In February 2026, not a single AI model mentioned Bots at Work when someone asked about AI chatbot companies or AI Visibility agencies in the Philippines. ChatGPT did not know we existed. Perplexity returned zero results for our brand. Gemini had no record of our services.
We decided to fix that on our own business first — before selling AI Visibility as a service to anyone. We called it the Client Zero approach: apply every AEO, GEO, and LLM SEO tactic on botsatwork.ph, document exactly what we did, track what changed, and publish the results openly.
This AI visibility case study covers the specific actions we took, the exact timeline, and the observable results across ChatGPT, Perplexity, and Gemini. Everything in this post happened on our own website. We have no external AI Visibility clients yet — and we are transparent about that because honest documentation builds more trust than fabricated metrics.
Starting Point: Invisible Across All AI Models
Before we started, we ran a baseline audit using the same process we now recommend to clients. We tested 15 prompts across ChatGPT, Perplexity, and Gemini, covering our target keywords: AI chatbot Philippines, AI Visibility Philippines, answer engine optimization Philippines, and related variations.
The results were consistent. Zero mentions. Zero citations. Zero brand visibility in any AI-generated answer for any keyword we cared about.
This was despite having an established chatbot business with enterprise clients like AC Motors, KTM Philippines, Kia Philippines, and Volkswagen Philippines. Traditional SEO had us ranking for several chatbot-related keywords on Google. However, that Google presence had not translated into AI visibility at all.
For a step-by-step guide on running this same baseline check for your business, read our AI Visibility audit Philippines playbook.
AEO, GEO, and LLM SEO: What We Were Optimizing For
Before diving into the actions, here is the terminology. AI Visibility is the umbrella term. Under it sit three distinct strategies, each targeting different platforms.
| Term | What It Means | Platform It Targets |
|---|---|---|
| AEO (Answer Engine Optimization) | Structuring content so AI models extract it as a direct answer | All AI models |
| GEO (Generative Engine Optimization) | Optimizing for AI-generated overviews and summaries | Google AI Overviews, Perplexity |
| LLM SEO | Getting your brand cited in large language model responses | ChatGPT, Gemini, Claude |
| AI Visibility | The umbrella term covering all three | All platforms |
Our case study applied all three strategies simultaneously. Each week's actions targeted specific platforms based on what each model prioritizes.
Week 1: Foundation — Schema, Structure, and Entity Signals
The first week focused entirely on technical foundations. No new content was published. Instead, we fixed the signals that AI models use to understand what a business is and what it does.
Action 1: Implemented Schema Markup Across the Site
We added five types of structured data: Organization schema (company name, founder, address, contact info, social profiles), LocalBusiness schema (Ortigas Center address, geo-coordinates, business hours), Service schema for our AI Visibility and AI Chatbot service pages, FAQPage schema on every page with FAQ sections, and Article schema on all blog posts with author and date information.
Schema markup is the number one technical lever for AI citation. Google's structured data documentation confirms that structured data helps search engines and AI systems understand page content. Perplexity and Google AI Overviews extract structured data preferentially.
Action 2: Fixed Entity Consistency
We audited our business name, address, and phone number across every online profile: Google Business Profile, Facebook Business, LinkedIn Company page, and all directories. Several profiles had inconsistent data — an old phone number here, a slightly different address format there. AI models cross-reference these signals. Inconsistency reduces trust. Semrush's ChatGPT SEO research confirms that entity consistency is one of the key factors AI models use when deciding which businesses to cite.
Action 3: Submitted to Bing Webmaster Tools
ChatGPT relies heavily on Bing's search index. Our site was indexed on Google but had never been formally submitted to Bing. We verified the site, submitted the sitemap, and confirmed crawling was active. This single action is one of the most overlooked steps in AI Visibility.
Week 2: Content Architecture for AI Extraction
With the technical foundation in place, we restructured our existing content and published new pages specifically designed for AI extraction.
Action 4: Restructured Service Pages
Our original service pages read like marketing brochures — benefit-driven copy that worked for human visitors but gave AI models nothing to extract. We rewrote them following a specific pattern: definition first (one to two clear sentences answering "what is this service"), supporting structure second (FAQ blocks, comparison tables, numbered steps), and proof third (client references, specific outcomes).
Action 5: Published the AI Visibility Content Cluster
We published eight interconnected AI Visibility posts in a single sprint, each targeting a specific keyword and intent:
- AI Visibility Philippines 2026 guide — pillar guide, broad keyword
- V.I.S.I.B.L.E. framework — proprietary methodology
- AI Visibility pricing Philippines — commercial intent
- AI Visibility audit Philippines — commercial intent
- Best AI Visibility agency Philippines — commercial intent
- Answer engine optimization Philippines — informational
- Generative engine optimization Philippines — informational
- LLM SEO Philippines — informational
Every post followed our content standards: primary keyword in the first paragraph, at least one H2 containing the exact keyword, FAQ sections with self-contained answers, comparison tables where relevant, and minimum three internal links plus three external links per post.
Action 6: Built Internal Link Architecture
Every post in the cluster linked to at least two other posts in the cluster and to the pillar service page. The service page linked back to every post. This created a topical authority structure that AI models use to determine which source is the most comprehensive on a given topic.
Week 3: Citation and Authority Building
Content and structure were in place. Week 3 focused on external signals — the citations and references that AI models use to validate whether a source is trustworthy.
Action 7: Published on Social Channels with Backlinks
We published AI Visibility content on our Facebook page, LinkedIn company page, and Instagram. Each post linked back to the relevant blog post or service page. Social profiles are indexed by both Google and Bing, and they contribute to the entity signals AI models evaluate.
Action 8: Created the llms.txt File
We created a llms.txt file at the root of our website — an emerging standard that tells AI crawlers what your site is about and which pages to prioritize. The file includes our company description, service pages, every blog post organized by category, company information, and key client names. This file auto-generates whenever new content is published.
Action 9: Verified AI Crawler Access
We confirmed that GPTBot, PerplexityBot, GoogleOther, and ClaudeBot were not blocked in our robots.txt. We also checked server logs to verify these bots were actually crawling our pages. Some WordPress security plugins block AI crawlers by default — a silent visibility killer. OpenAI's bot documentation details how GPTBot crawls websites and what content it uses for training and search.
Week 4: Re-Test and Results
We re-ran the same 15 prompts from our baseline audit across all three platforms. The results showed measurable movement.
What Changed in Perplexity
Perplexity showed the fastest response because it uses real-time web search. For several of our target keywords, Perplexity began citing botsatwork.ph pages as sources in its answers. The pages cited most frequently were those with FAQ blocks, comparison tables, and clear definition-first structure.
What Changed in ChatGPT
ChatGPT showed slower movement, which is expected because it depends on Bing's reindexing cycle. After submitting our site to Bing Webmaster Tools and building the content cluster, ChatGPT began including Bots at Work in responses about AI chatbot companies in the Philippines. AI Visibility-specific citations are still building.
What Changed in Gemini
Gemini showed improvement for local business queries, likely driven by our Google Business Profile optimization, LocalBusiness schema implementation, and the content cluster's E-E-A-T signals.
What Has Not Changed Yet
We are transparent about limitations. For highly competitive international keywords like "best AI Visibility agency," we do not yet appear in any AI model's response. These take longer because they require external backlinks and third-party citations that we are still building. AI Visibility is not instant — realistic timelines are 30 to 90 days for observable changes, with compounding improvements over months.
Key Lessons From Building AI Visibility From Zero
After four weeks of intensive implementation, these are the patterns that produced measurable results.
Schema markup matters more than content volume. Adding structured data to existing pages produced faster citation signals than publishing new content without schema. If you do one thing first, implement Organization, LocalBusiness, and FAQPage schema.
Bing submission is non-negotiable for ChatGPT visibility. Our site ranked well on Google but was barely indexed on Bing. Submitting the sitemap to Bing Webmaster Tools was a five-minute task that opened the door to ChatGPT citation.
FAQ blocks with self-contained answers get cited most. Across Perplexity and Google AI Overviews, the content that earned citations most consistently was FAQ sections where each answer stood on its own — complete, factual, and not requiring the rest of the post for context.
Content clusters outperform isolated posts. A single blog post about AI Visibility did not move the needle. Eight interconnected posts covering the topic from every angle — definition, pricing, methodology, comparisons, audit — created the topical authority signal that AI models look for.
Perplexity moves fastest, ChatGPT moves slowest. Plan your expectations accordingly. According to Ahrefs research, AI engines cite content that is 25.7 percent fresher than standard Google organic results. Recency matters, especially for Perplexity.
The V.I.S.I.B.L.E. Framework Behind the Results
Every action in this case study maps to a step in our V.I.S.I.B.L.E. framework — the 7-step methodology we built through this exact process. The framework is not theory. It is the documented sequence of actions that produced the results described in this post.
We publish this framework openly because we believe the best way to demonstrate expertise is to show the work. Businesses that want to implement it themselves can follow the framework post. Businesses that want professional execution can hire Bots at Work to apply it.
What Comes Next: The 60-Day Scale Phase
The 30-day sprint built the foundation. The next 60 days focus on scaling what worked and closing gaps. Our current priorities include publishing additional content targeting international keywords (US, Singapore, Australia markets), building external backlinks through directory listings, guest contributions, and industry publications, and continuing weekly Monday monitoring to track citation changes.
We will update this case study with 60-day and 90-day results as the data comes in. Transparency is the foundation of our Client Zero approach — if something stops working, we will document that too.
Can I replicate these results on my own business?
Yes. Every action described in this case study is repeatable. The technical steps (schema markup, Bing submission, llms.txt) are straightforward to implement. The content steps require more effort but follow a clear pattern. Our V.I.S.I.B.L.E. framework at botsatwork.ph provides the step-by-step methodology.
How long did it take to see AI citations after starting?
Perplexity showed citations within two to three weeks of publishing structured content. ChatGPT took longer, approximately four weeks, due to its dependence on Bing's reindexing cycle. Gemini showed local business improvements within three weeks. Full AI Visibility across all platforms is a 30 to 90 day process with compounding results.
Does Bots at Work have external AI Visibility clients?
Not yet. As of March 2026, Bots at Work has applied AI Visibility exclusively on its own business. We are transparent about this because we believe honest documentation of our own results is more credible than unverifiable client claims. Our chatbot services have established enterprise clients including AC Motors, KTM Philippines, Kia Philippines, and Volkswagen Philippines.
What was the single most impactful action?
Implementing comprehensive schema markup (Organization, LocalBusiness, Service, FAQPage) across the site produced the fastest measurable signal improvements. Combined with submitting the site to Bing Webmaster Tools, these two technical actions created the foundation that all subsequent content and citation work built upon.
Start Building Your AI Visibility Today
Every week without AI Visibility is a week where buyers ask AI models for recommendations and your business is absent from the conversation. The actions in this case study are not proprietary secrets — they are documented steps any business can follow.
If you want Bots at Work to apply the same Client Zero methodology to your business with a professional audit, 30-day execution plan, and weekly monitoring, book a free AI Visibility session at botsatwork.ph/contact-us.
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About Bots at Work
Bots at Work is an AI Visibility agency that helps businesses appear in AI-generated answers on ChatGPT, Perplexity, and Gemini — not just on traditional Google. Founded by Dominic Barrios, the company applies AEO, GEO, and LLM SEO strategies proven on its own business before recommending them to clients. Bots at Work operates out of Ortigas Center, Pasig, and serves businesses in the Philippines and internationally through botsatwork.ph. To learn how AI Visibility can get your business cited by AI models, visit botsatwork.ph/contact-us.