On GEO services vs SEO, most of an SEO team's week does not change. Crawlability, information architecture, internal linking and content quality still carry the work, and Google states plainly that optimizing for its generative AI features is still SEO. Three habits do change: prompt research alongside keyword research, briefs written for an extractable answer, and a report that shows presence in AI answers as well as position.
Most SEO leads arrive here because someone above them read a post about GEO and asked what the team is doing about it. The useful answer is not a category lecture, it is a sprint board. If you need the category boundaries first, they are written up in our breakdown of LLMO vs SEO vs GEO vs AEO. What follows is the week itself.
The short answer: GEO services vs SEO, most of the work is the same and three habits are not
Start from what the search engine says about its own surfaces rather than from vendor marketing. Google's guide to optimizing for generative AI features on Google Search states that from Google Search's perspective, optimizing for generative AI search is optimizing for the search experience and thus still SEO, and that there are no additional requirements to appear in AI Overviews or AI Mode. Its AI features documentation is equally direct about eligibility: to be shown as a supporting link in AI Overviews or AI Mode a page must be indexed and eligible to be shown with a snippet, fulfilling the existing Search technical requirements, with no additional technical requirements. GEO vs SEO is not a rebuild.
So what actually changes? Three habits, and they are habits rather than projects. First, prompt research sits beside keyword research, because the phrasings that trigger AI answers do not look like the head terms in your rank tracker. Second, briefs specify an extractable answer, because an assistant lifts a passage rather than a page. Third, the report shows presence in AI answers next to position, because position on its own no longer describes the surface a buyer sees.
Everything else survives contact with AI search. The strategic question of how to divide effort between the two is a different piece and we have already written it: the AEO and GEO strategy guide covers the split, and the SEO and AEO budget model covers what it costs. Read those for the decision. Read this for the week.
The Monday standup, before and after
A traditional SEO standup runs four items: crawl and index issues raised since Friday, ranking movement worth explaining, content in flight, and whatever the developers broke. That agenda survives unchanged into an AI search workflow.
Three items get added. Answer spot checks come first: one person runs a rotating slice of the prompt set on each engine and reports, in one line, whether the brand was named and which sources were cited instead. Crawler access comes second, as a standing check rather than a project, because a single blanket bot rule shipped by a well meaning platform engineer can remove you from the surface you are trying to win. Answer block debt comes third: which published pages still open with a warm up paragraph instead of a direct answer.
The crawler item fails silently, so it deserves specifics. OpenAI documents separate crawlers with separate jobs, where OAI-SearchBot controls whether you appear in ChatGPT search answers, GPTBot is the agent publishers disallow to exclude content from training, and ChatGPT-User covers user triggered fetches that OpenAI says robots.txt rules may not apply to. Anthropic documents ClaudeBot for training, Claude-SearchBot for search quality and Claude-User for user initiated retrieval, says disabling Claude-SearchBot may reduce your site's visibility and accuracy in user search results, and notes that the robots.txt rule has to be repeated on every subdomain you care about. Nobody needs to become a crawler expert. Somebody needs to own the line in robots.txt and notice when it changes.
What a GEO services brief asks for that an SEO brief does not
An SEO brief already carries the target query, the intent, the competitors to beat, the internal links to place, the word count band and the structural outline. All of that stays. A brief written for generative engine optimization vs SEO adds four fields, and none of them adds a day to the work.
Field one, the answer block. A forty to seventy word paragraph at the top answering the title question standalone, with no pronoun that depends on the headline. Field two, the claim and source table. Every number paired with the specific page that carries it, checked by the writer rather than the editor. Field three, the entity sentence. One sentence naming your company and what it does in the same breath as the topic, so an assistant has something attributable to lift. Field four, the byline. Google's guidance on creating helpful, reliable, people-first content asks whether it is self evident who authored the content, whether pages carry a byline where one would be expected, and whether that byline leads to more about the author. Those are answerable questions, so answer them in the template rather than in review.
What the brief should not gain is padding. Longer is not more citable, and a thin piece with a schema block on top is still a thin piece, which is the argument in AEO will not fix average content. If you want the full page level treatment rather than the brief level one, it is in our LLMO playbook for optimising content for LLMs.
Keyword research becomes prompt research
Keyword research does not stop. It gains a sibling, and the reason is measurable. Pew Research Center's analysis of the browsing data of 900 US adults found that 8 percent of one or two word Google searches produced an AI summary, rising to 53 percent for searches of ten words or more. Your rank tracker is full of two word head terms. The AI surface is triggered by sentences. If your research only ever produces head terms, you will never see the queries where the new surface actually appears.
How to run it. Write each keyword cluster out as full sentence prompts in five families: category definition, shortlist requests, head to head comparisons, objection and pricing questions, and implementation questions. Never name your own brand inside a shortlist prompt, because that guarantees the mention you are measuring. Freeze the wording and version any change instead of editing in place, or next month's numbers will not compare. We start at thirty to sixty prompts for one ICP, which is our working rule rather than a published standard.
The output feeds two places: the content calendar, because a prompt family with no owned page behind it is a brief waiting to be written, and the measurement panel below. Engine behaviour differs enough to be worth reading separately, so we have written up how to get cited by ChatGPT and how to get cited by Perplexity in B2B, and the retrieval patterns are not identical.
The reporting meeting: what you can and cannot show
Start with what is now first party. Google introduced generative AI performance reports in Search Console in June 2026, and the report documentation describes what you get: impressions measuring how often URLs from your site appeared in generative AI features in Search, broken out by page, country and device, with hourly through monthly granularity. Google says it rolled those insights out to all websites worldwide on 31 August 2026, so the chart is available, though a property with too few generative AI impressions may still see little data.
Now the harder half of the meeting. Do not present AI search as a traffic channel, because the same Pew analysis found users clicked a search result in 8 percent of visits where an AI summary appeared against 15 percent where it did not, and clicked a source inside the summary in just 1 percent of visits. A citation is a brand exposure event far more often than it is a session. Keep assistant referral traffic as its own small, caveated number using the method in tracking ChatGPT referral traffic in GA4, and never let it stand in for visibility.
That leaves the gap you fill yourself: a presence panel built from your own prompt runs, showing how often you were named and who was named instead. The build detail is in how to measure LLMO and AI visibility. Agree its shape with stakeholders before the quarter it is needed, and if the conversation turns into a budget argument, hand them the budget model rather than improvising a number.
GEO services vs SEO: who on the team actually changes what they do
The most common failure here is a reorganisation. Nobody needs a GEO pod. The new work attaches to roles you already staff, and writing it down role by role usually ends the headcount debate.
Read the last column as the real plan. Each role ships one artifact, once, and then maintains it. If a role cannot name its artifact, that role has not been given the work, and the change reverts to whoever is loudest about AI in your company. Tool selection is downstream of this table, which is why our LLMO checklist and tools review comes after the workflow rather than before it.
What to stop doing, and what to keep doing unchanged
Stop buying anything that promises AI rankings as a product feature, because there is no ranking to buy and Google's own optimisation guide includes a section mythbusting common AEO and GEO misconceptions. Stop running a separate GEO content calendar beside the SEO one, which doubles coordination cost and halves the depth of both. Stop circulating screenshots of assistant answers as evidence, because one answer is a sample. Stop treating an unlinked mention as a failed link building attempt.
Keep everything that makes a page retrievable in the first place. In the teams we have taken through this, the wins came from pages that were already crawlable, already indexed, already snippet eligible and already better than the alternative. Keep the refresh cadence, keep internal linking discipline, keep the technical backlog moving, keep bylines and credentials real.
One habit is worth adding to the keep list rather than the stop list, and it sits outside the SEO team's usual remit: earning accurate descriptions of your company on pages you do not own. Third party pages are what an assistant reaches for when it needs an independent characterisation, which is the argument laid out in brand mentions versus backlinks in AI search. It is slower than a technical fix and it outlasts every algorithm update.
Move Your SEO Team Onto GEO With DevCommX
DevCommX runs this as an operating change rather than a content project: we rebuild the brief template, build and freeze the prompt set with your sales team, stand up the run log and the baseline pass, and hand your team the artifacts in the table above so the work survives us leaving. We are a GTM engineering team first, which is why the reporting ends at pipeline rather than at impressions, and it is the same operating discipline that produced 40+ qualified demos in ~6 weeks, from our AI SDR work on a fully scoped programme with a defined ICP. Book a working session and bring your current sprint board.
References
- Google Search Central, Guide to Optimizing for Generative AI Features on Google Search, source for the statement that optimizing for generative AI search is still SEO, for there being no additional requirements to appear in AI Overviews or AI Mode, and for the AEO and GEO mythbusting section.
- Google Search Central, AI Features and Your Website, source for the rule that a page must be indexed and snippet eligible to appear as a supporting link in AI Overviews or AI Mode.
- Google Search Central Blog, Introducing Search Generative AI Performance Reports in Search Console, source for the June 2026 launch of those reports.
- Google Search Console Help, Generative AI Performance Report, source for impressions from generative AI features broken out by page, country and device.
- Pew Research Center, Google users are less likely to click on links when an AI summary appears in the results, 22 July 2025, source for the 8 against 15 percent click figures, the 1 percent click rate on in summary sources, and the 8 against 53 percent trigger rates by query length.
- Google Search Central, Creating Helpful, Reliable, People-First Content, source for the Who, How and Why self assessment questions about authorship and bylines.
- OpenAI, Overview of OpenAI Crawlers, source for the distinct roles of OAI-SearchBot, GPTBot and ChatGPT-User, and for OpenAI's note that robots.txt rules may not apply to ChatGPT-User fetches.
- Anthropic Help Center, Does Anthropic Crawl Data From the Web, and How Can Site Owners Block the Crawler?, source for ClaudeBot being the training crawler, for Claude-SearchBot and Claude-User covering search quality and user initiated retrieval, and for the per subdomain robots.txt directives.
FAQ
Is GEO different from SEO?
Operationally it is a small extension, not a separate discipline. Google states that optimizing for its generative AI features is optimizing for the search experience and therefore still SEO, with no additional requirements to appear in AI Overviews or AI Mode. What changes is three habits: prompt research beside keyword research, briefs that specify an extractable answer, and a report that shows presence alongside position.
Do I need a separate GEO team?
No, and splitting the team usually makes both halves worse. The new work attaches to roles you already staff: technical SEO checks crawler access and snippet controls, the strategist builds a prompt set, writers add an answer block, analytics logs answer runs. Treat it as new line items inside existing roles and review the load after one full quarter.
Does SEO still work in 2026?
Yes, and the AI surfaces depend on it. Google's documentation says a page must be indexed and eligible to be shown with a snippet to appear as a supporting link in AI Overviews or AI Mode. That makes crawlability, indexation and snippet eligibility prerequisites rather than legacy work. What has changed is that clicks are a weaker measure of whether the work landed.
In GEO services vs SEO, what changes first in the weekly workflow?
The brief changes first, because it is cheap and it compounds. Add a required forty to seventy word answer block at the top of every piece, a claim and source table, and a named author with real credentials. Prompt research is the second change, and the reporting contract with stakeholders is the third and the most political.
How do I report GEO results when there is no ranking number?
Report two things separately. First, impressions from Google's generative AI performance report, which covers AI Overviews and AI Mode and has been available to all websites worldwide since 31 August 2026. Second, a presence panel you build yourself by running a frozen prompt set on each engine and logging whether you were named. Never merge the two into one score.
Do I need new tools to run an AI search workflow?
Not to start. A spreadsheet holding your prompt set, run log and naming counts is a legitimate first implementation, and it forces you to define the measurement before you buy one. Add a paid tracker once the manual run is genuinely the bottleneck, and require any vendor to show you the raw runs behind its numbers.
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