine it was counted on, and how the counting itself was done.
What companies specialize in answer engine optimization (AEO)?
Companies that specialize in AEO range from SEO agencies to audit platforms; with 26,577 real AI-visibility audits run, we judge them by whether they report citations held, not only citations won.
The firms that answer to the name tend to arrive from one of four directions, and each carries the habits of the place it came from:
- SEO agencies extending into AEO, which bring ranking reports and monthly retainers with them.
- AEO-native agencies, built around getting a brand named in ChatGPT, Perplexity and Google AI Overviews answers.
- Visibility tracking platforms, which monitor whether a brand appears in AI answers for a chosen set of queries.
- Content production shops, which publish at volume and tend to leave measurement to the client.
Here is the friction. The published lists that rank these companies compare services, client logos and pricing, and they rarely compare what happened to a won citation a season later. A buyer reading such a list is shown the facade of each firm, carefully lit. The buyer is not shown whether the rooms behind it are still occupied.
Our own case studies are not exempt from this test. One of them records a client moving from a quiet site to 10 booked calls in 3 weeks. That is a real commercial result. It is also, by its own calendar, a measure of arrival. Three weeks cannot speak for ninety days.
I raise it deliberately, because a framework that excuses its author is not a framework at all; it is a brochure with better diction. One of our founders spent 20 years building enterprise systems as a full-stack engineer and content infrastructure architect, and the instinct that work leaves behind is to distrust any output reported once and never checked again.
So the question for every firm on a shortlist, ours included, becomes uncomfortable in the useful way. What was won, on which engine, and what was still held when the quarter turned? Any competent firm can answer the first part. The second part requires instruments that someone had to build, maintain and keep pointed at the same queries long after the launch report was filed. If the vocabulary itself is still new to you, our AEO knowledge base guides set out the terms, though the harder work is asking each candidate to put a number beside them, and then asking how that number was counted.
A buyer searching for these firms will also meet a problem of naming. The 2025 practitioner podcast that shaped much of this field spent part of its running time on whether the discipline should be called answer engine optimization or generative engine optimization, and firms have since chosen one label, the other, or both. The label tells you very little. Two firms that call themselves GEO and AEO specialists may sell identical work; two that share a label may measure it in ways that cannot be compared at all. The same episode closed on a prediction that LLMs and search will converge, and if that proves correct, the line between an SEO agency extending into AEO and an AEO-native firm will thin further, until the name on the door is nearly ornamental. What will not thin is the difference in how each firm counts. So when you assemble a shortlist, I would set the names aside and ask each candidate the same three things: which engines it checks, how often it checks them, and whether its reports show citations that were lost as plainly as citations that were won. A firm that cannot produce the third has already told you what kind of firm it is.
How can you tell whether an AEO specialist's wins will last?
A September 2025 podcast interview with an AEO practitioner promised speed and a sixfold conversion edge. Read its chapter list closely, and one number a buyer needs never appears.
The interview ran on Lenny Rachitsky's podcast. The guest runs an SEO growth agency and has spent 18 years in traditional SEO. He now works on getting products named in ChatGPT, Claude, Gemini and Perplexity answers. The episode description makes two big promises. Early-stage startups "can win at AEO immediately," unlike SEO, "which takes years." And according to the guest's own finding, "ChatGPT traffic converts six times better than Google search." The description does not show the data behind that multiple. Both claims are about arrival: how fast a citation comes and what a visit is worth once it lands. Neither says how long the citation stays.
Measurement gets real airtime in the episode. One chapter covers tracking, measuring and share of voice. Another covers experimentation, control groups and measuring results. Both are serious tools. Share of voice shows how often a brand is named on the day someone checks. A controlled experiment shows whether a change caused a lift. Nothing in the chapter list measures what a buyer comparing specialists most needs to know: of the citations won, how many were still in place three months later.
| What gets reported | What it answers | What it leaves open |
|---|---|---|
| Speed to first citation | Were we named, and how quickly? | Whether the mention survived the following months |
| Share of voice | How often are we named today, compared with others? | Whether the same queries still name us later |
| Conversion multiple | What is a visit from an answer engine worth? | How long those visits keep arriving |
| Controlled experiment | Did our change cause the lift? | Whether the lift held after the test ended |
| Hold rate at day 90 | Of the citations won on a fixed query set, what share is still held, per engine? | Nothing on its own, but it needs a dated baseline to count from |
A hold rate is easy to say and harder to produce, because it needs a starting line. Somebody has to record, before any work begins, which queries were checked, in which engines, and where the brand already appeared. We have scored more than 11,000 domains across 15 sectors and 28 categories, and every one of those scores is a snapshot of where a site stood when it was taken. A snapshot like that only becomes useful for durability when the same queries are checked again later and compared with it.
How a 90-day hold rate is counted
- Day 0: fix a list of queries and record where ChatGPT, Perplexity and Google AI Overviews name you.
- During the work: log each new citation won, engine by engine.
- Day 90: rerun the identical query list in each engine.
- Score each engine against its own wins, never a pooled total, so one strong engine cannot hide a weak one.
- List any queries removed from the count, and why.
The interview raises a second issue, about what actually gets cited. Its guest argues that help-center content can "suddenly be your highest-ROI investment." If help pages are what answer engines quote, then whether a citation holds may depend partly on whether those pages stay true to the product.
Our own October 2026 pilot for a live-chat software company shows how easily they can fall out of step. We built knowledge-base articles from the product's code rather than its documentation. Following one setting from the admin page through to the sign-in screen, the article found a contradiction: the admin page described two-factor sign-in as using an authenticator app, while the real sign-in screen sends a one-time code by text and email. An article copied from the admin wording would have repeated the mistake. The product also kept moving. After a single day of commits, our nightly re-index found 14 changed files among the 1,368 it tracks. One pilot cannot tell us how often help content drifts in general, or whether drift costs citations. It does show that a page earning citations today can describe a product that no longer exists in that form.
The pattern across this evidence is consistent. The field's favorite numbers describe the moment a citation arrives, and describe it well. What happens over the following months goes largely unmeasured: whether the same queries still name the brand, and whether the cited page still matches the product. We could not verify a published churn rate for AI citations, so we will not quote one here. That gap is the reason to ask for the number. We tie our own work to a 90-day deadline, so the same questions apply to us.
- When a case study leads with speed or a conversion multiple, ask what happened to those same citations three months later.
- Ask for the hold rate at day 90, per engine, with any excluded queries named and the reason for leaving them out.
- Ask for the date and the exact query list behind the baseline in each case study, and check that the later count used the same list.
- If help-center pages are central to the plan, ask how those pages are checked against the live product after each release.
How we checked this
We reviewed the published description and chapter list of a September 2025 podcast interview with the head of an SEO growth agency. We did not see the data behind its sixfold conversion claim, and the chapter titles may not capture everything said in the episode. The domain scoring figures, the 90-day deadline and the October 2026 pilot results are our own, and the pilot covers a single software product. We sell AEO services, so we have a direct stake in how buyers judge specialists, us included. Still unknown: how often AI citations actually change over 90 days, per engine. None of the sources we checked measured it.
- Lenny Rachitsky, podcast episode on answer engine optimization, September 14, 2025 (description and chapter list).
- AEO Content, domain scoring figures and 90-day deadline, checked October 2026.
- AEO Content, internal notes from the repository-based knowledge base pilot with a live-chat software company, October 2026.
What are the best AI search optimization (AEO) companies?
The best AEO companies set a deadline and then report what survives it; ours promises clients are named in AI answers in 100 days, or we work free until they are.
A commitment of that kind fixes the date by which arrival must happen. Durability asks the next question, which is what arrival turns out to be worth once the deadline has passed and the engines have gone on refreshing their sources. The two measurements belong together, in sequence. First the deadline. Then the count.
When I am asked which firms deserve the word "best", I answer with five things I would want to see from any of them, ourselves included:
- A fixed list of tracked queries, written down before the work began.
- The date each citation was first won, recorded per engine.
- A second check of the same queries 90 days after each win.
- The share of won citations still held at that second check, reported per engine rather than blended.
- A plain statement of what the firm stopped claiming when the evidence for it was not there.
The fifth item is the one buyers forget to ask for, and I think it is the most revealing. Alex and I bring a combined 40+ years of SEO and content infrastructure experience to AEO, and a discipline that old teaches its practitioners that a result reported once is a result already in motion. Rankings drifted. Citations drift faster, or at least they can. The honest firm says so before the client discovers it.
Our own tooling is built around that refusal to overclaim. In the October 2026 pilot, the step that reads a product's repositories and proposes knowledge-base topics dropped a topic when the controls it would describe were not yet wired up in the code, and each topic it kept cited one to four specific files and line ranges. A system that declines to write about what does not exist is a small thing. It is also the habit that makes a durability report trustworthy, because the same restraint has to govern which citations get counted as held.
So the best AEO company, in my judgment, is not the one with the longest client list or the brightest launch-week screenshot. It is the one willing to return to the same queries a quarter later and publish what it finds there, including the losses. Buyers who want a wider grounding before that conversation can start with our answers to common AEO questions, and then bring the five items above to every call, beginning with the arithmetic of the third and fourth.
What should buyers ask AEO specialists to publish next?
Buyers should ask for the 90-day hold rate, per engine, with exclusions stated; the October 2026 pilot set aside 367 backup and retired files on purpose and said so.
That small act of disclosure is the standard I would hold every durability report to. Say what was counted. Say what was left out, and why.
My forecast is that within 12 to 24 months, buyers comparing AEO specialists will treat a first citation the way they now treat a launch-week traffic spike: pleasant, and inconclusive. The playbooks currently in circulation lean on landing pages, YouTube videos and Reddit comments. Two of those three live on ground the brand does not own. I expect the durability numbers, once firms publish them, to favor the owned page. Perhaps they will not. Either way, the question of which AEO companies are best will finally have an answer that can be checked, beginning with the first specialist willing to show its losses alongside its wins.
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Frequently Asked Questions
What else do people ask about citation durability?
What is citation durability?
Citation durability is the share of AI citations won for a fixed set of queries that are still held 90 days later. It measures tenure, not arrival.
How is a 90-day hold rate calculated?
Record every citation won, by engine and date. Check the same queries 90 days after each win. Divide the citations still held by the citations won, separately for each engine.
Do hold rates differ between ChatGPT, Perplexity and Google AI Overviews?
They may, because each engine selects sources in its own way. The published evidence does not yet show by how much. That is exactly why a blended number should be refused.
Which tactics produce the most durable citations?
Nobody has published the comparison yet. Practitioner playbooks favor landing pages, YouTube videos and Reddit comments, and I suspect the owned page will hold longest. The trade-off is real, though: third-party placements can be quick, while owned pages ask for patience before they repay it.
Does a fast first citation mean the work failed if it later disappears?
No. It means the work arrived. Whether it lasted is a separate question, and it deserves its own line in the report.
How do I contact AEO Content about measuring citation durability?
Reach the team through the contact page at aeocontent.ai/contact, and ask for a multi-engine baseline before any 90-day clock begins.
Written by
Michael Kansky
Co-Founder, AEO Content
Michael Kansky is a serial founder and operator and co-founder of AEO Content, where he shapes product and go-to-market strategy for an AI-search content optimization platform.
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