My predictions for SEO 2026
These are my predictions for SEO for 2026
Written by
AI search
Dec 26, 2025
SEO has seen huge transformation in 2025 and I’m very confident there’s plenty more of that coming in 2025. Here’s what we expect to see next year.
My predictions
Below I expand each quick-list item into the practical mechanics and actions teams should take - aligned to the exact predictions above.
AI-generated content will skyrocket
What’ll happen: Content volume explodes; noise rises. Only content with unique evidence or an authoritative POV gets cited by AI answer systems.
What to do about it: Use AI to draft and iterate, but layer in proprietary data, expert quotes, and concise extractable sections so models can easily cite you.
The fundraising bubble will burst
What’ll happen: Consolidation accelerates; fewer, larger players control distribution and tooling.
What to do about it: Prioritize vendor resilience, exportable data, and integrations; favor partners with scale and clear SLAs.
ChatGPT (and similar) will roll out ads or ad-like placements
What’ll happen: Paid placements inside chat interfaces create prompt-level demand signals and paid + organic feedback loops.
What to do about it: Track paid prompt performance, test intent-driven creative, and treat chat ad signals as a new keyword-research input.
Paid and organic will blend even more
What’ll happen: Interfaces show blended inventory; paid influences what gets surfaced as an answer.
What to do about it: Coordinate paid campaigns and content to shape the answer-layer - not just landing pages but the evidence snippets agents use.
2–3 new “platforms to rank for” become mandatory
What’ll happen: LLM chat platforms, Perplexity-style answer engines, and community surfaces (Reddit/forums) become primary discovery layers.
What to do about it: Pick 2–3 priority platforms, build extractable assets for each (FAQ blocks, short canonical answers, community playbooks), and measure SOV per platform.
AI search will drive more revenue than classic organic in many categories
What’ll happen: Fewer low-value clicks, more recommendation-driven conversions and agent-driven purchases.
What to do about it: Reframe attribution, track assisted conversions from AI platforms, and optimize for recommendation-readiness (clear value statements, pricing, proof).
“SEO is dead” keeps trending (but it’s wrong)
What’ll happen: The discipline reframes from ranking to visibility engineering across multiple answer surfaces.
What to do about it: Expand SEO skillsets to include entity modeling, source credibility, and structured evidence that models can use.
Google pushes an agentic browser direction
What’ll happen: Agents can browse, interact, and complete tasks - meaning vendors are chosen by agents, not just by answers.
What to do about it: Make product and policy data machine-friendly (APIs, structured feeds), minimize friction for agent actions (forms, trial signups), and prioritize trust signals.
Black hat SEO will target AI search
What’ll happen: Manipulated citations, synthetic reputation, and prompt injection attempts will surface.
What to do about it: Monitor for malicious signals, harden public pages against prompt-injection patterns, and amplify genuine citations via trusted channels.
. AI Mode absorbs AI Overviews
What’ll happen: Single-shot overviews give way to persistent conversational paths; visibility requires coverage across the user journey.
What to do about it: Create content sets (short answers + linked deeper pages + evidence snippets) that support follow-ups and sustained conversational context.
Half of AI search tools will disappear
What’ll happen: Tool churn and consolidation will remove many niche measurement providers.
What to do about it: Keep a short tool stack, ensure exportable data, and scenario-plan for acquisitions or shutdowns.
Perplexity gets acquired (or is in M&A conversations)
What’ll happen: Major acquisitions change citation ecosystems and integration priorities.
What to do about it: Treat platform ownership shifts as plausible and plan for rapid integration or reprioritization of where you publish evidence.
Where Telepathic helps
Telepathic is built for this multi-platform, evidence-driven visibility problem. Practical features that map directly to the quick list:
Automated AI research on current brand performance (tracks citations and share-of-voice across platforms)
AI-driven content optimization that surfaces extractable snippets and evidence for citation
Targeted backlink recommendations tied to AI citation needs (quality over quantity)
AI-guided Reddit/community engagement to influence the conversations models read
If you want to operationalize the shift with a lean team, focus on extractable evidence, platform prioritization, and automation — that’s exactly where Telepathic fits.
FAQs
Q: Which predictions need immediate attention?
A: Prioritize AI content extractability, platform prioritization (2–3), and making your product/policy data machine-friendly for agents.
Q: Will AI content rank?
A: Only when it contains unique evidence, clear methodology, or an authoritative POV that’s easy for models to extract and cite.
Q: How should I measure success?
A: Track AI share-of-voice for priority prompts, citation frequency, sentiment/accuracy, and assisted conversions — complement traditional traffic metrics with these.
Would love to hear what you think!
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