SEVEN AI SEO MISTAKES THAT KEEP YOU OUT OF THE ANSWERS
By Ben Fildes · 7 July 2026 · 5 min read
- The commonest failure is burying the answer, models lift text that states a claim up top, not essays that meander to a point
- Adjectives cannot be quoted, so "trusted and reliable" copy leaves a machine nothing to cite
- Publishing more thin pages hurts, one authoritative answer beats forty half-answers every time
- Flying blind is the meta-mistake, if you never measure your citations you cannot tell what is working
Most businesses that are invisible in AI answers are not invisible because the work is hard. They are invisible because of a handful of specific, avoidable mistakes, the same ones over and over. Burying the answer, drowning in adjectives, chasing volume, blocking the crawlers, faking authority, ignoring the questions people actually ask, and flying blind on measurement. Fix those seven and you fix most of the problem. Here they are, with what to do instead.
1. Burying the answer
The most common mistake, and the most costly. A page that opens with three paragraphs of throat-clearing before it says anything useful gives a model nothing clean to lift, so it quotes a competitor who just said the thing. AI answers are built by lifting clear claims, and a claim buried on line forty might as well not exist.
Do this instead: state the answer to the page's core question in the first 100 words. Lead with it. You can add nuance and story afterwards, once the quotable answer is banked at the top. This whole article does it, on purpose.
2. Drowning in adjectives
"Trusted, reliable, bespoke, passionate, results-driven." A model reads that and finds nothing to repeat, because a machine cannot quote a feeling. It can only quote a fact. Adjective-soup copy is the default on most service sites, which is exactly why most service sites do not get cited.
Do this instead: replace adjectives with specifics. "Fast" becomes a response time. "Experienced" becomes years, projects or a named sector. "Local" becomes a named area. "Affordable" becomes a price. I go deep on this in structured data for AI search, but the rule is one line: give the machine something exact to name.
Most invisibility in AI answers comes from a few avoidable habits. Each has a plain fix.
- Bury the answer — the point arrives on line forty
- Drown in adjectives — "trusted and reliable", nothing to quote
- Chase volume — forty thin pages, cited never
- Fly blind — no idea whether AI names you
- Answer in the first 100 words — state the claim a model can lift
- Replace adjectives with facts — a place, a number, a timeframe, a price
- Write fewer, better — one authoritative answer, cited again and again
- Measure your citations — track share of AI voice and the trend
| Option | Detail |
|---|---|
| The mistake: Bury the answer | the point arrives on line forty |
| The mistake: Drown in adjectives | "trusted and reliable", nothing to quote |
| The mistake: Chase volume | forty thin pages, cited never |
| The mistake: Fly blind | no idea whether AI names you |
| The fix: Answer in the first 100 words | state the claim a model can lift |
| The fix: Replace adjectives with facts | a place, a number, a timeframe, a price |
| The fix: Write fewer, better | one authoritative answer, cited again and again |
| The fix: Measure your citations | track share of AI voice and the trend |
3. Confusing volume with progress
The instinct, when told to do content, is to publish more. More posts, more words, more keywords. That is exactly wrong. A model does not reward you for forty thin articles. It rewards one genuinely authoritative, clearly structured answer on a domain it trusts, and it cites that one page over and over.
Do this instead: write fewer, better. One page that is the clearest source on the internet for a real question beats forty that half-answer forty questions. Depth and clarity get cited. Volume gets ignored, and can even dilute the authority of the good pages you do have.
4. Blocking the crawlers by accident
Plenty of sites, worried about AI using their content, added rules that block GPTBot, ClaudeBot and the rest, then wondered why they never appear in AI answers. You cannot be cited from a page the engine was never allowed to read. Others are not blocking on purpose at all, they just have a messy robots.txt or a site so slow and JavaScript-heavy that crawlers give up.
Do this instead: check your robots.txt actually allows the answer-building crawlers, and make sure your important content is in the HTML, fast and reachable. The full technical checklist is in how AI crawlers read your site.
5. Trying to game it
Somebody will always sell an instant "rank number one in ChatGPT" hack: fake FAQ schema, stuffed pages, manufactured authority. It backfires. The models and the search engines are getting better at spotting manufactured authority, not worse, and the durable outcome of gaming is a demoted domain, not a cited one.
Do this instead: be the real answer. Getting cited is earned over weeks by genuinely being the clearest, most credible source on a question. It is slower than a hack and it is the only version that lasts.
6. Answering questions nobody asks
You can write beautifully structured, answer-first pages and still get nowhere if they answer questions your buyers never type. And buyers talk to AI differently than to Google. "Best CRM" is a Google search. "Which CRM should a 12-person recruitment agency use if we already run Google Workspace" is an AI prompt, and a far better thing to own, because the person asking is closer to buying.
Do this instead: mine the real questions, the long, specific ones your buyers ask on sales calls, in support tickets, and now in chat boxes. Write the clearest answer on the internet to each. Match the machine's readers by matching their actual questions.
7. Flying blind
The meta-mistake that hides all the others. Most businesses have no idea whether AI names them, so they cannot tell what is working, cannot spot a competitor pulling ahead, and cannot justify the effort. Worse, because AI influence often happens without a click, a clicks-only report can show a genuine win as a loss and lead you to cut it.
Do this instead: measure your citations. Track how often AI names you against your competitors for the queries that matter, and watch the trend. The full approach is in how to measure AI search visibility, but the principle is simple: you cannot improve what you cannot see.
The pattern behind all seven
Notice what these have in common. Every one is a version of failing to be clear, specific and genuinely useful to a machine that is ruthless about all three. AI SEO is not a trick you bolt on. It is the oldest idea in marketing, be the best answer to a real question, with a new reader who happens to be a model. The businesses that get cited are the ones that took that seriously. The rest are making one of these seven mistakes and cannot see it.
Start by seeing which mistakes are costing you
You cannot fix what you cannot see, which is mistake seven, so start there. Get a baseline of how often AI names you against your competitors for the questions your buyers ask, and look at which of your pages get cited and which do not. The mistakes above tend to jump out of that data.
That baseline is exactly where our AI Search product begins, with a free scan. See the gap, see what the cited sources do that you do not, and then decide which of these is worth fixing first.
Founder of Neon Gorilla. First Class BA in Marketing and an MSc in Enterprise and Innovation (Distinction) from Keele. Previously co-founded Beast Biltong with Eddie Hall, stocked in 2,000+ stores. Everything here is written from our own campaign logs, not theory.
More about Ben →Run a free scan on your own domain: see how often ChatGPT and Google AI Overview cite you versus your competitors. Then AI Search is how you close the gap. We owe you 1 client in 90 days, or it's free until you get one.