AI SEO Services
An AI visibility audit anyone can buy, with no website build required. I pull the real prompts where AI assistants already retrieve your site, show you which competitors won the citation instead, and hand back the schema, crawler and passage fixes that close the gap.
Quick Overview
AI SEO Services, defined
AI SEO — also sold as generative engine optimization or answer engine optimization — is the work of making a website the source an AI assistant cites, not merely one it reads. ChatGPT, Perplexity, Google AI Overviews, Gemini and Claude retrieve dozens of pages to compose a single answer and then name two or three. Most sites lose at that last step, silently. The useful part is that it can be measured: you can pull the prompts that already retrieve a domain, see exactly which competitors took the citation, and rewrite the pages that lost. I sell that measurement as a fixed-scope audit, and you do not need to be a client to buy one.
On 2026-08-12 I ran a DataForSEO LLM-mentions pull against my own domain. ChatGPT returned three prompts about local SEO cost and value. My pricing guide appeared in the retrieved search results for all three of them, and in the cited sources for none. Reddit, BrightLocal, Search Engine Land and SEO.com took those citations instead. Retrieval is not citation, and the distance between the two is measurable.
The case for ai seo services
Most advice about ranking in AI search is written by people who have never measured whether it worked. That is the whole problem. An AI assistant composing an answer does two separate things: it retrieves a set of candidate pages, then it decides which two or three to name. Those are different contests, and a site can win the first and lose the second every single time without anyone noticing, because nothing in Google Search Console reports it. I know this because it is happening to me. In August 2026 I pulled the LLM-mentions data for my own site and found ChatGPT retrieving my local SEO pricing guide across three separate prompts and citing Reddit instead. Not a competitor with a bigger budget — a forum thread. That is a bruising thing to discover about your own work, and it is also the most useful thing I have learned about AI search all year, because it points at a fixable cause rather than a vague one. Looking at what actually won those citations, the pattern is dull and consistent: the pages that got named led with an explicit number or a price table in the first screen. The pages that got dropped, mine included, opened with context and worked up to the number. Assistants quote what is quotable. Everything else in this discipline — schema coverage, crawler permissions, entity disambiguation, passage length — is downstream of that one habit. The audit exists because guessing at this is expensive and measuring it is not.
AI SEO Services key stats
ChatGPT retrieved builtwithdias.com in three local-SEO prompts on 2026-08-12 and cited it in none of them. Published as the starting point this service is measured against.
Source: DataForSEO LLM mentions, chat_gpt, pulled 2026-08-12
Mentions pull, live SERP and AI Overview check, schema and crawler-policy audit, and a per-page citable-passage rewrite spec.
The audit is sold standalone to any site on any platform. Ongoing optimization work still requires a build I control.
US search volume for "ai seo services" at keyword difficulty 2, with an average cost per click of $78.77 — a buyers market that almost nobody publishes a real process for.
Source: DataForSEO keyword overview, United States, pulled 2026-08-12
Deliverables
LLM Mentions Pull
- ▸Every recorded prompt where an AI assistant retrieves your domain
- ▸Cited sources versus retrieved results, split out per prompt
- ▸The competitors winning each citation, named
- ▸AI search volume per prompt, so you know which losses cost the most
- ▸Dated and re-pullable, so the next run is a real comparison
Live SERP & AI Overview Check
- ▸Whether an AI Overview fires for your money queries
- ▸Which sources it cites and how they open their pages
- ▸Keyword difficulty and volume for the terms you actually want
- ▸Referring-domain bar across the top ten, so you know if links are the blocker
Schema & Crawler Policy Audit
- ▸JSON-LD coverage and validity, page type by page type
- ▸Contradictions between your schema, your pricing page and your llms.txt
- ▸robots.txt review for AI crawler access, including the named-agent trap
- ▸llms.txt presence, accuracy and drift from the live site
Citable-Passage Rewrite Spec
- ▸The specific pages losing citations they should be winning
- ▸A 50 to 80 word passage written for each one, ready to paste
- ▸Where the number belongs on the page and why it is not there now
- ▸Entity disambiguation fixes for ambiguous terms in your niche
Our Process
Mentions Pull
I pull every recorded prompt where an AI assistant already retrieves your domain, and split retrieval from citation. This is the step that tells us whether you have an invisibility problem or a quotability problem, and they need opposite fixes.
SERP & Overview Check
A live pull on your money queries: does an AI Overview fire, who does it cite, and how do those pages open. Run fresh on the day rather than from a cached report, because these results move week to week.
Schema & Crawler Audit
I read your JSON-LD, robots.txt and llms.txt against each other and against the live pages, looking for contradictions. Two surfaces publishing different prices for the same business is the common one, and it is quietly corrosive.
Rewrite Spec & Walkthrough
You get written passages for the pages that are losing, the schema and crawler fixes listed in priority order, and a call to walk through it. Implement it yourself, hand it to your developer, or hire me for the build.
How ai seo services plays in MA
I work from Billerica, Massachusetts, and for local SEO that location matters enormously — proximity is a live ranking factor and I would not claim otherwise. This service is the exception. An AI visibility audit is diagnostic work performed against public data and your own pages, so where I sit while running it is irrelevant to the result; the DataForSEO endpoints return the same prompt records whether the domain belongs to a plumber two towns over or a manufacturer in Oregon. What being small and local does change is the incentive. I run this audit on my own site first and publish what it says, including the parts where I am losing, which is not a thing an agency with a floor of retainers to defend tends to do. If you are a Massachusetts business the local layer is worth buying too, and it lives on my local SEO and GEO page. If you are anywhere else, the audit stands on its own.
AI SEO Services vs. the alternatives
vs. Generative engine optimization agencies
Most sell a monthly retainer before showing you a single measurement. This starts with a fixed-scope audit that tells you whether you have a problem at all, and roughly a third of the time the honest answer is that your pages are being cited fine and you should spend the money elsewhere.
vs. AI visibility tracking software
Tools report the number and stop there. A dashboard telling you that you are cited in 4% of prompts does not tell you that your pricing page buried its number in paragraph four. The audit ends with the rewrite spec, not the chart.
vs. Doing nothing until AI search matters more
Defensible, and sometimes correct. The cost of waiting is that the pages currently being retrieved and dropped are the same pages competitors are being cited from today, and citation patterns are sticky once an engine settles on a source.
See the detailed head-to-head breakdowns:
Terms worth knowing
The jargon that comes up in ai seo services conversations, defined plainly.
FAQs
No. The audit is the one thing here sold to any site on any platform — Wix, Squarespace, WordPress, a custom build, it does not matter, because the diagnosis runs against public data and your live pages. Ongoing optimization work is different: that still requires a site I built, because I cannot promise results on a foundation I do not control. The audit tells you what is wrong. Acting on it is yours to delegate however you like.
Four parts. A DataForSEO LLM-mentions pull showing the prompts that already retrieve your domain and which competitors are cited instead. A live SERP and AI Overview check on your money queries. A schema and crawler-policy audit covering your JSON-LD, robots.txt and llms.txt, including contradictions between them. And a citable-passage rewrite spec: actual written passages for the pages that are losing citations. Everything is dated and re-pullable, so a second run months later is a real comparison rather than a vibe.
The audit is fixed-scope and quoted directly rather than listed here, because the size of the prompt set varies a lot by niche and I would rather quote you honestly than publish a number I have to walk back. Get in touch and I will scope it. For context, my published website plans run $299 and $450 a month and Premium builds start at $5,500, so you can assume this is priced like a solo practitioner and not like an agency retainer.
Three cases. If your site is under six months old with almost no content, there is nothing for an assistant to retrieve yet and the audit will tell you very little — publish first. If you already know your pages open with context instead of numbers, you can fix that yourself for free by reading my guides. And if AI search is not where your customers are, spend the money on the Google map pack instead; for most Massachusetts trades that is still where the leads come from, and I will say so on a call.
Yes, three names for one practice, which is a fair sign of how young it is. Generative engine optimization is the term the industry publishes under, answer engine optimization is the term that best describes the goal, and AI SEO is what buyers actually type. Worth knowing that the GEO acronym collides with geology, geography and a given name — when I pulled ChatGPT mentions for it on 2026-08-12, Vogue and Dictionary.com showed up among the top cited domains. That ambiguity is a real reason to spell the term out on your own pages.
One number: the share of tracked prompts where your domain appears in the cited sources, not just the retrieved results. I record it dated at the audit and re-pull it later against the same prompt set. My own site sits at zero of three prompts as of 2026-08-12, published on this page, and I will keep publishing it as it moves. If a provider cannot show you a before number, they have no way to show you an after one.
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