Adobe for Business published a piece this week called SEO in 2026: How AI is reshaping the fundamentals of search. It made the rounds fast, and a few clients sent it to me asking whether they should be worried. Short answer: no. Longer answer below.
I want to walk through what the article actually said, then give you my take on what's useful in it and what I think Adobe glossed over.
What Adobe Published
The piece argues that AI has moved from a layer on top of search to the substrate underneath it. Adobe's analysts point to 3 main shifts they say are reshaping SEO in 2026.
First, they argue that AI Overviews and AI-driven answer engines are now intercepting a meaningful slice of informational queries before users ever reach a website. They cite rising zero-click rates and a shift in how publishers are seeing traffic mix change, with informational pages losing clicks while commercial and navigational pages hold steady.
Second, they argue the unit of optimisation is changing. Instead of optimising a page for a keyword, brands need to optimise entities, passages, and structured data so that AI systems can extract and cite them. Adobe frames this as a move from page-level SEO to passage-level and entity-level SEO.
Third, they argue that brand signals matter more than ever. Citations, mentions across trusted sources, review velocity, and consistent entity data across the web are what AI systems use to decide who to surface. They position this as the new authority layer.
You can read the original piece on Adobe for Business.
The 66th Take: 2 of Those 3 Are Right. The Framing Is Off.
Adobe's analysts are mostly correct on the mechanics. Where I push back is the framing that 2026 is some kind of rupture point. It isn't. The shifts they describe have been visible since late 2023, and the agencies doing this work properly have been adapting in real time. The article reads like a wake-up call to brands who slept through 2 years of change.
Where Adobe Is Right
The entity and passage point is the most important thing in the article. I've been telling clients for 18 months that AI systems do not read your page the way Google's classic index does. They extract claims, attribute them to entities, and decide whether to cite you based on whether the passage is self-contained, specific, and verifiable.
That has practical consequences. A 2,000-word page where the answer to a question is buried in paragraph 14 will lose to a 600-word page where the answer is the second sentence. We restructured a SaaS client's documentation hub around this idea last summer, and their citation rate in Perplexity went from near zero to showing up on 22% of the queries we tracked.
Adobe is also right about brand and citation signals. This is the 20% of GEO that isn't just really good SEO. Consistent entity data on Wikipedia, Wikidata, G2, Crunchbase, industry directories, and trusted publications all feed the knowledge graphs that AI systems lean on. If your brand isn't a clean entity to a machine, you won't get cited no matter how good your content is.
Where Adobe Is Wrong, or At Least Misleading
The article implies that traditional SEO fundamentals are being replaced. They aren't. They're being extended.
Here's how I think about the old vs new landscape, and what actually changed:
| Element | Pre-AI Search | 2026 Reality |
|---|---|---|
| Keyword research | Volume and difficulty | Volume, difficulty, plus intent clusters and entity coverage |
| On-page optimisation | Title, H1, body keywords | Same, plus passage structure and schema |
| Authority signals | Backlinks and domain rating | Backlinks, plus citations, mentions, reviews, entity consistency |
| Technical SEO | Crawlability, speed, indexing | Same, plus rendering for AI crawlers and structured data validation |
| Content strategy | Topic clusters and hub pages | Same, plus depth maps and passage-level answer design |
Nothing in the right column replaces the left column. Every single row is additive. The brands that are winning in AI search right now are the ones with strong classic SEO foundations who layered the new signals on top. The brands losing are the ones who either ignored the new signals or, worse, abandoned the fundamentals to chase AI optimisation as a separate discipline.
What This Means for Local Businesses and Growing Brands
If you run a local business or a growing brand, the Adobe article will probably scare you. Don't let it. Here's what I'd actually do:
1. Audit your entity presence first. Search your brand in Google, ChatGPT, and Perplexity. If the answers are inconsistent or wrong, fix Wikidata, your Google Business Profile, and the top 5 directories in your industry before you touch anything else.
2. Restructure your top 10 pages for passage extraction. Put the answer first. Use clear H2s framed as questions or specific claims. Keep paragraphs short. Add FAQ schema where it makes sense.
3. Build review velocity. Reviews are the most underused GEO signal in the local market. AI systems lean on aggregated review content heavily when deciding who to recommend.
4. Don't fire your SEO. The shifts Adobe describes don't make SEO obsolete. They make bad SEO more obvious. If your agency is publishing AI-generated content at scale with no editorial layer, you have a problem. If they're doing depth-mapped, expert-reviewed content with strong technical foundations, you're already doing GEO whether they call it that or not.
The Real Takeaway
Adobe's article is useful because it puts the shifts in front of a corporate audience that may not have been paying attention. That's a service. But the framing that 2026 is a fundamentals reset is overstated. The fundamentals didn't reset. They expanded. The agencies and in-house teams who built strong foundations in 2023 and 2024 are the ones whose clients are showing up in AI Overviews and ChatGPT citations today.
If you're worried after reading the Adobe piece, the answer isn't to throw out your SEO playbook. It's to ask whether your playbook ever had the fundamentals in it to begin with.
