Introduction
Sometime in late 2025, I noticed something weird. I'd search for something technical say, "how to parse resumes with Python" and Google would give me a synthesized answer box instead of the usual 10 blue links.
That's the AI Overview. And it's everywhere now.
The search landscape has fundamentally changed. We're no longer optimizing for 10 blue links we're optimizing for:
- Google AI Overviews
- ChatGPT citations
- Gemini responses
- Perplexity answers
- Claude-based RAG systems
Traditional metrics like keyword density and backlink counts tell only half the story. To win in this environment, you need Generative Engine Optimization (GEO) the practice of making your content visible, authoritative, and citable by AI systems.
But here's the challenge: AI systems are black boxes. How do you optimize content for something you can't see?
What Is a GEO Recommendation Engine?
A GEO Recommendation Engine is an AI-powered decision engine that analyzes how your content appears in AI-driven search experiences and generates prioritized, actionable recommendations to improve the likelihood that your content is understood, trusted, and cited by generative AI systems.
Think of it as the AI-era equivalent of an SEO recommendation engine.
- Traditional SEO Recommendation Engine: "Add this keyword, improve your title tag, fix broken links."
- GEO Recommendation Engine: "Your article is missing the entities, concepts, FAQs, and trust signals that AI systems use when generating answers."
Why TalorData Search Intelligence?
TalorData provides raw SERP intelligence that reveals exactly what AI-powered search engines are looking at. Unlike traditional rank trackers, TalorData gives you:
- Structured knowledge graph entities
- People Also Ask questions with snippet text
- Related Searches with user intent signals
- AI Overview coverage indicators
- Organic result positioning and sitelinks
- Local business signals and GBP post data
This data is the training ground for building a GEO recommendation engine.
I started with TalorData because their JSON is clean and their API rate limits are generous.
TalorData SERP Response
{
"organic": [
{
"about_this_result": {
"languages": [
"en"
],
"regions": [
"US"
],
"source": {
"description": "2 days ago—TalorDataprovides a multi-engine SERP APIfor Google, Bing, Yandex, and DuckDuckGo, helping teams collect structured search data for AI ...",
"icon": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAMAAABF0y+mAAAAS1BMVEUcHR8AAAAJCw4VFhjY2NmGh4hJSkvd3d3k5ORTVFX///+cnZ329/dfYGEREhXExMR4eXlCQ0S8vLzKysoWFxmPkJAAAwmVlZbs7OzEGhVDAAAAXklEQVR4AeXLBQ6AQBAEwV3c4fz+/1HcJYZDxaczcB80TBwxJ82yHcvtef64YhD6UTCIk2NimhGauuUcpSXmcBjXhCOK8uxihcOcVFU0ofLv6G1EQ+gosjhsVCzBkxUHhgfSc251agAAAABJRU5ErkJggg==",
"source_info_link": "https://www.talordata.com/"
}
},
"date": "2 days ago",
"description": "2 days ago—TalorDataprovides a multi-engine SERP APIfor Google, Bing, Yandex, and DuckDuckGo, helping teams collect structured search data for AI ...",
"display_link": "https://www.talordata.com",
"favicon": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAMAAABF0y+mAAAAS1BMVEUcHR8AAAAJCw4VFhjY2NmGh4hJSkvd3d3k5ORTVFX///+cnZ329/dfYGEREhXExMR4eXlCQ0S8vLzKysoWFxmPkJAAAwmVlZbs7OzEGhVDAAAAXklEQVR4AeXLBQ6AQBAEwV3c4fz+/1HcJYZDxaczcB80TBwxJ82yHcvtef64YhD6UTCIk2NimhGauuUcpSXmcBjXhCOK8uxihcOcVFU0ofLv6G1EQ+gosjhsVCzBkxUHhgfSc251agAAAABJRU5ErkJggg==",
"link": "https://www.talordata.com/",
"position": 1,
"redirect_link": "https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://www.talordata.com/&ved=2ahUKEwjMu7Op66OVAxXxqJUCHSuCInQQFnoECBkQAQ",
"snippet_highlighted_words": [
"provides a multi-engine SERP API"
],
"source": "talordata.com",
"title": "TalorData SERP API | Google SERP API and Search Data API"
},
{
"about_this_result": {
"languages": [
"en"
],
"regions": [
"US"
],
"source": {
"description": "Talordata.com is a proxy service provider thatoffers reliable and secure access to the internetthrough a wide range of IP solutions.",
"icon": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAh0lEQVR4AWP4//8/RXgwGMBgzA/EU4H4DBA/B+JPQPwfB/4EVXMGqocfZMAMkCSZeCrIgKsUGHAFZMAXrJIZbf//u+cQMuATA07JCcv+g8H2o///a4bgNASvAXDw4+f//xYJWNVR7AKKw4AqsTCdknQAS4nTgPgsEL8glBKhas5A9fAPfGYCADVteZOv2+CaAAAAAElFTkSuQmCC",
"source_info_link": "https://www.youtube.com/watch?v=u3OmDZbin_s"
}
},
"description": "Talordata.com is a proxy service provider thatoffers reliable and secure access to the internetthrough a wide range of IP solutions.",
"display_link": "10.5K+ views · 2 months ago",
"duration": "6:56",
"favicon": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAh0lEQVR4AWP4//8/RXgwGMBgzA/EU4H4DBA/B+JPQPwfB/4EVXMGqocfZMAMkCSZeCrIgKsUGHAFZMAXrJIZbf//u+cQMuATA07JCcv+g8H2o///a4bgNASvAXDw4+f//xYJWNVR7AKKw4AqsTCdknQAS4nTgPgsEL8glBKhas5A9fAPfGYCADVteZOv2+CaAAAAAElFTkSuQmCC",
"link": "https://www.youtube.com/watch?v=u3OmDZbin_s",
"position": 2,
"redirect_link": "https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://www.youtube.com/watch%3Fv%3Du3OmDZbin_s&ved=2ahUKEwjMu7Op66OVAxXxqJUCHSuCInQQtwJ6BAgPEAI",
"snippet_highlighted_words": [
"offers reliable and secure access to the internet"
],
"source": "YouTube · CRYPTO PLAY NFT'S",
"thumbnail": 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"title": "TalorData is the Best Proxy Provider?",
"video_link": "https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcTmewC79VibZDq8QLQAveValbl_mnDZ3w99fw"
},
{
"about_this_result": {
"languages": [
"en"
],
"regions": [
"US"
],
"source": {
"description": "May 12, 2026—TalorData providesreal-time SERP data APIscovering major search engines such as Google Search, Bing, Yandex, and DuckDuckGo, ...Read more",
"icon": "data:image/png;base64,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",
"source_info_link": "https://www.bitbrowser.net/partner/talordata"
}
},
"date": "May 12, 2026",
"description": "May 12, 2026—TalorData providesreal-time SERP data APIscovering major search engines such as Google Search, Bing, Yandex, and DuckDuckGo, ...Read more",
"display_link": "https://www.bitbrowser.net› partner › talordata",
"favicon": "data:image/png;base64,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",
"link": "https://www.bitbrowser.net/partner/talordata",
"position": 3,
"redirect_link": "https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://www.bitbrowser.net/partner/talordata&ved=2ahUKEwjMu7Op66OVAxXxqJUCHSuCInQQFnoECCIQAQ",
"snippet_highlighted_words": [
"real-time SERP data APIs"
],
"source": "BitBrowser",
"title": "TalorData"
},
{
"about_this_result": {
"languages": [
"en"
],
"regions": [
"US"
],
"source": {
"description": "May 12, 2026—TalorDataprovides genuine residential bandwidth, prioritizing proxy connection speed and availability. With an average response time of less ...Read more",
"icon": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAMAAABF0y+mAAAAQlBMVEVHcEyoNdKpNdOpNdKsOda1Q+uzQeizQeivPeCqKt326/r////ctPGrONnVqOmhHcmpNdOlMMugK8GaCL6dKLueKLtKMq4XAAAAFnRSTlMAL0hZA73/vf////////////////+9gN7jewAAAJZJREFUeAHF0oUNxEAMAMEkx8z9t3oURuH/WLyyRR7+aZzAbBqPBSJ8gOAuEnxCdhFfbG2kDasoptW4xolWmAvBpaLNtEbQF7UoOGsZbFFVJVaaqeIhcnOKtqG8R1uco3uIrrBmOeuKU3Rz1A9xXdzHyVeOl6SNb6Y1jr4JRW3VOKz8Kvpu2KR4knYRplODH29yBsv8QAZJkxC9n+zJ7wAAAABJRU5ErkJggg==",
"source_info_link": "https://dolphin-anty.com/blog/en/reliable-residential-proxies-for-global-data-collection/"
}
},
"date": "May 12, 2026",
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Under the hood
A GEO Recommendation Engine doesn't invent recommendations. It analyzes multiple data sources.
1. Search Intelligence
Using a provider like TalorData, it collects:
- Organic search results
- AI Overviews
- Featured snippets
- People Also Ask
- Related searches
- Search intent
- Competitor pages
- SERP features
I started with TalorData because their JSON gives you the raw SERP structure, PAA questions, related searches, all of it. Not a dashboard with nice charts, but actual data I can feed into a script.
2. Your Content
It analyzes:
- Page content
- Headings
- Metadata
- Schema
- FAQs
- Internal links
- Images
- Technical SEO
The trickiest part here is getting your page into a format an LLM can actually reason about.
3. Competitor Content
It compares your page against:
- Top-ranking pages
- AI-cited pages
- Industry leaders
This is where TalorData shines. You get the top 10 organic results with sitelinks and snippet text. You don't have to guess what Google thinks is relevant the SERP tells you.
4. AI Analysis
A large language model (such as OpenAI) reasons over all of the above to identify meaningful opportunities.
This is the secret sauce. Without an LLM, you have a nice spreadsheet. With an LLM, you have something that can look at a SERP, read your page, and tell you why you're missing the AI Overview snippet.
I used OpenAI's reasoning models because they seem better at this kind of comparative analysis than the chat models. Your mileage may vary.
What Does It Produce?
Instead of producing raw SERP data, it produces recommendations such as:
Content Recommendations
Example:
Competitors explain OCR and ATS integration. Your article does not.
Recommendation:
- Add an OCR section
- Explain ATS compatibility
- Include an architecture diagram
This one took me a while to get right. The LLM kept being too vague consider adding more content about ATS. I had to build in examples from the SERP data, so the recommendations actually pointed to specific competitor content.
Entity Recommendations
AI systems understand topics through entities.
Instead of saying:
"Use the keyword 'resume parser' more often."
It says:
Add entities like:
- OCR
- ATS
- JSON Resume
- Skill Taxonomy
- Embeddings
- Semantic Search
Entities are the nouns that matter to AI. When I first started testing this, I didn't realize how much the knowledge graph data matters. If you're not building content around those entities, you're not speaking the same language as the AI.
FAQ Recommendations
From AI Overviews and People Also Ask:
Current page:
- 3 FAQs
Recommended:
- 15 FAQs
Examples:
- Can ChatGPT parse resumes?
- How accurate is AI resume parsing?
- Which ATS systems are supported?
People Also Ask is gold for this. I initially ignored it, but then I noticed that AI Overviews basically expand on PAA questions. If your content doesn't answer those questions with proper schema, you're leaving citations on the table.
Schema Recommendations
Example:
Current:
- Article
Recommended:
- FAQPage
- SoftwareApplication
- HowTo
Schema is table stakes at this point. I'm not talking about meta keywords from 2005. I'm talking about Service, Product, FAQPage, HowTo the structured data that tells AI exactly what your content is.
Technical Recommendations
Examples:
- Missing structured data
- Missing canonical URL
- Slow page speed
- Poor heading hierarchy
Authority Recommendations
Competitors reference:
- Academic research
- Standards
- Official documentation
Recommendation:
- Cite authoritative sources
- Add product documentation
- Improve trust signals
This one surprised me. AI systems seem to weigh citations more heavily than I expected. A page that links to official documentation or academic papers gets cited more often than one that just has strong opinions.
Conclusion
GEO is the new frontier of search optimization. Traditional SEO isn't dead, but it's incomplete. By combining TalorData's SERP intelligence with systematic entity, topic, and schema analysis, you can build content that AI systems trust and cite.
The recommendation engine I've built transforms raw SERP data into actionable strategy. In the case of TalorData, it identified multiple GEO points of untapped potential from pricing transparency to API documentation. The biggest wins weren't from traditional SEO levers. They came from fixing commercial gaps and product clarity that AI systems need to cite your content.
The question isn't whether AI will dominate search. It's whether you'll be ready when it does.
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