E1183: ChatGPT is building more of its own search index, and that changes where SEO goes next.
David G. Quaid joins me to break down what OpenAI appears to be doing, how its cached web content starts to function like an index, and what SEOs need to understand if ChatGPT relies less on Google and Bing over time.
OpenAI has already discussed a long-term goal of serving most search traffic from its own first-party index. David explains why the change may already be happening: repeatedly fetching the same pages in real time costs too much, takes too long, and creates unnecessary dependence on traditional search engines.
We get into:
- Why ChatGPT's cache increasingly resembles its own search index
- OpenAI's stated goal of serving more searches from first-party indexed content
- Why the same small group of pages can receive tens of thousands of AI crawl requests
- How Common Crawl fits into ChatGPT's search infrastructure
- Why ranking #1 in Google does not automatically mean more visibility in ChatGPT
- How LLMs use query fan-out to retrieve multiple documents
- Why consensus across multiple sources matters more than being position #1
- How OpenAI could use Google for occasional quality checks instead of every search
- Why OpenAI does not need to recreate Google's exact ranking order
- Why Google's decades of spam-fighting experience still give it an advantage
- How quickly OpenAI could copy major search-engine concepts once SEOs expose weaknesses
- Why exact-match domains and separate satellite sites become interesting in AI search
- How fabricated awards, press releases, and repeated claims across multiple websites influence AI answers
- What the King of AEO experiments reveal about how easily AI systems accept manufactured consensus
- Why targeting less competitive query fan-outs creates more opportunities
- Why David still says doing strong Google SEO gives you the best foundation for AI visibility
We also discuss another major change happening in SEO: traditional rank tracking is getting less reliable.
Google's personalization and recent search changes increasingly create situations where rank trackers report positions that do not match what users actually see. David and I discuss why Google Search Console may become the real source of truth and why more SEOs may eventually build their own tracking systems around the Search Console API.
Other topics include:
- Whether traditional SERP trackers face an existential problem
- Why impressions can fall while clicks stay flat
- Google's increasing personalization of search results
- Why newer SEOs suffer most when ranking data becomes less reliable
- Why schema does not create authority simply because you declare an entity
- Why Google's Knowledge Graph does not require schema to understand a person or brand
- Why ChatGPT, Claude, Gemini, and Perplexity produce very different answers despite working from overlapping web information
- Why Google Images also prefers source diversity instead of showing one domain repeatedly
The biggest takeaway: even if ChatGPT builds its own index, the fundamentals do not suddenly disappear. It still needs to discover pages, decide which sources belong in its retrieval set, compare competing claims, and synthesize an answer. Optimize for Google and you land the most simultaneous high-value wins.
⭐️ David Quaid on 𝕏 - https://x.com/DavidGQuaid
⭐️ David Quaid on LinkedIn - https://www.linkedin.com/in/davidquaid/
⭐️ David Quaid on YouTube - https://www.youtube.com/@DavidQuaid
⭐️ David Quaid's agency - https://primaryposition.com/
💎 Compact Keywords - My SEO Course - Get paying customers through SEO - Clear step-by-step video breakdowns - SEO templates to be copied and adapted for your products and services: https://compactkeywords.com/
00:00 LLMs Building Indexes
00:51 Crawl Inefficiency Signals
02:37 Caching Becomes Index
03:20 King Of AEO Experiments
05:24 Common Crawl Shift
07:42 OpenAI Index Evidence
10:00 Schema And Knowledge Graph
13:23 Authority Without Browser Data
18:50 SEO Spam And Digg Moment
21:35 Preparing For LLM Indexing
26:20 Rank Trackers Breaking
32:01 Flying Blind On ROI
35:01 Why This Episode
35:52 Guest Debate Fallout
36:15 LLMs Building Indexes
37:39 Why Reddit YouTube Drop
42:17 Caching Over Live Fetch
44:25 Consensus Not Ranking
46:11 Early AI Spam Loopholes
48:05 Google vs Gemini Output
48:56 Fake Awards Gray Hat
51:50 Calling Out GEO Grifters
55:23 SEO Agency Horror Story
59:19 Variance Across Sources
01:00:54 Wrap Up Next Episode
The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/
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