Tag: AI optimization

Google’s New SEO Guidelines: A Personal Take on Third-Party Tools & AI
When I heard that Google had added a new help document to its search developer documentation, I knew I needed to dive in. This new document, “Google Search’s guidance on using third-party SEO tools, services, and advice,” provides updated insights into the world of SEO, especially revolving around the hot topic of generative AI optimization.

Google also revamped its “Do you need an SEO?” guide, adding fresh content around generative AI topics. The intent behind these updates, as stated by Google, is to highlight what to consider when evaluating third-party tools and to simplify existing documentation. They want us to be cautious about trusting these tools and advice without proper verification.

Reading through Google’s new guidance, I found some valuable advice on thoughtfully evaluating third-party SEO services. Here’s how they suggest approaching it:

Evaluate external SEO advice against Google’s official guidelines, think critically about third-party tools, and always verify the claims made by these services.
- Evaluate and verify external SEO advice against official Google guidelines
- Think critically about using third-party SEO tools and services
  - Assisting in sitemap generation
  - Establishing indexing directives
  - Offering to generate “SEO-optimized” content for you
  - Providing advice to improve the ranking of existing content
  - Promising improvements for AI experiences and search formats (“AEO” or “GEO” tools)
While Google doesn’t endorse any third-party tools, they emphasized using Google Search Console for credible data directly from Google Search. We need to be wary of tools claiming to guarantee success since they lack access to Google’s internal ranking data.

With the updated “Do you need an SEO?” document, Google has also covered topics like Optimizing for generative AI. It includes essential reminders that if an SEO uses a third-party tool, one should not assume it’s approved by Google, and during audits, access to Search Console should be limited initially.

In essence, before making any site changes based on third-party audits, it’s crucial to cross-reference their advice with Google’s official resources, especially when it comes to AI optimization strategies.
- If your SEO offers an audit, scrutinize what’s involved and avoid granting write access to Search Console at first.
- Ensure recommendations align with Google’s SEO starter guide and critically evaluate their claims.
- If optimizing for AI, verify alignment with official AI optimization guidance.
Understanding these updates helps us not only in improving our own SEO strategies but also in promoting ethical and effective use of tools.

The document updates come as a reminder for us to regularly check Google’s official documentation. Staying informed about new guidelines ensures that we’re always on the right path in our SEO journey.

Inspired by this post on Search Engine Land.
June 7, 2026
Unlocking AI Success with Google Display Exclusions

When I manage digital marketing campaigns, accidental clicks, bot traffic, and low-quality placements can really muddy the data. That’s why I rely on strategic exclusions to keep my optimization efforts on track.

Let me unpack how Google Display Network (GDN) placement exclusions have evolved from basic account hygiene to vital components in AI-driven optimization strategies.

Traditionally, blocking undesirable placements meant compiling extensive lists of unwanted URLs and mobile app categories. This helped safeguard brand integrity and ensured I wasn’t wasting my budget on traffic that wouldn’t convert.

In the past, ensuring our ads dodged clickbait blogs and mobile games was crucial. GDN exclusions have now taken on a more strategic role, influencing Google’s optimization signals for automated campaigns.

This shift means I can use placement exclusions not just for blocking but as a strategic tool to sidestep low-quality traffic and unreliable conversion signals. Here’s how it works.

In traditional PPC, placement exclusions served dual purposes: they protected brand safety and conserved my advertising budget.

No one wants their brand next to inappropriate or clickbait content. The GDN offers vast inventory, but much of it can be high-click and low-conversion, making exclusions essential.

Even high-profile sites could become budget drains without contributing to conversions. Thus, large exclusion lists and regular audits became routine practices to manage ad placements efficiently.

However, AI has changed how I approach this. With Smart Bidding algorithms like Target CPA and Target ROAS, optimization is more nuanced. Google’s AI actively seeks out the right audiences, and the data-quality matters significantly here.

Without strategic exclusions, AI might gravitate towards cheap, high-volume placements. I’ve seen how accidental clicks and low-quality sites appear promising due to high CTRs but ultimately fail to convert.

Strategic placement exclusions provide guidance, ensuring AI avoids these pitfalls by directing it towards more beneficial data signals.

By refining where the AI can operate, I reintroduce human intent into automated systems, steering campaigns with a strategic hand on the wheel.

For brand awareness, I allow ads on premium sites while excluding lesser-known directories. This ensures visibility on reputable platforms.

Conversely, for direct response campaigns, I block costly broad-reach sites, pushing AI towards niche sites where conversion intent is high.

Blocking unwanted placements early in a campaign prevents unnecessary spending during the AI’s learning phase, allowing for more effective targeting from the get-go.

By excluding malicious bot-heavy sites, I prevent ‘signal poisoning,’ ensuring the AI optimizes based on genuine user interactions.

Advanced tactics involve running automated scripts to routinely exclude budget-draining placements and blocking mobile apps unless explicitly targeted. These strategies keep the AI focused on valuable data, minimizing waste.

Adopting these strategic exclusions enhances campaign performance significantly, transforming basic blocklists into a powerful performance edge.

Inspired by this post on Search Engine Land.

June 3, 2026
Boost Your SEO: Harness Schema Markup for the Agentic Web

I’ve discovered that AI agents heavily rely on structured data to understand and interact with my content. Embracing schema markup is essential to thriving in the emerging agentic web.

Schema markup has become pivotal in SEO and Generative Engine Optimization (GEO) conversations. I learned that both Google and Bing utilize structured data to fuel AI overviews, and platforms like ChatGPT incorporate it for product suggestions.

The evolution towards the agentic web means AI systems interact directly with websites on our behalf. It’s not just about understanding content; they need schema markup to interpret and act on it. This makes it clear why schema is becoming an integral part of the agentic web’s infrastructure.

In the traditional search landscape, schema markup enhances visibility by making my content eligible for search engine results page (SERP) features. It aids search engines in understanding entities better, thereby influencing how results are presented to users.

AI agents go beyond by leveraging schema markup to understand relationships and relevance. They assess if content is actionable enough to be recommended or used for task completion. This knowledge helps them determine if my content is trustworthy.

With structured data, my website becomes easier and cheaper for AI systems to process. Parsing unstructured HTML is more costly compared to clean, structured data, especially as large language models (LLMs) work within finite context windows and escalating inference costs.

Sites that simplify content interpretation are more attractive to AI agents as these systems expand. This simplification becomes critical for ensuring my content is accessed and utilized effectively.

I understand that NLWeb, built on schema markup, plays a vital role in the agentic web’s infrastructure. Microsoft’s open-source initiative, NLWeb, enables websites to integrate AI-powered conversational interfaces, transforming them into AI apps for natural language queries.

Developed by R.V. Guha, NLWeb connects with my existing schema markup, leveraging structured formats like Schema.org. This allows both humans and AI agents to interact seamlessly with the web.

Incorporating structured data like RSS with NLWeb ensures a real-time, interactive experience for AI agents, making my site truly ‘agentic’. The transition from humans browsing to AI agents querying underlines the significance of these initiatives.

For someone like me aiming to optimize for the agentic web, schema markup is a game-changer. It enables my site to be more than just readable, allowing for direct, real-time interactions through NLWeb’s capabilities.

NLWeb uses AI tools to create natural language interfaces, enhancing how my content can be queried and interacted with. It doesn’t require a complete rebuild of my existing content structure, just good order in my schema markup.

By prioritizing completeness, automating processes where possible, and utilizing JSON-LD, I can make steady progress in schema optimization. It’s crucial that I view schema as a comprehensive graph across my site, improving reliability and trust for AI agents.

Ultimately, adopting schema markup and understanding its evolving role in the agentic web is vital. As AI systems evolve, content that aligns with their preferences will reap ongoing benefits.

Inspired by this post on Search Engine Land.

June 1, 2026
Maximize Lead Management with Google Ads’ New AI-Powered Dashboard
I’ve just discovered that Google Ads has introduced a built-in lead management dashboard, which is incredibly useful for advertisers like me who are keen on optimizing lead quality and enhancing bidding performance with AI insights.

Google has integrated lead management directly into Google Ads, which means I can now track, qualify, and manage leads from Google-hosted forms all in one place. This system not only streamlines the process but also feeds higher-quality conversion signals back to Google’s AI bidding technology.

What’s new. I’ve found that Google Ads now features a dedicated lead management interface designed specifically for organizing and acting on leads generated through Google-hosted forms, making my job as an advertiser so much easier.

The dashboard gives me a comprehensive view of lead activities, which include:
- Total leads
- New leads
- Qualified leads
- Lost leads
- Lead status and progression through the funnel
From a single interface, I can also review individual lead records, including contact information and lead stage, making it incredibly efficient to keep up with potential customers.

Why we care. This new feature allows me to sync lead-quality signals directly with Google Ads, which significantly helps Smart Bidding in identifying leads that are more likely to convert into actual customers, rather than merely increasing form submissions.

The dashboard simplifies my workflows by providing a centralized view of lead status, enabling my marketing and sales teams to prioritize high-value prospects and ultimately boost conversion rates.

Key benefits:

Centralized lead management
- Manage Google-hosted form leads all in one place.
- Reduce the risk of losing track of potential customers.
Better AI optimization
- Share lead-quality and conversion signals with Google Ads.
- Help bidding algorithms focus on high-value prospects.
Faster sales cycles
- Identify and prioritize qualified leads faster.
- Move prospects through the funnel more efficiently.
Simplified workflows
- Enjoy a lightweight, integrated CRM experience without having to leave Google Ads.
What to watch. The enhanced reporting features within the dashboard also offer greater insights into sales funnel performance, including numbers of qualified leads and conversion rates.

As Google continues expanding its AI-powered advertising tools, direct access to lead-quality data is becoming increasingly crucial for advertisers like me who aim to enhance lead volume and improve downstream revenue.

Inspired by this post on Search Engine Land.
May 29, 2026

Discover the Leading Pest Control GEO Agencies of 2026

From January through April 2026, my research team and I dove into a detailed analysis of 72 marketing agencies specializing in Generative Engine Optimization (GEO) services for pest control companies. The results were intriguing and insightful.

We evaluated each agency using specific criteria, focusing on key performance aspects:

Average Review Score (30%): We’ve gathered and combined ratings from Google, Clutch, G2, and client testimonials.
Notable Clients (25%): Agencies with a strong portfolio of pest control clients demonstrating industry-specific expertise stood out.
Leadership Experience Score (20%): C-suite experience in GEO, pest control marketing, and digital strategy were critical factors, rated on a 1-5 scale.
Year Founded (15%): Longevity and adaptive capability in a fast-changing digital landscape were important indicators.
Company Size (10%): The capacity to execute comprehensive GEO campaigns was assessed.

Using this comprehensive algorithm, we ranked the agencies based on their composite scores. Below is a table showcasing the top contenders, followed by detailed reviews of each.

The Top Pest Control GEO Agencies of 2026

Rank	Company	Average Review Score	Notable Clients	Leadership Experience Score	Year Founded	Company Size	Specialty
1	First Page Sage	4.9	Terminix, Greenix, Truly Nolen	4.9	2009	100-250	Lead-focused GEO and comprehensive SEO
2	DAGMAR Marketing	4.6	Turner Pest Control, ABC Pest	4.5	2010	51-100	Basic pest control GEO
3	Driven Metrics	4.5	Arrow Exterminating, Orkin	4.5	2025	1-10	Analytics-driven GEO strategies
4	Genevate	4.6	Nozzle Nolen	4.4	2025	11-50	Pure GEO and PR-led authority
5	Focus Digital	4.6	Western Pest Services	4.3	2018	11-50	Budget-conscious GEO and SEO
6	NiftyPest	4.4	Native Pest Management	4.5	2018	11-50	Marketing specifically for pest control companies
7	Altus Marketing	4.8	N/A	4.3	2024	1-10	Small business GEO and SEO
8	Black Propeller	4.8	N/A	4.3	2012	11-50	GEO combined with PPC

First Page Sage

First Page Sage has been a trailblazer in Generative Engine Optimization since 2023, making it the go-to agency for pest control companies ready for a GEO revolution. What sets them apart is their unique focus on measurable outcomes aligned with pest control companies’ KPIs, including revenue and customer acquisition metrics.

With a committed, detail-focused team, First Page Sage assigns a dedicated GEO strategist, project manager, reporting analyst, web developer, and writer to each client. This ensures consistent delivery of key analytics and strategic recommendations amidst evolving AI trends and market dynamics.

Their collaborations with brands like Terminix, Greenix, and Truly Nolen showcase how they build influential GEO strategies, positioning clients as leading authorities that AI platforms frequently recommend for pest control needs.

Average Review Score: 4.9
Notable Clients: Terminix, Greenix, Truly Nolen
Leadership Experience Score: 4.9
Year Founded: 2009
Company Size: 100-250
Specialty: Lead-focused GEO and comprehensive SEO

Summary of Online Reviews

First Page Sage enjoys accolades for “seriously taking organic lead generation” with responsive account managers who deliver “hundreds of new sales leads.” Clients are particularly impressed by their “innovative GEO approach,” making them a “go-to expert” in AI platform solutions.

Inspired by this post on First Page Sage Blog.

May 28, 2026

Unveiling Reddit’s Impact on AI Search Dynamics
I often find myself explaining Reddit’s role in AI search. It’s frequently underestimated, yet its influence extends well beyond training data.

Clients frequently ask how AI training, licensed access, and retrieval systems can affect SEOs and AI strategies, particularly concerning Reddit.

Here are the typical questions I receive:
- Should I engage with Reddit to boost my brand visibility?
- Is advertising on Reddit beneficial if AI uses Reddit for training?
- Our CEO suggests creating a subreddit for each product. Is that wise?
- Why does Google’s AI reference a Reddit thread criticizing my product?
These inquiries often conflate three separate but interrelated concepts:
- Training data.
- Licensed or real-time access.
- Citation and retrieval systems.
Although connected, they serve different purposes. Understanding these distinctions impacts how we approach SEO and AI citations, especially as Reddit increasingly appears in AI-driven results.

Let’s demystify AI training, access, and citation. You might think, “ChatGPT was trained on Reddit,” means every post is directly stored in its memory—an incorrect assumption.

Training AI is akin to education. Kids learn concepts like using the Pythagorean theorem without remembering specific textbook answers. Similarly, AI learns conversational patterns, not individual Reddit posts.

AI doesn’t remember specific threads but discerns key discussion points from Reddit, like consumer preferences on r/RockTumbling.

Reddit partnerships with Google and OpenAI in 2024 enabled a transition from static datasets to ongoing access, allowing AI to stay updated on Reddit dialogs.

If AI training is like schooling, licensed access is a continuous flow of information akin to subscribing to a newspaper.

AI can cite Reddit, not because it’s preferential part of the training, but finds it useful for real-time querying, just like humans might refer to yesterday’s conversation.

Reddit’s prominence in AI results impacts my SEO strategy, yet it’s not only due to formal partnerships. Reddit’s depth in human experiences enhances its informational value.

Reddit offers what many websites lack: practical user insights and diverse opinions. Where official sites provide features, Reddit adds authentic experiences and user narratives.

Rather than mimicking Reddit, I focus on fostering authentic discussion by leveraging user insights from reviews, interviews, or forums, enhancing the context around my content.

I’ve realized that prioritizing nuanced details and showing reasoning can increase credibility, making my content more relatable in subjective decision-making scenarios.

Ultimately, integrating firsthand experiences and transparency can elevate content strategy, aiding systems that synthesize human input into AI insights.

Inspired by this post on Search Engine Land.
May 21, 2026
Master Visual Search AI: Optimize Product Images for Success

Hey there! I’m thrilled to share how we can make our product images work harder for us by optimizing them for visual search AI. Whether it’s through Google Lens, using alt text, or implementing structured data, these strategies are key to ensuring our products are more discoverable and fuel our eCommerce growth.

Imagine our potential customers finding our products just by snapping a photo! It’s amazing, right? With the power of visual search, we can tap into a whole new audience and boost our visibility.

So, let’s delve into the intricacies of visual search AI and uncover how these techniques can propel our products to new heights.

Inspired by this post on HiGoodie Blog.

May 18, 2026
Maximize AI Visibility with Top GEO Tools for 2026

In my journey to optimize AI search visibility, I’ve discovered some of the best tools in Generative Engine Optimization (GEO). These tools not only boost citations in platforms like ChatGPT and Gemini but also guide me in selecting the most effective GEO platform for my needs.

Let me show you how you can measure AI search visibility effectively. It’s all about understanding how your content interacts with these advanced systems and using the right tools to enhance your reach.

Choosing the right GEO platform can be a game-changer. It’s essential to select a system that aligns perfectly with your goals and optimizes your AI-driven content for maximum impact.

Inspired by this post on HiGoodie Blog.

May 18, 2026
Master Google’s Generative AI Optimization: A Step-by-Step Guide

I recently came across Google’s fresh guide on optimizing for its generative AI features, highlighting key tools like AI Mode and AI Overviews. This guide compiles insights from previous Google communications into a comprehensive help document titled Optimizing your website for generative AI features on Google Search.

Inside the Guide: This document delves into multiple essential topics, which include:

– SEO’s continued relevance for AI search, adhering to Google’s SEO best practices.

– Creating valuable, non-commodity content for your audience.

– Offering a unique perspective

– Developing content that is helpful, reliable, and prioritizes users

– Organizing content effectively for reader assistance

– Incorporating high-quality images and videos

– Focusing on user needs, avoiding unnecessary complexity

– Ensuring AI tools comply with Google’s guidelines

– Maintaining a clear, technical site structure:

– Meeting technical search requirements

– Adhering to best practices for web crawling

– Emphasizing human-readable semantic HTML

– Following Google’s guidelines for JavaScript

– Providing an excellent page experience

– Reducing duplicate content

– Focusing on optimizing local business and e-commerce details.

– Dispelling myths around AI optimization:

– No need for LLMS.txt files

– Avoidance of special markup

– Refraining from ‘chunking’ content

– No content rewrites for AI systems required

– Avoid seeking inauthentic mentions

– Not overly focusing on structured data

– Exploring agentic experiences and what steps to take next.

Why It Matters to Me: This guide is a comprehensive resource that summarizes Google’s past advice across various platforms and events. It’s invaluable for understanding how to align my site with Google’s expectations for AI-powered search engines.

You can read the full guide here.

Inspired by this post on Search Engine Land.

May 15, 2026
Exciting Launch: Profound’s Revolutionary Future Unveiled

As I look ahead, I’m thrilled to share what we have in store with our latest product, Profound. Over the coming weeks and months, we are embarking on a journey that represents a much bolder move than anything we’ve previously attempted.

Internally, our team is buzzing with excitement, and we believe it’s time to extend that excitement to you, our valued customers. We’re eager to unveil our vision for the future and how it aligns with your needs.

Inspired by this post on Try Profound Blog.

May 13, 2026