How SEO teams make AI unmissable in their content workflows

What agencies, in-house teams and consultants told us about using AI to optimise existing website content — from use cases and tooling to trust, review and results.

N = 204 · in-house SEOs, content leads, agency specialists and consultants

97%
Adoption

Use AI regularly to optimise existing content

61%
Oversight

Require substantial or full human review of AI output

100%
Impact

Optimise more pages since adopting AI

1

Who answered

Agencies dominate the sample — nearly six in ten respondents work agency-side, with in-house teams and independent consultants making up most of the rest.

204respondents by team type
Agency59%
In-house17%
Consultant14%
Agency / consultant3%
No clear declaration7%
2

Regular use is the norm, not the exception

Occasional or experimental use has all but disappeared — for these teams, AI is a standing part of the optimisation workflow.

Regularly
197 of 204 · 97%
97%
Occasionally
7 of 204 · 3%
3%
Testing / not using
0 of 204 · 0%
0%

97% use AI regularly to optimise existing website content. Based on respondents who answered this question.

I use AI regularly to improve existing website content, but only as an assistant to the editorial and SEO workflow, not as an autonomous editor.

KS Kruno SulićFounder, Cliprise ✓ Verified respondent
3

Search intent leads the way

Multiple-choice question — totals exceed N. Classic on-page work still dominates, but a quarter of teams already use AI for AI-visibility and AEO/GEO tasks.

Search intent
168 of 204 · 82%
82%
Topical gaps
138 of 204 · 68%
68%
Structure, headings & answer blocks
117 of 204 · 57%
57%
Internal linking
109 of 204 · 53%
53%
Updates / freshness
73 of 204 · 36%
36%
Prioritisation
73 of 204 · 36%
36%
AI visibility, citations & AEO/GEO
51 of 204 · 25%
25%
82% · search intent 68% · topical gaps 25% · AEO / GEO

Search intent realignment on existing pages is where I see the highest ROI — most sites already have the content, it's just misaligned with what searchers actually want now.

CA Carlos AlvarezFounder & CEO, Baseline Digital Marketing Agency ✓ Verified respondent
4

Capacity is the headline win

Recurring mentions rather than a single selected answer per respondent. Teams talk about throughput and time first — rankings and conversions follow.

More pages updated / greater team capacity
134 of 204 · 66%
66%
Time saved on audits or refresh preparation
70 of 204 · 34%
34%
Better rankings, visibility or recovered positions
56 of 204 · 27%
27%
AI search visibility or citations
≈28–35 of 204 · 16%
16%
Better conversions, leads or traffic quality
21 of 204 · 10%
10%

Across our client portfolio, AI roughly tripled how many existing pages we can improve each month. The bottleneck moved from analysis to editorial judgment — which is exactly where you want it.

KE Kinga EdwardsCEO, Brainy Bees ✓ Verified respondent
5

Most still review everything — but trust is growing

Almost half of respondents review every single AI recommendation. At the same time, nearly three in ten now ship with little to no review — a sign of maturing confidence in AI-assisted workflows.

61%require substantial or full review
Review every recommendation47%
Substantial review14%
Some review10%
Little to no review29%
🛡

61% require either substantial review or review of every AI recommendation — yet 29% already publish with little to no review. Trust in AI output is splitting the industry into two camps.

Every recommendation gets reviewed, because AI is confident even when it is wrong, and shipping its suggestions unchecked is how you bloat a page with filler that dilutes the thing that was working.

CC Christopher CoussonsDirector, Visionary Marketing ✓ Verified respondent
6

Every single team optimises more pages

Zero respondents reported no change or a decrease. Two thirds say the increase is substantial.

67%
say AI increased pages optimised a lot
33%
say pages optimised increased somewhat
0%
reported no change or a decrease

Do teams measure AI-assisted optimisation separately?

Sometimes
151 of 204 · 74%
74%
Yes, always
44 of 204 · 22%
22%
No
9 of 204 · 4%
4%

We went from updating maybe 5 older posts a month to refreshing 20 to 25. Rankings on refreshed pages improved within 4 to 6 weeks on average.

RE Rick ElmoreCEO, Simply Noted ✓ Verified respondent
7

General-purpose LLMs first, data layers second

Multiple-choice question. Most stacks pair a general LLM with an SEO platform as the data layer; fully custom workflows remain a niche.

ChatGPT (alone or with other tools)
98 of 204 · 48%
48%
Claude (alone or with other tools)
70 of 204 · 34%
34%
SEO platform as data layer + LLM
49 of 204 · 24%
24%
Custom workflows, GPT wrappers, automations
14 of 204 · 7%
7%

We used AI to identify search intent drift on a client's cornerstone guide that had been stagnant for over a year. After a targeted rewrite, the page moved from position 9 to position 2 within five weeks, and organic traffic to that URL increased by 140%.

TJ Tom JaunceyFounder & Head Nerd, Nautilus Marketing ✓ Verified respondent
8

More findings

Five extra questions from the survey — on AI search, frustrations, red lines, tooling habits and budgets.

AI search

Has AI search (AI Overviews, ChatGPT, Perplexity) changed your optimisation priorities?

Yes, fundamentally38%
Somewhat — we adapt existing playbooks44%
Not yet18%
Pain points

What's your biggest frustration with AI in content optimisation?

Generic, samey output41%
Hallucinated facts and stats27%
Missing live SERP context17%
Losing brand voice11%
Other4%
Red lines

What would you never hand over to AI?

The final publish decision36%
Strategy and prioritisation28%
Client communication19%
Brand voice and tone12%
Nothing is off-limits5%
Tooling habits

Do you use a content scoring / on-page optimisation platform alongside your LLM?

Yes, on every optimised page46%
Occasionally, for priority pages31%
No, LLM only23%
Budgets

How will your AI budget for content optimisation change in the next 12 months?

71%
plan to increase spend on AI-assisted optimisation
26%
will keep budgets at the current level
3%
expect to decrease AI spend
Refresh triggers

What most often triggers a refresh of existing content?

Ranking or traffic drops44%
Scheduled content audits27%
AI-flagged decay or content gaps21%
Competitor or SERP movement8%

In the past, we were only able to audit our most important URLs, but with AI, it's now possible to audit older content that we wouldn't have been able to audit manually due to the time it would take.

ES Elliot SterlingSenior Content Strategist, Opus Virtual Offices ✓ Verified respondent

A fintech client went from 121 to 4,330+ Google AI Overview appearances in 12 months. The lever wasn't publishing more — it was restructuring existing content around long-tail, question-based queries that AI actually responds to.

BY Brandie YoungCo-Founder, RankWriters ✓ Verified respondent
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