A new industry report dropped this week trying to answer the question every founder is asking me right now: which services actually get your brand cited by ChatGPT, Perplexity, and Google AI Overviews? The findings line up almost exactly with what we've been telling clients for 18 months. Let me walk through it.
What the Report Found
The 2026 AI Search Visibility Report, published via Issuewire on May 7, evaluated providers across the emerging GEO (Generative Engine Optimisation) space. The report measured which services actually moved the needle on brand recommendations inside large language models, not just rankings on Google's traditional results page. You can read the original announcement on Issuewire here.
The headline finding: services built around traditional SEO fundamentals plus structured entity work outperformed services selling pure "AI optimisation" or "prompt engineering for brands." The providers that won citations in ChatGPT and Perplexity were the ones doing 3 things consistently:
- Publishing specific, expert content with clear authorship and topical depth
- Building real entity signals: consistent NAP data, Wikipedia and Wikidata presence, structured citations across trusted directories
- Earning authoritative backlinks and review velocity from real sources
The services that underperformed were the ones promising shortcuts. AI-generated content at scale, schema markup as a standalone tactic, and "LLM training data submission" services (which is mostly a made-up category) all ranked at the bottom for actually moving brand mentions.
The 66th Take: This Confirms What Our Client Data Already Showed
I'll say the quiet part out loud. Most of the "GEO industry" that has sprung up over the last 18 months is repackaged SEO with a different invoice line. And the 2026 report just confirmed it with data.
Here's our position, and we've been saying this since early 2024: GEO is 80% really good SEO and 20% entity management, citation building, and structured review signals. That's it. There is no secret door to ChatGPT. There is no API where you submit your brand to Perplexity. The LLMs are trained on, and retrieve from, the open web. The same web Google has been indexing for 25 years.
What Actually Drives Citations in AI Answers
When ChatGPT recommends a local business, or when Google AI Overviews cites a source, it's pulling from a few specific places. We've watched this happen across 30+ client accounts. The pattern is consistent.
| Old SEO Landscape | 2026 GEO Reality |
|---|---|
| Rank on page 1 of Google | Get cited inside the AI answer above page 1 |
| Backlinks from any DR 30+ site | Backlinks from sources LLMs trust (news, .edu, niche authorities) |
| Keyword-stuffed service pages | Specific, expert content with clear entity associations |
| Generic 5-star reviews | Detailed reviews with service keywords and locations |
| Basic GBP listing | Fully built entity: GBP + Wikidata + structured citations + review velocity |
| Schema as a checkbox | Schema as a way to disambiguate your entity from competitors |
The Trap to Avoid
If a vendor pitches you a "GEO package" that does not include the SEO fundamentals, run. I've reviewed 4 of these proposals in the last 60 days for prospects who came to us second. They all charge between $3,000 and $8,000 a month for what amounts to a few prompt tests, some schema markup, and a monthly report that screenshots ChatGPT mentioning the brand 2 times.
That's not a strategy. That's a vanity metric.
The brands actually winning AI citations are doing the boring, compounding work. One of our clients, a home services company in the Lower Mainland, was flat for 9 months on traditional SEO before the curve broke. We wrote about that compounding curve in detail here. What we did not write much about at the time was that during those 9 months, we were also building their entity profile: Wikidata entry, structured citations across 60+ niche directories, review velocity programs, and depth content for every service line. Today they get cited in ChatGPT for 12+ service queries in their region. That did not come from a GEO product. It came from doing the work.
What This Means for Your Budget in 2026
If you're a local business or a growing brand looking at next year's marketing spend, here's my honest read on the report and what to do with it:
- Don't split your budget into "SEO" and "GEO" buckets. They're the same budget. Anyone telling you otherwise is selling you 2 invoices for 1 service.
- Audit your entity, not just your rankings. Are you on Wikidata? Is your NAP consistent across 50+ citations? Do you have a clear, structured "about" presence on the open web? If not, that's where 20% of your effort goes.
- Stop chasing AI-generated content volume. The report flagged this as actively negative. We've seen the same pattern. Sites that scaled content with AI in 2024 got hammered in 2025 updates and are invisible in AI answers in 2026.
- Invest in real authority. 1 detailed case study with original data outperforms 40 generic blog posts. Every time.
- Watch your reviews. Review velocity, language, and recency feed both Google and the LLMs. We covered why reviews are an SEO asset here.
The Bigger Picture
Every algorithm shift, every new search interface, every report like this one keeps confirming the same thing. The fundamentals win. Specificity wins. Real authority wins. The shortcuts get punished, sometimes slowly, sometimes overnight.
This report is good news if you've been doing the work. It's bad news if you've been buying the shortcut. And it's a useful filter when you're evaluating who to hire next. Ask any agency pitching you GEO services this simple question: what percentage of your work is traditional SEO fundamentals? If the answer is anything less than 70 to 80%, you're being sold a story.
The 2026 landscape rewards the same thing the 2018 landscape rewarded. Be the most useful, most specific, most credible source on your topic. The bots will figure out the rest.
