Search & AI · AI SEO services
AI-Assisted SEO, Directed and Checked by Experts
AI has changed how fast SEO work can be done. It has not changed what makes SEO work. We use AI to analyse more data, draft faster and monitor continuously, and we keep every decision about strategy, accuracy and quality with a specialist.
- Best for
- Teams with more search opportunity than hours to pursue it
- Works alongside
- Core SEO, content, AEO and GEO
- Typical horizon
- Faster production within weeks; ranking gains follow the usual months
- Measured in
- Time to publish, share of pages earning traffic, organic leads
In short
What are AI SEO services?
AI SEO services combine two things. The first is using AI models to do search work faster and across more data: grouping queries, finding content gaps, drafting briefs and pages, and watching a site for problems. The second is preparing that site to be read and cited by AI search features. In both, a specialist decides what to target and checks every output before it is published, because a model can produce fluent text that is wrong.
The problem
Signs it is time to rethink AI SEO.
- 01
Your team uses AI tools, and output has gone up while results have not.
- 02
AI-written pages are thin, repetitive or quietly wrong.
- 03
Keyword and competitor research still takes weeks.
- 04
Nobody is sure which AI-assisted work is safe to publish.
Why AI SEO matters
The companies gaining from AI in search are not the ones publishing the most. They are the ones using it to see more of the market, move faster on what matters and keep a person accountable for what goes live.
What is included
What do our AI SEO services include?
AI workflows for research, content and monitoring, with human strategy and validation. The scope is set by the audit: you get the parts you need, in the order that pays back soonest.
- 01
Search data analysis at full scale
Manual research samples a market because nobody has time to read all of it. With models doing the sorting, we can classify every query your site and its competitors appear for, then let a strategist decide what the patterns mean.
- Query clustering by intent and topic
- Search Console data mined beyond the interface limits
- Results page feature mapping per cluster
- Competitor coverage compared page by page
- Opportunities scored for value and effort
- 02
Evidence-based content briefs
A brief is where most AI content goes wrong, because the model is asked to write before anyone has decided what the page is for. Ours start from search evidence and your own subject knowledge, and a strategist signs each one off.
- One search intent and one job per page
- Questions and subtopics the page must cover
- Facts, sources and examples supplied by your experts
- Internal links to and from the page
- Points the draft must not claim
- 03
Assisted drafting and refresh
Models are good at first versions, restructuring and spotting what an old page is missing. They are unreliable on facts, figures and anything specific to your business, so drafts are treated as raw material for an editor.
- First drafts written from approved briefs
- Refreshes for pages losing visibility
- Titles and descriptions for large page sets
- Consolidation of overlapping pages
- House style and terminology enforced by rules
- 04
Human validation and editorial control
This is the part that makes the rest safe to use. Every batch passes a review with defined checks, and some categories of content are never automated at all.
- Fact and source checks on every claim
- Subject specialist review for regulated topics
- Duplicate and near-duplicate detection
- Named reviewer recorded against each page
- A written list of tasks kept fully manual
- 05
Automation for technical upkeep
Much of technical SEO is repetitive checking that slips when a team is busy. Scripts and models take over the watching, and people act on what they find.
- Internal link suggestions across the site
- Structured data generated from page content
- Alerts for indexing and status code changes
- Content decay detection by page group
- Crawl comparisons after each release
- 06
Readiness for AI search
AI search features read your pages through the same crawling and indexing as classic search, then summarise or cite them. We make sure the site is accessible to those systems and that its key facts are stated plainly enough to be reused.
- Crawler access rules reviewed for AI user agents
- Answer-first structure on priority pages
- Consistent brand and product facts across the site
- Original data and statements worth citing
- A baseline of how assistants currently describe you
How it works
How does AI-assisted SEO keep quality under control?
The risk in AI SEO is not the model. It is a process with no checkpoint between a prompt and a published page. A sound workflow has five stages, and a person owns the decision at the first and fourth.
- 1
Gather
Search, crawl and analytics data is collected into one place, far more than a person could read.
What we doConnect Search Console, crawl output and competitor data, and remove noise such as brand and irrelevant queries.
- 2
Classify
Models group queries and pages by intent and flag gaps, overlap and decay.
What we doReview the groupings, correct mislabelled intent and choose which opportunities are worth the effort.
- 3
Draft
Briefs, metadata and first versions are generated from the approved evidence.
What we doSupply the facts, constraints and examples the model cannot know, so it is not left to invent them.
- 4
Validate
Each output is checked against sources, existing pages and editorial rules.
What we doEdit, fact-check and reject. Anything a specialist would not put their name to does not go live.
- 5
Monitor
Published pages are crawled, indexed and judged by searchers over the following weeks.
What we doTrack which assisted pages earn traffic and leads, and feed the result back into the next cycle.
Process
What does a typical AI SEO engagement look like?
Timings are typical and depend on site size and how quickly changes can be shipped. You will know the plan, and the reasoning behind it, before execution starts.
Read our full methodology- 1
Weeks 1 to 2
Assessment
We review current organic performance, how your team already uses AI tools and where hours are being lost. Existing AI-written pages are sampled for accuracy and duplication.
- Baseline of organic performance and production time
- Risk review of existing AI-assisted content
- 2
Weeks 2 to 4
Market analysis
Query and competitor data is clustered and scored. A strategist turns the output into a ranked list of what to build, refresh, merge or leave.
- Opportunity and gap analysis
- Priority list with reasoning
- 3
Weeks 4 to 6
Workflow design
Pipelines are built around your CMS and tools for the tasks where models are dependable. Review points and manual-only tasks are written down before anything is produced.
- Workflow library with checkpoints
- Quality and accuracy guidelines
- 4
Month 2 onward
Assisted production
Briefs, pages and refreshes ship in batches. Each batch is reviewed by a specialist, and technical monitoring runs in the background.
- Reviewed pages and refreshes each cycle
- Alerts triaged by a person
- 5
Every month
Quality and results review
We read output quality and business results side by side. Workflows that produce pages nobody visits are changed or switched off.
- Performance report tied to leads
- Adjusted workflows and priorities
Deliverables
What you receive.
- AI-assisted opportunity and gap analysis
- Content briefs backed by search data
- Workflow library with review checkpoints
- Quality and accuracy guidelines
- Automated monitoring and alerts
- Monthly performance report
Technology and tools
- Large language models
- Google Search Console API
- Screaming Frog
- Ahrefs or Semrush
- Python and BigQuery
- Your CMS
Platforms we typically work across. Named for clarity, not as partnerships or endorsements.
Expected business outcomes
How is AI SEO success measured?
- 01Time from opportunity to published page
- 02Share of AI-assisted content that earns traffic
- 03Non-brand organic visibility
- 04Organic leads
Targets are set after the audit, against your own baseline. We do not promise figures before we have seen the data, and results vary by market and starting point.
Who does what
AI accelerates
- Clustering and classifying large query sets
- Drafting briefs, metadata and first versions
- Detecting gaps, decay and anomalies
Experts decide
- Choosing what is worth targeting
- Checking facts, tone and usefulness
- Deciding what must never be automated
Compare
AI-assisted SEO or fully automated AI content?
Both use the same models. The difference is whether a person decides what gets made and checks it before it is published, and that difference shows in what happens to the pages afterwards.
| AI-assisted SEO | Fully automated content | |
|---|---|---|
| Who decides topics | A strategist, from evidence | A keyword list and a prompt |
| Accuracy | Checked against sources | Unverified, errors go live |
| Volume | Fewer pages, each with a purpose | Very high, mostly similar |
| Risk | Low, with accountable review | Spam policies and brand damage |
| Cost per page | Higher, includes expert time | Very low |
| Best use | Pages buyers rely on | Internal drafts and prototypes |
Our viewAutomation is cheap per page and expensive per useful page, because most of what it publishes earns nothing and some of it harms trust. Assisted work costs more to produce and is the only version we would put on a site that depends on its reputation.
See how we approach content SEOWho it is for
Is AI SEO right for your business?
- In-house teams that want to use AI responsibly
- Sites with large content inventories
- Businesses that tried AI content and saw no results
- Companies scaling SEO without scaling headcount
AI SEO by industry
AI SEO by market
Questions
AI SEO services: frequently asked questions.
Something we have not covered?
Talk to a Growth StrategistWhat is AI SEO?
AI SEO is search engine optimisation carried out with the help of AI models, and increasingly it also means preparing a site for AI search features. Models handle analysis, drafting and monitoring. People choose the strategy and verify the output. The ranking factors themselves are the same as for any other SEO work.
How much do AI SEO services cost?
Cost depends on the size of your site, how much content needs producing or refreshing, and how much review your sector demands. Regulated subjects need more specialist time. We do not publish a fixed price. A growth audit comes first, and the proposal that follows explains the scope and the reasoning.
Does Google penalise AI-generated content?
Not for being AI-generated. Google's guidance is about whether content is helpful, original and reliable, however it was produced. What its spam policies do target is content produced at scale mainly to manipulate rankings, with little value to readers. Unreviewed bulk publishing falls into that category very easily.
Is AI SEO cheaper than traditional SEO?
It lowers the cost of research and first drafts, and it does not remove the cost of judgement. The saving is usually spent on covering more of the market at the same budget instead of on a smaller invoice. If a quote is far cheaper than expected, ask who reviews the output.
AI SEO vs GEO: what is the difference?
AI SEO is the umbrella: using AI to do search work well, and making a site ready for AI search in general. GEO is a specialism within it that measures and improves how often your brand is named and cited inside generated answers. Many businesses start with the first and add the second.
Can we just use ChatGPT for SEO ourselves?
You can, and for outlines, rewrites and idea generation it is useful. It does not have your Search Console data, your competitors' coverage or your product facts unless you supply them, and it will fill gaps with plausible guesses. The value of a managed service is the data, the process and the checking.
How quickly will we see results from AI SEO?
Production speeds up within the first few weeks, once workflows are in place. Search results follow the normal pattern: refreshed pages can respond within weeks, and new pages in competitive areas usually take several months. Publishing faster does not make search engines evaluate pages faster.
What do you need from us to get started?
Access to Search Console, analytics and your CMS, a list of the AI tools your team already uses, and time with someone who knows the product well enough to correct a draft. That last item matters most. Without subject input, models produce generic pages.
How do you measure whether AI-assisted content is working?
We tag assisted pages and track them as a group: how many are indexed, how many earn impressions and clicks, and how many contribute to leads. That is reported alongside production time. A workflow that produces pages quickly and none of them earn traffic is counted as a failure.
Related services
What works best alongside AI SEO?
- SEOTechnical, content and authority work prioritised by commercial value and measured against pipeline.
- AEOStructured answers, question coverage and entity clarity so your content can be chosen as the answer.
- GEOEntity signals, content depth and citations that shape how generative systems describe your brand.
More in Search & AI:SEOAEOGEOLocal SEOGoogle Maps SEOEcommerce SEOInternational SEOEnterprise SEOTechnical SEOContent SEODigital PR
Start with a growth audit
Stop Buying Marketing Activity.Start Building a Growth Engine.
Tell us where you are today, where you want to go and what is holding growth back. We’ll identify the highest-impact opportunities.
What happens next
- 1
You tell us where you are
A short form about the business, its goals and what is holding growth back.
- 2
A strategist reviews it
Search, AI visibility, paid media, content and conversion, read together.
- 3
You get the priorities
The highest-impact opportunities, in order, with the reasoning shown.
No obligation, and no guaranteed outcomes promised. Just an honest read of where you stand.
Have a strategist review your AI SEO.
Get Your Growth Audit