Answer Engine Optimization: AEOExpertly Launches AI Search Audits

A new AEO firm targets an anxious market

On September 29, 2026, the Westlake Village firm AEOExpertly.com announced the formal launch of its Answer Engine Optimization practice. It is selling audits and optimization work to businesses whose traditional search presence has not carried over to AI assistants such as ChatGPT, Gemini and Google AI Overviews.11 The company says it built its scoring methodology over 18 months of studying AI search behavior across more than 1,000 websites. It reports 247 completed audits.11 It also claims that 89% of clients saw measurable AI visibility gains within 30 days and that AI citation mentions rose 73% on average after optimization.11

The offer is built to bring in leads. Audits arrive within 48 hours, no credit card is required, and the firm says the audit is "regularly valued" at $10,000. It also advertises five monthly "Strategic Grants" that cover a full engagement for selected firms.11 Each audit flags up to 17 gaps in a business's AI visibility profile. The company says it serves clients in the United States, Australia and Canada.11

The performance figures should be read for what they are. They come from a press release, they are self-reported, and no independent audit backs them. The release does include one unusually frank caveat for this kind of marketing: it concedes that no practice can guarantee how often AI will cite a business, and that results depend on how quickly the major platforms re-index updated signals.11 That admission matters more than the headline percentages, because it points to the central weakness of the whole AEO industry, which is that the outcome depends on systems no vendor controls.

The launch is not unusual in itself. Elite AEO Labs announced its own two-phase AEO framework from Arizona only weeks earlier, on September 11.11 What makes AEOExpertly worth covering is what it shows about the market. A whole service category has formed around a traffic problem that keeps getting worse.

The traffic problem behind the pitch

The demand for AEO comes from a well-documented fall in clicks from Google. Google rolled out AI Overviews to all U.S. users in May 2024, and publishers have reported steep traffic losses since.1 Pew Research Center tracked about 68,000 real queries. Users clicked a result 8% of the time when an AI summary appeared, against 15% when none did.1 Pew also found that people clicked a source link inside the AI Overview itself in only 1% of cases. And 26% of users who saw an overview ended their browsing session, compared with 16% on pages without one.5

The worst cases are far more severe. DMG Media told the UK Competition and Markets Authority that the Daily Mail's desktop click-through rate fell from 25.23% to 2.79% when an AI Overview appeared above a visible link, a drop of about 89%. Mobile fell 87%.1 Ahrefs first measured a 34.5% click reduction for top-ranking pages. A follow-up published in February 2026 put the figure at 58%, close to double.4

For a long time the strongest objection was that this evidence was correlational. A randomized field experiment answers much of that objection. The study, first posted to SSRN in April 2026 and revised in June, followed 1,065 desktop Chrome users. When an AI Overview appeared, outbound organic clicks fell 39.8% and zero-click searches rose 34.5%, while sponsored clicks did not change.2 Almost all of the effect came from overviews in the top slot, which is where more than 87% of them appear. Informational queries drove the losses, while navigational and transactional queries showed no statistically significant change.2

This is where the numbers diverge, and the gap is useful. The causal estimate of about 40% is lower than Ahrefs' 58% correlational figure. One plausible reading is that earlier before-and-after comparisons also picked up unrelated changes in search behavior, competing products and algorithms.2 The direction of the effect is now settled. Its exact size still depends on the method and the type of query.

Who loses, and who disputes it

The damage is uneven. Chartbeat data shows small publishers losing about 60% of referral traffic over two years, mid-sized publishers about 47% and large publishers about 22%.6 Branded searches go the other way: Amsive found an 18% increase in click-through rate for branded queries that trigger AI Overviews.1 Put together, these findings describe a two-tier web, where known brands are protected and generic or niche content is absorbed into the summary.1 That split is the opening AEO vendors are selling into. If brand recognition is what protects traffic, then work that strengthens a company's entity signals and third-party authority becomes something to buy.

Google does not accept the broader picture. Search head Liz Reid has said overall click volume has stayed "relatively stable," with traffic shifting toward forums, podcasts and video.89 The company also says the clicks that remain are higher quality, but it has not published metrics that publishers can check.1 Some 2026 data suggests the disruption may be leveling off, with one dataset showing zero-click rates dipping slightly between December 2025 and March 2026.6 The weight of independent research still points against Google's account. The randomized study found that AI Overviews did not improve user satisfaction or perceived information quality.2

The dispute has moved into courts and regulators' offices. Penske Media, which owns Rolling Stone and Variety, has argued in court filings that Google turned itself from a search engine into an "answer engine" that "cannibalizes" publisher traffic.5 The European Publishers Council has filed a complaint with the European Commission. A third of publishers surveyed said they would block AI Overviews if tools to do so became available.4 In May 2026 Google responded with five changes, including a "Further Exploration" links section and subscription labels, meant to send more traffic to publishers.4 More recent coverage says the legal challenges have stalled in court even as opt-out tools change the relationship between Google and news sites.8

Why ranking no longer guarantees a citation

The best technical case for AEO as a separate discipline is that AI citations are coming apart from organic rankings. One compilation of industry data reports that overlap between Google AI Overview citations and the organic top 10 fell from 76% in mid-2024 to between 17% and 38% by February 2026. It puts ChatGPT's overlap with Google's top 10 at only 8%.22 Authoritas found that about 70% of pages cited in AI Overviews changed over two to three months, with no link to traditional rankings.1 That volatility helps explain why sites can lose traffic while their blue-link positions look unchanged.

The proposed fixes are broadly the same across vendors. AEOExpertly says AI retrieval depends on consistent entity data, clarity about what a business does, and third-party sources that confirm its authority.11 AirOps reports a 2.8x citation lift for pages with sequential heading structures. It also finds that 83% of AI citations for commercial queries go to pages updated within the past year.13 HubSpot recommends answer-first formatting and schema on a company's highest-traffic pages.14 SEO.com lists off-site work such as reviews and local listings alongside on-page changes.17 Profound describes the change as a move from tracking SERP position to tracking citation-based visibility scores and share of voice.15

The skeptics' case

Not every practitioner thinks AEO is something new. In a Lumar survey of SEO professionals, one consultant said they had yet to see AEO tactics that differ from what strong SEOs were already doing. Another said much of the field is either short-lived algorithm-hacking or decade-old strategy under a new name.29 Others noted that large language models still draw on traditional indexes such as Google and Bing, which makes AI search look more like long-tail search than a separate system.29 Even the vendors' own frameworks treat SEO, AEO and generative engine optimization as layers in one stack rather than replacements for each other.2123

Awareness also trails the marketing. One cited survey found that only 19.6% of marketers recognized the term "AEO," compared with 83.6% for "AI SEO." In another, 70% of marketers expected AEO to reshape their strategy but only 20% had started implementing it.22

The verdict

The best reading of AEOExpertly's launch is that the problem it describes is real but its numbers are unverified. Strong evidence, now including a randomized experiment, shows that AI Overviews cut organic clicks substantially and hit smaller, generic-content sites hardest.26 There is also good evidence that AI citations no longer simply follow search rankings, which gives businesses a real reason to audit how AI systems describe them.22

The weakness is that much of the AEO playbook overlaps with good SEO practice: clean structure, fresh content, consistent entity data and earned third-party mentions.29 Its most prominent outcome claims also come from the vendors selling the service.11 A sensible buyer will treat a free audit as a diagnosis, not a guarantee. The firm itself concedes that AI platforms, not consultants, decide what gets cited.11 For publishers there is a harder limit. Better structure can win a citation, but it cannot bring back the clicks when users seldom follow the links inside AI Overviews.5