Tech Graveyard/workflow
Traditional SEO (1997 to Dying)
I started GrackerAI in 2024 because traditional SEO stopped predicting traffic. AI answer engines cite. They do not rank. The whole optimization model needs to change.
Born 1997 · Still dying, projected end 2028 · Status: dying
By Deepak Gupta · Published · Last updated
Paired prediction: what replaces it in Future Tech
Certificate of Death
Name of decedent
Traditional SEO
- Born
- 1997
- Died
- Not yet
- Age
- 29+
Cause of death
AI answer engines cite sources instead of ranking them. The optimization model broke.
Survived by
Generative Engine Optimization (GEO), Answer Engine Optimization (AEO)
Invented by
The term emerged around 1997; Danny Sullivan helped popularize it
The hook
35% of US consumers now start product discovery with an AI tool, per a January 2026 Similarweb panel. Only 13.6% start with a search engine. The blue link era is ending for high-intent queries.
Thesis. SEO is not dying because Google got worse. It is dying because the user moved. More and more discovery happens in AI answers.
The story
The origin
1997. The term 'search engine optimization' enters use, and Danny Sullivan does much to popularize it. The practice grows from spammy keyword stuffing in the 2000s to legitimate craft by the 2010s. Content, links, schema, page speed, the full industrial stack.
The peak
2015 to 2020. Content marketing as a category. Link building as a profession. SEO teams at every B2B SaaS company. The model worked because Google was where users started.
The first crack
November 2022, ChatGPT public launch. Perplexity follows. Google panics and ships AI Overviews in May 2024. The interaction model for information retrieval changes faster than anyone in SEO predicted.
The traffic flip
AI Overviews steal featured-snippet traffic. ChatGPT cites instead of links. The click-through model breaks. In one Seer Interactive client study, ChatGPT traffic converted at 15.9% versus 1.76% for Google organic. The queries arriving at your site are different.
The new game
GEO and AEO. Get cited by the AI, not ranked by the algorithm. Different optimization targets (entity recognition, citation density, source authority), different metrics (citation rate per platform, answer inclusion), different content shapes (extractable, well-structured, schema-rich).
Key data points
- Term 'search engine optimization' in use: 1997
- ChatGPT public launch: November 2022
- Google AI Overviews launch: May 2024
- Similarweb US panel, January 2026: 35% start discovery with AI, 13.6% with search
- Seer Interactive client study: ChatGPT 15.9% vs Google organic 1.76% conversion
Contrarian angle
SEO consultants are still selling rankings. In my view, rankings stopped tracking revenue for many queries once AI answers arrived. The metric is fading, the practice is dying, and the industry is in denial.
The flip side
What replaces it
The paired prediction in Future Tech.
Read the predictionFAQ
Is GEO just SEO with a new name?
No. The optimization targets are different (citation by AI, not ranking by algorithm), the content shapes are different (extractable atoms, not long-form keyword targets), and the measurement is different. Same craft, different game.
Should I still care about Google rankings?
For commodity-information queries, less every quarter. For high-intent transactional queries, still yes. The Google share of total query volume is shrinking, but it is not zero.
How do I get cited by ChatGPT or Perplexity?
Three structural moves: well-structured factual content with named entities, schema markup (Article, FAQPage, HowTo), and authoritative external citations. Citation rate compounds with domain authority.
More from guptadeepak.com
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