“Best NetSuite partner for manufacturing.” “Should we use the vendor’s services team or an independent firm?” “Who does ERP rescue projects?”
These prompts are being typed into ChatGPT and Perplexity right now, by real buyers, and the answers name real firms. When the model answers, it either recommends your practice or it recommends someone else’s. Most consulting firms have no idea which is happening.
Generative engine optimization, GEO, is the discipline of influencing that answer. It is real, it is measurable, and it is buried under more hype than any topic in marketing. This guide separates the mechanics from the theater, for consulting firms specifically. It is one piece of the larger question of how to market ERP implementation services, but it is the piece changing fastest.
What GEO Actually Is (and the Hype to Ignore)?
GEO is the practice of making your firm and content more likely to be retrieved, cited, and recommended by AI systems. The term comes from academic research that tested which content characteristics increase visibility in generated answers and found real effects from citations, statistics, and quotable specificity.
That is the credible core. Around it has grown an industry of secret frameworks and proprietary scores sold by consultants who have never seen inside the systems they claim to hack.
Google’s own position: it’s still SEO
Google has published explicit guidance on AI features, and the summary deflates the hype: there is no special optimization for AI Overviews. The systems build on the same index, crawling, and quality signals as search, and the search essentials still define the game.
The honest framing: GEO is SEO with a wider set of surfaces to win and a new kind of reader. For consulting firms this is good news, because almost nobody in your channel has done the SEO either.
How AI Engines Build a Partner Shortlist?
You cannot influence what you do not understand, and the retrieval mechanics are knowable.
When a buyer asks for “the best ERP implementation firm for food manufacturing,” the system typically fans the question out into sub-queries, retrieves candidate sources from a search index, and synthesizes an answer citing the sources it leaned on. Perplexity shows this visibly. Google’s AI features do it behind the scenes.
Three implications for a consulting firm:
- Retrieval is search. Ranking still matters, because the model can only recommend what it can find.
- Synthesis favors structure. Sources that answer sub-questions directly get lifted into answers, so page structure matters.
- Recommendations lean on third-party corroboration. Directories, review platforms, roundups, and community discussion carry the weight, because models favor consensus over self-description.
When a model names partners, it is usually citing the vendor directory, a partner roundup, or a review platform, not the firms’ own homepages. Your site is one voice. The chorus decides.
Foundation First: If You Don’t Rank, You Won’t Get Cited
The least glamorous finding in GEO is the most important. AI answers draw overwhelmingly from content that already performs in ordinary search. A firm invisible on page four does not get retrieved, and content never retrieved never gets cited. That is why a working SEO strategy for ERP consulting firms is the prerequisite, not the afterthought.
The foundation list is familiar:
- Crawlable, indexable pages, verified in Search Console.
- A site free of the defects that plague consulting sites: broken case study links, placeholder metas, orphaned pages. All findable in an afternoon with Screaming Frog.
- Real content answering real buyer questions: the bottom-of-funnel pages, cost guides, trigger-term pages, and micro-vertical proof that earn rankings the ordinary way and do the heavy lifting in ERP lead generation.
One AI-specific check: confirm your robots.txt is not blocking the crawlers you want, including AI user agents. We find this own goal on consulting sites regularly.
Making Content Extractable
Models quote what they can cleanly lift. Writing for extraction is a style, and it favors how good consultants already communicate. It is the same discipline behind effective content marketing for ERP companies, applied with a new reader in mind.
Lead every section with the answer, then elaborate. A cost page that opens with “a mid-market implementation typically runs between X and Y, driven by these four factors” hands the model a usable quote. Three paragraphs of wind-up hand it nothing.
Prefer specifics over adjectives. The GEO research found statistics, quotations, and cited claims measurably increase visibility in generated answers. “Cut month-end close from nine days to three for a 120-person distributor” is extractable. “We drive operational efficiency” is noise.
Keep decision-relevant pages current and dated. Retrieval skews fresh, and a stale pricing claim repeated by a model with your name attached is worse than silence.
Add structured data where it genuinely describes the page. Organization, FAQ, service. One more layer of machine legibility.
The Third-Party Mention Engine
Ask any AI assistant to recommend ERP firms and watch what it cites. Directories. Review platforms. Partner roundups. Community threads. Rarely a firm’s own site.
That citation pattern is the strategy:
- Complete, current profiles on G2 and Clutch with steady review velocity, because those platforms feed the exact retrievals models run.
- Presence in the vendor directory and the credible partner roundups in your ecosystem, which matter more now than they have since the directory era of SEO. In the NetSuite channel, this overlaps heavily with the fundamentals of SEO for NetSuite partners.
- Genuine community participation. Consultants being helpful in the forums and subreddits where admins live produces the organic mentions models read as consensus.
None of this can be faked at scale without eventually poisoning your own well. Astroturfed reviews are detectable, against every platform’s terms, and a reputational grenade for a firm whose entire product is trust. Earn the chorus.
Entity Consistency Across the Web
Models assemble their understanding of your firm from every description they can find. If your site says ERP consultancy, your LinkedIn says digital transformation partner, and a directory says software reseller, the model’s picture of you blurs, and blurry entities get recommended less.
The fix is boring and effective. One canonical description of what your firm does, for whom, in which verticals, at what scale. Propagated everywhere: site, social profiles, directories, review platforms, partner listings.
Consulting firms are especially prone to drift here because positioning evolves faster than old listings get updated. It is one of the first things we audit in any NetSuite partner marketing engagement. Do the cleanup once, then guard it.
Measuring AI Visibility Without a $500/mo Tool
The GEO tool market is young and priced like it. A consulting firm can get most of the signal manually.
Build a prompt set of fifteen to twenty questions your buyers actually ask:
- Best partner for your verticals.
- Rescue and re-implementation queries.
- Vendor services versus independent firm.
Run them monthly across ChatGPT, Perplexity, and Google’s AI features, and record three things: whether your firm is mentioned, how it is described, and which sources get cited. Track the trend in a spreadsheet.
The cited-sources column is the actionable one. It tells you exactly which directories, roundups, and platforms to invest in next. Semrush’s GEO overview covers the tooling landscape if you outgrow the manual approach, but do not let the absence of a dashboard delay the practice. The trend is the insight, and the trend is free.
What to Skip: llms.txt, Chunking Hacks, and Other Theater?
A working filter for GEO advice: if the tactic claims to work without improving your content or your third-party footprint, it is probably theater.
Current examples:
- The llms.txt file has no confirmed adoption by the major systems, and Google has publicly dismissed special AI optimization tricks. Adding it is harmless. Expecting results from it is not a strategy.
- Exotic chunking rewrites that mangle readability for imagined retrieval gains sacrifice the human buyer for a robot that never asked.
- Prompt-injection stunts, hiding instructions to AI systems in your pages, range from useless to radioactive for a firm selling trust.
- Proprietary GEO scores. Any vendor pitching one should be asked what decisions the score changes, a question that tends to end the meeting.
The unglamorous truth holds. Rank for the questions, answer them directly with numbers from real delivery, keep claims current, and make sure the ecosystem corroborates you. That is GEO for a consulting firm. Everything else is a pitch deck.
IgnitX builds AI search visibility into every SEO program we run for ERP consulting firms and partners. If you want to know how the models currently describe your practice, ask us for a baseline.
