AI SEO Tools You Need in 2025

AI SEO Tools You Need in 2025

AI is no longer a buzzword in SEO—it’s the backbone of how top-performing websites are created, optimized, and ranked in 2025. From real-time keyword clustering to intent detection, AI SEO tools are helping marketers and agencies move faster, rank higher, and generate better content at scale.

In this post, we’ll break down the top AI SEO tools you need in 2025, what they do best, and how to integrate them into your strategy to stay ahead of Google’s AI-first algorithm.


Why AI Tools Are Essential for SEO in 2025

Google’s move toward AI Overviews, semantic search, and topical authority has transformed how content is ranked. The days of stuffing keywords and checking boxes are over. Today’s SEO demands:

  • Smarter content mapping

  • Real-time SERP analysis

  • Deep understanding of user intent

  • Scalable content production

  • Optimization for AI-generated summaries

AI tools enable all of that—while saving hours of manual work.


The 10 Best AI SEO Tools for 2025

1. Surfer SEO

Best for: On-page optimization + content scoring

Surfer analyzes top-ranking pages in real time and uses NLP to recommend keyword usage, structure, headings, and readability enhancements.

Features:

  • Content Editor with real-time score

  • SERP Analyzer

  • Keyword guidelines based on top 10 results

  • Integration with Jasper AI and Google Docs

Use it for: Writing blog content that ranks on day one.


2. MarketMuse

Best for: Content planning + topical authority

MarketMuse uses AI to map topic coverage, identify gaps, and prioritize high-impact content updates.

Features:

  • Topic modeling & content briefs

  • Competitive content analysis

  • Domain authority scoring by topic

  • Personalized content plan

Use it for: Building topic clusters that boost E-E-A-T and AI Overview inclusion.


3. Frase

Best for: Content briefs + AI writing assistant

Frase combines AI content generation with SERP-driven briefs and outlines that target the latest search intent.

Features:

  • Automatic brief generation from SERPs

  • AI writing templates

  • Outline builder

  • FAQ mining from competitors

Use it for: Fast content production that stays on-topic and intent-aligned.


4. Clearscope

Best for: Enterprise content optimization

Clearscope focuses on precision keyword and topic scoring with a clean UI and deep NLP data.

Features:

  • Real-time content scoring

  • Keyword suggestions with volume

  • Competitor term usage analysis

  • Integration with Google Docs

Use it for: Editorial teams scaling SEO content with data-driven precision.


5. Content at Scale

Best for: AI-powered long-form content creation

This tool can create full SEO blog posts from a single keyword using generative AI, optimized for human readability and SERP relevance.

Features:

  • Long-form content generation

  • Built-in plagiarism check

  • SERP scoring and internal linking

  • AI content detection bypass features

Use it for: Programmatic content creation at scale (with oversight).


6. InLinks

Best for: Internal linking and entity SEO

InLinks uses AI to build semantic schema and automate internal linking based on topic clusters and entity recognition.

Features:

  • Auto-generated internal links

  • FAQ schema injection

  • NLP topic mapping

  • Semantic HTML analysis

Use it for: Improving crawlability, topical authority, and AI-index alignment.


7. Jasper AI

Best for: AI-assisted content writing

Jasper lets marketers create SEO-optimized copy, ads, blogs, and meta descriptions quickly with strong prompt control.

Features:

  • Brand voice memory

  • SEO writing workflows

  • Templates for blog posts, meta tags, etc.

  • Surfer SEO integration

Use it for: Scalable branded content creation across channels.


8. WriterZen

Best for: Keyword discovery and topic clustering

WriterZen helps identify high-intent keyword clusters and build outlines using AI and search insights.

Features:

  • Keyword Golden Ratio analysis

  • Cluster generation

  • Outline builder with AI assistance

  • Plagiarism checker

Use it for: Planning and executing your content strategy in logical clusters.


9. NeuralText

Best for: Content creation + optimization in one UI

A versatile AI content platform combining keyword research, brief creation, and SERP optimization in a single tool.

Features:

  • AI writing assistant

  • SERP competitor analysis

  • NLP-based content editor

  • Keyword grouping

Use it for: Solo marketers or lean teams doing everything in one place.


10. RankMath (Pro)

Best for: AI SEO on WordPress sites

RankMath’s AI Assistant integrates directly into WordPress, offering real-time suggestions and schema generation for posts and pages.

Features:

  • AI-based content scoring

  • One-click schema markup

  • Focus keyword recommendations

  • AI FAQ generation

Use it for: On-page optimization while you write in WordPress.


How to Choose the Right AI SEO Tool

Not all tools are created equal. Here’s how to decide which one is right for you:

GoalRecommended Tool(s)
Fast content productionFrase, Jasper, Content at Scale
Deep topic researchMarketMuse, Clearscope, WriterZen
Internal linking & schemaInLinks, RankMath
On-page optimizationSurfer, Clearscope, Frase
All-in-one content workflowNeuralText, WriterZen

The Future of SEO: Human + AI Collaboration

In 2025, SEO success isn’t about replacing writers or strategists with AI—it’s about empowering them with AI tools to:

✅ Write faster
✅ Target smarter
✅ Optimize better
✅ Scale easier
✅ Stay competitive as Google evolves

AI is your co-pilot, not your competitor.


Ready to Build an AI-Powered SEO Strategy?

At Rank Rise, we help businesses implement AI SEO tools and strategies that drive measurable organic growth.

👉 Request Your Free AI SEO Audit to find out which tools and tactics can accelerate your rankings.

The Future of SEO: How Google’s AI-First Index Is Changing Everything

The Future of SEO: How Google’s AI-First Index Is Changing Everything

The world of search is evolving—fast. With Google’s continued shift toward an AI-first index, traditional SEO tactics are quickly becoming outdated. Search engines are no longer just matching keywords—they’re interpreting intent, generating answers, and ranking semantic relevance using powerful large language models (LLMs).

In this guide, we’ll break down what an AI-first index actually means, how it impacts rankings, and what you can do to future-proof your SEO strategy in 2025 and beyond.

What Is Google’s AI-First Index?

Google’s AI-first index refers to a fundamental shift in how it evaluates and ranks content. Rather than focusing solely on keywords, backlinks, and crawlability, the AI-first model uses machine learning and natural language processing (NLP) to:

  • Understand deeper context and semantics of content

  • Predict user intent across multiple dimensions

  • Generate AI Overviews and direct answers

  • Prioritize topical authority over keyword repetition

Key Differences from Traditional Indexing:

Traditional SEOAI-First SEO
Keyword matchingIntent matching & semantic understanding
Link-based authorityTopical and entity authority
Crawl frequency-driven rankingContent usefulness & freshness
Manual optimizationMachine-learned signals + UX metrics

In the past, SEOs could “optimize” pages around a handful of keywords and expect decent results. Today, Google’s AI interprets content holistically, across:

  • Topic clusters

  • User journeys

  • Natural language queries

  • Real-world credibility (E-E-A-T)

If your content doesn’t answer a query in a clear, authoritative, and structured way, you risk being ignored by both the user and Google’s AI.

7 Ways to Future-Proof Your SEO for the AI-First Index

1. Build Topical Authority with Content Clusters

In 2025, single blog posts rarely rank in isolation. Google’s AI favors websites that demonstrate topic mastery.

How to do it:

  • Create pillar pages around core themes

  • Support them with interlinked cluster articles

  • Cover every angle of a subject (how, what, why, tools, trends, etc.)

  • Use internal linking to reinforce topical relevance

2. Focus on Semantic Search Optimization

Semantic SEO is about optimizing your content not for exact-match keywords, but for meaning and context.

Action steps:

  • Use entity-based SEO tools (like InLinks, WordLift)

  • Include synonyms, related terms, and conceptually linked ideas

  • Optimize for people also ask and follow-up queries

3. Optimize for AI Overview Inclusion

With AI Overviews (formerly SGE) now live in many markets, appearing in these summaries is the new page one.

Tips:

  • Answer questions in simple, scannable language

  • Use bullet points and lists

  • Structure your articles with H2/H3 questions

  • Include summaries or TL;DR sections

4. Strengthen Your E-E-A-T Signals

Google’s AI models prioritize content that reflects Experience, Expertise, Authoritativeness, and Trustworthiness.

Build E-E-A-T by:

  • Including author bios with credentials

  • Using factual references and citing trusted sources

  • Earning backlinks from credible domains

  • Publishing consistently on key topics

5. Adopt AI-Enhanced Content Workflows (Responsibly)

AI tools can support SEO—but only when used strategically.

Smart uses of AI:

  • Content briefs (Surfer, MarketMuse, Clearscope)

  • Idea generation and outlines

  • Internal linking automation

  • Schema generation

⚠️ Avoid publishing low-quality, AI-generated spam. Google is already cracking down with manual penalties.

6. Implement Advanced Schema and Structured Data

Structured data helps AI models understand your site better.

Prioritize these schema types:

  • Article / BlogPosting

  • FAQPage

  • HowTo

  • Author / Organization

  • Product (for ecommerce)

  • VideoObject (for embedded content)

7. Track Emerging AI Search Metrics

Expect Google Search Console to introduce new reporting focused on AI Overview impressions, clicks, and citations.

In the meantime:

  • Monitor AI Overviews manually via Incognito search

  • Track click and engagement trends on long-tail content

  • Use Semrush, Ahrefs, or Similarweb to study shifting search behavior

AI and UX Are Now Intertwined

Google’s AI-first index doesn’t just evaluate content quality—it also considers user experience, such as:

  • Core Web Vitals (LCP, FID, CLS)

  • Site structure and crawlability

  • Content layout and accessibility

  • Mobile responsiveness

  • Time on page and bounce rate

Optimizing for AI means optimizing for humans first—and machines second.

What the Future of SEO Looks Like

TrendImpact on SEO Strategy
AI-generated SERP answersOptimize for AI summarization (not just ranking)
Search continues going conversationalUse natural tone, FAQs, and semantic structure
Visual search & multimodal AIInclude images, diagrams, videos, schema
Zero-click results increaseFocus on branding, authority, and micro-engagement
Content velocity & freshness matterRegularly update and republish top assets

Final Thoughts: Don’t Fight the Algorithm—Work With It

The AI-first index isn’t something to fear—it’s something to adapt to. The businesses that win will be the ones that embrace structure, clarity, authority, and user-first content design.

SEO is no longer just about ranking—it’s about earning trust from both users and machines.

Ready to Upgrade Your SEO for the AI Era?

Rank Rise helps brands dominate organic search by building scalable, AI-first SEO strategies that actually convert.

👉 Request Your Free SEO Audit and discover how to future-proof your rankings.

Google Search Console to Add AI Overview Reporting

Google Search Console to Add AI Overview Reporting

In a major move that signals Google’s commitment to integrating AI deeply into the search experience, Google has confirmed that AI Overview reporting is coming to Google Search Console. This long-awaited feature will give SEOs and content marketers new visibility into how often their content is being cited in AI Overviews (formerly SGE).

Here’s what this change means, why it matters, and how to prepare your site to benefit from the rollout.

What Is AI Overview Reporting?

AI Overview reporting refers to a new set of metrics being developed for Google Search Console (GSC) that will show:

  • How often a URL is featured in Google’s AI Overviews

  • What queries triggered those appearances

  • Click-through performance (if available)

  • Possibly, the format and content Google cited from your page

While this feature is still in early stages, Google has confirmed it’s being actively worked on and aligns with growing publisher demand for transparency around AI-generated content display.

Why This Matters for SEO

Until now, there’s been zero direct visibility into whether your content appears in AI Overviews—despite them occupying prime SERP real estate above the traditional organic results.

With AI Overview reporting, you’ll finally be able to:

✅ See which pages are cited in AI summaries
✅ Measure traffic driven from those placements
✅ Analyze what content structures or formats get featured
✅ Optimize specifically for AI Overviews using real data

In short: SEO in 2025 isn’t just about traditional blue links—it’s about being the chosen source in Google’s AI summaries.

Context: Google’s Shifting Search Interface

This update comes amid major changes to how Google delivers answers:

  • Search Generative Experience (SGE) is being rebranded and more widely rolled out under the AI Overview name.

  • Fewer organic links are appearing above the fold, as AI-generated content takes center stage.

  • Publishers and SEOs have been frustrated by the lack of attribution data—until now.

How to Prepare for AI Overview Reporting

With this feature coming soon, smart marketers will begin proactively optimizing for AI Overview placement. Here’s how:

1. Structure Your Content for AI Summarization

Google’s AI favors pages that are:

  • Clearly structured with H2/H3 subheadings

  • Rich in lists, bullet points, and concise paragraphs

  • Focused on E-E-A-T (Experience, Expertise, Authoritativeness, Trust)

2. Use FAQ and How-To Schema Markup

Structured data increases the likelihood that your content can be parsed, cited, or linked by Google’s AI systems.

3. Track AI-Cited Queries Manually (For Now)

While Search Console doesn’t offer this reporting yet, you can:

  • Run incognito searches for your top keywords

  • Look for inclusion in AI Overviews

  • Note content types and patterns Google prefers

Once the feature is live, compare your assumptions to real data.

4. Create AI-Friendly Summaries in Your Articles

Include TL;DR sections or executive summaries at the top of long-form content. These help both users and AI distill your key insights.

Will AI Overview Clicks Be Significant?

There’s debate in the SEO world over whether AI Overviews drive meaningful clicks—or if users get what they need from the summary alone.

But early evidence suggests:

  • Google is experimenting with highlighted source citations, making it easier for users to click through.

  • As users become more familiar with AI Overviews, trust and engagement may increase over time.

  • Being featured builds brand awareness and perceived authority, even if clicks are lower.

What Metrics Might Appear in GSC’s AI Overview Report?

While Google hasn’t finalized the layout, here’s what we expect based on past features:

MetricDescription
Impressions in AI Overview# of times your content was cited in summaries
Clicks from AI Overview# of times users clicked to your site
Queries triggering appearanceKeywords that led to your citation
URL and content snippet citedPreview of what part of your page was used

Final Thoughts: SEO is Getting Smarter

Google’s decision to bring AI Overview data into Search Console is a clear message:

If you want to win in search, you need to optimize for how Google delivers answers now—not how it did five years ago.

This means focusing on:

✅ Information structure
✅ Topical authority
✅ Credibility and freshness
✅ Semantic richness

As AI continues to shape search, Rank Rise is here to help businesses adapt fast and dominate smarter.

Get Ahead Before the Feature Launches

Want to prepare your site for AI Overview visibility before the data hits Search Console?

👉 Request a Free AI SEO Audit from Rank Rise and future-proof your content strategy today.

How To Choose The Right PPC Management Agency in 2025

How To Choose The Right PPC Management Agency in 2025

Choosing the right Pay-Per-Click (PPC) management agency in 2025 is more critical than ever. With rising ad costs, increasing competition, and evolving platforms powered by AI and automation, a mediocre agency can drain your budget while delivering lackluster results. Meanwhile, the right partner can help you scale profitably, dominate your niche, and gain a competitive edge.

In this guide, we’ll walk you through how to choose the best PPC management agency in 2025, what to look for, what red flags to avoid, and how to evaluate agencies based on your goals and budget.

Why PPC Strategy Is More Complex in 2025

The digital advertising landscape is shifting rapidly. Here’s what’s different in 2025:

  • AI-generated ads and predictive bidding are standard across Google Ads, Meta, LinkedIn, and TikTok.

  • First-party data and server-side tracking are essential due to cookie deprecation.

  • Ad fatigue and rising CPCs make creative testing and funnel strategy more important than ever.

  • Agencies now need to be cross-platform strategists, conversion optimizers, and analytics pros, not just campaign managers.

A modern PPC agency must offer more than keyword targeting—they need to be your growth partner.

Key Traits of a Great PPC Agency in 2025

Here are the must-have traits to look for in your ideal agency partner:

1. Proven Track Record of ROI

Ask for case studies or client references where they’ve improved return on ad spend (ROAS), reduced cost-per-acquisition (CPA), or scaled ad campaigns profitably. Numbers speak louder than promises.

2. Certified & Platform-Savvy

Top agencies in 2025 are certified partners with Google, Meta, LinkedIn, and other platforms. They stay up-to-date with platform changes and betas, and they use advanced features like Performance Max and Advantage+ with precision.

3. Full-Funnel Strategy

A top agency doesn’t just generate clicks—they design ad funnels that convert. Look for capabilities like:

  • Landing page optimization

  • Retargeting sequences

  • A/B testing

  • Conversion rate optimization (CRO)

  • Sales-qualified lead generation (SQL)

4. Transparent Reporting

Expect more than screenshots or vague summaries. The best agencies offer:

  • Real-time dashboards (via Looker Studio, Databox, etc.)

  • Weekly or bi-weekly updates

  • Clear KPIs: ROAS, CPL, CPA, LTV, etc.

5. Custom Strategy (Not Cookie-Cutter)

Avoid agencies that offer “starter packages” with generic keywords and stock ads. Your agency should create a custom strategy for your:

  • Industry

  • Audience

  • Funnel

  • Offer

6. Strong Communication

Responsiveness, regular meetings, and strategic input are vital. A good agency acts like an extension of your team—not just a vendor.

Questions to Ask Before Hiring a PPC Agency

To evaluate the right fit, ask agencies the following:

  • What’s your approach to campaign optimization and testing?

  • Can you share recent results from a similar business or industry?

  • Who will manage my account? How senior is the team?

  • How do you handle creative development (copy, images, video)?

  • How do you handle attribution with GA4 and server-side tracking?

  • What happens if the campaign underperforms?

  • Do you require long-term contracts?

The answers will reveal a lot about their maturity, transparency, and confidence.

Red Flags to Watch Out For

Avoid agencies that:

  • Guarantee #1 rankings or fixed ROAS

  • Use outdated strategies focused only on search keywords

  • Don’t give you access to your ad accounts

  • Rely heavily on automated bidding without human oversight

  • Can’t explain performance metrics clearly

Types of PPC Agencies in 2025

Here’s a breakdown of agency types to help you decide which is right for you:

TypeBest For
Boutique PPC AgenciesNiche businesses seeking hands-on attention
Full-Service AgenciesCompanies wanting PPC + SEO + web + branding
Platform SpecialistsBrands focusing on one channel (e.g., Google Ads)
Ecommerce-Focused FirmsDTC brands scaling with Meta/Google Shopping
Lead Gen ExpertsB2B or local businesses targeting conversions

How Much Should You Pay for PPC Management?

PPC pricing varies based on your ad spend and service model:

Common Models:

  • Flat monthly retainer: $750–$3,000/month

  • Percentage of ad spend: 10–20%

  • Performance-based (hybrid): Retainer + bonus tied to results

Example:

If you spend $5,000/month on Google Ads, expect:

  • A $1,000 flat fee, or

  • 15% of spend = $750/month

Always clarify billing models upfront—and ensure your agency isn’t incentivized to simply increase spend without increasing profit.

What to Expect in the First 90 Days

A great PPC agency will:

  1. Audit and rebuild (if needed) your current campaigns

  2. Identify low-hanging fruit (quick wins)

  3. Launch new campaigns with high-converting copy and creative

  4. Install proper tracking and attribution (GA4, conversions API, etc.)

  5. Run A/B tests on creative, targeting, and landing pages

  6. Report weekly with actionable insights

Final Thoughts: Choosing the Right PPC Partner

In 2025, hiring a PPC agency is not just about managing ads—it’s about choosing a growth partner that understands your business, audience, and goals.

✅ Prioritize experience and results
✅ Demand data transparency
✅ Align with an agency that’s proactive and strategic
✅ Don’t settle for cookie-cutter solutions

Ready to Scale with Confidence?

Rank Rise is a modern PPC management agency built for the future. We combine data, strategy, and creative performance marketing to help businesses grow smarter—not just spend more.

👉 Get Your Free PPC Audit and discover what your current agency might be missing.

How To Rank in Google Search AI Overview

How To Rank in Google Search AI Overview

With Google’s Search Generative Experience (SGE) rolling out more broadly, traditional blue links are no longer the only (or even the most visible) way to earn traffic from search. Instead, AI Overviews—automated summaries powered by Google’s generative AI—now appear at the top of many SERPs, pushing organic listings further down.

For digital marketers, SEOs, and content creators, this means one thing: adapt or get buried.

In this article, we’ll break down exactly how Google’s AI Overview works, what types of content are most likely to be featured, and actionable strategies to help your site appear in these AI-powered answers.


What Is Google’s AI Overview?

Google’s AI Overview (formerly known as SGE) is a generative summary shown at the top of certain search results. It uses large language models (LLMs) to answer user queries directly—pulling information from multiple websites and sources.

Rather than displaying just links, AI Overviews present:

  • A multi-sentence summary response

  • Links to the sources cited

  • Follow-up questions or suggested next steps

  • Visuals (sometimes)

Example Query:
“How to get better sleep naturally?”
AI Overview might include:

  • Key points from top health blogs

  • Bulleted remedies (melatonin, blue light reduction, etc.)

  • Sources cited with anchor links to original pages


Why Ranking in AI Overview Matters

Traditional SEO focused on ranking in the top 3 organic results. In 2025, your goal is to be cited as a trusted source within Google’s AI-generated answers.

Benefits of appearing in AI Overview:

✅ Prime real estate at the top of SERPs
✅ Higher CTR for source-linked content
✅ Competitive advantage while others lag behind
✅ More authority as an expert in your topic cluster


How Google Chooses Sources for AI Overview

While Google hasn’t published exact criteria, patterns across AI Overview results show that content is selected based on:

  • Relevance to query and user intent

  • Trustworthiness (E-E-A-T)

  • Clear structure and scannability

  • Factual accuracy

  • Topical depth and authority

  • Schema and semantic SEO

  • Indexability and freshness


10 Strategies to Help You Rank in AI Overviews

1. Target Conversational, Long-Tail Keywords

AI Overviews shine on questions and complex queries. Optimize for:

  • “How to…”

  • “What’s the best way to…”

  • “Why does…”

  • “Best tools for…”

  • “Tips to improve…”

2. Write Like a Human (But Optimized for Machines)

Keep your content:

  • Clear and factual

  • Structured with headers and bullets

  • Free of fluff and jargon

  • Backed by credible sources or data

3. Use AI-Ready Structure in Your Content

Make your posts easy to summarize with:

  • H2s that mirror common search questions

  • Paragraphs under 3 sentences

  • Ordered and unordered lists

  • Summary boxes or TL;DR sections

4. Build Topical Authority with Clusters

Google’s AI favors authoritative sources over one-off articles. Create a topic cluster strategy with interlinked posts on a subject:

  • Pillar content + supporting blogs

  • Internal linking for context

  • Consistent coverage over time

5. Boost E-E-A-T Signals

Google’s AI models weigh credibility. Strengthen yours by:

  • Including author bios with credentials

  • Citing reliable third-party sources

  • Using HTTPS and fast, mobile-friendly designs

  • Getting real backlinks from authoritative sites

6. Implement Schema Markup

Use structured data to make your content machine-readable. Recommended schemas:

  • FAQPage

  • HowTo

  • Article

  • Author

  • Organization

7. Update and Refresh High-Performing Content

AI Overviews favor current data. Routinely update:

  • Statistics

  • Product info

  • Examples and tools

  • Date-stamped references

8. Optimize for Voice Search & Conversational Tone

With AI Overviews mimicking human-style answers, your content should sound natural. Use:

  • First-person or second-person writing

  • Common phrasing

  • Questions as headings

9. Get Featured in ‘People Also Ask’

Pages that rank in “People Also Ask” boxes are often referenced in AI Overviews. Use tools like Semrush or Ahrefs to identify PAA questions and answer them concisely in your blog posts.

10. Earn Authoritative Backlinks

Pages with solid link profiles tend to perform better in AI Overviews. Run outreach campaigns, guest posts, and PR to build authority to your key content.


Key Content Formats That Show Up in AI Overviews

Content TypeLikelihood of Being Cited
Step-by-step guidesHigh
Product comparisonsHigh
Q&A format articlesMedium-High
Personal opinionsLow
Opinion-based blogsLow
Medical/legal adviceOnly from authoritative sites

How to Monitor Your Visibility in AI Overviews

Google hasn’t yet added AI Overview tracking to Search Console, but you can monitor:

  • Sudden drops or spikes in CTR

  • Referral traffic from AI-cited pages

  • Visibility using third-party tools like Semrush’s AI tracking or SGE Labs from Authoritas

You can also search your top queries in Incognito mode and see if your content is included in AI Overview summaries.


Final Thoughts: SEO in the AI Era

Ranking in Google’s AI Overview isn’t just about keywords—it’s about creating authoritative, clear, structured content that answers complex queries better than anyone else.

In 2025, SEO is no longer just about backlinks and meta tags. It’s about:

✅ Topic expertise
✅ Conversational structure
✅ High trust signals
✅ Technical readiness


Want Help Getting Featured in Google’s AI Overviews?

Rank Rise helps businesses build content strategies that align with how search works now—not how it worked in 2015.

👉 Get a Free AI-SEO Audit to see how to improve your visibility in AI-powered search results.