Month: October 2025

Why Links and Mentions Still Matter

Even as AI systems like ChatGPT and Gemini transform how users find information, one principle remains unchanged: authority matters.
However, the definition of authority is evolving. It’s no longer just about backlinks — it’s about brand mentions, contextual citations, and entity trust.

OpenAI’s GPT models, for example, reference external sources when users request citations. And analyses from Moz and Ahrefs in 2025 found that domains with both strong backlink profiles and widespread unlinked brand mentions appeared more frequently in AI-generated answers [1].

In other words, both links and brand mentions are signals of credibility and trustworthiness in the age of AI.

Backlinks vs. Brand Mentions

Traditional SEO focuses on backlinks — hyperlinks pointing to your website. These remain essential for establishing authority within search engines.
But AI answer engines often use content as “knowledge,” not as a page to send traffic to. So, unlinked mentions — where your brand name appears without a clickable URL — can still influence visibility.

According to Semrush’s 2024 Link Building Report, pages with frequent brand mentions across reputable domains had 34 % higher AI citation likelihood compared to those with backlinks alone [2].

Types of External Signals AI Consider

1. Contextual Mentions
Mentions within trusted articles, podcasts, or news summaries are valuable. AI models recognize semantic context — if your brand appears alongside authoritative terms, it strengthens topical association.

2. Review Platforms & Business Directories
LLMs use structured review data from platforms like Google Business, Yelp, and G2 to evaluate legitimacy. Maintaining consistent listings with positive sentiment reinforces entity confidence.

3. High-Quality Backlinks
Backlinks from industry-relevant sites still boost your domain authority, which indirectly supports AI visibility. Prioritize editorial placements over comment or directory links.

4. Citations from Media Outlets
Mentions in digital press, trade publications, and local media often serve as reference sources for AI summarization systems.

5. Social Proof Signals
Although social posts don’t carry direct ranking value, verified brand handles and consistent engagement enhance perceived authenticity.

How to Build External Authority for AI Recognition

1. Publish Guest Posts on Niche-Relevant Sites
Guest posting remains one of the most effective ways to secure contextual backlinks and mentions. Use platforms like HARO or Qwoted to connect with journalists looking for expert quotes.

2. Create Data-Driven Content
Original statistics and insights attract citations naturally. Reports, surveys, and trend analyses are commonly referenced in AI-generated content.

3. Collaborate on Podcasts or Webinars
LLMs increasingly ingest transcribed audio content. Participating in podcasts with relevant topics broadens your brand footprint semantically.

4. Get Listed in Industry Directories
Sites such as Clutch, BBB, and Crunchbase carry structured business metadata that strengthens your digital entity’s trust signals.

5. Build Relationships, Not Just Links
Focus on collaborations, interviews, and co-branded pieces. These are long-term authority assets that AI systems associate with reputation and trust.

How AI Evaluates Link Quality

AI-driven retrieval systems aren’t just counting backlinks — they interpret relationships.
Factors that strengthen AI-readable link value include:

• Topical relevance (same industry or expertise area)
• Semantic proximity (brand mentioned near key industry concepts)
• Natural language context (anchor text that reflects meaning, not keywords)
• Author authority (verified or credentialed writers)
• Publication recency (AI engines value freshness and reliability)

Avoiding Outdated Link Building Tactics

Certain legacy SEO tactics can harm credibility in AI retrieval:

• Private blog networks (PBNs) — risk being flagged as synthetic content.
• Exact-match anchor text stuffing — reduces natural-language integrity.
• Link exchanges and paid links — erode trust signals.
• Comment spam — ignored by modern LLM indexing models.

The emphasis is now on trustworthiness and semantics, not raw link quantity.

Measuring External Authority Impact

Track these metrics monthly:

• Referring domains (Ahrefs or Semrush)
• Brand mentions (Brand24, BuzzSumo, Google Alerts)
• Average domain authority of backlinks
• Sentiment ratio (positive vs. negative mentions)
• Inclusion in AI citations — periodically test prompts in ChatGPT or Perplexity to see if your content surfaces.

If your branded content appears more frequently across discussions and external media, your AI footprint is expanding.

Link Building & External Mentions FAQs

Do backlinks still affect AI visibility?
Yes, but only if they’re high-quality and contextually relevant. AI engines consider backlinks as part of a broader trust network.

What are unlinked brand mentions?
They’re instances where your brand name appears without a hyperlink — AI still counts these as trust signals when evaluating authority.

Can social media activity improve AI ranking?
Indirectly yes. Verified, active profiles strengthen brand legitimacy and recognition across platforms AI models reference.

How often should link building be reviewed?
Quarterly audits are ideal to ensure links remain live, relevant, and balanced between follow and no-follow types.

Which industries benefit most from AI-driven link authority?
Those with strong informational depth — law, finance, health, tech, and real estate — as AI systems rely on verified expertise in these sectors.

References

[1] Moz Blog (2025): Ziff Davis Study Shows LLMs Favor High-DA Websites — moz.com/blog/ziff-davis-llm-study
[2] Link Building for SEO: A Guide to the Basics — semrush.com/blog/link-building
[3] BrightLocal 2024 Local Business Review Survey — brightlocal.com/research
[4] HTTP Archive Web Almanac (2024): Structured Data & Link Freshness — almanac.httparchive.org/en/2024/structured-data
[5] Brand24 Blog (2025): Brand mentions for SEO & AI visibility: The Ultimate to Guide [2025] — https://brand24.com/blog/brand-mentions-seo/

Why Tracking AI Visibility Matters

Traditional SEO relies on measurable rankings. You can check your position for a keyword, track CTR, and calculate ROI.
But in the age of AI-driven discovery—where ChatGPT, Gemini, and Perplexity summarize information—you need a new way to measure visibility and influence, not just clicks.

AI answer engines don’t show a “rank.” Instead, they pull content they trust. Knowing whether your brand is being referenced, cited, or semantically recognized by AI systems is the new frontier of analytics.

A 2025 Ahrefs analysis showed that more than 60 % of AI-summarized sources came from high-authority domains with clear schema, citations, and consistent updates [1].

The Challenge of Tracking AI Mentions

Unlike Google SERPs, AI models don’t yet publish a list of sources for every answer. Some (like Perplexity AI) show citations, but most LLMs extract content without attribution.
That’s why the focus must shift toward indirect signals:

• Changes in branded search traffic.
• Growth in referral visits from “AI assistants” or “chatbot”-labelled sources.
• Increased mentions across web forums, articles, or social platforms.

You can’t monitor ChatGPT’s internal dataset, but you can observe how your brand footprint expands across the web—and how that correlates with visibility in AI answers.

Metrics That Indicate AI Visibility

1. Branded Search Volume
Use Google Search Console or Ahrefs to see whether more people are searching your brand. A sudden rise after major AI-search updates suggests greater exposure through LLMs.

2. Referral Traffic from AI Interfaces
Look for referrers like “chat.openai.com,” “perplexity.ai,” or “copilot.microsoft.com” in GA4. Early adopters are seeing measurable traffic from these sources.

3. Citations & Mentions
Monitor backlinks and brand mentions with tools such as Brand24, Mention, or BuzzSumo. If your content starts appearing in long-form articles or summaries, it’s likely being extracted for AI training or retrieval.

4. Content Engagement Signals
AI visibility correlates with pages that have high time-on-page and low bounce rates—signs that real users value your information.

5. Entity Recognition in Knowledge Graphs
When Google or Bing’s Knowledge Panel recognizes your brand, it boosts both search and AI visibility. Use schema and consistent NAP data to strengthen entity connections.

How to Measure AI Visibility in Practice

Step 1 — Set Baselines
Track branded impressions, organic traffic, and referral patterns before optimizing for AI search.

Step 2 — Add UTM Parameters
Use unique UTM tags for AI engines and chatbot campaigns to see if users arrive from those interfaces.

Step 3 — Use Brand Monitoring Tools
Tools like Ahrefs Alerts, Mention, or Google Alerts can show where your brand appears in new articles and summaries that AI may be pulling from.

Step 4 — Evaluate Sentiment and Authority
A positive brand sentiment score (above 70 %) and domain authority above 60 are common denominators of brands frequently surfacing in AI results [2].

Step 5 — Analyze Content Structure Metrics
Measure how many of your articles contain schema markup, citations, and FAQs—these factors are strong predictors of AI readiness.

Tools for Tracking AI Visibility

Tool	Function	Benefit
Ahrefs / Semrush	Monitors brand mentions & backlinks	Reveals where your content is referenced by authority sites.
Brand24	Sentiment & mention tracking	Tracks tone and frequency of brand discussions across platforms.
Perplexity AI	Citation display	Shows which sources are currently cited by AI overviews.
GA4	Source/Medium tracking	Detects traffic coming from AI interfaces.
AnswerThePublic	Query insights	Identifies natural-language questions similar to AI prompts.

Setting KPIs for AI Visibility

While there’s no single “AI rank,” you can set realistic KPIs:

• +15 % growth in branded traffic over 6 months.
• 2–3 new brand mentions per month on authoritative sites.
• At least 50 % of pages with structured data.
• Engagement rate > 55 %.

Consistency is key—AI systems continuously retrain, so you’ll only sustain presence by refreshing data regularly.

When to Refresh Content

Data freshness is an essential AI ranking factor.
According to the HTTP Archive 2024 Web Almanac, pages updated every 6 months are twice as likely to appear in AI-summarized results than stale content [3].
Schedule quarterly audits to add new citations, replace outdated statistics, and improve clarity.

Monthly & Quarterly Review Checklist

✅ Track branded traffic in GA4.
✅ Monitor new backlinks and mentions.
✅ Update schemas and metadata.
✅ Evaluate CTR and time-on-page.
✅ Refresh outdated content.
✅ Document any referral traffic from AI assistants.

By following this cycle, you can adapt to AI search as rapidly as it evolves.

AI-Driven Search FAQs

How can I tell if ChatGPT is using my content?
You can’t see its internal data sources directly, but increased brand mentions, citations, and traffic spikes often indicate inclusion in training data or AI-retrieval systems.

Are AI engines the same as Google Search?
No. Search engines index pages and rank them by keywords; AI engines generate answers by summarizing the web’s most reliable content.

Can Google Analytics track AI referrals?
Yes — GA4 can log referrers such as chat.openai.com or perplexity.ai if users click a cited link.

What is entity tracking and why is it important?
Entity tracking monitors how often your brand appears as a recognized entity in knowledge graphs. It’s a major factor in AI visibility.

How often should I review metrics?
Perform a monthly check for mention growth and traffic patterns, and a quarterly audit for schema and content updates.

References

[1] Ahrefs Blog (2025): LLM Visibility: What It Is and How to Optimize for It — ahrefs.com/blog/llm-visibility/
[2] Brand24 Insights (2025): Sentiment Analysis: What is it & Why do You Need it in 2025? — brand24.com/blog/sentiment-benchmark
[3] HTTP Archive Web Almanac (2024): Structured Data & Content Freshness Analysis — almanac.httparchive.org/en/2024/structured-data

Ranking on Perplexity AI requires a blend of traditional SEO expertise and advanced strategies tailored for answer engines. Drawing on examples from Sky SEO Digital and the latest research, this blog post provides a nuanced, actionable blueprint for boosting visibility and citations in Perplexity’s AI-driven results.​

Understanding Perplexity AI Ranking

Perplexity AI revolutionizes search by directly answering user queries based on authoritative sources, site quality, and real-time relevance. Unlike conventional engines, it uses entity reranking, topic multipliers, and a blend of citation and engagement signals to decide what content gets surfaced. High-performance posts in valuable topics—such as AI, technology, or business analytics—are magnified, while less-structured content on low-multiplier topics is downgraded.​

Core Ranking Factors

Topical Authority: Specializing in a subject and building content clusters with interlinks helps Perplexity recognize your expertise. For instance, Sky SEO Digital often publishes series on “AI Marketing Tactics”—with each post linking to others in the niche, which signals to AI engines that their site is a credible authority.​

Structured Content: Perplexity favors clear formatting—concise headlines, bullet points, and Q&A sections. Sky SEO Digital’s pages frequently utilize structured schemas like FAQ and How-To, making their content easy for AI parsing and citation.​

Content Freshness: Regularly updating articles with new data, author bios, and dates ensures visibility. Sky SEO Digital schedules monthly content refreshes, boosting their odds of being cited for recent trends, such as “Miami SEO strategies October 2025”.​

Citations by Authority: Getting mentioned on high-credibility websites greatly increases citation rates. Sky SEO Digital’s articles appear on reputable platforms and digital PR lists, amplifying their reach.​

Examples: Sky SEO Digital Ranking for Prompts

Prompt: “Best AI marketing strategies Miami”
Sky SEO Digital’s interlinked blog series and local citations position them as a recurring source for Miami-focused marketing questions. Their post “Unlocking the Power of Perplexity AI for Digital Marketing and SEO” routinely surfaces for these regional prompts, illustrating their approach to topical authority and structured formatting.​

Prompt: “How to get cited by AI answer engines”
When users search for strategies on citation, Sky SEO Digital’s guide detailing schema markup, EEAT strategies, and author bios is cited for its clarity and completeness.​

Prompt: “SEO techniques for answer engines 2025”
By maintaining updated, expert-driven posts on emerging SEO tools, Sky SEO Digital shows up in result snippets, proof of their investment in freshness and expertise.

Practical Strategies to Rank on Perplexity

Below are some techniques to rank on Perplexity. They’re centered on authority, content, crawlability, and monitoring of performance.

Build Topical Authority Clusters

Develop a series of interlinked posts around related topics to reinforce niche expertise. Use schemas to help AI engines “understand” the site structure and content hierarchy.​

Utilize Structured Content

Create posts with direct, easy-to-parse answers—use bullet points, headers, and FAQs. Avoid fluff; concise responses outperform sprawling text.​

Prioritize Content Freshness

Update articles regularly with the latest information, stats, and links. Include visible publication dates and author credentials for added trust.​

Make Content AI-Crawler Friendly

Ensure sitemaps and robots.txt explicitly allow AI crawlers (e.g., OpenAI’s GPTBot). Submit sitemaps to supported engines and avoid duplicate content.​

Secure Authoritative Mentions

Get third-party citations and backlinks from trusted domains—especially in list-style content. Engage in digital PR campaigns to earn placements on credible sites.​

Focus on EEAT

Add author bios, credentials, and proprietary insights. Posts featuring unique data, case studies, or expert opinions are prioritized for citation.​

Launch Content with Engagement Tactics

Monitor CTR and distribute new content to high-engagement audiences in the initial window. Early performance can trigger algorithmic amplification.​

FAQs about Ranking on Perplexity

What makes content “AI-friendly” for Perplexity?

Content that is structured—using clear headers, lists, and direct answers—is more likely to be cited. Schema markup and Q&A formatting increase extractability for AI engines.​

Does Perplexity use the same ranking signals as Google?

While there’s overlap (domain authority, freshness, EEAT), Perplexity applies additional topic multipliers and reranking algorithms, prioritizing structured, concise answers and authoritative third-party mentions.​

How can I improve the odds of my site being cited?

Focus on topical depth, structure, and engagement. Build authority in your niche, optimize for current events, and ensure AI crawlers can access your site.​

Can smaller brands rank on Perplexity?

Yes—Perplexity’s contextual and conversational focus means smaller, trustworthy sites specializing in personalized or topic-specific content often get cited for nuanced searches.​

How does Sky SEO Digital approach Perplexity ranking?

They build topical clusters, use schema markup, refresh posts regularly, and pursue digital PR placements. Their Miami-centric content routinely earns citations for local queries.​

What role does freshness play in Perplexity’s algorithm?

Current posts, updated stats, and timely information receive preference. Projects like Sky SEO Digital’s periodic updates help them remain visible for trending prompts.​

What errors should be avoided?

Don’t block AI crawlers with restrictive robots.txt. Avoid keyword stuffing, poor structure, and outdated information. Focus on clarity, credibility, and engagement.​

The Future of Search: Answer-Driven

The future of search is answer-driven. By adopting Sky SEO Digital’s proven strategies around authority, structure, freshness, and EEAT, content creators can position themselves for higher visibility and citations in Perplexity AI—increasing both audience reach and brand credibility.​

Summary

Google’s vice president of Search, Liz Reid, recently explained that in AI Overviews, content that resonates most with users—deep, original, authoritative content—tends to get clicked and ranked. Google now treats superficial or derivative content as a kind of “spam” and gives more weight to creators who bring a distinct voice and expertise.

Background

Google has rolled out AI Overviews (sometimes called “AI search”), a feature in which Google attempts to summarize or synthesize content on a given topic using generative AI, and then link to web pages for further reading. In a recent interview, Liz Reid shared insights into how Google measures what content succeeds in that format—and what kinds of content tend to be surfaced.

Reid emphasized that Google doesn’t inherently label AI-generated content as low quality. Rather, the same standards apply to any content—regardless of how it was produced. What matters is whether the content offers insight, depth, and a unique viewpoint.

She also disclosed that Google has expanded its definition of spam to include content that merely rehashes familiar ideas without adding value or originality. Conversely, content delivering real expertise, crafted with care, is more likely to be up-weighted.

AI Overviews Clicks

Here are the key takeaways Reid described about what tends to perform well in AI Overviews:

Feature	Why It Matters
Depth & richness	Superficial or surface-level writing gets fewer clicks. Content needs weight and substance.
Unique perspective / voice	Content that offers a fresh viewpoint or original insight is more engaging.
Expertise and credibility	Google seeks to up-weight creators who show genuine domain competence and care.
Low bounce clicks	Pages that users quickly leave (“bounce”) are penalized in visibility.
Avoiding rehashing others’ ideas	Content that simply repeats surrounding material is considered low-value and is down-ranked.

Reid pointed out that Google’s systems monitor user signals like click behavior, bounce rates, and engagement over time. These signals feed back into AI ranking models to favor content that actually satisfies user intent.

Recommendations for Content Creators

To improve your chances of being surfaced in AI Overviews:

1. Go deep, not broad
   Focus on fewer topics but explore them thoroughly. Use data, examples, and detailed explanations.
2. Inject your voice & insight
   Don’t just restate what’s already out there. Share your experience, analysis, case studies, or angle.
3. Demonstrate authority
   Cite sources, show credentials, and make it clear you know the subject.
4. Avoid filler & fluff
   Stay away from generic content that offers no new value to the reader.
5. Monitor and adapt
   Track which content gets real engagement and iterate accordingly.

AI Overviews FAQs

Is AI-generated content automatically penalized?
No. Google doesn’t automatically treat AI-generated content as low quality. What matters is whether the content itself is useful, expert, and distinct.

What constitutes a “bounce click”?
A bounce click is when a user clicks a result, quickly returns to the search page, and presumably didn’t find what they wanted. Google sees many such clicks as a signal that the content didn’t satisfy the user.

How is “spam” defined under the new approach?
Google now considers “spam” to include content that doesn’t bring new value, repeats existing ideas without insight, or lacks originality and effort.

Does this mean generative summaries or overviews are discouraged?
Not necessarily. But if the summaries just echo what’s everywhere else without adding clarity, context, or domain knowledge, they’re less likely to succeed.

How fast do these ranking adjustments happen?
Reid suggested that Google’s ranking systems continuously adapt based on real user behavior (clicks, engagement, etc.). Over time, this feedback loop helps the system favor content that performs better.

Key Points / Summary

• Microsoft advises optimizing content for AI-powered search, such as Bing’s Copilot.
• AI now extracts structured, self-contained snippets instead of ranking full pages.
• Align titles, headings, and schema; use Q&A blocks and short lists for better visibility.
• Avoid hidden or image-only content, vague claims, and long unbroken text.
• Traditional SEO (crawling, links, metadata) still matters, but clarity and “snippability” are key.
• Google remains dominant, yet AI Overviews and answer engines are changing how users search.
• The future of search blends strong SEO with Answer Engine Optimization (AEO) so AI systems cite your content directly.

From Links to Snippets: What’s Changed

Microsoft frames the shift this way: in classic search, visibility meant being in a ranked list of pages. In AI search, ranking still matters, but the goal is for sections of content to earn a place in the answer that the AI gives. Search Engine Journal AI assistants dissect pages into blocks, evaluate each one’s authority and relevance, and then assemble responses by blending multiple sources.

So the question becomes: which parts of your content are extractable and usable by an AI?

Best Practices Microsoft Recommends

Microsoft highlights these practices to improve the odds that content gets used in AI-generated answers:

• Align title, meta description, and H1 so they clearly communicate what the page is about.
• Use descriptive H2/H3 headings, with each section covering one idea.
• Craft self-contained Q&A blocks or concise paragraphs that can stand alone (i.e. a snippet can be lifted without dependency on too much context).
• Employ short lists, steps, comparisons when helpful (but don’t overdo list formatting).
• Include JSON-LD schema markup that matches the content type.
• Avoid putting important content in places the AI may not see or extract easily, such as hidden tabs/accordions, PDFs, or images without alt text or textual equivalents.
• Don’t bury key ideas in long rambling text, use vague claims, or overload with decorative punctuation.

Microsoft is careful to say there’s no guaranteed method to be included in AI answers — the above steps only increase the likelihood.

What to Avoid

• Large blocks of merged ideas across long paragraphs
• Hidden content (tabs, accordions) or content only rendered after user interaction
• Relying on PDFs for essential content
• Presenting key ideas only in images (without fallback text or HTML)
• Vague statements unsupported by details
• Excessive decorative characters, stylized punctuation, or other “noise”

In effect, you want your content to be as clean, direct, and extractable as possible.

How AI Has Affected Google Search

Google Still Dominates — But the Landscape Is Shifting

Google remains deeply entrenched in how people search. In a cross-platform view of search (including social, video, and AI tools), Google still commands the lion’s share — over 80 %. Even in the traditional search engine market, Google holds around 89 % globally, with Bing and others far behind.

But AI is not a passive evolution — it’s changing how users consume and interact with search results.

The Rise of AI Overviews & Answer Engines

Google has introduced AI Overviews (sometimes called “AI summaries”) embedded into search results. These aim to give users a concise answer drawn from multiple sources without needing to click through to individual pages.

Research suggests these Overviews are already having an impact:

• Over 13 % of Google searches now trigger an AI Overview.
• A study of 700,000 keywords found AI Overviews divert about 15.49 % of organic clicks away from traditional listings.

That means some users get their answers directly in the Overviews and never click into the web pages. So the competition is no longer just among pages — it’s about becoming part of the AI answer itself.

Answer Engine Optimization (AEO / AIO)

Because of this shift, a complementary discipline to SEO has emerged: Answer Engine Optimization (AEO or sometimes called AIO). The aim: structure and present content so AI systems choose it as the source for direct answers.

AEO doesn’t replace SEO — rather it builds on it. Traditional SEO is still essential (for crawlability, domain authority, E-E-A-T, backlinks, etc.). But AEO brings additional requirements:

• Crafting highly specific, succinct content that answers expected queries
• Adding schema (FAQ, HowTo) to clarify the question–answer structure
• Ensuring technical health, crawlability, and rendering compatibility
• Strengthening authority so AI can “trust” your content to cite

In other words, to win in AI search, you need both a strong SEO foundation and content designed for AI extraction.

Implications for Content Strategy

• Content should be modular and blockoriented, not monolithic walls of text.
• Use headings, lists, and clear structures so that AI can lift meaningful pieces.
• Keep your content updated, accurate, and authoritative (E-E-A-T signals matter even for AI).
• Think in terms of statements or answers AI would pick, not just ranking whole pages.
• Monitor how AI Overviews are being used in your niche and which queries trigger them.

In short: being found via search is no longer enough. You want to be part of the answer.

AI Search FAQs

What is AI search (or “AI overviews”)?
AI search refers to search results that incorporate generative AI or summarization layers. In Google’s case, AI Overviews are summaries or concise answers generated from multiple sources, shown directly in the search results.

How is this different from traditional SEO?
Traditional SEO optimizes entire pages to rank in “blue link” results. With AI search, optimization shifts more toward making content extractable—so AI can lift blocks or snippets as part of its answer.

Does optimizing for AI search mean sacrificing traditional SEO?
Not necessarily. The best approach is complementary. Traditional SEO (technical optimization, domain authority, backlinks, E-E-A-T) remains critical. AI optimization (structure, extractable content, schema) builds on top of that.

How can I know if AI Overviews affect my niche?
Use SEO tools to check whether certain queries trigger AI Overviews. Monitor your organic traffic, click patterns, and whether you see fewer clicks or more “zero-click” SERPs.

What kinds of content formats work best for AI extraction?
Formats like Q&A blocks, bullet lists, step sequences, concise paragraphs that express one idea, and clear headings tend to be more “snippable” by AI. Schema like FAQ and HowTo helps too.

Are there cases where AI might prefer not to cite my content?
Yes. If your content is buried, hidden behind scripts, in images without alt text, or lacks clear structure, AI might skip it. Also, if your domain lacks authority or your content lacks credibility, AI may favor other sources.

What should content creators do now to prepare?
Start auditing your content for structure and extractability. Add schema. Align titles and headings. Break up long text into clear blocks. Strengthen your overall SEO foundation (backlinks, trust, site architecture). And experiment — track how AI-driven SERPs evolve in your vertical over time.