SERP FAQ Removal & New Data Challenge Schema’s AI Search Value

Schema markup had a tough week. Google ended FAQ rich results. 4 days later, Ahrefs published a report, discovering that including JSON-LD didn’t produce a transparent quotation raise throughout Google AI Overviews, AI Mode, or ChatGPT.

These developments weaken two widespread pitches for schema markup: elevated SERP visibility and potential AI quotation good points. This text examines their implications and what the info signifies about schema’s future.

Google’s Seen Schema Rewards Have Been Narrowing For Years

Google has been pulling again seen Search rewards tied to particular structured data sorts since 2023. Google restricted FAQ rich results to authoritative government and health sites, and HowTo wealthy outcomes had been restricted to desktop and later deprecated.

In 2025, Google announced the retirement of several structured data features, together with Course Data, Declare Overview, and Estimated Wage. Ebook Actions was initially included however later carved out after Google eliminated its deprecation banner. Google known as the remaining retirements “not commonly used in Search” and not offering worth to customers.

In 2026, Apply Drawback structured knowledge was deprecated. John Mueller noted on Reddit that “markup sorts come and go, however a valuable few you must maintain on to.”

The sample is that seen structured knowledge rewards have disappeared after changing into acquainted search engine optimization ways. The markup itself stays legitimate, however the wealthy end result doesn’t. Google doesn’t at all times describe these removals as responses to overuse, however the sample presents much less motive to deal with any single markup kind as a sturdy technique.

These current updates differ as a result of the proof for one proposed alternative worth additionally weakened. The “GEO” advisory area claims schema boosts AI citations, and Ahrefs knowledge examined a part of that.

What The Ahrefs Report Discovered

Ahrefs tracked 1,885 net pages that added JSON-LD schema. Every web page was matched towards management pages that by no means added schema. Quotation modifications had been measured throughout Google AI Overviews, AI Mode, and ChatGPT.

The outcomes had been flat. Google AI Mode confirmed +2.4%, ChatGPT confirmed +2.2%, and Google AI Overviews confirmed -4.6%.

The primary two had been too small to inform aside from random variation. The AI Overviews decline was statistically vital, however Ahrefs stated it might’t confidently attribute that to schema.

Each web page within the dataset already had greater than 100 AI Overview citations earlier than any schema was added. These pages had been already being crawled and cited.

Ahrefs acknowledged that for pages not but seen to AI, schema would possibly nonetheless assist with crawling, parsing, or indexing. However their knowledge can’t verify that.

Gianluca Fiorelli, a strategic search engine optimization guide, called the examine “one of many extra sincere items of analysis to come back out of the AI Search area in 2026.” However he argued the scope was narrower than the headline steered. He in contrast it to “testing whether or not including a label to a bottle already on the grocery store shelf makes prospects decide it up extra typically.”

Ahrefs additionally cited a searchVIU experiment that discovered 5 AI techniques relied on seen HTML throughout direct web page retrieval and didn’t use hidden JSON-LD, Microdata, or RDFa. That discovering covers one stage of the pipeline. It doesn’t rule out schema enjoying a task earlier in indexing or entity understanding.

Ryan Legislation, Ahrefs’ director of content material advertising, summarized the finding on LinkedIn, saying:

“Does including schema markup assist your pages get cited in AI search? In all probability not,” he wrote. He added that schema is “most likely not some magic repair for bettering your AI citations.”

The Practitioner Debate

Each updates land in the midst of an energetic argument about schema and GEO.

Roughly 168,000 pages use the phrase “FAQ schema is essential for GEO,” in keeping with search outcomes that Lily Ray, VP of search engine optimization and AI Search at Amsive, flagged on LinkedIn. She known as the development acquainted.

“Something that may be spammed in search engine optimization, will probably be spammed,” Ray wrote. She’d warned about this in a 2019 Moz article when FAQ schema first launched, and described Google’s FAQ elimination as the identical cycle repeating.

Ray hedged all through her submit, calling it “placing on my tin foil hat” and “simply an concept.” However the sample she described is similar one seen within the timeline above. A helpful markup kind will get scaled as a tactic, Google pulls the reward, and the business strikes on to the subsequent one.

Joost de Valk, founding father of Yoast, made the connection explicit in a weblog submit. “The GEO business is replaying early search engine optimization, simply sooner,” de Valk stated. “And the FAQ schema deprecation is the primary concrete proof level that the cycle is again on.”

He additionally filed a Schema.org proposal for a brand new FAQSection kind to handle what he sees because the structural drawback, separating “this web page has an FAQ part” from “this web page IS an FAQ.”

The frustration was sharpest from practitioners who’d been watching the GEO playbook harden round schema as its most concrete suggestion. Mark Williams-Cook dinner, director at Candour and founding father of AlsoAsked, shared the Ahrefs report on LinkedIn.

“GEO bros are promoting snake oil with schema to spice up citations, however individuals like Gianluca Fiorelli are speaking sense,” he posted.

Marie Haynes, founding father of Marie Haynes Consulting, commented on Ray’s submit with a unique concept altogether.

“My concept is that Google wanted our FAQs to coach AI in order that they gave us incentive so as to add them (aka wealthy outcomes.) And now they don’t want them anymore,” she wrote. The speculation is unconfirmed by any major supply, but it surely exhibits how far the hypothesis has traveled.

Some practitioners pushed again on the gloomier readings. Google’s broader steerage nonetheless presents structured knowledge as a technique to make web page data machine-readable, and at a 2025 Search Central Live event in Madrid, the Search Relations group instructed practitioners that supported structured knowledge sorts are nonetheless price utilizing.

What The Knowledge Can’t Reply But

Whether or not schema helps pages that aren’t but being cited is a separate query that the info can’t reply, as a result of each web page already had greater than 100 AI Overview citations earlier than schema was added.

The check additionally pooled all schema sorts collectively. Article, FAQ, Product, HowTo, and Group had been all handled as one class. Sort-specific results haven’t been remoted, they usually might look totally different.

The 30-day measurement window might miss slower results, and on reside web sites, schema modifications can overlap with different web page modifications, making it laborious to separate what schema did from what modified round it. The report solely examined schema within the web page’s HTML, not schema injected by way of JavaScript, which AI crawlers treat differently.

Ahrefs measured Google AI Overviews, AI Mode, and ChatGPT. Whether or not Bing, Copilot, Perplexity, Claude, or different reply techniques deal with schema in a different way from the techniques Ahrefs measured is an open query.

Google’s FAQ deprecation discover says the corporate will proceed utilizing FAQ structured knowledge to “higher perceive” pages. What that produces in measurable phrases is unclear. The identical uncertainty applies as to if schema impacts citations not directly, by eligibility, entity understanding, or supply choice, moderately than through the direct retrieval that searchVIU examined.

No person has printed knowledge that isolates that path.

Why This Issues

The Ahrefs knowledge provides no measured motive so as to add JSON-LD, anticipating short-term AI quotation good points for pages already seen in AI Overviews. The trickier query is what to do with schema methods extra broadly.

Product, Overview, Occasion, Video, and another structured knowledge sorts nonetheless assist energetic wealthy end result options. Group, Individual, and Article markup can nonetheless assist describe entities and content material, even when the payoff is much less seen.

A blanket “schema doesn’t work” studying overstates what the info confirmed, as a result of the check pooled every kind and measured just one end result. What the info does problem is a particular gross sales pitch.

“Add schema to spice up AI citations” has been one of many extra concrete suggestions in GEO guides. For instance, Frase.io known as schema markup “critically necessary for AI search, GEO, and AEO.”

With out knowledge assist for that declare, it’s more durable to justify the funding. AI techniques in searchVIU’s check relied on seen HTML throughout retrieval, not JSON-LD. That implies content structure, clear headings, and direct solutions in prose might matter extra for AI quotation than markup construction.

Wanting Forward

The query hanging over the search engine optimization business is the place schema creates measurable worth. Including JSON-LD didn’t measurably enhance AI citations for pages already seen in AI Overviews.

For these pages, schema seems to be extra like plumbing that serves different techniques than a lever that strikes quotation counts. That’s nonetheless actual worth, but it surely’s a unique pitch.

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