2026 SEO Kickoff: Planning Your SEO Strategy for AI Search

Exclusive 2026 survey insights and proven tactics to adapt your SEO for AI search success

This webinar originally aired on January 28, 2026. Watch the full recording to learn how marketers are preparing for AI-infused search in 2026.

AI has fundamentally changed how search works, but it has not replaced SEO.

From Google AI Overviews and expanded “People also ask” experiences to the rapid adoption of ChatGPT and generative search platforms, marketers are navigating a more complex visibility landscape than ever before. The risk is not AI itself. The real risk is reacting with fragmented strategies that dilute focus and performance.

In this on-demand webinar, BrightEdge experts break down what is actually changing in search, what continues to drive results, and how leading teams are adapting their SEO strategies for an AI-infused future without rebuilding everything from scratch. 

What you’ll learn:

  • What the latest BrightEdge survey data reveals about how SEO teams are planning for 2026
  • Which SEO fundamentals still drive performance and what’s changed
  • How BrightEdge enables a unified approach to SEO and AI search optimization across platforms

Why watch:

  • Gain clarity in a rapidly changing search landscape without chasing every new platform or tactic
  • Validate your SEO strategy with real-world data and examples from teams navigating AI-infused search today
  • Save time and resources by learning how leading marketers avoid fragmented approaches to AI optimization
  • Proven value: Rated 4 out of 5 for overall satisfaction and relevance, with 562 marketers attending live

Featured Speakers:

elizabethDave McAnally

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Finance and AI Overviews: How Google Applies YMYL Principles to Financial Search

Last week we covered Healthcare; this week we focus on Finance (YMYL). We analyzed finance keywords across three years. Google applies similar rules, adapted to financial searches.

Data Collected

We analyzed finance keywords at the same point each December across three years to understand:

  • Year-over-year changes in AI Overview deployment rates
  • Query type patterns (educational vs. transactional vs. real-time data)
  • Category-level expansion patterns within finance
  • Comparisons to Healthcare AI Overview deployment

Key Finding

Google draws clear lines in Finance. AI Overview treatment depends entirely on query type: educational queries like "what is an IRA" hit 91% coverage — nearly identical to Healthcare. But real-time price queries like stock tickers sit at just 7%. And just like Healthcare, Google pulled back from local "near me" queries entirely. Same YMYL principles, adapted to different search behaviors.

Google Draws Clear Lines in FinanceGoogle Draws Clear Lines in Finance

AI Treatment Depends on Query Type

Unlike Healthcare's broad 89% coverage across clinical content, Finance shows distinct zones based on what users are trying to accomplish:

  • Educational queries ("what is an IRA"): 91% have AI Overviews
  • Rate and planning queries: 67% have AI Overviews
  • Stock tickers and real-time prices: 7% have AI Overviews

Google uses AI where synthesis adds value — explaining concepts, comparing options, guiding decisions. For live market data where real-time accuracy matters, Google keeps AI out entirely.

The Real-Time Data Decision

Stock ticker queries represent a deliberate exclusion. Queries like "AAPL stock," "Tesla price," and "Microsoft share price" request real-time price data, not information synthesis.

Google's treatment has been consistent:

  • December 2023: 5% had AI Overviews
  • December 2024: 4% had AI Overviews
  • December 2025: 7% have AI Overviews

This isn't a gap Google is trying to close — it's a line they've drawn. Real-time accuracy matters more than AI synthesis for price lookups.

Where Finance Matches Healthcare

Educational Content Gets the Same Treatment

Google treats educational queries nearly identically across both YMYL industries:

  • Finance "what is" queries: 91% have AI Overviews
  • Healthcare "what is" queries: 95% have AI Overviews

Examples of finance educational queries with AI Overviews:

  • "what is an IRA"
  • "how does compound interest work"
  • "what is dollar cost averaging"
  • "what is a derivative"
  • "ebitda meaning"
  • "what is a bond"

Planning and Guidance Content

Queries seeking financial planning guidance show similar patterns to healthcare treatment queries:

  • Retirement planning queries: 61% have AI Overviews
  • Rate information queries: 67% have AI Overviews
  • Tax-related queries: 55% have AI Overviews

Examples include "rmd table," "capital gains tax rate," "traditional ira vs roth ira," and "what is long term care insurance."

The Local Pullback — Same Story as Healthcare

Google Removed AI From Local Finance Queries

Last week's biggest Healthcare finding: Google pulled AI Overviews from "near me" queries entirely, dropping from 100% coverage in 2023 to 0% in 2025.

Finance shows the same pattern:

  • December 2023 (SGE Labs): 90% of local finance queries had AI Overviews
  • December 2024: 0% of local finance queries had AI Overviews
  • December 2025: ~10% of local finance queries have AI Overviews

The only local query retaining AI coverage is "tap to pay atm near me" — which is more educational about the feature than truly local intent.

Queries Google Removed AI From

  • "Chase bank near me" — NO AIO
  • "Wells Fargo near me" — NO AIO
  • "Bank of America financial center near me" — NO AIO
  • "Financial advisors near me" — NO AIO
  • "ATM near me" — NO AIO
  • "Moneygram near me" — NO AIO
  • "Edward Jones near me" — NO AIO

The Implication

Google tested AI on local queries in both Healthcare and Finance during the SGE Labs period. After broader rollout, they pulled back from both. For "near me" queries, it's all about local pack and maps presence — no AI layer to compete with.

Where AI Is Expanding Fast

Post-Google I/O Growth Trajectory

The SGE-to-AIO transition in May 2024 reset the baseline. Since then, Finance educational and planning content has expanded rapidly.

Post-Google I/O growth (June 2024 → December 2025):

  • Educational queries: 70% → 91% (+21 percentage points)
  • Fixed income (bonds, CDs, treasury bills): 28% → 72% (+44 percentage points)
  • Rate information (mortgage rates, HELOC rates): 26% → 67% (+41 percentage points)
  • Tax questions: 0% → 55% (+55 percentage points)

Category Examples

Educational queries include "what is an IRA," "what is dollar cost averaging," "how does compound interest work," and "ebitda meaning."

Fixed income queries include "what is a bond," "treasury bill rates," "cd rates," and "fixed income investments."

Rate information queries include "interest rates today," "current mortgage rates," "heloc rates," "money market rates," and "home equity loan rates."

Tax queries include "capital gains tax rate," "federal tax brackets," and "tax free municipal bonds."

What This Growth Means

If you rank for educational finance content — retirement planning guides, tax explainers, investment education — you're now competing for citations, not just clicks. Traffic may decline even if rankings hold steady, because AI is answering these queries directly.

What Google Keeps AI Out Of

Google has drawn clear lines around query types where AI Overviews don't appear:

Real-Time Price Data

  • Individual stock tickers: 7% have AI Overviews
  • Market indices: Low AI coverage
  • Live price queries: Traditional results dominate

Examples: "AAPL stock," "Tesla price," "dow jones industrial average today," "S&P 500 futures"

Google recognizes that real-time accuracy matters more than AI synthesis for price lookups. These high-volume queries still play by traditional ranking rules.

Local Services

  • "Chase bank near me" — NO AIO
  • "Wells Fargo near me" — NO AIO
  • "Financial advisors near me" — NO AIO
  • "ATM near me" — NO AIO

Google determined that local pack results and Maps integrations serve users better than AI summaries for finding bank branches, ATMs, and financial advisors.

Calculator and Tool Queries

  • Finance calculator queries: 9% have AI Overviews
  • Examples without AI: "401k calculator," "mortgage calculator," "investment calculator," "compound interest calculator"

Users want interactive tools, not AI explanations. Google serves the tools directly.

Brand and Login Queries

  • Brand login queries: 0-4% have AI Overviews
  • Examples: "fidelity login," "charles schwab login," "td ameritrade login," "robinhood"

Navigational queries go straight to the destination — no AI summary needed.

Finance vs Healthcare: Side-by-Side Comparison

||Healthcare|Finance|
|Educational Query AIO Rate|95%|91%|
|Local "Near Me" AIO Rate|0%|~10%|
|Real-Time Data AIO Rate|N/A|7% (tickers)|
|Overall Trajectory|Near saturation (89%)|Rapid expansion|
|YoY Growth (2024→2025)|+4.6pp|Growing fast in educational categories|

The pattern is consistent: Google uses AI where synthesis adds value (education, explanation, planning) and keeps AI out where real-time accuracy or local relevance matters (live prices, market data, "near me" searches).

Technical Methodology

Data Source: BrightEdge Generative Parser™

Analysis Approach:

  • Finance keywords analyzed at equivalent points in December 2023, December 2024, and December 2025
  • AI Overview presence tracked by category (L1/L2 taxonomy) and query type
  • Query types segmented: educational, rate/planning, real-time/transactional, local intent
  • Local intent queries identified and tracked separately
  • Trendline data analyzed for post-I/O growth trajectory

Measurement Periods:

  • December 2023 snapshot: December 29, 2023
  • December 2024 snapshot: December 29, 2024
  • December 2025 snapshot: December 26, 2025
  • Trendline data: Daily tracking November 2023 through December 2025

Key Takeaways

  • Google Draws Clear Lines: AI treatment in Finance depends entirely on query type — 91% for educational, 67% for rates/planning, 7% for stock tickers.
  • Educational Content Matches Healthcare: "What is" queries hit 91% AI Overview coverage in Finance — nearly identical to Healthcare's 95%.
  • Real-Time Data Stays Out: Stock tickers, market indices, and live price queries sit at 7% AI coverage. Google keeps AI out where real-time accuracy matters.
  • Local Pullback Confirmed: Google removed AI from "near me" finance queries just like Healthcare. Bank branches, ATMs, and financial advisors "near me" show minimal AI coverage.
  • Rapid Expansion Underway: Educational and planning categories grew 20-55 percentage points in one year. Tax, fixed income, and rate queries are expanding fast.
  • Same Principles, Different Application: Both YMYL industries show identical patterns — AI for education, traditional results for local and real-time data.

Industry Implications:

This research confirms that Google applies consistent YMYL principles across industries while adapting to category-specific search behaviors.

For financial services marketers, the implications are significant:

Educational content = New metrics. Retirement planning guides, tax explainers, investment education, "what is" content — expect AI Overviews on most of these queries. If traffic declined while rankings held steady, AI — not your content — is likely the cause. Track citations, not just clicks.

Real-time data = Traditional rankings. Stock prices, market indices, ticker lookups — Google keeps AI out. These high-volume queries still play by traditional ranking rules. Position tracking tells the full story here.

Local "near me" = Maps territory. Bank branches, ATMs, financial advisors — no AI layer to compete with. Google Business Profile optimization and local pack presence drive these results.

The expansion continues. Unlike Healthcare (near saturation at 89%), Finance educational content is still growing rapidly. Categories at 55-70% today could reach 80-90% by late 2026. Plan your measurement strategy accordingly.

Two metrics now matter. For educational and planning content, track AI citation presence alongside traditional rankings. For real-time and local queries, traditional position tracking still tells the full story.

Same strategy, different emphasis. Quality content and technical SEO excellence work across both AI and traditional results. Understanding WHERE your visibility lives helps you measure success correctly and allocate resources appropriately.

Download the Full Report

Download the full AI Search Report —Finance and AI Overviews: How Google Applies YMYL Principles to Financial Search

Click the button above to download the full report in PDF format.

Published on January 03, 2026

Healthcare and AI Overviews: How Google Sharpened Its Approach Over Three Years

Using BrightEdge Generative Parser™, we tracked healthcare keywords over three annual snapshots (Dec 2023, 2024, and 2025). The data shows Google increasing AI-related content in clinical topics, while reducing focus on local and sensitive health queries.

Data Collected

We analyzed healthcare keywords at the same point each December across three years to understand:

  • Year-over-year changes in AI Overview deployment rates
  • Query type patterns (clinical vs. local vs. sensitive topics)
  • Specialty-level expansion patterns within healthcare
  • Stability and volatility trends over time

Key Finding

Google expanded AI Overview coverage in healthcare from 59% to 89% over two years — but drew clear boundaries. Clinical content is now near-saturated (93-100% coverage), while local "near me" queries saw a complete reversal: from 100% AI Overview presence in 2023 to 0% today. Google isn't treating all healthcare queries the same. They're matching AI presence to query type — and they've stabilized their approach.

The Three-Year Transformation

December 2023: 59% of Keywords Had AI Overviews

In late 2023, Google was still in expansion mode with AI Overviews (then called SGE). Healthcare showed moderate coverage, with roughly six in ten queries triggering an AI-generated response.

This was the testing phase. Google was learning where AI helped users and where it created problems — particularly in a Your Money Your Life (YMYL) category like healthcare.

December 2024: 84% of Keywords Had AI Overviews

The biggest expansion happened between 2023 and 2024. AI Overview presence jumped 25 percentage points in a single year as Google rolled out the feature broadly following Google I/O 2024.

Healthcare saw aggressive growth across most clinical categories during this period.

December 2025: 89% of Keywords Have AI Overviews

Growth continued but decelerated significantly — just 5 percentage points year-over-year. This suggests Google has reached near-saturation for the query types it intends to cover.

The slower growth isn't hesitation. It's refinement. Google drew lines on where AI belongs in healthcare search.

The Intent Interpretation

The 30 percentage point expansion from 2023 to 2025 wasn't uniform. It reflects Google's learning about healthcare search intent:

  • Clinical information intent → Heavy AI treatment (symptoms, treatments, conditions)
  • Local provider intent → AI removed entirely (Google reversed course)
  • Sensitive health topics → AI consistently excluded (crisis, mental health)

Google is matching SERP treatment to query risk profile, not just search volume or category.

Where Google Went All-In: Clinical Content

Query Type Breakdown (December 2025)
Treatment and procedure queries now show 100% AI Overview presence — up from 45% in 2023. This represents a 55 percentage point increase.

Pain-related queries show 98% AI Overview presence — up from 58% in 2023. This represents a 40 percentage point increase.

Symptoms and conditions queries show 93% AI Overview presence — up from 57% in 2023. This represents a 36 percentage point increase.

Medical coding queries (ICD-10, CPT) show 90% AI Overview presence — up from 67% in 2023. This represents a 23 percentage point increase.

What This Means for Clinical Content
If you're measuring organic traffic on treatment pages, symptom guides, or condition explainers — and seeing declines while rankings hold steady — AI Overviews are likely the cause.

A Position 1 ranking on "rotator cuff surgery recovery" doesn't deliver the same traffic it did in 2023. The AI Overview answers the query before users reach organic results.

The Specialty Breakdown

  • Google's expansion varied significantly by medical specialty. Core clinical specialties saw the highest coverage:
  • Genetic/Genomic content: 97% have AI Overviews (up from 63% in 2023)
  • Cardiology content: 96% have AI Overviews (up from 63% in 2023)
  • Urology content: 96% have AI Overviews (up from 68% in 2023)
  • Gastroenterology content: 94% have AI Overviews (up from 41% in 2023)
  • Orthopedics content: 94% have AI Overviews (up from 63% in 2023)
  • Neurology content: 89% have AI Overviews (up from 64% in 2023)
  • Lower coverage categories include:
  • Primary Care content: 74% have AI Overviews (up from 66% in 2023)
  • Mental Health/Behavioral content: 63% have AI Overviews (up from 58% in 2023)
  • Eating Disorders content: 63% have AI Overviews (up from 32% in 2023)
  • The pattern: clinical specialties with clear diagnostic and treatment pathways saw the most aggressive expansion. Categories intersecting with sensitive topics or local intent saw more conservative treatment.

Where Google Pulled Back: The Reversal Story

Local "Near Me" Queries: 100% → 0%

This is the most significant finding in the data. Google completely reversed its approach to local healthcare searches.

  • December 2023: 100% of local/provider intent queries had AI Overviews
  • December 2024: 14% of local/provider intent queries had AI Overviews
  • December 2025: 0% of local/provider intent queries have AI Overviews

Queries affected include searches like "dermatologist near me," "cardiologist near me," "pediatric dentist near me," and "best family doctor near me."

Google tested AI Overviews on these queries. Then removed them entirely.

Why This Matters

User-Generated Content
For healthcare practices, clinics, and hospital systems: your local SEO investment still pays off. Google has decided — at least for now — that local healthcare provider searches should be handled by traditional local results (Maps, local pack, organic listings) rather than AI summaries.

The queries that drive new patient acquisition remain traditional SEO territory.

Visual and Imaging Content: 45% → 30%

Queries seeking medical images, X-rays, or diagnostic visuals also saw Google pull back:

  • December 2023: 45% had AI Overviews
  • December 2025: 30% have AI Overviews

Queries like "broken ankle x-ray," "MRI results interpretation," and "skin cancer pictures" don't lend themselves to text-based AI summaries. Google recognized this and reduced coverage.

This creates an opportunity: image-rich medical content faces less AI competition than text-based clinical content.

Where Google Consistently Excludes AI

Some healthcare topics have shown zero or near-zero AI Overview presence across all three years. Google has clearly made policy decisions to keep AI out of these areas:

Consistently Excluded (0% AI Overviews)

  • Self-harm and suicide-related queries
  • Specific eating disorder names (anorexia, bulimia)
  • Crisis intervention terminology
  • Addiction-related queries

Consistently Low Coverage

  • Mental health crisis terminology
  • Abuse-related queries
  • Visual diagnostic content

The Implication

If your content focuses on sensitive mental health topics, traditional SEO fundamentals still apply. Rankings matter. Featured snippets matter. AI isn't intercepting these users — Google has determined that human-curated results are more appropriate.

The Stability Factor: Volatility Is Over

Early 2024: High Volatility

If your content focuses on sensitive mental health topics, traditional SEO fundamentals still apply. Rankings matter. Featured snippets matter. AI isn't intercepting these users — Google has determined that human-curated results are more appropriate.

Late 2025: Stable Deployment

By late 2025, monthly volatility dropped to approximately 5 percentage points. Google has settled into a steady state.

What This Means for Planning

The wild experimentation phase is over. What you see now is Google's established approach to healthcare AI Overviews. You can plan content strategy around these patterns with reasonable confidence they'll persist.

Search Volume Analysis

AI Overview deployment in healthcare does not significantly vary by search volume:

  • High volume keywords (100K+ monthly searches): 89% have AI Overviews
  • Medium volume keywords (10K-100K monthly searches): 88% have AI Overviews
  • Low volume keywords (1K-10K monthly searches): 89% have AI Overviews
  • Very low volume keywords (under 1K monthly searches): 100% have AI Overviews

Google isn't reserving AI Overviews for high-traffic queries. Even long-tail, low-volume medical queries now predominantly feature AI-generated responses.

The decision factor isn't volume — it's query type and intent.

Technical Methodology

Data Source: BrightEdge Generative Parser™

Analysis Approach:

  • Healthcare keywords analyzed at equivalent points in December 2023, December 2024, and December 2025
  • AI Overview presence tracked by specialty area (L2 taxonomy) and query type
  • Query intent patterns categorized by clinical, local, sensitive, and visual content types
  • Stability measured by monthly variance in AI Overview deployment rates

Measurement Periods:

  • December 2023 snapshot: December 22, 2023
  • December 2024 snapshot: December 22, 2024
  • December 2025 snapshot: December 22, 2025
  • Trendline data: Daily tracking November 2023 through December 2025

All figures expressed as percentages to protect proprietary dataset composition.

Key Takeaways

  • The Coverage Expansion: Healthcare AI Overview presence grew from 59% to 89% over two years — a 30 percentage point increase. Most growth occurred between 2023 and 2024.
  • The Clinical Saturation: Treatment queries (100%), pain-related queries (98%), and symptom queries (93%) are now near-fully covered by AI Overviews. Clinical content is AI territory.
  • The Local Reversal: "Near me" and provider-finding queries went from 100% AI Overview coverage in 2023 to 0% in 2025. Google completely reversed course on local healthcare search.
  • The Sensitivity Boundaries: Self-harm, eating disorder names, crisis terms, and addiction queries remain consistently excluded from AI Overviews across all three years.
  • The Specialty Pattern: Clinical specialties (Cardiology, Gastro, Ortho) show 94-97% coverage. Mental health and primary care show 63-74% coverage.
  • The Stability Shift: Monthly volatility dropped from ~20 percentage points in early 2024 to ~5 percentage points in late 2025. Google's approach has stabilized.

Industry Implications:

This research confirms that Google's AI Overview strategy for healthcare has moved from experimentation to established policy. The testing phase produced clear conclusions that now govern deployment.

For healthcare marketers and SEO professionals, the implications are significant:

The landscape has bifurcated. Clinical information queries are AI territory — expect AI Overviews on nearly every symptom, treatment, or condition query. Local provider queries remain traditional SEO territory — Google removed AI entirely.

Traffic declines may not indicate content problems. If your clinical content shows declining traffic while rankings hold steady, AI Overviews — not content quality — are likely the cause. Adjust your success metrics accordingly.

Local SEO still delivers. For practices, clinics, and hospital systems focused on patient acquisition, Google Business Profile optimization and local search fundamentals still drive results. Google kept AI out of these queries.

Sensitive content follows traditional rules. Mental health crisis content, eating disorder resources, and addiction support pages compete in a traditional SERP environment. E-E-A-T signals and authoritative sourcing remain your primary levers.

Two metrics now matter. For clinical content, track AI citation presence alongside traditional rankings. For local content, traditional position tracking still tells the full story.

The system has stabilized. Unlike the volatile deployment of early 2024, Google's current approach appears settled. Plan your 2026 strategy around these patterns with confidence.

Download the Full Report

Download the full AI Search Report — Healthcare and AI Overviews: How Google Sharpened Its Approach Over Three Years

Click the button above to download the full report in PDF format.

Published on December 24, 2025

Google’s AI-Generated Responses to Health Queries Aren’t Very Helpful — Yet

English, British
News Item Title
Google’s AI-Generated Responses to Health Queries Aren’t Very Helpful — Yet
News Item Author Name
eMarketer
News Item Published Date
News Item Summary

The article highlights how Google’s AI-generated responses for health queries often fall short for users, with only about a quarter reporting useful answers. It ties in BrightEdge data showing AI Overviews are appearing more frequently on complex informational searches and notes a significant drop in click-through rates in healthcare categories, reinforcing the need for brands to rethink content structure and visibility in an AI-driven search landscape.

Google Search Grows Stronger in the AI Age

English, British
News Item Title
Google Search Grows Stronger in the AI Age
News Item Author Name
Hospitality.today
News Item Published Date
News Item Summary

The article explores how Google search continues to grow in reach despite AI Overviews, citing BrightEdge data showing a 49% year-over-year increase in impressions since launch. While click-through rates are declining, the analysis highlights how visibility and engagement remain strong, pushing brands to rethink content for AI-powered discovery.

ChatGPT vs. Google: BrightEdge Research Exposes a Search Split Marketers Can’t Ignore

English, British
News Item Title
ChatGPT vs. Google: BrightEdge Research Exposes a Search Split Marketers Can’t Ignore
News Item Author Name
Martech Edge
News Item Published Date
News Item Summary

BrightEdge research reveals a clear split between ChatGPT’s task-focused results and Google’s information-led approach, with divergence rates of 39%–62% across industries. The article explains why brands must adapt content strategies for both models to remain visible as AI-driven discovery evolves.

Where Brands See Most Mentions on AI Search Engines

English, British
News Item Title
Where Brands See Most Mentions on AI Search Engines
News Item Author Name
MediaPost
News Item Published Date
News Item Summary

The article highlights BrightEdge research analyzing how often brands are mentioned across AI search platforms. Findings show AI Mode surfaces the most brands in consideration queries, followed by ChatGPT and Google AI Overviews, reinforcing that traditional search still plays a key role even as AI changes how brands are discovered.

How to Write so That AI Agents Actually Understand

English, British
News Item Title
How to Write so That AI Agents Actually Understand
News Item Author Name
Inc.com
News Item Published Date
News Item Summary

The piece outlines practical guidance for writing content that AI agents can accurately interpret and surface, including clearer structure, authoritative language, and detailed FAQs. It references BrightEdge data showing complex queries have risen 700% since AI Overviews launched, underscoring why AI-readable content is now critical for visibility.

Q&A: Jim Yu on Why “SEO Has Never Been More Vital” in the AI Discovery Age

English, British
News Item Title
Q&A: Jim Yu on Why “SEO Has Never Been More Vital” in the AI Discovery Age
News Item Author Name
Econsultancy
News Item Published Date
News Item Summary

Econsultancy’s Q&A with BrightEdge CEO Jim Yu explores why SEO remains foundational even as AI-driven discovery expands. Jim explains that structured content, intent mapping, and E-E-A-T signals are what make brands visible to AI systems, and that metrics like AI impressions, citations, and share of conversation now matter alongside rankings. The discussion reinforces why strong SEO will underpin search success in 2026.

How Marketing Can Be Authentic in the Age of AI

English, British
News Item Title
How Marketing Can Be Authentic in the Age of AI
News Item Author Name
Forbes
News Item Published Date
News Item Summary

The article examines how brands can maintain trust and credibility while using AI in marketing, emphasizing transparency and human-led storytelling. It highlights the growing tension between automation and authenticity, a key challenge for marketers as AI becomes more embedded in search, content creation, and customer engagement.