Introduction
On May 27, 2026, Google bundled three new features into AI Overviews and AI Mode at once. According to Search Engine Land's report, the three are: preferred sources (a user-side feature that lets searchers tell Google which sites they want surfaced in AI answers), a perspectives carousel (a more prominent module for firsthand viewpoints from forums and social posts), and a “highly cited” label that flags articles other reporting frequently references.
Taken individually, none of these is a tectonic shift. Taken together, they reframe the AEO problem for small businesses. The question used to be “how do I appear in AI Overviews at all.” The new question is closer to “how do I become someone's chosen source — and how do I get the highly-cited badge that says other reporters trust me too.” That is a much more specific job, and it is a job small businesses can do.
This is a working playbook, written for a small or mid-size business owner trying to figure out what to actually ship over the next week or two. We will go feature by feature, then translate it into a concrete to-do list — including a Fort Wayne section for our Northeast Indiana readers.
Key Takeaways
- Google's new “preferred sources” feature lets users pick the sites they want highlighted in AI Overviews and AI Mode. Over 345,000 unique sources had been picked by users as of the May 27 announcement, and Google reports click-through rates roughly doubling for those selected sources.
- The new “highly cited” label flags articles that other stories reference frequently. It is expanding across Google Search broadly, not only AI features.
- A new perspectives carousel surfaces firsthand viewpoints from forums and social platforms more prominently — which raises the value of community participation (Reddit, niche forums) for visibility.
- The features reward sites that already have deep topical authority, machine-readable structure, and an active user base willing to flag them as preferred — not sites relying on generic “AEO best practices.”
- The right SMB response is not to chase the badge. It is to deserve the badge by becoming the source your existing customers and local audience already lean on.
Feature 1: Preferred Sources (the Most Consequential of the Three)
The mechanics matter, so start here. Per Google's preferred sources documentation, a user opens an AI Overview, clicks into a settings affordance, and selects sites they want Google to lean on more heavily when generating AI answers. The selection persists for that user. When Google generates a future AI Overview on a topic that user's preferred sources have covered, those sources are visually highlighted in the citation strip.
Two data points from the Search Engine Land coverage are worth memorizing. First, over 345,000 unique sources have been selected by users — meaningful adoption for a feature that has been in trickle-out rollout. Second, Google reports that click-through rates roughly double for preferred sources when they appear in an AI Overview. Direct quote from Duncan Osborn, a Product Manager on Google Search, via the Search Engine Land article: “You'll be able to easily spot links in AI responses from the sources you've already selected.”
The feature is now available globally, across languages, according to the Search Engine Land report.
Who actually benefits
The structural beneficiaries are sites that already have a loyal audience. If 5,000 people read your blog regularly, a meaningful fraction of them will eventually flag you as a preferred source. That is a citation-rate multiplier that compounds quietly, doubling the click-through rate every time you appear in an AI Overview those users see.
The structural losers are sites that earned visibility primarily through volume — sites that produced a lot of pages targeting a lot of long-tail queries without a corresponding loyal audience. The preferred-sources affordance does not help them, because no one is flagging them.
Two implications for small businesses. First, audience-building (newsletter, podcast, community presence) is now a direct AEO lever, not just a marketing nice-to-have. Second, the “build hundreds of programmatic pages” strategy is now even less valuable for AI search than it already was — a point we made from a different angle in The Content Formats AI Engines Cite Most (25,000-URL Study).
What you can actually ship in the next week
- Add a “Preferred Source” callout to your top five blog posts. A small, polite ask — “If you found this useful, consider making us a preferred source in Google AI Overviews — here's how” — paired with a screenshot of where to click. Most readers do not know the feature exists. You are the messenger.
- Email your newsletter list once. One paragraph explaining the feature and walking through the setup. We have seen single-digit-percentage opt-in rates from a single email — small, but compounding.
- Add the language to your About page. AI systems read the About page heavily when forming an entity model. If your About page already says you publish original research on X, mentioning the preferred-sources affordance close to that copy is a useful signal that you treat readers as a community.
Feature 2: The “Highly Cited” Label
The second feature is structurally different. Per the Search Engine Land coverage, the highly cited label identifies articles that numerous other stories reference, helping users find primary reporting. It is expanding across Google Search broadly — not limited to AI features.
In effect, Google is shipping a public, surfaced version of the implicit ranking signal it has been using internally for decades: a citation graph. The principle is borrowed from academic publishing, where the citation count of a paper has long been used as a proxy for influence and reliability. Google is making that signal visible to users, which means it now influences clicks, not just rankings.
How to read the announcement
A few notes about what the label likely means in practice, based on what Google has said and what we know about how citation-graph signals normally work:
| Claim | Confidence | Why |
|---|---|---|
| The label is based on inbound citations from other articles, not on raw backlinks | High | Google has been distinguishing “citations” from “backlinks” in public documentation for years. |
| The label is recency-weighted | Medium | Google has emphasized freshness in adjacent updates. Pure cumulative citations would over-reward old wire stories. |
| The label rewards original reporting over syndicated coverage | High | Stated goal in the Search Engine Land article: helping users find primary reporting. |
| The label benefits trade and local publications disproportionately | Medium | They tend to do the original reporting that other outlets cite. |
| Small-business sites can earn the label directly | Low | The label is most likely surfaced for news and reference articles, not for service pages. The benefit for SMBs is being referenced by highly-cited articles. |
That last row is the practical bottom line for SMBs. You are probably not going to earn the highly-cited label on your own product or service pages. You can absolutely be the source quoted by a trade publication that does earn the label. That dynamic is what the Answer Engine Optimization Guide treats as the core authority pipeline.
What this changes about your content strategy
Two practical implications.
First, when you publish original data — even small data, even a sample of fifty customers — make it easy to cite. That means a clear data table, a methodology paragraph, and a phrasing pattern reporters can quote directly. If your blog post says “we analyzed X across Y to find Z,” reporters can lift the sentence verbatim. If it buries the finding inside a story, they cannot.
Second, your pitching strategy (covered in our companion piece on Digital PR + SEO) should now prioritize publications likely to earn the highly-cited label. National trade publications and regional business journals are good bets. National generalist outlets are mixed — the wires (Reuters, AP) almost certainly do, but secondary aggregators almost certainly do not.
Feature 3: The Perspectives Carousel
The third feature is the easiest to underestimate. Google described it in the Search Engine Land article as a more prominent carousel surfacing developing topics with “timely articles and firsthand perspectives” — including, importantly, voices from discussions, forums, and social media.
That last clause is where the action is. For at least eighteen months, Google has been re-weighting Reddit, niche community forums, and other firsthand-discussion surfaces upward in its results. The perspectives carousel is the next step in that arc: a dedicated UI module that highlights those voices on appropriate queries.
Why this matters for small businesses
If you have spent any time on a Reddit subreddit or a vertical-specific forum where your customers hang out, you already know more about your category than 95% of the content writers competing for the AI Overviews citation. The new carousel makes that knowledge visible.
The competitive opening: a thoughtful, named, expert-tagged comment on a Reddit thread in your category is now meaningfully more likely to be surfaced as a “perspective” in AI Mode and AI Overviews than a generic blog post on your own site targeting the same query.
That is uncomfortable for SEO teams trained to optimize owned content. It is also true.
A few hard rules for community participation to make the carousel work for you:
- Use a real, named account tied to a real expert at the company. Anonymous brand accounts produce nothing.
- Contribute consistently for months before linking anything. The Reddit and forum communities punish drive-by self-promotion fast.
- Answer the question being asked. Generic “I can help, DM me” replies do not get upvoted, do not get surfaced, and slowly damage your account's standing.
- Disclose the affiliation. Both Reddit's culture and AI systems read this signal.
Community participation is a slow lever; do not treat it as a campaign. Plan months of consistent contribution before any link drop, and let named experts at your company own the accounts.
The Combined Picture: What Changes in Your AEO Playbook This Week
The three features individually are useful. Together, they are a clear signal about the direction Google is taking AI search. The summary in one paragraph: Google is moving from “we, the algorithm, decide who is authoritative” to a more transparent system where users designate trust (preferred sources), the citation graph is surfaced (highly cited), and firsthand voices get a dedicated module (perspectives carousel). All three reward authentic, audience-anchored authority over scale and SEO-craft.
Here is the concrete one-week to-do list we are running for our clients this week.
| Day | Action | Owner | Time Required |
|---|---|---|---|
| Mon | Add preferred-source callouts to top 5 blog posts | Content lead | 60 min |
| Mon | Email newsletter list once about the feature | Marketing lead | 45 min |
| Tue | Audit existing data-rich posts; lift the key finding into a quotable sentence | Content lead | 2-3 hrs |
| Tue | Add Article + Person + Organization schema to all key posts | Developer | 2-3 hrs |
| Wed | Identify 3-5 active Reddit/forum threads in your category | SME / founder | 2 hrs |
| Wed | Post one substantive reply per thread, no self-link | SME / founder | 1 hr |
| Thu | Identify 3 trade publications likely to earn the highly-cited label in your space | Marketing lead | 90 min |
| Thu | Draft one pitch to each trade publication around your data | Marketing lead | 2 hrs |
| Fri | Run AI Mode prompts to baseline your current visibility | SEO lead | 90 min |
| Fri | Document everything in a simple AEO log | All | 30 min |
This is the rough sequence, scoped for a team of two to three people. A solo operator should plan the same actions across two weeks instead of one.
A more comprehensive version of this — covering everything from schema to entity disambiguation to query-fan-out coverage — lives in the Answer Engine Optimization Guide. What is in this post is the seven-day starter; what is there is the durable system.
What About Machine-Readable Structure?
The features above are about discoverability and trust. They do not eliminate the prerequisite of being machine-readable in the first place. If your pages are not structured in a way Google's AI surfaces can confidently parse, none of the user-side features will save you.
The basics still apply:
- Article schema on all editorial content, with author, datePublished, and dateModified populated. See Schema.org Article documentation.
- Organization schema sitewide with a complete sameAs array linking to your verified profiles.
- Person schema for every named author, linking the author to the organization.
- A canonical, accessible HTML rendering of every page. AI crawlers still struggle with heavy client-side JavaScript rendering. Google's own AI features documentation repeats this prerequisite.
If you have not done this work yet, it is the precondition. The new features sit on top of it. We wrote the working SMB checklist for this layer in What Makes Your Brand Machine-Readable in AI Search, which is also where to start if “Article + Organization + Person schema” reads like a foreign language.
For the broader May 2026 context — preferred sources is one of multiple Google announcements in the same window — see our 2026 Search Overhaul orientation.
Fort Wayne and Northeast Indiana: The Local Audit to Run This Week
For our Fort Wayne, Allen County, and DeKalb County clients, the preferred-sources feature is unusually well-suited to local businesses. Here is the reason: local audiences are concentrated. A Fort Wayne HVAC company with 1,500 active customers does not need a national audience to benefit. It needs those 1,500 people — plus a slow, compounding flow of new local readers — to be the audience that flags it as a preferred source.
The audit looks like this for a Northeast Indiana SMB:
- List the 10-15 questions your Fort Wayne customers actually ask AI search. “When should I replace my HVAC compressor in Fort Wayne?” “What does a dental crown cost in Auburn?” “How do I find a real estate agent in DeKalb County?” The phrasing should sound like a person typing into ChatGPT or Google AI Mode, not like a Search Console keyword.
- Run each question against AI Overviews and AI Mode. Note which sources appear, and whether you appear. Screenshot the results so you have a baseline before the preferred-sources adoption curve has time to shift the citation pattern.
- Identify the gaps. A question where no local source appears is an opportunity to publish a clearly local, specifically Fort Wayne–anchored answer. A question where a competitor appears but you do not is a different conversation about whether you have the right page in the first place.
- Pitch your existing customers. They use AI search now. A short follow-up email after a job, paired with a one-line “if you found this helpful, here's how to make us a preferred source,” is a higher-leverage ask than asking for a Google review — and it costs the customer about ten seconds.
- Anchor your content to specific Northeast Indiana places, not just to “Fort Wayne.” Mention specific neighborhoods (Aboite, Waynedale, Southwest), specific landmarks, specific county-level zoning or compliance details. AI systems give meaningful weight to localized specificity. We wrote a deeper version of this in the Fort Wayne AEO Guide.
If you run a regulated business — healthcare, legal, financial — you have an additional layer of work: every customer-facing ask must comply with applicable rules. Audit your patient or client communications policy before any “make us a preferred source” outreach lands in an inbox.
How Button Block Helps
We are an AI-powered digital agency in Auburn, Indiana, working with small and mid-size businesses across Fort Wayne, Northeast Indiana, and the broader Midwest. The work above — preferred-source callouts, structured-data audits, original-data pitching, perspective-carousel community presence — is the core of our Answer Engine Optimization practice.
If you want a working baseline of where you stand in AI Overviews and AI Mode for your specific category and geography, the easiest place to start is a single 30-minute call — contact us. We will tell you honestly whether the preferred-sources move is your highest-leverage next step or whether something else (technical fundamentals, content gaps, paid coverage of the AIO snippet) should come first.
Ready to Become Someone's Preferred Source?
Button Block runs the preferred-source, structured-data, and AI Mode baseline work that turns the May 2026 Google updates into measurable visibility for Northeast Indiana SMBs.
Frequently Asked Questions
- Do "preferred sources" change how AI Overviews are generated for all users, or only the user who selected the source?
- Per Google's announcement, the preferred-sources selection is per-user. It changes what that user sees — the cited source is visually highlighted, and click-through rates roughly double for it according to Google. It does not directly change the ranking algorithm for everyone else. The indirect effect, however, is meaningful: as more users flag you as a preferred source, you accumulate aggregate signal that almost certainly influences how Google's algorithm thinks about your authority over time.
- Can a small business actually earn the "highly cited" label?
- The label is most likely to surface for news and reference articles that other outlets reference. Small-business service pages or product pages will not typically earn it directly. The realistic SMB play is to be the source quoted in highly-cited articles — by publishing original data, by pitching trade publications, and by becoming the expert reporters call. That is the durable path. Chasing the badge directly is not.
- How is the perspectives carousel different from the existing Reddit-heavy ranking in regular Google results?
- The Reddit weighting in regular results is a ranking signal applied within the standard results list. The perspectives carousel is a separate UI module dedicated to firsthand viewpoints, and it explicitly includes forums and social media, not just Reddit. Practically, the carousel is more visually prominent than a Reddit result ranked third on a regular SERP, which changes the click economics for the underlying content.
- Do I need to make any changes to schema or structured data to benefit from these features?
- Schema is not directly required to be eligible — Google does not require structured data to highlight you as a preferred source. But the underlying systems that decide which sources to cite (in AI Overviews and AI Mode) lean heavily on machine-readable signals: Article schema for editorial content, Organization and Person schema for entity grounding, sameAs arrays for cross-platform identity, and clean canonical HTML rendering. If you have not done that work, the new features sit on a shaky foundation.
- Will the preferred-sources feature hurt sites that previously ranked well in AI Overviews?
- Possibly, on the margin. If a competitor consistently gets flagged as a preferred source by your shared audience, that competitor's CTR doubles where they appear and your CTR holds steady where you appear. Over months, that pulls measurable click volume away from you. The defense is symmetric: ask your own audience to flag you, build the loyalty that makes the ask successful, and double down on original, audience-specific content.
- How should a Fort Wayne or Northeast Indiana small business prioritize the preferred-sources move?
- For a Fort Wayne, Allen County, or DeKalb County SMB, the practical priority order is: (1) make sure your top five most-trafficked pages have a small "make us a preferred source" callout with a clear screenshot, (2) email your existing local customer list once with the same walkthrough, and (3) anchor at least one new page per quarter to specific Northeast Indiana places (neighborhoods, counties, landmarks) so that when you do show up as a preferred source for a local query, the content matches the geography. A local audience of even 500-1,500 active customers can flag enough preferred-source selections to meaningfully shift your AI Overview citation rate inside the same metro.
- What is the relationship between these features and Google's recent core updates?
- The features are not algorithmic updates. They are user-facing surfaces sitting on top of the existing AI search infrastructure. That said, the direction of the features (rewarding authentic authority, surfacing primary reporting, prioritizing firsthand voices) is consistent with the direction of the last several core updates. If your site has lost traffic in a recent core update because the algorithm de-weighted thin or derivative content, the new features will not save you. The fix is the same fix: produce genuinely original work for an audience that values it.
Sources & Further Reading
- Search Engine Land: searchengineland.com/google-ai-overviews-ai-mode-gain-preferred-sources-plus-new-perspectives-carousel-and-highly-cited-labels — Original coverage of the May 27, 2026 announcement.
- Google Search Central: developers.google.com/search/docs/appearance/preferred-sources — Official preferred-sources documentation.
- Google Search Central: developers.google.com/search/docs/appearance/ai-features — AI features in Google Search documentation.
- Schema.org: schema.org/Article — Article structured data documentation.
- Google Search Central: developers.google.com/search/docs/fundamentals/creating-helpful-content — Creating helpful, reliable, people-first content guidance.
- Wikipedia: en.wikipedia.org/wiki/Citation — Background on the academic-publishing concept of citation counts.
- Google: status.search.google.com — Google Search Status Dashboard for rollout tracking.
- Google Search Central: developers.google.com/search/docs/appearance/structured-data/intro-structured-data — Structured-data general guidelines.