Tag: Social Search

Why I Think Meta AI Is Search’s Sleeping Giant Now

I do not think enough people are treating Meta AI as a serious AI search contender.

In SEO circles, I hear plenty about Google AI Mode, ChatGPT, Claude, Gemini, Perplexity, RAG, and every new answer engine worth testing. Those conversations matter. But I think Meta AI already has something most AI companies would spend years and billions trying to build: massive distribution.

By May 2025, Meta AI had reached one billion monthly active users across Meta’s apps, according to Mark Zuckerberg.

Zuckerberg has also made the direction clear. He wants Meta AI to become a leading personal AI, shaped around personalization, voice conversations, and entertainment, with monetization through paid recommendations or subscriptions already being considered.

That is why I think Meta AI is becoming one of the most important AI search contenders to watch.

Meta’s Advantage Is Distribution

I think the AI search debate spends too much time on model quality and channel ownership. Which tool is smarter? Which answer engine cites better? Is this just SEO with a new label?

Those questions matter, but distribution matters more than the search industry often wants to admit.

Meta reported 3.56 billion family daily active people across its apps in March. In that same quarter, revenue reached $56.31 billion, up 33% year over year.

WhatsApp passed 3 billion monthly users in 2025. Instagram reached 3 billion monthly active users in September 2025. Threads reached 500 million monthly active users in June.

I know Facebook is not the cool platform anymore. The metaverse stumbled. Threads can still feel like a corporate response to Elon Musk running, or ruining, the artist formerly known as Twitter.

But none of that changes the important point. Meta can put AI inside the apps where people already spend their time. In doing that, it can bring search-like behavior directly into the places where discovery already happens.

I think that could push public AI adoption faster than almost anything else in the market.

The First Search Is The Search That Matters

Google’s historic power has always rested on a simple habit. When people wanted to know something, compare options, buy a product, find a local business, or settle an argument, they started with Google.

That starting point became the most valuable real estate on the internet.

AI search changes where that starting point can live. If someone sees a product on Instagram, they do not have to leave the app and search Google. They can ask Meta AI whether the product is any good, what alternatives exist, whether the brand is trustworthy, or where they can buy it.

If a WhatsApp group is planning a weekend away, they do not need to switch to Google to compare hotels, restaurants, venues, or train times. Meta AI can sit inside the conversation at the exact moment intent appears.

If someone is scrolling through a Facebook thread full of local recommendations, they can ask Meta AI to summarize what people are saying across Groups, Reels, and public posts.

That is not traditional SEO. I see it as search behavior being absorbed into social platforms.

The strategic question is no longer only, “Who ranks?” I think the better question is, “Where does the question begin?”

Meta AI Is More Than Another Chatbot

I think search marketers often approach AI through too narrow a lens. We find the chatbot, test a few brand queries, check which sources get cited, and decide we understand the platform.

That is a mistake.

Meta AI is becoming a layer across feeds, chats, search, content creation, recommendations, smart glasses, and social discovery. Meta says it is available across Facebook, Instagram, WhatsApp, and Messenger, including in feeds, chats, and search, giving users real-time information without leaving the app. The use cases include restaurant recommendations, travel planning, study help, and shopping inspiration.

The standalone Meta AI app, launched in 2025, was designed around a more personal AI experience. Meta says it can use information people have chosen to share across Meta products, along with profile data and content engagement, to deliver more relevant answers in supported markets.

I can see where this is heading. Meta AI could become the free AI tool that everyday consumers use without thinking much about it.

How Meta AI Could Become Consumer AI

ChatGPT and Claude still feel like work tools to me. They are excellent tools, but they are tools people deliberately open because they have decided to do something.

Meta AI feels more like consumer AI. It is messier, more visual, more embedded, and less like launching a productivity suite. It feels more like finding an answer while doing what you were already doing.

For many people outside tech, opening ChatGPT still feels like an intentional act. Asking a question inside WhatsApp or Instagram can feel almost frictionless.

That is Meta’s advantage. It does not have to convince people to adopt AI from scratch. It can fold AI into existing habits.

This is where it gets interesting. Meta AI is also a playground, and Meta gets to watch how people actually use it.

I can imagine a 65-year-old grandmother using it to animate family photos and share them in a WhatsApp group.

I can imagine a dog groomer using it to create short videos of clients’ pets and post them on Instagram.

When AI becomes mainstream and easy to use, people will use it where they can reach other people. That gives Meta a powerful feedback loop. The more people play with Meta AI, the more Meta learns, improves, and adds features that fit real consumer behavior.

AI Becomes Social, Visual, And Shoppable

Then there is Meta AI Studio.

Users can create AI characters built around their interests, work from templates, or start from scratch. They can build assistants for advice, captions, entertainment, and creator interactions.

Old search marketing tools give way to a faster, connected future, with data streams, AI icons, and a glowing search hub symbolizing SEO innovation and community growth.

Then there is Vibes. In September 2025, Meta introduced Vibes as a feed inside the Meta AI app and on Meta AI, where users can create, remix, and share short-form AI-generated videos, then distribute them through DMs, Instagram, Facebook Stories, and Reels.

I will be honest: parts of this feel strange. Generative AI video on social platforms is a messy mix of creativity, novelty, nonsense, and low-quality output. But early weirdness is not the same as strategic irrelevance.

I never expected AI to arrive as one perfect super-app that everyone understood immediately. Meta is putting new formats into users’ hands, watching what people do with them, and reshaping the product around that behavior.

The Ad Machine Makes This A Google Problem

Forecasts suggest Meta will reach $243.46 billion in net worldwide ad revenue in 2026, putting it ahead of Google at $239.54 billion. The same forecast has Meta capturing 26.8% of worldwide digital ad spend, compared with Google’s 26.4%.

I think those numbers should get Google’s attention.

If AI answers are monetized through paid recommendations, sponsored answers, shopping suggestions, or conversational ad units, the commercial value collects around the platform that owns the query. That platform does not always have to be the one with the best model.

Meta has the audience, the ad graph, creator relationships, commerce signals, and behavioral data built from years of social, messaging, and content engagement. It can promote Meta AI inside its own products to billions of existing users.

Google still has search intent, which is enormously powerful. But Meta has attention, habit, and context. Google is where people go when they have decided to search. Meta is where many people already are.

Why “It’s Just SEO” Misses The Point

The AI optimization debate keeps collapsing into the same comforting line: it is just SEO.

Sometimes, I agree. Technical hygiene, crawlable content, authoritative pages, clear entities, strong brand signals, helpful content, and consistent information still matter.

But I think the harder question is this: how exactly do you optimize for Meta AI?

Facebook AI Mode makes the challenge obvious. In June, Meta introduced AI Mode as a Facebook search tab that uses Meta AI to surface answers rooted in public culture, opinions, and recommendations shared across Meta’s apps, rather than a traditional list of links. It draws on what people are posting publicly in Groups and Reels to provide perspectives instead of standard search results.

That is a fundamentally different environment. If Meta AI pulls from public posts, Groups, Reels, creator content, user engagement, web information, social recommendations, product content, and eventually paid data, the standard SEO playbook is not enough.

Your website may still matter. Your public social content may matter, too. Your creator strategy may matter. Your product feed may matter. Your reviews may matter. I think the point is clear: visibility is getting more complicated.

Nobody can honestly say they know exactly how all of this works yet. Anyone who claims total certainty is probably selling a dashboard and a dream.

The honest answer is frustrating: I do not think we know enough yet. But that is not a reason to ignore Meta AI.

Google Is Being Attacked From Every Angle

Google is still Google. I do not want to overstate the case. It remains central to search, commerce, publishing, advertising, and the open web.

But Google is being pushed from every direction at once. ChatGPT is pressuring answers. Perplexity is pressuring research. Amazon is pressuring product search. TikTok and Instagram are pressuring discovery. Regulators are pressuring market power. Publishers are challenging AI content extraction. Meta is pressuring attention, ads, and AI-assisted discovery.

In the UK, the Competition and Markets Authority imposed new conduct requirements on Google Search in June. Publishers will be able to opt out of having their content used to power AI features in Google Search, including AI Overviews. Google is also required to properly attribute publisher content with clear links in AI-generated results.

I think this matters because AI search is not just another product feature. It changes the value exchange between users, publishers, platforms, and advertisers. While Google works through that challenge, Meta is quietly building AI into social behavior.

What I Think Brands And SEOs Should Do Now

I would not panic. Panic is rarely a strategy, even if it shows up in plenty of marketing meetings. But I would start testing now.

I would run brand, category, product, local, and comparison queries in Meta AI. I would test Facebook, Instagram, WhatsApp, and the standalone app wherever possible, then compare the results with Google AI Mode, ChatGPT, Perplexity, Gemini, and Claude.

I would track whether my brand appears, whether answers cite or link to me, and whether public Meta content seems to shape responses. I would look closely at Facebook Groups, Reels, creator posts, Instagram content, product mentions, and recommendation language.

If discovery moves into Meta’s AI layer, I want to understand what my brand needs in order to be visible there.

That might mean stronger public social content, clearer product information across Meta surfaces, creator partnerships, better community management, more consistent entity signals, or paid social tests designed around AI visibility. It might also mean none of those things yet.

Either way, I would rather have data than keep repeating “it’s just SEO” while the market reorganizes itself.

The Sleeping Giant

I do not think Meta AI has to beat Google at Google’s own version of search. It does not need to.

It only needs to absorb enough search behavior into the places where people already spend their time.

It needs to become the casual AI layer for people who may never deliberately open ChatGPT.

It needs to make product discovery, recommendations, local advice, content creation, and shopping assistance feel native inside social apps.

That is a serious threat. Meta AI may feel clunky right now, but so did much of the early web.

I think the search industry should stop asking whether Meta AI looks like search. The better question is whether users care.

If people start asking Meta before they ask Google, the game changes. That is how sleeping giants wake up.

Inspired by this post on Search Engine Land.

July 6, 2026
Why I’m Making TikTok Part of My SEO Strategy

I see TikTok becoming harder to ignore in SEO because discovery no longer happens in one clean path. Someone might find a restaurant on TikTok, verify it through Google Reviews, check Reddit for honest opinions, scan the menu on the business website, and then book a table. Someone else might take those same steps in a completely different order.

Nearly half of U.S. consumers used TikTok as a search engine in 2026, up from 41% in 2024, according to Adobe survey data. What stands out to me is why people search there: short-form video, storytelling, interactivity, tutorials, product reviews, personal stories, and influencer recommendations all make the platform feel more immediate than a traditional results page.

I also think TikTok recent updates show how seriously the platform wants to be part of the search journey. Many purchase decisions are visual, social, emotional, and trust-driven, which is exactly where TikTok has strength. With Local Feed, AI summaries, creator reviews, and shopping features, TikTok is trying to meet people at the moment they are exploring, comparing, and deciding.

So instead of asking whether TikTok is a traditional search engine, I ask a more useful question: how do I make sure people can find, understand, trust, and choose a brand wherever their search journey begins? More often than many marketers want to admit, that starting point may be TikTok.

TikTok SEO Is More Than Hashtags Now

I think of TikTok SEO much like traditional SEO: it is the work of making a business, place, product, service, or experience easier to discover. As TikTok has evolved, the discovery surfaces have expanded far beyond captions and hashtags.

In the past, I mostly associated TikTok optimization with captions, hashtags, trending sounds, posting times, and the hope that a video would land on the For You feed. Those pieces still matter, but they are no longer the full picture.

Today, I have to think about TikTok Search, recommendations, Local Feed, Places, reviews, comments, creator content, visual cues, product signals, and AI-assisted discovery. A stronger TikTok SEO strategy now includes search query relevance, spoken topic clarity, on-screen text, captions, hashtags, location context, creator reviews, comments, product visuals, and the searches people make after seeing a video.

TikTok documentation says search results can be shaped by how well content matches a query, along with hashtags, sounds, user interactions, language, and location. The For You feed also weighs user interactions, content information, user information, and watch behavior, which means usefulness and engagement both matter.

Local Feed Creates a New Discovery Surface

TikTok launched Local Feed in the U.S. on Feb. 11 as a home-screen tab for nearby content related to travel, events, restaurants, shopping, small businesses, and local creators. TikTok says posts can appear based on location, topic, and when the content was published.

I see Local Feed as another organic discovery touchpoint, especially for local businesses. A restaurant can appear while someone is deciding where to eat nearby. A wellness club can show up when someone is looking for weekend plans. A venue can answer practical before-you-go questions before a guest ever reaches the box office.

There are limits I would keep in mind. TikTok precise location setting is optional, off by default, available only for users 18 and older, and still rolling out across the U.S. TikTok also says private accounts, accounts for users under 18, and posts limited to Friends or Only You will not appear in Local Feed.

Local Explorer Shows TikTok Is Investing in Places

TikTok Local Explorer Program is one of the clearest signs I have seen that the platform wants to build stronger place-based discovery. The program encourages people to submit location-based reviews and rewards participation with experience points, levels, badges, community access, and other perks.

I would not assume every market has the same access or level of activity, because availability has been limited and uneven by region. Still, the direction matters: TikTok is building more ways for users to evaluate places inside the app.

I have also seen TikTok incentivize reviews for places that do not already have TikTok reviews. In one example, a coffee shop had no TikTok reviews, and I was offered a $1 Promote coupon to leave one.

When a place does not have native TikTok reviews, I have seen TikTok pull reviews from TripAdvisor and, in some cases, Google. That makes the Places tab a useful comparison surface where people can evaluate reviews, videos, and comments before deciding whether to visit a local business.

Visual Search Links Matter More Than Exact Keywords

TikTok increasingly adds automated search links and related query prompts beneath videos. I pay attention to these because they show how TikTok can connect a video to a broader topic, place, or product discovery path.

For example, a video about a place like Glen Ivy may show a search bar at the bottom that lets users explore more related content. Those search bars can appear even when a creator has not overloaded the description with exact-match keywords, which tells me TikTok is reading more than just captions.

TikTok Shop Turns Discovery Into Buying

With TikTok Shop, someone can see a product in a video, search for it, compare it through comments and creator content, and buy it without leaving the app. That makes TikTok more than a discovery channel for ecommerce brands; it can become part of the full purchase path.

I would optimize TikTok Shop content around the information TikTok needs to understand a product. Search relies heavily on how well a shopper query matches product information such as titles, categories, attributes, and content context.

TikTok Shop has also released Shoppable Photos in beta for select sellers. Eligible sellers can create image-based posts, include multiple photos, and tag products directly in the post. These posts may appear in the For You feed, Search, and the Shop tab, giving sellers a simpler way to showcase inventory without producing a full video.

AI Is Becoming Part of TikTok Discovery

I am also watching TikTok AI-assisted discovery features closely, even though availability varies by market, account, and test. Features such as Tako, AI Overviews, Quick Highlights, AI summaries, and Content Studio all point in the same direction: TikTok wants to help users search, summarize, and create faster.

Tako is TikTok chatbot, and it lets users search in a way that feels similar to using the app search bar. It can surface relevant TikTok videos and external sources, including articles.

TikTok also now offers AI Overviews for some searches. When users search a topic, they may see an AI-generated summary of the results. If they click a visual search bar, they may also see Quick Highlights that summarize that search experience.

The Places tab includes AI summaries too, and users can see how many posts were used to generate a place summary. For local businesses, that makes the quality and clarity of creator posts, customer videos, and reviews even more important.

On the creator and seller side, TikTok AI tools can help generate captions, hashtags, and even videos. I would treat these tools as helpful support, not a substitute for real strategy, because features like Content Studio are still not available to everyone and remain in testing.

How I Would Improve Visibility on TikTok

On TikTok, visibility comes from what people search for, what TikTok can understand, and what the camera actually shows. That means I would focus less on cleverness and more on showing people what they need to see before they choose a business, product, or place.

For restaurants, I would show menu items, exterior signage, the dining room, takeout packaging, seasonal dishes, and neighborhood cues. Those visuals help both users and TikTok understand what the place offers and where it fits.

For retail, I would show product displays, packaging, try-ons, shelf layout, gift ideas, and the storefront. The more clearly a video communicates what is available, who it is for, and where someone can get it, the stronger the discovery signal becomes.

I would also build simple habits into every TikTok content workflow: use location context naturally, show products clearly, show the storefront or interior when relevant, mention the city or neighborhood when it helps, create timely content around local moments, tag the physical location when appropriate, and work with creators who already understand discovery-driven content.

Keyword Research

I would start TikTok keyword research inside the app because that is where the search behavior is happening. Seed topics might include best brunch, World Cup outfits, things to do in [location], wedding inspiration, or gluten-free bakery.

From there, I would search each phrase on TikTok, document autocomplete suggestions, review suggested filters, look for Others searched for prompts, study top videos, and pay close attention to comment themes. I would also test city and neighborhood modifiers, then compare TikTok findings with Google Search Console, Google autocomplete, Reddit, YouTube, and site search data.

TikTok Creator Search Insights can add another useful layer by showing personalized information about search topics, content gaps, and how content tied to searched topics is performing.

Keyword Placement

I would place the core topic where TikTok and viewers can recognize it quickly: in the first few seconds of the video, the first text overlay, the opening of the caption, relevant hashtags, location tags, pinned comments, reply videos, the profile bio, playlist names, and creator briefs.

Comments and Reviews

I would treat comments and reviews as visibility assets, not afterthoughts. That means pinning genuinely helpful comments, replying to repeated questions with videos, correcting misinformation when trust is at stake, watching for recurring objections, and turning repeated questions into FAQs, landing page content, Google Business Profile posts, and future videos.

A creator saying that a bakery is the best gluten-free option in Portland because it takes cross-contamination seriously may be more useful than a generic five-star review. That kind of specific language can shape website copy, FAQ strategy, and customer messaging.

Referral Traffic and Branded Search

I would track TikTok referral traffic and monitor branded searches over time. When a TikTok post performs well, I would annotate it and compare branded search trends against a baseline.

I would look for directional movement in branded clicks, branded impressions, TikTok referral traffic, Google Business Profile actions, and engagement on related pages. At the same time, I would avoid giving TikTok credit for every increase without considering PR, paid campaigns, email, promotions, seasonality, and other marketing activity.

Attribution may never be perfect, but imperfect measurement does not make TikTok influence meaningless. I would rather measure directional impact than ignore a channel that is clearly shaping discovery behavior.

I Would Explore TikTok Instead of Ignoring It

Someone may find a business on TikTok before they ever search for its name on Google or ChatGPT. Someone else may turn to TikTok midway through the journey to decide whether the business is worth the trip, the purchase, or the recommendation.

Either way, I believe TikTok has earned a meaningful role in modern SEO strategy. Between Local Feed, Places, Tako, AI summaries, creator reviews, and TikTok Shop, the platform keeps adding new ways for businesses to be discovered, and many of those opportunities are still underused.

Inspired by this post on Search Engine Land.

July 3, 2026
Master Influencer SEO: Optimize Content Across Platforms

As someone who’s been up to speed with the digital marketing landscape, I’ve realized the immense potential of influencer content beyond just boosting brand awareness. It’s now a critical player showing up in Google SERPs, AI Overviews, and more, making it essential to incorporate keyword strategies into every influencer brief.

When I brief influencers, I don’t just casually mention a keyword; it’s a required part of our strategy. It becomes part of the script, caption, on-screen text, and hashtags.

This approach might seem like blending SEO into an influencer’s space might be overstepping, but the digital landscape in 2026 doesn’t recognize these boundaries anymore.

If influencer marketing programs aren’t built around acknowledging social content as part of search inventory, a substantial share of the voice is going unnoticed.

Today, search journeys are more multifaceted. They span various platforms, formats, and sources, marking a shift from simply optimizing for Google to a more comprehensive view.

Nearly half of U.S. consumers, including Gen Z, use TikTok as a search engine. AI tools like ChatGPT are becoming increasingly popular starting points for search journeys, surpassing even Google for many users.

For example, a user might search for the “best lightweight running shoes” on TikTok, watch videos, ask ChatGPT for a comparison, look for Reddit commentary via Google, and finally visit a brand’s website.

This multi-platform search journey amplifies the importance of treating influencer content as search content from the outset.

As Ross Simmonds highlighted in our conversation, influencers exist on nearly every platform, creating daily content that searchers, whether via Google or through platforms like TikTok, consistently find.

It’s a dream for marketers when influencers grasp the best practices around search and discoverability, allowing their content to rank on both native platforms and directly within the SERPs.

Dig deeper: Why creator-led content marketing is crucial for search

Google’s “What people are saying” SERP feature is a carousel showcasing user-generated content from YouTube, TikTok, LinkedIn, and more, including opinions that surface during purchase decisions.

While a brand’s website might not always appear in top search results, its content, or that of its influencers, certainly can, making it all more visible.

Meanwhile, AI answers are drawing from social content across the board, making YouTube and Reddit some of the most-cited domains in platforms like ChatGPT.

Samanyou Garg from Writesonic highlighted how comprehensive video descriptions, even from smaller YouTube channels, enhance AI visibility significantly.

Consistent language in influencer content makes AI more confident in recommending your brand. Without SEO keywords in your influencer content, it gets overlooked in crucial search moments.

Dig deeper: Lessons from creators for performance marketers

Influencers should integrate keyword research as a standard practice. Identify targets from organic insights, platform trends, and AnswerThePublic.

Incorporate these keywords into the creator’s script, captions, on-screen text, and hashtags without resorting to keyword stuffing.

Ashley Liddell from Deviation emphasizes mapping search demand across platforms and aligning them with suitable creators for greater discoverability.

The importance of capturing immediate data on keyword positioning across platforms cannot be overstated.

Google’s shifting focus from traditional web content to social and video content is reshaping where search surface area exists.

In a world where younger audiences start their searches socially, it becomes essential to integrate search strategies with influencer content.

Effective search everywhere optimization manifests in appearing where audiences actually search, with content that captures their attention.

Dig deeper: The evolution of social search visibility

Operationally, integrating keyword optimization into influencer programs involves bridging gaps between SEO and influencer teams, usually isolated in different structural parts, with distinct goals and KPIs.

Instead of viewing keywords as creative constraints, treat them as topic signals allowing creators to incorporate them authentically.

Integration involves a few key steps: sharing brief templates between SEO and influencer strategies, selecting keywords specific to each platform, reviewing content for keyword inclusion, and reporting on keyword-based search metrics.

Influencer content shapes both brand perception and search visibility in today’s digital ecosystem.

By applying a search strategy to content channels, brands can optimize these channels that traditionally operated without streamlined search strategies.

Treating influencer videos as part of your search content inventory may just set your brand apart in a content-saturated world.

Inspired by this post on Search Engine Land.

March 25, 2026
Why Social Search is Revolutionizing Brand Discoverability
As I reflect on how we used to plan our search strategies, it was all about ranking high on Google. Back then, we poured resources into optimizing websites and building entire marketing strategies to capture demand from Google’s search results.

However, search behavior has evolved. It no longer thrives on a single platform. Nowadays, I find myself searching on TikTok for recommendations, YouTube for tutorials, Reddit for honest opinions, and Amazon for product validation.

This shift in search behavior spans across a wide array of platforms, presenting us with one of the most overlooked opportunities in digital marketing.

Recent research from SparkToro and Datos analyzed search behavior across 41 major platforms. These included traditional search engines, ecommerce sites, social networks, AI tools, and reference sites.

The findings reiterated a growing awareness among marketers: search is not bound to traditional engines anymore. Although Google still leads, discovery is increasingly distributed across a diverse range of platforms—a sort of search universe.

The research distributes search activity as follows:
- Traditional search engines: Roughly 80%, with Google alone at ~73.7%
- Commerce platforms (Amazon, Walmart, eBay): Roughly 10%
- Social networks: Approximately 5.5%
- AI tools (ChatGPT, Claude, etc.): About 3.2%
We search directly on the platforms where we expect to find the most useful answers, in the formats we prefer, instead of relying on Google to direct us elsewhere.

Dig deeper: Discoverability in 2026: How digital PR and social search work together

The current buzz in the search industry tends to focus heavily on AI, posing questions such as:
- How do I rank within ChatGPT?
- How can I optimize for AI search?
- Is AI going to supplant Google?
These questions are debated endlessly by SEO professionals. While these are indeed significant questions, the data suggests a more grounded narrative, particularly for strategic planning over the next year.

Despite AI tools accounting for roughly 3.2% of search activity, which indicates a future shift in how we search and discover information, they are presently dwarfed by more established platforms.

For instance:
- Amazon sees more searches than ChatGPT.
- YouTube surpasses ChatGPT in search activity.
- Even Bing records more searches.
Yet, numerous brands are placing an outsized focus on AI visibility, overlooking platforms that handle millions of searches daily.

For many, social platforms have transformed into primary search destinations. I’ve noticed people turn to:
- TikTok for travel ideas, restaurants, and product recommendations.
- YouTube for problem-solving tutorials and reviews.
- Reddit for genuine discussions and community feedback.
- Pinterest for visual inspiration and planning.
These platforms serve varied roles in the discovery journey.

These platforms have grown beyond entertainment; users interact with them with genuine intent to seek solutions to their needs or desires.

As we increasingly use social platforms for searches, I’ve noticed that Google has been aggregating and featuring social content in its search results pages (SERPs). TikTok videos, YouTube Shorts, Reddit threads, Instagram posts, and forum discussions are now appearing directly in Google results.

With Google’s partnerships with platforms like Reddit, community discussions often gain more prominence in search results, allowing social content to influence discovery in several ways:
- Direct searches on social platforms
- Visibility within Google search results
- Influence within AI-generated answers
Dig deeper: Social and UGC: The trust engines powering search everywhere

Social platforms are also vital for the AI-generated answers that rely on genuine experiences and opinions, making platforms like Reddit, YouTube, and TikTok indispensable sources for these AI systems.

Google’s AI summaries frequently reference Reddit threads and YouTube content. Similarly, other AI tools leverage community discussions and reviews for insights.

Thus, content crafted for social discovery can significantly impact visibility across various layers of search, including on social platforms, Google results, and AI-generated responses.

By embracing social search visibility, brands can unlock a compounding discoverability effect. A high-quality YouTube tutorial, for instance, could:
- Thrive in YouTube search results
- Feature within Google search results
- Be mentioned in AI-generated answers
- Be shared on various social platforms
- Spread through private messages and dark social channels
Unlike conventional website content, social content can seamlessly migrate across platforms, significantly extending its reach.

Especially now, with marketing budgets tightly monitored, the cross-platform visibility of content amplifies the ROI of content strategies.

Dig deeper: The social-to-search halo effect: Why social content drives branded search

Despite these transformative changes, most brands still adhere to traditional search playbooks focused on Google SEO, paid search, website content, and AI interfaces.

Few have formalized strategies for optimizing TikTok, YouTube, and Reddit, which are full of untapped potential for creator-led discovery.

Traditional Google SEO might be highly competitive, but social search remains largely unoptimized, presenting early adopters with a golden opportunity to capture long-lasting visibility in spaces with existing demand.

Investing in social search visibility isn’t just about accessing the 5.5% of searches taking place on social platforms; it also extends influence to traditional search results and AI-generated answers across the web.

Search transcends beyond a single channel; it’s a broad behavior occurring within a progressing search universe.

Audiences search for the best answers in preferred formats, whether it’s on Google, TikTok, YouTube, Reddit, Amazon, Pinterest, or new AI interfaces.

Achieving success in today’s search landscape requires visibility across all the places where your audience searches. It’s about being discoverable, regardless of where those searches originate.

This is the future of search—this is “search everywhere.”

Dig deeper: ‘Search everywhere’ doesn’t mean ‘be everywhere’

Inspired by this post on Search Engine Land.
March 17, 2026
Boost Your News Visibility in Google’s Social-First Era

We’re stepping into an era where the visibility of web content is spreading across a multitude of search and social platforms. Google has always been a force to reckon with, but it’s no longer the only player in the search experience. Video-based social media platforms like TikTok and community sites such as Reddit are carving out spaces as go-to search engines for their dedicated audiences.

This evolving landscape is reshaping how we consume news content. Google’s news SERP is adapting to the era of personalized query responses afforded by LLMs and the influence of social media platforms. To keep up, Google has introduced AI-powered SERP features like AI Overviews and AI Mode. These features prioritize content that is “helpful, reliable, and people-first,” drawing heavily from social media platforms.

As search and social media intertwine more closely than ever before, we need to embrace a new strategy. This involves creating newsroom teams comprising social media experts, SEO specialists, and AI enthusiasts working together towards a unified content visibility goal.

When I optimize news content for social platforms, I also consider the potential performance of these posts on the Google SERP. I’ll delve into optimizing specific SERP features, but first, let’s explore making news content friendly for social platforms.

First, let me offer some sanity tips. It’s tempting to optimize content for every social media platform, but I find it more effective to focus on one or two where my audience is active and my growth opportunities are highest. By reviewing analytics and conducting audience surveys, I can identify the platforms where my audience consumes news content.

Optimize News Content for Social Media Platforms

I begin by considering how my content might appear on different platforms. Here’s my breakdown of which content types work best on each platform and how they might appear on Google:

YouTube

Creating YouTube video content involves following video SEO best practices. With guidance from this comprehensive YouTube SEO guide, I create a successful video strategy by ensuring my video titles align with the content.

Google prioritizes YouTube’s search ranking through relevance, engagement, and quality. I make sure my metadata accurately reflects my video content to ensure it stands out as relevant in a search.

One trend I’ve noted is that older event content on YouTube continues to rank well on Google, even after related articles have faded. Similarly, explainer videos show longevity on the SERP.

Facebook

Facebook, though perhaps not as trendy as it once was, still reaches a diverse audience. This platform excels with community-based content and entertainment news that incites conversation.

Even though Facebook’s dedicated news tab was removed, its posts are becoming more visible on Google’s SERP, which might make it worth reconsidering from a search perspective.

X

Since Elon Musk’s takeover, X’s audience has shifted more to the political right, while its role as a hub for breaking news, live updates, and political content remains strong. Sports content also performs well here, especially in the U.S.

Instagram

For Instagram, focusing on visually-driven stories, such as celebrity fashion and health topics, is key. The platform also performs well for sports highlights, often appearing in Google’s dedicated publisher carousel or “What people are saying.”

Reddit

Reddit’s unique user base requires a specific strategy to engage niche communities outside other platforms. Whether the content is about tech trends, health, or sports, it’s crucial to understand Reddit’s audience and adhere to its guidelines.

TikTok

The predominantly young, diverse user base on TikTok gravitates towards visual, conversational, and opinion-based content. Short-form videos that are authentic and engaging perform best.

Pinterest

Pinterest might be old-school, but it’s growing with Gen Z, making it ideal for lifestyle content. When I create on Pinterest, I focus on fashion, DIY, and motivational content, using high-quality visuals and a more relaxed posting schedule.

Social Content Opportunities by Google SERP Feature

Understanding how social content appears in different SERP features helps me maximize visibility. For instance, Top Stories capture breaking news while the “What people are saying” feature emphasizes emotionally engaging user-driven content.

Threat or Opportunity?

Instead of viewing social media content on Google’s SERPs as competition, we can leverage it as an opportunity to increase visibility. Our focus should be on integrating social-forward strategies to expand brand engagement and not solely relying on traditional SEO tactics.

Inspired by this post on Search Engine Land.

February 13, 2026
Unlock Discoverability: The Synergy of Digital PR & Social Search in 2026
Over recent months, my perspective on digital discoverability has undergone a shift.

I’ve recognized that people aren’t just relying on Google anymore to explore new brands.

Today, audiences discover brands on TikTok, dive deep into Reddit threads, enjoy YouTube content, and turn to AI for concise summaries, all influencing a brand’s visibility.

Achieving discoverability isn’t about monopolizing a single platform anymore.

Instead, it’s about maintaining a consistent presence across all the platforms where my audience is making decisions.

In this evolving landscape, two strategies are proving invaluable: digital PR and social search.

They aren’t separate entities but rather work together to build authority and improve visibility across various digital spaces.
- Digital PR creates credibility, establishing trustworthiness on a large scale.
- Social search amplifies this credibility, ensuring it’s visible and memorable, anchoring brands in cultural and real-world conversations.
Together, they shape preferences effectively, paving one of the most dynamic paths to discoverability as we approach 2026.

This isn’t about future speculation; it’s the reality for brands successfully capturing attention today by designing campaigns where earned authority merges with platform-native content.

Search is no longer the destination, it’s a layer

In the past, we viewed search as a destination—a tool to capture intent and deliver answers.

Our focus was ranking, optimizing, and climbing to the top.

However, this approach doesn’t hold anymore. Search is now a layer atop behaviors, not their centerpiece.

It’s woven into various platforms, formats, and experiences. People don’t pause their actions to perform a search; it’s often an ongoing background process.

Users might hear about a brand on TikTok, explore public opinions on Reddit, watch a detailed YouTube breakdown, and ask an AI for a summary on pros and cons.

Each step embodies modern search powered by ongoing intent.

For my brand, arriving only when a person types into Google is far too late, often missing the mark as decisions are shaped beforehand.

This necessitates a more comprehensive approach to discoverability, extending beyond my website, ensuring we’re part of the entire search universe.

Digital PR and social search become critical tools in achieving a broad, yet cohesive presence across these varied platforms.

Social search is where intent becomes belief

Intent now grows through exposure, reinforcement, and social credibility across digital platforms.

Tools like TikTok, Reddit, or YouTube aren’t just for getting answers. They’re for validating what users already sense about a brand.

Social search fosters belief, whereas traditional search feels more transactional, often verifying availability or comparing options.
- A TikTok demo reduces uncertainty.
- Reddit threads add genuine context.
- YouTube breakdowns provide additional safety.
This transforms social platforms into pivotal spaces where choices are affirmed before users reach traditional search engines.

Social search’s power lies in steering what users are inclined to trust, significantly enhancing cross-platform discoverability.

It’s about showing up and participating in shaping belief, not just aiming for engagement.

Where digital PR and social search meet, they offer a robust bid for the brand narrative’s authenticity and amplify the impact of third-party validations.

Digital PR anchors belief with credibility

If social search fosters belief, it’s digital PR that lends that belief the gravitas of authority.

Digital PR should be seen beyond links or temporary coverage. It provides a robust foundation of third-party validation recognized by algorithms and audiences.

It addresses the question of credibility, turning claims into supported truths.

By anchoring ideas in authority, digital PR shifts perceptions beyond mere brand visibility to genuine trust.

Real power emerges when digital PR shapes the groundwork for belief through source authority, narrative consistency, and portability across platforms.

Together, they enable campaigns and stories to become enduring elements of discoverability.

Operationalizing synergy for 2026 and beyond

To achieve this synergy, I must embrace a new mindset, aligning my digital PR and social strategies under a singular focus: discoverability.

My efforts should not only be about gaining coverage or broad engagement but rather about moving conversations to where they naturally fit into the evolving search universe.

By planning campaigns that travel brilliantly across platforms, I ensure my brand is ever-present where authority meets belief.

Success is now about creating a persistent story that resonates across multiple contexts, truly achieving my ultimate goal of enhanced discoverability in 2026.

Inspired by this post on Search Engine Land.
January 16, 2026