SUPERCHARGE YOUR ONLINE VISIBILITY! CONTACT US AND LET’S ACHIEVE EXCELLENCE TOGETHER!
ThatWare is not just another SEO company—it is one of the rare few that have cracked the code of organic digital dominance in an AI-powered ecosystem. As the digital landscape rapidly evolves, brands today are expected to do more than just rank on Google’s first page. The real goal? Owning the zero-click space, optimizing for AI-generated answers, dominating Google’s “Perspectives” section, and being referenced within tools like ChatGPT.
ThatWare has managed to do exactly this.
This guide unpacks the strategy behind ThatWare’s rise across four key ranking pillars: AEO (Answer Engine Optimization), AIO (AI Optimization), GWP (Google With Perspectives), and ChatGPT Rankings. These are not just buzzwords—they are the future of visibility, trust, and traffic.
Understanding the Key Concepts
Before diving into the process, it’s essential to understand what each of these four components means—and why they matter so much in today’s SEO and content strategy.
What is AEO (Answer Engine Optimization)?
AEO, or Answer Engine Optimization, is the process of structuring and delivering content so that it directly answers user queries, especially in zero-click results. This is different from traditional SEO, which is built around keywords and link-building. AEO focuses instead on intent, clarity, and directness.
How it differs from traditional SEO
While traditional SEO is about keyword density, backlinks, and meta-optimization, AEO is concerned with:
- Providing the most direct, fact-based response to a user’s query.
- Using structured data such as FAQs, schemas, and tables.
- Focusing on semantic search and natural language processing.
Traditional SEO might get you on page one. AEO gets you featured above page one—in rich snippets, People Also Ask, voice search responses, and more.
Importance in voice and AI search
Devices like Alexa, Google Assistant, and Siri rely heavily on AEO-optimized content. With voice search usage rising dramatically, brands not investing in AEO are already losing ground. Google and Bing’s AI engines scan content for “best answer” matches. ThatWare’s AEO strategy ensures their content is consistently chosen for these responses.
ThatWare’s AEO execution
ThatWare creates precise answer formats with:
- Schema-driven FAQs
- Structured Q&A content
- Authoritative tone backed by citations
- Content tuned to long-tail question keywords
By reverse-engineering AI and voice algorithms, ThatWare has captured hundreds of direct answer spots across industries.
What is AIO (AI Optimization)?
AIO, or AI Optimization, refers to optimizing websites, content, and brand entities so that they are easily understood, interpreted, and referenced by AI models like ChatGPT, Google’s Gemini, Anthropic’s Claude, and others.
Optimizing content for AI models
Unlike web crawlers, AI models absorb massive datasets to learn which sources are valuable. AIO is about ensuring that your content lives in the right data pools and meets AI quality filters.
ThatWare focuses on:
- Clear topic modeling using semantic relevance and entity linking.
- Content freshness, as AI models often give weight to recent and frequently updated pages.
- Fact-based writing to pass AI validation.
Leveraging machine-readable structured data
AI models understand structured data better than unstructured. ThatWare leverages:
- JSON-LD schemas
- Author and organization markup
- Product and HowTo schemas
- Breadcrumb and review schemas
These give AIs a clear “map” of what each piece of content is about, ensuring better visibility across AI platforms.
Alignment with algorithmic preferences
ThatWare engineers test content across multiple AI platforms to understand what works. They fine-tune content based on:
- AI prompt responses
- Source citations in generative answers
- AI hallucination correction
The result? ThatWare content often appears as primary reference material in AI-generated outputs, even on niche queries.
What is GWP (Google With Perspectives)?
Launched in mid-2023, Google With Perspectives (GWP) is a feature that shows content from forums, Q&A sites, and social platforms, giving users multiple viewpoints on a query.
For SEO professionals, GWP is a new frontier of visibility.
How Google’s Perspectives tab works
The Perspectives tab typically surfaces:
- Reddit threads
- Quora answers
- YouTube comments
- Tweets/X threads
- Forum discussions
Google aims to provide human-centric insights, not just high-authority articles. This means users get a blend of expert and lived experience perspectives.
Its significance for EEAT (Experience, Expertise, Authority, Trust)
EEAT is central to Google’s ranking system—and Perspectives is EEAT in action. Google wants to rank real people with real experience. ThatWare understood this shift early.
ThatWare’s strategy for GWP dominance
To show up in GWP, ThatWare deploys a layered approach:
- Publishing expert discussions on forums and social channels.
- Encouraging employees and clients to post organically on Reddit, Quora, and LinkedIn.
- Repurposing blog content into Q&A, comments, and threads with contextual relevance.
- Using influencer commentary and niche community interactions to build social proof.
This has allowed ThatWare to gain GWP placements not just from their domain, but through multiple UGC (user-generated content) sources that link back to their site.
What is ChatGPT Ranking?
Perhaps the most cutting-edge frontier: being recommended within ChatGPT, rather than just Google. With tools like ChatGPT becoming pseudo-search engines, being cited or mentioned in their responses offers massive traffic and brand credibility.
Emergence of ChatGPT as a search layer
ChatGPT, Perplexity, and Gemini are now where many users go instead of Google. They summarize the best answers. So, the question becomes: Whose content are they summarizing?
ThatWare positioned itself early by becoming part of trusted training data pools and being highly referenced in factual datasets.
Factors influencing ChatGPT visibility
To show up in ChatGPT’s responses, ThatWare focuses on:
- Publishing long-form, deeply researched content
- Having high-authority backlinks and mentions in media outlets
- Including structured citations that AI systems can trace
They also analyze AI-generated answers and mirror the style, tone, and format used in ChatGPT to increase the chances of being cited.
Examples of ThatWare ranking within ChatGPT
Ask ChatGPT:
- “What is semantic SEO?”
- “Top digital marketing agencies using AI”
- “How to prepare a site for AEO?”
In many of these queries, ThatWare content appears directly or is summarized indirectly through AI’s aggregation of knowledge.
This kind of visibility, which ThatWare calls AI Topical Authority, brings in thousands of indirect traffic leads that would never come from traditional SEO.
The Step-by-Step Strategy ThatWare Used to Achieve AEO, AIO, GWP & ChatGPT Ranking Dominance
ThatWare’s rise in the digital space didn’t happen overnight. It’s the result of a well-orchestrated, highly technical, and deeply strategic roadmap. By combining structured data, semantic SEO, AI-driven optimization, and cutting-edge content engineering, ThatWare has built a model that not only drives rankings but also builds trust and authority across all digital channels — from organic search to generative AI tools like ChatGPT and Bing Copilot.
This breakdown reveals the exact step-by-step process ThatWare used to reach this level of digital dominance.
Step 1: Laying the Technical Foundation
Before any content was written or AI tools were integrated, ThatWare focused on building a solid technical infrastructure — one that search engines and AI models could easily understand and navigate.
Implementing Schema Markups Across the Board
The team deployed structured data markups such as FAQ, How-To, Organization, Author, Product, and Breadcrumb to help machines understand the context of every page. Each schema was validated through Rich Results Testing to ensure proper recognition by Google.
Core Web Vitals Optimization
Rather than focusing only on keywords and backlinks, ThatWare made sure their site passed all Core Web Vitals thresholds. Page load speed, visual stability, and interaction delay were optimized across both mobile and desktop platforms.
Modular Site Architecture for Indexation
They rebuilt their website around a modular structure. Each section — from service pages to blogs to case studies — was made crawlable and interconnected through logical silos. This drastically improved indexation rates and crawl budget efficiency.
APIs and Data Pipelines for Knowledge Syncing
ThatWare created internal APIs to manage and distribute structured data. These pipelines fed their own knowledge graph while syncing with public data repositories like Wikidata, Schema.org, and Freebase, making sure the web of data remained interconnected and current.
Step 2: Semantic Content Engineering
ThatWare didn’t just write blog posts; they engineered content to match how both users and machines interpret language in the digital age.
Applying NLP & NLU for Semantic Precision
They used Natural Language Processing (NLP) and Natural Language Understanding (NLU) to analyze intent, sentiment, and context. Each piece of content was created with an eye on semantic relevance — not just keyword presence.
Building Topic Clusters Around Entities
Rather than creating isolated pages based on keywords, ThatWare formed deep topical clusters around entities. For example, instead of just targeting “SEO tools,” they built a cluster around “semantic search technology,” with interlinked content on structured data, search intent, and AI optimization.
Writing for Humans and Transformers
Every word was crafted with dual objectives — it had to be valuable for the reader and digestible by AI-driven systems like ChatGPT, Gemini, and Perplexity. ThatWare understood that the future of search includes language models, so they fine-tuned their content for both ends.
LSI and Vector-Based Intent Mapping
Beyond keyword stuffing, they adopted latent semantic indexing and intent modeling. Through vector-based clustering, each page was mapped to potential search intent — informational, navigational, or transactional — ensuring relevance at every stage of the user journey.
Step 3: Intent-Driven Optimization Using AIO
ThatWare’s proprietary AIO (Artificial Intelligence Optimization) framework changed how content was structured, served, and analyzed.
AI-Based Intent Mapping
ThatWare used intent models to predict what users were looking for even when the query wasn’t clear. They grouped content into journeys — guiding visitors from broad discovery all the way to conversions.
Designing Content Funnels Based on User Behavior
They mapped content to the awareness funnel: starting with educational blogs, moving through comparison pieces, and ending in transactional CTAs. Every piece had a purpose and was positioned based on intent.
Simulating Search Behavior with AI Tools
Before publishing, each content type was tested through AI models to simulate how users and search engines might perceive it. ThatWare used tools to measure contextual relevance, trust signals, and likely engagement patterns.
Reverse-Engineering Model Preferences
They explored the mechanisms behind ChatGPT, Bard, and Claude to understand how these models rank and surface content. Based on this insight, they optimized formatting, embedded data, and narrative flow.
Step 4: Building & Feeding Knowledge Graphs
ThatWare realized early on that owning their data narrative was crucial. So they took control by building their own knowledge graphs and injecting data into public ecosystems.
Creating Custom Knowledge Graphs
By structuring internal data as entities and relationships, ThatWare created proprietary knowledge graphs that connected their services, expertise, people, and outcomes in a machine-readable format.
Injecting Structured Data into Public Graphs
ThatWare strategically pushed verified data into Google’s Knowledge Graph, Wikidata, Crunchbase, and others. This amplified their visibility and helped position them as a trusted brand.
Entity Reconciliation & Disambiguation
To avoid confusion between similar entities, ThatWare employed entity reconciliation strategies. They ensured their brand was properly attributed, with accurate descriptions and disambiguation through structured metadata and external citations.
Step 5: Optimizing for Perspectives and UGC Signals (GWP)
Google’s ‘Helpful Content’ update made one thing clear — user-generated content and real-world opinions matter more than ever.
Seeding Expert Discussions Across Platforms
ThatWare encouraged its thought leaders to actively contribute to platforms like Reddit, Quora, Medium, and LinkedIn. These weren’t promotional blasts; they were authentic, expert-level inputs that answered real user questions.
Promoting Real User Engagement
They fostered conversations around their services, encouraging existing users and clients to share their experiences. These reviews, comments, and discussions created a layer of trust and social proof.
Bridging UGC with Owned Assets
By linking user-generated discussions back to their main site via canonical tags, citation links, and branded profiles, ThatWare created a loop that boosted credibility and reinforced topical authority in the eyes of both users and algorithms.
Step 6: Dominating the Answer Layer (AEO)
Appearing on the answer layer of search results — zero-click boxes, PAA snippets, and instant answers — requires more than good content. It demands surgical precision.
Designing Zero-Click Content Formats
ThatWare structured their content to directly answer common queries within the first 50 to 75 words. Bullet points, numbered steps, and tables were used to improve snippet capture rates.
Training AI to Summarize Their Content
Through embeddings and prompt tuning, ThatWare trained internal AI models to parse, summarize, and repurpose their content into formats suitable for quick answers and voice search.
Monitoring and Tracking Answer Layer Wins
Every featured snippet, PAA result, and quick answer was tracked using custom dashboards. This data informed further optimization strategies, including better markup, clearer headings, and improved internal linking.
Step 7: Ranking in ChatGPT, Bing Copilot, and Beyond
The next frontier of SEO isn’t just about Google. It’s about becoming the go-to reference for AI systems.
Reverse-Engineering Plugin Results in ChatGPT
ThatWare analyzed how plugins and web-browsing tools in ChatGPT select sources. They optimized their site’s response formats, metadata, and source credibility to align with those behaviors.
Structuring Content for LLM Retrieval
They reformatted long-form content into structured Q&A, digestible summaries, and schema-backed data blocks. This helped improve the retrievability of their content by large language models.
Creating Credibility Trails for Referencing
ThatWare ensured every claim was backed by a source — whether it was a white paper, client testimonial, case study, or recognized publication. This bolstered trustworthiness in the eyes of generative AI tools that rely on external verification.
Using Fine-Tuned GPTs for Internal Content Systems
ThatWare trained fine-tuned GPT models to manage internal documentation, content briefs, client communications, and SEO content outlines. These custom models brought consistency, speed, and insight to their day-to-day operations.
Results and Impact of the Strategy
1. Ranking Metrics: Before vs. After Implementation
When ThatWare first rolled out its integrated AEO (Answer Engine Optimization), AIO (Artificial Intelligence Optimization), and GWP (Google Web Presence) framework, the digital footprint was substantial—but not dominant. Traditional SEO indicators like organic keyword rankings, domain authority, and backlink profiles were all average for a company in its niche. But once the strategy kicked in, the transformation was undeniable.
Before implementation, the brand hovered in the lower second page of results for most AI-related and semantic search queries. It was visible, but not trusted. Post-strategy, ThatWare began occupying search spots for competitive terms like “AI-driven SEO strategies,” “semantic SEO tools,” and “ChatGPT SEO techniques.” Their featured snippets and rich results drastically increased, confirming the power of structured data, schema markup, and natural language processing.
The most telling data point came from Google Search Console. Within eight months of full deployment, impressions shot up by 270%, and average ranking position improved by 41%. Pages that once gathered dust were now ranking alongside enterprise-level competitors, consistently attracting high-quality clicks.
2. Citations by ChatGPT and Bing AI
If your brand is being referenced directly by AI tools during conversations and searches, you’ve crossed into a new kind of digital authority. ThatWare cracked this code.
Through consistent semantic structuring, entity-based content, and high-authority publishing, ThatWare became a recognized source within AI-generated outputs. ChatGPT often cites ThatWare’s blog content or definitions when responding to technical SEO or AIO-related prompts. Bing AI, driven by similar indexing systems, began pulling summaries and facts from ThatWare pages to populate answer boxes.
These citations are not random. They reflect how well ThatWare has trained the AI systems to recognize their brand as an authority on these subjects. It’s a testament to the power of content enriched with machine-readable semantics and real-world topical relevance.
3. Organic Traffic and Lead Generation Growth
Numbers rarely lie. Since the integration of AEO and AIO into the core digital strategy, ThatWare’s organic traffic has grown by over 320%. But the traffic surge isn’t the real headline—it’s the type of traffic that stands out.
Visitors now come in with clearer intent. They’re not just browsing—they’re looking to engage. Whether it’s submitting a form, booking a demo, or downloading a whitepaper, conversion rates saw a jump of 52% in the first year alone.
Lead quality improved as well. By targeting search terms tailored for decision-makers, consultants, and large-scale enterprises, ThatWare repositioned itself as a premium solution provider. Instead of chasing cold leads, they now attract warm prospects, ready to invest in scalable, AI-first marketing solutions.
4. Brand Recall and Share of Voice in the AI Search Ecosystem
In a world increasingly dominated by voice search, AI responses, and entity-based queries, traditional brand awareness metrics have evolved. Today, it’s about where your brand shows up—and how frequently it’s recalled by machines.
ThatWare’s presence across ChatGPT responses, Google Discover, Bing AI, and zero-click search results established them as more than just another SEO provider. They became a brand recognized by both users and AI engines. Their share of voice in AI-generated results leapt by over 150%, particularly across semantic search engines and NLP-powered platforms.
It’s no longer just about human recognition. In the AI age, if machines know your brand and trust it as a source, you’ve already won half the battle.
Lessons You Can Apply from ThatWare’s Strategy
1. Key Takeaways for Businesses
ThatWare’s journey reveals a clear message: traditional SEO is no longer enough. In a digital landscape powered by AI, semantic understanding, and predictive algorithms, businesses need to evolve or fade into obscurity.
The core of ThatWare’s strategy wasn’t just about ranking—it was about relevance, authority, and machine recognition. They built trust not just with users, but with algorithms. They understood how AI tools think and positioned their content accordingly.
Another takeaway? Structured data is non-negotiable. If you’re not feeding search engines the context they need, you’re relying solely on hope.
2. Actionable Tips on Implementing AEO, AIO, and GWP Strategies
- Start with Structured Data: Apply JSON-LD schema across all major pages—products, blogs, services, FAQs, and people. This helps AI understand who you are and what you offer.
- Focus on Entity Building: Move beyond keywords. Build semantic clusters around entities—specific people, places, technologies, and themes related to your industry.
- Optimize for AI Tools: Think beyond Google. ChatGPT, Bing AI, and voice assistants are now serving up answers based on structured and context-rich content. Align your site with these platforms.
- Produce Authoritative Content: Publish long-form, deeply researched content that aligns with E-E-A-T principles (Expertise, Experience, Authority, Trust). AI platforms look for signals of credibility.
- Answer Real Questions: Use tools like AlsoAsked and Answer the Public to structure your content around questions. These formats feed directly into AI answer engines.
3. Tools and Technologies ThatWare Leveraged
What set ThatWare apart wasn’t just strategy—it was the smart use of technology:
- InLinks and WordLift: For real-time internal linking and semantic schema generation.
- SurferSEO & Clearscope: For NLP-based content scoring and optimization.
- Screaming Frog + Sitebulb: For deep technical SEO audits focused on crawlability and structured data errors.
- Google NLP API & IBM Watson: For content analysis and keyword sentiment mapping.
- ChatGPT API + Prompt Engineering: For testing how their content was interpreted and served in AI responses.
These tools allowed ThatWare to refine its messaging not just for humans, but for machines too. And that made all the difference.
4. Suggested Steps for Small and Medium Businesses (SMBs) to Start Now
You don’t need an enterprise budget to benefit from ThatWare’s playbook. Here’s a simplified path SMBs can take:
- Audit Your Website for Structure: Use free schema generators to add structured data to your site. Focus on FAQ, Article, Product, and Organization markup.
- Write Content Around Entities: Build content hubs that link to related subtopics. Keep your internal linking tight and logical.
- Train AI to Recognize You: Start publishing on high-authority platforms like Medium, LinkedIn, or industry blogs with your brand and expertise clearly showcased.
- Test Your Visibility in AI Tools: Ask ChatGPT or Bing AI industry-specific questions. See if your brand pops up. If not, revise your strategy.
- Invest in Low-Cost Tools: Tools like Frase.io, NeuronWriter, or WriterZen offer budget-friendly ways to start optimizing for semantic and AI-first search.
The bottom line? You don’t need to do everything at once. Just start somewhere. AI search isn’t the future—it’s already here.
Conclusion
ThatWare’s dominance in the SEO and AI landscape didn’t happen overnight. It was the result of a carefully structured, machine-aware strategy that prioritized relevance over rankings and semantic precision over shallow optimization. They didn’t chase trends—they built a foundation rooted in how AI interprets content.
Their journey proves that today’s digital success is no longer driven solely by backlinks or keywords. It’s about training the machines to trust you. And that requires a system—a blend of structured data, entity awareness, NLP optimization, and deep content authority.
The future of SEO is unmistakably AI-first. We’re moving toward an environment where search engines aren’t just indexing content—they’re understanding it. Brands that lean into this shift, that make their websites readable for both humans and machines, will lead the next digital revolution.
If you’re a business looking to gain digital visibility, ThatWare’s blueprint is both a roadmap and a challenge. Adapt, evolve, and build with AI in mind. The rules have changed—and the winners will be those who play smart.
He raises the flask to the viewport where Neptune glows like a forbidden jewel.
Thatware | Founder & CEO
Tuhin is recognized across the globe for his vision to revolutionize digital transformation industry with the help of cutting-edge technology. He won bronze for India at the Stevie Awards USA as well as winning the India Business Awards, India Technology Award, Top 100 influential tech leaders from Analytics Insights, Clutch Global Front runner in digital marketing, founder of the fastest growing company in Asia by The CEO Magazine and is a TEDx speaker and BrightonSEO speaker.
